Skip to main content
The Cochrane Database of Systematic Reviews logoLink to The Cochrane Database of Systematic Reviews
. 2025 Apr 8;2025(4):CD014855. doi: 10.1002/14651858.CD014855.pub2

Delayed initiation or reduced initial dose of calcineurin‐inhibitors for kidney transplant recipients at high risk of delayed graft function

Laia Oliveras 1,2, Pamela López-Vargas 3, Edoardo Melilli 1,2, Sergi Codina 1,2, Ana Royuela 4, Ana Coloma López 1, Alexandre Favà 1, Anna Manonelles 1,2, Carlos Couceiro 1,2, Nuria Lloberas 2, Josep M Cruzado 1,2, Nuria Montero 1,2,✉
Editor: Cochrane Central Editorial Service
PMCID: PMC11977049  PMID: 40197799

Abstract

Background

Kidney transplantation is the preferred therapy for many patients with kidney failure. Delayed graft function (DGF) is more common in donors after cardiac death (DCD), especially those with older age, longer cold ischemia time, or higher creatinine levels. Currently, there is no agreement on the optimal immunosuppressive approach for patients at increased risk of DGF. Strategies include delaying the introduction of calcineurin inhibitors (CNI) or using an initial low dose of CNI.

Objectives

To evaluate the benefits and harms of delayed initiation of CNI or reduced CNI dose as initial immunosuppression therapy for kidney transplant recipients at high risk of DGF.

Search methods

The Cochrane Kidney and Transplant Register of Studies was searched up to 11 December 2024 through contact with the Information Specialist using search terms relevant to this review. Studies in the Register are identified through searches of CENTRAL, MEDLINE, and EMBASE, conference proceedings, the International Clinical Trials Registry Platform (ICTRP) Search Portal, and ClinicalTrials.gov.

Selection criteria

All randomised controlled trials (RCTs) and quasi‐RCTs evaluating delayed versus early initiation of CNI or reduced versus standard initial dose of CNI in kidney transplant recipients at high risk of DGF.

Data collection and analysis

Three authors independently assessed study eligibility, and two assessed the risk of bias, certainty of evidence, extracted the data, and performed the analysis. Results were reported as risk ratios (RR) with 95% confidence intervals (CI) for dichotomous outcomes and as mean difference (MD) with 95% CI for continuous outcomes. Statistical analysis was performed using the random‐effects model. Risk of bias was assessed with the Cochrane risk of bias assessment tool 1.0, and the certainty of the evidence according to the Grades of Recommendation, Assessment, Development and Evaluation (GRADE) methods, which are presented in the summary of findings tables.

Main results

We included 12 studies (2230 randomised participants). All studies were performed in Europe. Around 60% of the participants were males, reflecting the expected proportion in the population on kidney replacement therapy in Europe. Most studies had insufficient information to judge adequate random sequence generation and, or allocation concealment. All studies were unblinded, and judged as high risk of bias for DGF if the definition was based on need for dialysis, and for acute rejection if the diagnosis did not require a biopsy. Overall, the level of certainty was low, and reasons to downgrade were mainly due to risk of bias and imprecision.

Delayed versus early initiation of CNI

There may be little or no difference in DGF between the groups (6 studies, 905 recipients: RR 0.92, 95% CI 0.76 to 1.12; low certainty evidence) or in acute rejection (8 studies, 1295 recipients: RR 1.02, 95% CI 0.75 to 1.40; low certainty evidence).

Delaying the initiation of CNI probably makes little or no difference to eGFR (6 studies, 851 recipients: MD ‐0.81 mL/min, 95% CI ‐3.33 to 1.72; moderate certainty evidence).

Delaying the initiation of CNI may make little or no difference to graft loss censored for death (8 studies, 1295 recipients: RR 1.58, 95% CI 0.68 to 3.65; very low certainty evidence) or to all‐cause death (8 studies, 907 recipients: RR 1.08, 95% CI 0.54 to 2.14; very low certainty evidence) although the evidence is very uncertain.

There is probably little or no difference in all infections between the groups (6 studies, 1226 recipients: RR 1.10, 95% CI 0.97 to 1.25; moderate certainty evidence).

Low versus standard initial dose of CNI

There may be little or no difference to DGF between the groups (5 studies, 983 recipients: RR 1.16, 95% CI 0.90 to 1.50; low certainty evidence) or in acute rejection (5 studies, 947 recipients: RR 0.83, 95% CI 0.52 to 1.30; low certainty evidence).

Starting CNI at a lower dose may make little or no difference to eGFR (5 studies, 935 recipients: MD 4.06 mL/min, 95% CI ‐1.36 to 9.48, low certainty evidence).

Starting CNI at a lower dose may make little or no difference to graft loss censored for death, although the evidence is very uncertain (5 studies, 983 recipients: RR 1.05, 95% CI 0.64 to 1.71; very low certainty evidence), or to all‐cause death (4 studies, 521 recipients: RR 1.01, 95% CI 0.41 to 2.47; low certainty evidence).

There is probably little or no difference in all infections between the groups (4 studies, 828 recipients: RR 0.87, 95% CI 0.71 to 1.07; moderate certainty evidence).

Authors' conclusions

There may be little or no difference in DGF or acute rejection when delaying the start of CNI or when starting it at a lower dose in kidney transplant recipients at high risk of DGF. The available data are of low certainty.

Plain language summary

Does delaying the initiation or starting calcineurin inhibitors at a lower dose reduce the risk of delayed recovery of a transplanted kidney?

Key messages

• After kidney transplantation (a surgical procedure where a kidney is transferred from one person ‐ the donor ‐ to another person ‐ the recipient), it may take a few days for the kidney to start working, especially if the kidney donor was older or the kidney was without blood flow for a long time.

• The best treatment for people at high risk of this delayed recovery is still unclear. Current options include delaying the use of a medication to prevent rejection, called a calcineurin inhibitor, or starting it at a lower dose.

What is the treatment for kidney failure?

Kidney transplantation (a surgical procedure where a kidney is transferred from one person ‐ the donor ‐ to another person ‐ the recipient) is the preferred treatment for most people with kidney failure because it improves quality of life and eliminates the need for dialysis (a procedure where a machine is used to remove waste products and excess salts and fluid from the blood when the kidneys stop working properly). After transplantation, it may take a few days for the transplanted kidney to start working. This condition is called delayed graft function. This delay is more likely when the donor kidney comes from someone older (usually older than 50 years of age) or who died from a heart condition, or when the kidney has been stored for a long time without blood flow. The best treatment for people at high risk of this delayed recovery is not yet known. Some approaches include delaying the start of calcineurin inhibitors (an immunosuppressive medicine that dampens down the body's immune system and prevents it from attacking the transplanted kidney) or using them at a lower dose.

What did we want to find out?

We wanted to know if delaying the initiation or starting calcineurin inhibitors at a lower dose can reduce the risk of delayed recovery of the kidney.

What did we do?

We searched for all studies that compared the benefits and harms of randomly allocating the delayed start of calcineurin inhibitors or using them at a lower dose in people who have received a kidney transplant and are at risk of delayed kidney function immediately after receiving the transplanted kidney.

We compared and summarised the studies' results and rated our confidence in the information based on factors such as study methods and sizes.

What did we find?

We reviewed 12 studies, with 2230 randomised participants, which compared delayed versus early initiation or reduced versus standard initial dose of calcineurin inhibitors for kidney transplant recipients at high risk of delayed recovery of the kidney.

All studies were performed in Europe. Around 60% of the participants were males, reflecting the expected proportion in the population on kidney replacement therapy in Europe. There may be little to no difference in delayed recovery of the kidney or acute rejection risk between any of the evaluated strategies. There may also be little or no differences found in kidney function, risk of death, or infection between the groups.

What are the limitations of the evidence?

We have little confidence in the evidence because studies used different types of additional treatments, and most studies were published more than 10 years ago.

How up to date is this evidence?

The review is current to 11 December 2024.

Summary of findings

Summary of findings 1. Delayed versus early calcineurin inhibitor (CNI) initiation for kidney transplant recipients at high risk of delayed graft function (DGF).

Delayed versus early calcineurin inhibitor (CNI) initiation for kidney transplant recipients at high risk of delayed graft function (DGF)
Patient or population: kidney transplant recipients at high risk of DGF
Setting: kidney transplant units
Intervention: delayed CNI (usually defined after day 3 post‐transplant or following evidence of improved graft function)
Comparison: early CNI (within first 3 days)
Outcomes Anticipated absolute effects (95% CI) Relative effect (95% CI) Nº of participants (studies) Quality of evidence Commentary
Risk with early CNI Risk with delayed CNI
DGF
Follow‐up: 1 year
309 per 1000 334 per 1000 RR 0.92 (0.76 to 1.12) 905 (6) ⊕⊕⊝⊝
low1
Delayed initiation of CNI may make little or no difference to DGF.
Acute rejection (clinical)
Follow‐up: 1 year
267 per 1000 256 per 1000 RR 1.02 (0.75 to 1.40) 1295 (8) ⊕⊕⊝⊝
low2
Delayed initiation of CNI may make little or no difference to acute rejection.
eGFR (mL/min)
Follow‐up: 1 year
The mean eGFR in the control group ranged from 45 to 66.5 Difference:
MD 0.81 lower
(3.33 lower to 1.72 higher)
‐‐ 851 (6) ⊕⊕⊕⊝
moderate3
Delayed initiation of CNI probably makes little or no difference to eGFR.
Graft loss censored for death
Follow‐up: 1 year
47 per 1000 71 per 1000 RR 1.58 (0.68 to 3.65) 1295 (8) ⊕⊝⊝⊝
very low3,4
Delayed initiation of CNI may make little or no difference to graft loss censored for death, but the evidence is very uncertain.
Death (all causes)
Follow‐up: 1 year
30 per 1000 27 per 1000 RR 1.08 (0.54 to 2.14) 1280 (8) ⊕⊝⊝⊝
very low3,4
Delayed initiation of CNI may make little or no difference to death (all causes), but the evidence is very uncertain.
Infection (all)
Follow‐up: 1 year
658 per 1000 606 per 1000 RR 1.10 (0.97 to 1.25) 1226 (6) ⊕⊕⊕⊝
moderate3
Delayed initiation of CNI probably makes no difference to infection (all).

*The risk in the intervention group (and its 95% CI) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).

CI: confidence interval, CMV: cytomegalovirus, eGFR: estimated glomerular filtration rate, MD: mean difference, RR: risk ratio

_____________________________________

GRADE Working Group grades of evidence

High certainty: We are very confident that the true effect lies close to that of the estimate of the effect

Moderate certainty: We are moderately confident in the effect estimate: The true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different

Low certainty: Our confidence in the effect estimate is limited: The true effect may be substantially different from the estimate of the effect.

Very low certainty: We have very little confidence in the effect estimate: The true effect is likely to be substantially different from the estimate of effect

_____________________________________

1 Due to very serious risk of bias (downgraded 2 levels): All studies were unblinded and only one based the DGF definition based on creatinine levels. Most of them did not report details about random sequence generation or allocation concealment.

2 Due to very serious risk of bias (downgraded 2 levels): All studies were unblinded. Most of them did not report details about random sequence generation or allocation concealment.

3 Due to serious risk of bias (downgraded 1 level): most of them did not report details about random sequence generation or allocation concealment.

4 Due to very serious risk of imprecision (downgraded 2 levels): total number of events fewer than 100, wide confidence interval.

Summary of findings 2. Low versus standard calcineurin inhibitors (CNI) initial dose for kidney transplant recipients at high risk of delayed graft function (DGF).

Low versus standard calcineurin inhibitors (CNI) initial dose for kidney transplant recipients at high risk of delayed graft function (DGF)
Patient or population: kidney transplant recipients at high risk of DGF
Setting: kidney transplant units
Intervention: low CNI dose (as defined by the authors)
Comparison: standard CNI dose (as defined by the authors)
Outcomes Anticipated absolute effects (95% CI) Relative effect (95% CI) Nº of participants (studies) Quality of evidence Commentary
Risk with standard CNI dose Risk with low CNI dose
DGF
Follow‐up: 2 years
217 per 1000 233 per 1000 1.16 (0.90 to 1.50) 983 (5) ⊕⊕⊝⊝
low1,2
Low CNI dose may make little or no difference to DGF.
Acute rejection (clinical)
Follow‐up: 2 years
175 per 1000 141 per 1000 0.83 (0.52 to 1.30) 947(5) ⊕⊕⊝⊝
low1,2
Low CNI dose may make little or no difference to acute rejection (clinical).
eGFR (mL/min)
Follow‐up: 2 years
The mean score in the control group ranged from 42.4 to 72.6 Difference:
MD was 4.06 higher
(1.36 lower to 9.48 higher)
‐‐ 935 (5) ⊕⊕⊝⊝
low3,4
Low CNI dose may make little or no difference to eGFR.
Graft loss censored for death
Follow‐up: 2 years
60 per 1000 70 per 1000 1.05 (0.64 to 1.71) 983 (5) ⊕⊝⊝⊝
very low3,5
Low CNI dose may make little or no difference to graft loss censored for death, but the evidence is very uncertain.
Death (all causes)
Follow‐up: 2 years
44 per 1000 34 per 1000 1.01 (0.41 to 2.47) 521 (4) ⊕⊕⊝⊝
low5
Low CNI dose may make little or no difference to death.
Infection (all)
Follow‐up: 2 years
582 per 1000 457 per 1000 0.87 (0.71 to 1.07) 828(4) ⊕⊕⊕⊝
moderate3
Low CNI dose probably makes little or no difference to infection (all).

*The risk in the intervention group (and its 95% CI) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).

CI: confidence interval, CMV: cytomegalovirus, eGFR: estimated glomerular filtration rate, RR: risk ratio, MD: mean difference.

_____________________________________

GRADE Working Group grades of evidence

High certainty: We are very confident that the true effect lies close to that of the estimate of the effect

Moderate certainty: We are moderately confident in the effect estimate: The true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different

Low certainty: Our confidence in the effect estimate is limited: The true effect may be substantially different from the estimate of the effect.

Very low certainty: We have very little confidence in the effect estimate: The true effect is likely to be substantially different from the estimate of effect.

_____________________________________

1 Due to serious risk of bias (downgraded 1 level): All studies were unblinded, and two of them did not report details about random sequence generation or allocation concealment.

2 Due to serious risk of imprecision (downgraded 1 level): total number of events fewer than 300.

3 Due to serious risk of bias (downgraded 1 level): two studies did not report details about random sequence generation or allocation concealment. Two studies were industry sponsored.

4 Due to serious risk of inconsistency (downgraded 1 level): I2 = 81%.

5 Due to very serious risk of imprecision (downgraded 2 levels): total number of events fewer than 100, wide confidence interval.

Background

Description of the condition

The number of people requiring kidney replacement therapy (KRT) worldwide in 2017 was 3.9 million. This number is expected to reach 5.4 million by 2030 (Huijben 2023; Liyanage 2015). The preferred mode of KRT is kidney transplantation; however, the number of people needing a kidney transplant exceeds the number of available organs. To increase organ availability, transplant modalities have expanded to include living donation, paired kidney exchange programs, the inclusion of expanded criteria donors (ECD), and donors after controlled circulatory death (DCD) (Johansen 2021). ECDs are defined as donors who are either (1) ≥ 60 years old, or (2) 50 to 59 years old with two of the following criteria: hypertension, terminal serum creatinine (SCr) > 1.5 mg/dL or death from cerebrovascular accident (Kawakita 2020).

Delayed graft function (DGF) is an important clinical issue in the kidney transplantation setting and can vary between 2% and 50%, depending on whether it was a donor after brain dead (DBD) or DCD organ (Bahl 2019). The most common definitions of DGF are the need for postoperative dialysis during the first week after kidney transplantation or failure of SCr to decrease by at least 10% daily on three consecutive days during the first week post‐transplant (Montagud‐Marrahi 2021). Recipients at greater risk of DGF include those receiving a DCD‐kidney transplantation, especially ECD kidneys, and those with longer cold ischaemia time (CIT), greater donor body mass index (BMI), or longer duration of pre‐transplant dialysis (Irish 2010; Kawakita 2020; Weber 2002). DGF impacts both short‐ and long‐term outcomes by increasing rejection rates and treatment costs, and is associated with residual graft dysfunction (Bahl 2019).

The standard immunosuppressive therapy for de novo kidney transplantation recipients includes a combination of mycophenolic acid (MPA), calcineurin inhibitors (CNI), corticosteroids, and different induction treatments based on the stratification of immune rejection risk (Ekberg 2007; Halloran 2004; KDIGO 2009). However, for patients at increased risk of DGF, there is no consensus on the optimal immunosuppressive approach (Lebranchu 2002; Ruiz‐Martínez 2019). There are several meta‐analyses that evaluate the effect of delaying the start of CNI or starting at a lower dose (Karpe 2017; Moore 2009; Sharif 2011), but not in our population of interest: kidney transplant recipients at high risk of DGF.

Description of the intervention

As the first ever used CNI, cyclosporin (CsA) changed the standard of care with a substantial increase in graft survival one year after kidney transplantation by reducing the incidence of acute transplant rejection and decreasing early graft loss. However, the use of CsA is associated with vasoconstriction and transient reduction of renal plasma flow, causing more frequent and longer DGF and, in some cases, a never‐functioning graft (Lusco 2017). Tacrolimus (TAC) is increasingly used in kidney transplant recipients, and conversely, its effect on renal haemodynamics is mild (Klein 2002; Radermacher 1998).

There are no Food and Drug Administration‐approved therapies to mitigate the ischaemic injury that occurs after DGF. In cases of increased risk of DGF, delayed introduction of CNI in the immediate post‐kidney transplant period has been used as a strategy to minimise its potential nephrotoxic effect with subsequent appearance of acute tubular necrosis (Bentata 2020; Fioretto 2011; Naesens 2009; Nankivell 2016). In these cases, induction therapy with thymoglobulin is usually applied to avoid rejection due to insufficient immunosuppression. However, since the use of thymoglobulin (ATG) is related to an increased risk of complications due to over‐immunosuppression, the benefits of delayed introduction of CNI to avoid subsequent nephrotoxicity remain controversial (Gonwa 2002).

In recipients with a high immunological risk, the effects of delayed introduction or reduced initial CNI dose strategy to prevent DGF should be balanced against the risks of acute rejection and chronic antibody‐mediated rejection (Charpentier 2002).

How the intervention might work

Acute and chronic CNI nephrotoxicity appears in both kidney and non‐kidney transplantation (Naesens 2009), and it is mediated by different mechanisms. Vasoconstriction of the afferent arterioles has been shown with the use of CsA (Dieperink 1985; Murray 1985), and this effect contributes to an impairment of blood flow (Laskow 1990). Although TAC has a different chemical structure, its inhibition of the calcineurin pathway shows that its nephrotoxic properties are similar to those of CsA (Mihatsch 1998). This effect on renal vascular resistance and blood flow in the arterioles of a newly transplanted kidney graft contributes to an acute functional injury which is associated with pathologic contributors derived from the donor (ischaemic injury, inflammatory signalling) and the recipient (reperfusion injury, the innate immune response and the adaptive immune response) (Siedlecki 2011). Altogether, these factors lead to a more difficult tubular regeneration and, consequently, a progression to the clinical diagnosis of DGF.

These detrimental effects of initial CNI use have prompted many studies to investigate delayed initiation (Andres 2009; Lebranchu 2002; SENIOR 2009) or reduced initial CNI dose in the early post‐kidney transplant period (Kyllonen 2002). These comparisons have been made with different induction strategies (ATG or interleukin‐2 receptor antagonists).

Why it is important to do this review

This meta‐analysis will synthesise evidence from available studies of the benefits and harms of delayed introduction or reduced initial CNI dose on DGF and graft outcomes in kidney transplant recipients at risk of DGF. The results would be of value to clinicians, patients, and health policy‐makers regarding a possible strategy to reduce DGF and improve transplant outcomes.

Objectives

To evaluate the benefits and harms of delayed initiation of CNI or reduced CNI dose as initial immunosuppression therapy for kidney transplant recipients at high risk of DGF.

Methods

Criteria for considering studies for this review

Types of studies

We included randomised controlled trials (RCTs) and quasi‐RCTs (RCTs in which allocation to treatment was obtained by alternation, use of alternate medical records, date of birth or other predictable methods) that compared delayed versus early initiation of CNI, or low versus standard CNI initial dose.

Types of participants

Inclusion criteria

We included de novo kidney transplant recipients, regardless of age or gender, who received a transplant from a first or subsequent deceased donor, were treated with CNI as the primary immunosuppressive therapy, and were at high risk of DGF. High risk of DGF was defined by one or more of the following criteria.

  • CIT ≥ 18 hours

  • Donors after cardiac death

  • ECD: defined as either (1) > 50 years old with two of the following characteristics: a history of high blood pressure, SCr > 1.5 mg/dL, or death resulting from a stroke, or (2) ≥ 60 years old

  • Mean BMI ≥ 30 kg/m²

  • Long duration of pre‐transplant dialysis (≥ 2 years)

  • Increased SCr (donors with any degree of acute kidney injury).

Exclusion criteria

We excluded patients receiving multiorgan transplants (including simultaneous pancreas‐kidney transplants) or a living donor kidney transplant.

Types of interventions

  • Delayed CNI introduction (usually defined after day three post‐transplant or following evidence of improved graft function) versus early CNI initiation.

  • Reduced versus standard dose of CNIs (as defined by the authors).

Types of outcome measures

This review did not exclude studies based on non‐reporting of the outcomes of interest.

The outcomes selected include the relevant SONG core outcome sets as specified by the Standardised Outcomes in Nephrology initiative (SONG 2017).

Primary outcomes
  • DGF (as defined by the authors): incidence and duration (days).

  • Acute graft rejection, both clinical rejection and biopsy‐proven: incidence (primary time point of interest: years 1 and 2).

Secondary outcomes
  • Graft function measured as an absolute value or change in SCr (µmol/L), glomerular filtration rate (GFR), or creatinine clearance (CrCl), with measurements taken at days 3, 7, 14, 30, months 2, 3, 6, and years 1, 2, 3 and 5 (primary time point of interest: years 1 and 2)

  • Graft loss (censored and not censored for death): incidence and time to graft loss (months) (primary time point of interest: years 1 and 2)

  • Death: incidence of and time to death (any cause) and incidence of and time to cause‐specific death (months) (primary time point of interest: years 1 and 2)

  • Malignancy rates (at any time point)

  • Cardiovascular events (at any time point)

  • Incidence of infection: any cause, viral, bacterial, or fungal (at any time point)

  • Incidence of anaemia or leukopenia, as defined by the authors (at any time point).

Search methods for identification of studies

Electronic searches

The Cochrane Kidney and Transplant (CKT) Register of Studies was searched by the CKT Information Specialist using search terms relevant to this review up to 11 December 2024. The Register contains studies identified from the following sources.

  1. Cochrane Central Register of Controlled Trials (CENTRAL)

    • CENTRAL includes records from EMBASE, Clinicaltrials.gov and the International Clinical Trials Registry Platform (ICTRP) Search Portal.

  2. Weekly searches of MEDLINE OVID SP using CKT's scope.

  3. Handsearched records from kidney‐related journals up to 2021.

Studies contained in the Register are identified through search strategies for CENTRAL, MEDLINE, and EMBASE based on the scope of CKT. Details of these strategies, as well as a list of handsearched journals, conference proceedings and current awareness alerts, are available in the "Specialised Register" section of information about CKT (Cochrane Kidney and Transplant Register of Studies).

Additional search strategies have been designed by the Information Specialist for MEDLINE, EMBASE and CENTRAL Please see Appendix 1.

Searching other resources

  1. Reference lists of review articles, relevant studies and clinical practice guidelines

  2. Contacting relevant individuals/organisations seeking information about unpublished or incomplete studies

  3. Grey literature sources (e.g. abstracts, dissertations and theses), as well as those already included in the CKT Register of Studies.

Data collection and analysis

Selection of studies

Three authors (LO, SC, EM) independently screened titles and abstracts and discarded studies that were not applicable. The three authors then assessed the full text of the retained studies to determine if they satisfied the inclusion criteria. Disagreements were resolved in consultation with a fourth author (NM).

Data extraction and management

Data extraction was carried out independently by two authors (LO, NM) using standard data extraction forms. Disagreements were resolved in consultation with a third author (EM). Studies reported in non‐English language journals were translated before being assessed. If more than one publication of a study existed, reports were grouped, and the publication with the most complete data was used in the analyses. Where relevant outcomes were only published in earlier versions, these data were used.

Assessment of risk of bias in included studies

The following items were assessed independently by two authors (LO, NM) using the Cochrane risk of bias assessment tool 1 (Higgins 2024) (see Appendix 2).

  • Was there adequate sequence generation (selection bias)?

  • Was allocation adequately concealed (selection bias)?

  • Was knowledge of the allocated interventions adequately prevented during the study?

    • Participants and personnel (performance bias)

    • Outcome assessors (detection bias)

  • Were incomplete outcome data adequately addressed (attrition bias)?

  • Are reports of the study free of suggestion of selective outcome reporting (reporting bias)?

  • Was the study apparently free of other problems that could put it at risk of bias?

Measures of treatment effect

Studies were grouped and analysed according to the following comparisons.

  1. Delayed versus early initiation of CNI

  2. Low versus standard initial dose of CNI.

For dichotomous outcomes (e.g. acute rejection, DGF, graft loss, death), results were expressed as risk ratios (RR) with 95% confidence intervals (CI). For continuous outcomes, the mean difference (MD) or standardised mean difference (SMD) if different scales were used. For the time‐to‐death analysis, we aimed to include direct estimates of the log hazard ratio and its standard error and perform a generic inverse variance meta‐analysis. However, all the included studies reported death only as a dichotomous outcome. In the case of missing standard deviations, they were obtained from standard errors and CIs for group means (Higgins 2024); however, imputation techniques were avoided.

Unit of analysis issues

Multiple intervention group studies were analysed with different methods: (1) using only the groups with the intervention of interest to create a single pairwise comparison (e.g. if there were three groups including different induction therapies, only one induction therapy was included) and (2) each pairwise comparison was included separately, but with shared intervention groups divided evenly amongst the comparisons. In the case of dichotomous outcomes, both the number of events and the total number of patients were divided. For continuous outcomes, only the total number of participants was divided, and the means and SDs were left unchanged (Higgins 2024).

Dealing with missing data

Missing information or data required from the original author was requested by electronic correspondence and any relevant information obtained in this manner was included in the review.

Evaluation of important numerical data such as screened, randomised patients, as well as intention‐to‐treat, as‐treated, and per‐protocol population were carefully performed. Attrition rates, for example, drop‐outs, losses to follow‐up, and withdrawals were investigated. Issues of missing data and imputation methods (e.g. last‐observation‐carried‐forward) were critically appraised (Higgins 2024).

Assessment of heterogeneity

We first assessed the heterogeneity by visual inspection of the forest plot. We then quantified statistical heterogeneity using the I² statistic, which describes the percentage of total variation across studies that is due to heterogeneity rather than sampling error (Higgins 2003). A guide to the interpretation of I² values will be as follows.

  • 0% to 40%: might not be important

  • 30% to 60%: may represent moderate heterogeneity

  • 50% to 90%: may represent substantial heterogeneity

  • 75% to 100%: considerable heterogeneity.

The importance of the observed value of I² depends on the magnitude and direction of treatment effects and the strength of evidence for heterogeneity (e.g. P value from the Chi² test or a CI for I²) (Higgins 2024).

Assessment of reporting biases

We only investigated for publication bias using funnel plots if sufficient studies (10 studies) for each comparison were available (Higgins 2024).

Data synthesis

Data were summarised using the random‐effects model. The fixed‐effect model was also used to ensure the robustness of the model chosen.

Subgroup analysis and investigation of heterogeneity

Subgroup analysis by type of CNI (CsA or TAC) was performed to explore possible sources of heterogeneity, using the P value for subgroup differences provided by RevMan 2024. When evidence of subgroup differences was found, the results were summarised separately for each group in the results section.

Heterogeneity amongst participants could be related to age or sensitisation grade, considering all the definitions used by the authors (e.g. complement‐dependent cytotoxicity cross‐match assays, FlowPRA, Luminex, number of HLA mismatches, or first or retransplantation). Heterogeneity in treatments could be related to prior induction treatment used as well as the drug type (CsA or TAC), dose, and duration of therapy.

If a meta‐analysis of effect estimates was not possible, we planned to summarise effect estimates or combine P values.

Sensitivity analysis

Where possible, we performed sensitivity analyses to evaluate the effect on the overall result of removing studies with low methodological quality.

Summary of findings and assessment of the certainty of the evidence

The main results of the review are presented in the summary of findings (SoF) tables. These tables present key information concerning the certainty of the evidence, the magnitude of the effects of the interventions examined, and the sum of the available data for the main outcomes (Schunemann 2024a). The SoF tables also include an overall grading of the evidence related to each of the main outcomes using the Grades of Recommendation, Assessment, Development, and Evaluation (GRADE) approach (GRADE 2008; GRADE 2011). The GRADE approach defines the certainty of a body of evidence as the extent to which one can be confident that an estimate of effect or association is close to the true quantity of specific interest. This was assessed by two authors (LO, NM). The certainty of a body of evidence involves consideration of the within‐trial risk of bias (methodological quality), directness of the evidence, heterogeneity, the precision of effect estimates, and the risk of publication bias (Schunemann 2024b). We presented the following outcomes in the SoF tables at one year of follow‐up for the delayed versus early CNI, and up to two years of follow‐up for the low versus standard dose of CNI.

  • DGF incidence

  • Acute rejection (clinical)

  • Graft function

  • Graft loss censored for death

  • Death (all causes)

  • Incidence of infections (all).

Results

Description of studies

The following section contains brief descriptions of the studies considered in this review. For further details on each individual study, please see: Characteristics of included studies; Characteristics of excluded studies; Characteristics of ongoing studies.

Results of the search

After searching the CKT’s Specialised Register (up to December 2024), we identified 769 reports, with one additional record identified through handsearching. After removing duplicates, 92 studies (568 records) remained. After title and abstract screening, 44 studies were excluded (wrong population (19), wrong intervention (25)). Following full‐text assessment, a further 35 studies were excluded (wrong population (23), wrong intervention (12)). One study is still ongoing. Twelve studies were included in the qualitative and quantitative synthesis (Figure 1).

1.

1

Figure 1. Study flow diagram

Included studies

See Characteristics of included studies.

We included 12 studies (53 reports) randomising 2230 kidney transplant recipients at high risk of DGF. Eight studies compared delayed versus early initiation of CNI (three with CsA and five with TAC), and five studies compared low versus standard initial dose of CNI (three with CsA and two with TAC). One study (Andres 2009) included three interventions (early low versus early standard versus delayed standard), allowing for the two comparisons. OSAKA 2013 included a heterogeneous population of kidney transplant recipients, but one report (Albano 2020) separated results between standard‐criteria donors and ECDs. We included only data from ECDs in the meta‐analysis. All studies were performed in Europe. Around 60% of the participants were males, reflecting the expected proportion in the population on KRT in Europe.

In studies comparing delayed versus early initiation of CNI, the starting day in the delayed group was defined by the day after transplantation (ranging from three to 10 days) or when a certain value of SCr was obtained (from less than 250 µmol/L to less than 350 µmol/L). Donors were mostly DBD (except Wilson 2005 who were all DCD) but with CIT longer than 18 hours or older age. Follow‐up time was between six and 12 months, except for one study that was three months (Wilson 2005). Concomitant medication varied between studies. In two studies, recipients in both groups received the same concomitant immunosuppression (Andres 2009; Mourad 2005). The remaining 11 studies had important differences in induction regimens for each group (basiliximab (BSX) or daclizumab versus ATG, alemtuzumab versus ATG, no induction versus BSX/daclizumab). Moreover, SENIOR 2009 had early steroid discontinuation (day 8) in the delayed group and later discontinuation (day 91) in the early group, and Charpentier 2002 received TAC as monotherapy after ATG in the delayed group.

In studies comparing low versus standard CNI initial dose, the definition of low or standard dose varied amongst studies. In CsA, the low dose ranged from 75 to 175 ng/mL, and the standard dose from 150 to 300 ng/mL. In TAC, the low dose was expressed as 0.2 mg/kg/d or a concentration of 3 to 7 ng/mL, and the standard dose was 0.3 mg/kg/d or a concentration of 10 to 15 ng/mL. Donors were mostly DBD but with CIT longer than 18 hours. There were also differences in the concomitant medication. Kyllonen 2002 used induction (ATG or BSX) in the low CsA group, while there was no induction in the standard dose group. Hernandez 2007 used BSX with low CsA and ATG with standard CsA. Most studies used mycophenolate mofetil (MMF) or azathioprine as concomitant immunosuppression, except for Bechstein‐193 2013, which used sirolimus. Follow‐up time was between six months and five years.

Excluded studies

See Characteristics of excluded studies.

In total, we excluded 79 studies (514 records). We excluded 44 studies during the screening phase and 35 studies after assessing the remaining full‐text articles for eligibility. In total, 42 studies were excluded because kidney transplant recipients were not at high risk of DGF, and 37 due to wrong intervention, mainly because they either 1) compared avoidance of CNI to standard dose; or 2) the intervention (delayed or reduced CNI dose) was instigated several weeks or months after the kidney transplant.

Ongoing studies

See Characteristics of studies awaiting classification.

One ongoing study was identified that met our inclusion criteria but has not yet published any results (OPTIMIZE 2021).

Risk of bias in included studies

The risk of bias is summarised for all studies in Figure 2 and Figure 3.

2.

2

Figure 3. Review authors' judgements about each risk of bias item presented as percentages across all included studies.

3.

3

Figure 3. Risk of bias summary: review authors' judgements about each risk of bias item for each included study. Blank cells in the table indicate outcomes that were not measured in studies.

Allocation

Three studies were at low risk (Hernandez 2007; Kyllonen 2002; OSAKA 2013) and one at high risk (Wilson 2005) for sequence generation and allocation concealment. The remaining eight studies had insufficient information to judge adequate random sequence generation, allocation concealment, or both.

Blinding

All the included studies were open‐label.

Performance bias

For the DGF outcome, only studies that used a DGF definition based on creatinine were judged as low risk of bias. However, definitions based on the need for dialysis can be biased by lack of blinding. For acute rejection outcomes, eight studies were considered to be at high risk of bias because some acute rejection episodes were not biopsy‐proven. Only four were judged as low bias because they were diagnosed with a biopsy (Hernandez 2007; Kyllonen 2002; Noel 2009; OSAKA 2013).

For eGFR and death, all studies were judged as low risk of bias because they were unlikely to be biased despite the lack of blinding. However, for infections, anaemia, leukopenia, and graft loss, all studies were judged as unclear risk of bias because lack of blinding could have affected the reporting of the outcome.

Detection bias

For the DGF outcome, all studies were judged as low risk of bias, and for acute rejection outcome, eight studies (Andres 2009; Bechstein‐193 2013; Charpentier 2002; Lebranchu 2002; Mourad 2005; SENIOR 2009; Thomas 2007; Wilson 2005) were at high risk because acute rejection episodes were not all biopsy‐proven. For the remaining outcomes, all studies were judged as low risk because they were unlikely to be biased despite the lack of blinding.

Incomplete outcome data

One study was considered to be at high risk of attrition bias (Bechstein‐193 2013) and another as unclear risk of bias due to insufficient information to permit judgement (Mourad 2005). The remaining 10 studies were considered as low risk of attrition bias.

Selective reporting

Nine studies provided insufficient information to permit judgement and remain unclear for their potential for reporting bias. The remaining three were considered at low risk (Kyllonen 2002; Noel 2009; SENIOR 2009).

Other potential sources of bias

Four studies were industry‐funded and assessed as high risk of bias (Bechstein‐193 2013; Charpentier 2002; OSAKA 2013; Wilson 2005). Five studies had insufficient information to judge other potential sources of bias, and the remaining three were considered low risk (Hernandez 2007; Kyllonen 2002; Noel 2009).

Effects of interventions

See: Table 1; Table 2

All outcomes were assessed using GRADE as shown in the results below, but only the six most important outcomes (bold) are included in Table 1 and Table 2.

Delayed versus early initiation of calcineurin inhibitors

Primary outcomes

Up to one year post kidney transplant, delayed initiation of CNI compared with early initiation:

  • May make little or no difference to DGF (Analysis 1.1 (6 studies, 905 recipients): RR 0.92, 95% CI 0.76 to 1.12; I² = 18%) (low certainty evidence).

  • Probably makes little or no difference to DGF duration (Analysis 1.2 (3 studies, 405 recipients): MD ‐0.71 days, 95% CI ‐5.48 to 4.05; I² = 0%) (moderate certainty evidence).

  • May make little or no difference to all acute rejection (Analysis 1.3 (8 studies, 1295 recipients): RR 1.02, 95% CI 0.75 to 1.40; I² = 54%) (low certainty evidence). Early initiation of TAC may have a higher risk of biopsy‐proven acute rejection (Analysis 1.4, subgroup 1.4.2 (3 studies, 852 recipients): RR 0.68, 95% CI 0.48 to 0.97; I² = 37%) (low certainty evidence), while those differences were not detected in the CsA group. However, two of the studies in the TAC group had significant differences in induction therapy between the groups (Charpentier 2002; Noel 2009): early TAC was paired with induction with daclizumab or no induction, while delayed TAC was paired with ATG. The decreased frequency of acute rejection seen in the delayed TAC group could be affected by the type of induction therapy. The evidence is very uncertain about the effect of the intervention on acute rejection resistant to steroid treatment (Analysis 1.5 (6 studies, 1295 recipients): RR 0.82, 95% CI 0.38 to 1.78; I² = 51%) (very low certainty evidence).

1.1. Analysis.

1.1

Comparison 1: Delayed versus early calcineurin inhibitors (CNI), Outcome 1: Delayed graft function

1.2. Analysis.

1.2

Comparison 1: Delayed versus early calcineurin inhibitors (CNI), Outcome 2: Duration of delayed graft function [days]

1.3. Analysis.

1.3

Comparison 1: Delayed versus early calcineurin inhibitors (CNI), Outcome 3: Acute rejection (clinical) < 1 year

1.4. Analysis.

1.4

Comparison 1: Delayed versus early calcineurin inhibitors (CNI), Outcome 4: Acute rejection (biopsy proven) < 1 year

1.5. Analysis.

1.5

Comparison 1: Delayed versus early calcineurin inhibitors (CNI), Outcome 5: Acute rejection resistant to steroid treatment < 1 year

Secondary outcomes

Delayed initiation of CNI compared with early initiation:

  • Probably makes little or no difference to eGFR (Analysis 1.6 (6 studies, 851 recipients): MD ‐0.81 mL/min, 95% CI ‐3.33 to 1.72; I2 = 0%) (moderate certainty evidence).

  • May make little or no difference to graft loss censored for death (Analysis 1.7 (8 studies, 1295 recipients): RR 1.58, 95% CI 0.68 to 3.65; I² = 52%) (very low certainty evidence), death with functioning graft (Analysis 1.8 (3 studies, 674 recipients): RR 0.75, 95% CI 0.26 to 2.14; I² = 0%), graft loss due to acute rejection (Analysis 1.9 (3 studies, 674 recipients): RR 0.75, 95% CI 0.31 to 1.82; I² = 0%) or graft loss due to surgical reasons/primary non‐function (Analysis 1.10 (4 studies, 725 recipients): RR 1.51, 95% CI 0.62 to 3.67; I² = 0%), although the evidence is very uncertain (very low certainty evidence).

  • May make little or no difference to all‐cause death (Analysis 1.11 (8 studies, 907 recipients): RR 1.08, 95% CI 0.54 to 2.14; I² = 0%) (very low certainty evidence) or death due to infection (Analysis 1.12 (2 studies, 598 recipients): RR 0.53, 95% CI 0.03 to 9.76; I² = 58%), although the evidence is very uncertain (very low certainty evidence).

  • Probably makes little or no difference to all infections (Analysis 1.13 (6 studies, 1226 recipients): RR 1.10, 95% CI 0.97 to 1.25; I² = 53%) (moderate certainty evidence), bacterial infection (Analysis 1.14 (5 studies, 1125 recipients): RR 1.01, 95% CI 0.88 to 1.16; I² = 0%), fungal infection (Analysis 1.15 (3 studies, 674 recipients): RR 1.07, 95% CI 0.57 to 2.02; I² = 7%), or CMV infection (Analysis 1.16 (7 studies, 1262 recipients): RR 1.47, 95% CI 0.94 to 2.29; I² = 52%) (moderate certainty of evidence).

  • Probably makes little or no difference to the risk of anaemia (Analysis 1.17 (5 studies, 999 recipients): RR 1.17, 95% CI 0.85 to 1.61; I² = 45%) (moderate certainty evidence).

  • May be associated with an increased risk of leukopenia (Analysis 1.18 (5 studies, 894 recipients): RR 2.72, 95% CI 1.42 to 5.22; I² = 71%) (low certainty evidence). However, there are differences in concomitant medication between groups that could considerably affect the risk of leukopenia, such as CMV prophylaxis or treatment with valganciclovir, MMF, or ATG. Most studies used ATG in the delayed introduction of CNI group, while BSX/daclizumab was used in the standard introduction approach. A sensitivity analysis was performed to determine the cause of the high heterogeneity. Mourad 2005, with a weight of around 50% in the CsA subgroup, used BSX/daclizumab as induction in both treatment arms and showed no differences in leukopenia incidence. When excluding this study from the analysis, the heterogeneity dropped to 0%.

1.6. Analysis.

1.6

Comparison 1: Delayed versus early calcineurin inhibitors (CNI), Outcome 6: eGFR < 1 year [mL/min]

1.7. Analysis.

1.7

Comparison 1: Delayed versus early calcineurin inhibitors (CNI), Outcome 7: Graft loss censored for death < 1 year

1.8. Analysis.

1.8

Comparison 1: Delayed versus early calcineurin inhibitors (CNI), Outcome 8: Graft loss: death with a functioning graft < 1 year

1.9. Analysis.

1.9

Comparison 1: Delayed versus early calcineurin inhibitors (CNI), Outcome 9: Graft loss: acute rejection < 1 year

1.10. Analysis.

1.10

Comparison 1: Delayed versus early calcineurin inhibitors (CNI), Outcome 10: Graft loss: technical/surgical/primary non‐function < 1 year

1.11. Analysis.

1.11

Comparison 1: Delayed versus early calcineurin inhibitors (CNI), Outcome 11: Death (all causes)

1.12. Analysis.

1.12

Comparison 1: Delayed versus early calcineurin inhibitors (CNI), Outcome 12: Death due to infection

1.13. Analysis.

1.13

Comparison 1: Delayed versus early calcineurin inhibitors (CNI), Outcome 13: Infection (all)

1.14. Analysis.

1.14

Comparison 1: Delayed versus early calcineurin inhibitors (CNI), Outcome 14: Infection: bacterial

1.15. Analysis.

1.15

Comparison 1: Delayed versus early calcineurin inhibitors (CNI), Outcome 15: Infection: fungal

1.16. Analysis.

1.16

Comparison 1: Delayed versus early calcineurin inhibitors (CNI), Outcome 16: Infection: CMV (all definitions)

1.17. Analysis.

1.17

Comparison 1: Delayed versus early calcineurin inhibitors (CNI), Outcome 17: Anaemia

1.18. Analysis.

1.18

Comparison 1: Delayed versus early calcineurin inhibitors (CNI), Outcome 18: Leukopenia

None of the included studies reported malignancy or cardiovascular outcomes.

Low versus standard initial dose of calcineurin inhibitors

Primary outcomes

Up to two years post kidney transplant, initial low dose CNI compared with standard dose CNI:

  • May make little or no difference to DGF (Analysis 2.1 (5 studies, 983 recipients): RR 1.16, 95% CI 0.90 to 1.50; I² = 9%) (low certainty evidence). The duration of DGF was not reported by any study.

  • May make little or no difference to clinical acute rejection (Analysis 2.2 (5 studies, 947 recipients): RR 0.83, 95% CI 0.52 to 1.30; I² = 9%) (low certainty evidence), biopsy‐proven acute rejection (Analysis 2.3 (5 studies, 947 recipients): RR 0.83, 95% CI 0.53 to 1.31; I² = 40%) or acute rejection resistant to steroid treatment (Analysis 2.4 (3 studies, 393 recipients): RR 1.32, 95% CI 0.44 to 3.97; I² = 0%) (low certainty evidence).

2.1. Analysis.

2.1

Comparison 2: Low versus standard dose calcineurin inhibitors (CNI), Outcome 1: Delayed graft function

2.2. Analysis.

2.2

Comparison 2: Low versus standard dose calcineurin inhibitors (CNI), Outcome 2: Acute rejection (clinical) < 2 years

2.3. Analysis.

2.3

Comparison 2: Low versus standard dose calcineurin inhibitors (CNI), Outcome 3: Acute rejection (biopsy proven) < 2 years

2.4. Analysis.

2.4

Comparison 2: Low versus standard dose calcineurin inhibitors (CNI), Outcome 4: Acute rejection resistant to steroid treatment < 2 years (CsA)

Secondary outcomes

Initial low‐dose CNI compared with standard‐dose CNI:

  • May make little or no difference to eGFR (Analysis 2.5 (5 studies, 935 recipients): MD 4.06 mL/min, 95% CI ‐1.36 to 9.48; I² = 81%) (low certainty evidence).

  • May make little or no difference to graft loss censored for death (Analysis 2.6 (5 studies, 983 recipients): RR 1.05, 95% CI 0.64 to 1.71; I² = 0%) (very low certainty evidence), graft loss not censored for death (Analysis 2.7 (2 studies, 238 recipients): RR 1.74, 95% CI 0.47 to 6.47; I² = 0%), graft loss due to acute rejection (Analysis 2.8 (2 studies, 238 recipients): RR 0.68, 95% CI 0.13 to 3.56; I² = 15%) or graft loss due to surgical reasons/primary non‐function (Analysis 2.9 (3 studies, 393 recipients): RR 1.05, 95% CI 0.27 to 4.04; I² = 3%), although the evidence is very uncertain (very low certainty evidence).

  • May make little or no difference to all‐cause death (Analysis 2.10 (4 studies, 521 recipients): RR 1.01, 95% CI 0.41 to 2.47; I² = 5%) (low certainty evidence), death due to cardiovascular cause (Analysis 2.11 (2 studies, 315 recipients): RR 0.40, 95% CI 0.07 to 2.39; I² = 0%), death due to infection (Analysis 2.12 (2 studies, 315 recipients): RR 1.67, 95% CI 0.25 to 11.22; I² = 0%) (low certainty evidence), or death due to malignancy (Analysis 2.13 (2 studies, 315 recipients): RR 0.88, 95% CI 0.14 to 5.29; I² = 0%).

  • Probably makes little or no difference to all infections (Analysis 2.14 (4 studies, 828 recipients): RR 0.87, 95% CI 0.71 to 1.07; I² = 62%) (moderate certainty evidence).

  • Low‐dose TAC probably reduces bacterial infection risk (Analysis 2.15.2 (2 studies, 590 recipients): RR 0.73, 95% CI 0.56 to 0.94; I² = 0%) (moderate certainty evidence). However, those differences were not detected when the CNI was CsA.

  • Low‐dose CNI may make little or no difference to fungal infection (Analysis 2.16 (2 studies, 206 recipients): RR 0.52, 95% CI 0.13 to 2.02; I² = 0%) (low certainty evidence). Probably makes little or no difference to CMV infection (Analysis 2.17 (5 studies, 983 recipients): RR 0.76, 95% CI 0.51 to 1.12; I² = 29%) (moderate certainty evidence).

  • Probably makes little or no difference to anaemia (Analysis 2.18 (3 studies, 668 recipients): RR 1.04, 95% CI 0.84 to 1.28; I² = 0%) (moderate certainty evidence).

  • It is uncertain whether low‐dose CNI has an effect on leukopenia (Analysis 2.19 (2 studies, 206 recipients): RR 1.11, 95% CI 0.57 to 2.19; I² = 0%) because the evidence is very uncertain.

2.5. Analysis.

2.5

Comparison 2: Low versus standard dose calcineurin inhibitors (CNI), Outcome 5: eGFR < 2 years [mL/min]

2.6. Analysis.

2.6

Comparison 2: Low versus standard dose calcineurin inhibitors (CNI), Outcome 6: Graft loss censored for death < 2 years

2.7. Analysis.

2.7

Comparison 2: Low versus standard dose calcineurin inhibitors (CNI), Outcome 7: Graft loss: death with functioning graft < 2 years (CsA)

2.8. Analysis.

2.8

Comparison 2: Low versus standard dose calcineurin inhibitors (CNI), Outcome 8: Graft loss: acute rejection < 2 years (CsA)

2.9. Analysis.

2.9

Comparison 2: Low versus standard dose calcineurin inhibitors (CNI), Outcome 9: Graft loss: technical/surgical/primary non‐function < 2 years (CsA)

2.10. Analysis.

2.10

Comparison 2: Low versus standard dose calcineurin inhibitors (CNI), Outcome 10: Death (all causes) < 2 years

2.11. Analysis.

2.11

Comparison 2: Low versus standard dose calcineurin inhibitors (CNI), Outcome 11: Death due to cardiovascular cause < 2 years (CsA)

2.12. Analysis.

2.12

Comparison 2: Low versus standard dose calcineurin inhibitors (CNI), Outcome 12: Death due to infection < 2 years (CsA)

2.13. Analysis.

2.13

Comparison 2: Low versus standard dose calcineurin inhibitors (CNI), Outcome 13: Death due to malignancy < 2 years (CsA)

2.14. Analysis.

2.14

Comparison 2: Low versus standard dose calcineurin inhibitors (CNI), Outcome 14: Infection (all)

2.15. Analysis.

2.15

Comparison 2: Low versus standard dose calcineurin inhibitors (CNI), Outcome 15: Infection: bacterial

2.16. Analysis.

2.16

Comparison 2: Low versus standard dose calcineurin inhibitors (CNI), Outcome 16: Infection: fungal

2.17. Analysis.

2.17

Comparison 2: Low versus standard dose calcineurin inhibitors (CNI), Outcome 17: Infection: CMV (all definitions)

2.18. Analysis.

2.18

Comparison 2: Low versus standard dose calcineurin inhibitors (CNI), Outcome 18: Anaemia

2.19. Analysis.

2.19

Comparison 2: Low versus standard dose calcineurin inhibitors (CNI), Outcome 19: Leukopenia

Discussion

Summary of main results

The results of this meta‐analysis show that delayed initiation or lower CNI initial dose in de novo kidney transplant recipients at high risk of DGF may make little or no difference to the risk of DGF or acute rejection incidence. There may be little or no difference to graft function, graft loss, death or infection in any of the evaluated strategies.

Subgroup analysis by CNI type showed no differences in most outcomes except for biopsy‐proven acute rejection and bacterial infections. Firstly, delayed TAC may have a lower risk of biopsy‐proven acute rejection (but not delayed CsA). However, in two of the three studies in this comparison, those who received delayed TAC were treated with ATG, while those who received early TAC were treated with daclizumab or no induction. The decreased frequency of acute rejection seen in the delayed TAC group is probably related to the type of induction therapy used. Secondly, there is probably a lower risk of bacterial infections in recipients treated with low doses of TAC. Both studies included in this intervention had similar concomitant immunosuppression. However, the results are mainly driven by OSAKA 2013 (around 70% of the weight).

Overall completeness and applicability of evidence

Most studies did not follow up beyond the first year, limiting the possibility of assessing long‐term death or graft loss. Outcomes such as infections, anaemia or leukopenia were underreported compared to other outcomes such as DGF or acute rejection. Also, none of the included studies reported pretransplant or new donor‐specific antibodies, which could impact graft survival. The included studies may not have been powered enough to detect differences in DGF risk, as DGF was not the primary outcome for most of them, and the definition of high risk of DGF also varied among the studies.

All studies were performed in Europe. Around 60% of the participants were males, reflecting the expected proportion in the population on KRT in Europe.

There are several factors that limit the applicability of the evidence to our current practice. Most studies included in this meta‐analysis are from the 2000s, when the use of CsA was more common than TAC, most deceased donors were DBD, with higher CNI therapy levels, differences in induction therapy and generally less expanded criteria donors.

Quality of the evidence

The overall quality of the evidence of the included studies was low, ranging from moderate to very low. Factors downgraded on GRADE were primarily a severe risk of bias and inconsistency. Over 50% of the included studies did not adequately report the random sequence generation or the allocation concealment, and all studies were unblinded. Most studies had unclear reporting bias and were judged as unclear or high risk of other biases because they were industry‐funded. Due to few events and wide CIs, several outcomes were downgraded for imprecision.

Potential biases in the review process

There are some limitations in this review. One potential source of bias is that there were differences between studies when defining low or standard dose: some studies used CNI concentration while others used weight‐based dosing. Our review classified low or standard doses based on each author's definition, which may introduce bias. Due to the low number of included studies, the effect of different concomitant immunosuppression therapies could not be evaluated. Also, the definition of DGF varied among studies. In unblinded studies, creatinine‐based definitions for DGF can be a source of risk of bias.

Although there are some limitations, there are also several strengths. There is a pre‐published peer‐reviewed protocol. A comprehensive literature search was performed of the CKT Specialised Register by the CKT Information Specialist, reducing the probability of omitting published studies. Finally, at least two authors independently participated in study selection, data extraction, analysis, and assessment of the risk of bias and certainty, thus enhancing the accuracy of the data collected during the entire review process.

Agreements and disagreements with other studies or reviews

Several reviews have evaluated different CNI‐sparing regimens. However, they did not limit the population to people with a high risk of DGF and did not analyse separately by type of CNI (CsA versus TAC).

Moore 2009 studied different CNI‐sparing regimens, including de novo CNI minimisation, but did not restrict the population to those at high risk of DGF. The results on graft loss, death, and biopsy‐proven acute rejection were similar to our review, showing no differences between low or standard CNI dose. However, they detected a slightly better graft function in the low CNI dose.

Sharif 2011 also studied different strategies to reduce CNI exposure, including delayed introduction of CNI and minimisation of CNI dose as our review, although not limiting the population to high risk of DGF. They reported similar results on death, graft failure, and biopsy‐proven acute rejection. Similar to Moore 2009, a slightly higher graft function was detected in the low TAC group as well as the delayed TAC group.

Karpe 2017 compared different CNI‐sparing regiments, with and without mammalian target of rapamycin inhibitors, including low versus standard CNI. Similar to the other previous reviews, they did not limit the population to a high risk of DGF. Their conclusions on graft loss, acute rejection, death, and CMV infection are similar to ours, but they also reported a slightly higher eGFR in the low CNI dose group.

Authors' conclusions

Implications for practice.

Delayed or reduced CNI dose initiation has been proposed as a strategy to improve DGF in recipients at high risk of DGF. Current evidence suggests that these strategies may have little or no impact on DGF or the risk of acute rejection. However, the use of reduced TAC instead of the standard dose in de‐novo KT probably reduced the risk of bacterial infections.

The medium to long‐term effect of these strategies remains unknown. Evidence from registry data or cohort studies could be integrated into our current understanding of benefits and harms when informing clinical decision‐making.

Implications for research.

Immunosuppression treatments have undergone changes in dosage and drug types over time. Therefore, it is important to conduct studies that represent current clinical practice to assess the impact of the type of immunosuppression on the risk of DGF. Additionally, the demographics of kidney transplant recipients are also changing, with a growing need for well‐conducted studies on optimal immunosuppression for elderly recipients at high risk of DGF.

History

Protocol first published: Issue 11, 2022

Acknowledgements

The Methods section of this review is based on a standard template used by Cochrane Kidney and Transplant.

Editorial and peer‐reviewer contributions

Cochrane Kidney and Transplant supported the authors in the development of this review update.

The following people conducted the editorial process for this article:

  • Sign‐off Editor (final editorial decision): Giovanni FM Strippoli, Department of Precision and Regenerative Medicine and Ionian Area (DIMEPRE‐J), University of Bari, Italy; School of Public Health, University of Sydney, Australia;

  • Managing Editor (selected peer reviewers, provided editorial guidance to authors, edited the article): Leanne Jones, Cochrane Central Editorial Service;

  • Editorial Assistant (conducted editorial policy checks, collated peer‐reviewer comments and supported editorial team): Addie‐Ann Smyth, Cochrane Central Editorial Service;

  • Copy Editor (copy editing and production): Narelle Willis, Cochrane Central Production Service

  • Peer‐reviewers (provided comments and recommended an editorial decision): Bilgin Osmanodja, Charité ‐ Universitätsmedizin Berlin (clinical/content review), Dr Krishna Karpe, Nephrologist, Canberra Hospital (clinical/content review), Nuala Livingstone, Cochrane Evidence Production and Methods Directorate (methods review), Jo Platt, Central Editorial Information Specialist (search review).

Appendices

Appendix 1. Electronic search strategies

Database Search terms
CENTRAL
  1. (calcineurin next (inhibit* or block*)):ti,ab,kw

  2. CNI.tw.

  3. (tacrolimus or TAC):ti,ab,kw

  4. prograf*:ti,ab,kw

  5. (fk506 or "fk 506"):ti,ab,kw

  6. cyclosporin*:ti,ab,kw

  7. ciclosporin:ti,ab,kw

  8. neoral:ti,ab,kw

  9. sandimmun:ti,ab,kw

  10. CSA:ti,ab,kw

  11. {or #1‐#10}

  12. ((kidney or renal) next (transplant* or graft* or allograft*)):ti,ab,kw

  13. #11 and #12

  14. (delay* or reduce* or reduction):ti,ab,kw

  15. (cadaveric or deceased or high‐risk):ti,ab,kw

  16. ((donor* near/2 brain death) or (donat* near/2 brain death)):ti,ab

  17. ((donor* near/2 circulatory death) or (donat* near/2 circulatory death)):ti,ab

  18. ((donor* near/2 cardiac death) or (donat* near/2 cardiac death)):ti,ab

  19. ("extended criteria" near/2 (donor* or donat* or cadaveric or deceased)):ti,ab

  20. {or #14‐#19}

  21. #13 and #20 in Trials

MEDLINE
  1. exp Calcineurin Inhibitors/

  2. (calcineurin adj (inhibit* or block*)).tw.

  3. CNI.tw.

  4. (tacrolimus or TAC).tw.

  5. prograf*.tw.

  6. fk 506.tw.

  7. fk506.tw.

  8. cyclosporin*.tw.

  9. ciclosporin.tw.

  10. neoral.tw.

  11. sandimmun*.tw.

  12. CSA.tw.

  13. or/1‐12

  14. Kidney Transplantation/

  15. ((kidney or renal) adj (transplant* or graft* or allograft*)).tw.

  16. or/14‐15

  17. and/13,16

  18. (delay* or reduce* or reduction).tw.

  19. (cadaveric or deceased or high‐risk).tw.

  20. ((donor* adj2 brain death) or (donat* adj2 brain death)).tw.

  21. ((donor* adj2 circulatory death) or (donat* adj2 circulatory death)).tw.

  22. ((donor* adj2 cardiac death) or (donat* adj2 cardiac death)).tw.

  23. (extended criteria adj2 (donor* or donat* or cadaveric or deceased)).tw.

  24. or/18‐23

  25. and/17,24


MEDLINE search terms have been combined with the Cochrane highly sensitive search terms for RCTS (Cochrane Handbook Chapter 4).
EMBASE
  1. exp calcineurin inhibitor/

  2. (calcineurin adj (inhibit* or block*)).tw.

  3. CNI.tw.

  4. (tacrolimus or TAC).tw.

  5. prograf*.tw.

  6. fk 506.tw.

  7. fk506.tw.

  8. cyclosporin*.tw.

  9. ciclosporin.tw.

  10. neoral.tw.

  11. sandimmun*.tw.

  12. CSA.tw.

  13. or/1‐12

  14. exp kidney transplantation/

  15. ((kidney or renal) adj (transplant* or graft* or allograft*)).tw.

  16. or/14‐15

  17. and/13,16

  18. (delay* or reduce* or reduction).tw.

  19. (cadaveric or deceased or high‐risk).tw.

  20. ((donor* adj2 brain death) or (donat* adj2 brain death)).tw.

  21. ((donor* adj2 circulatory death) or (donat* adj2 circulatory death)).tw.

  22. ((donor* adj2 cardiac death) or (donat* adj2 cardiac death)).tw.

  23. (extended criteria adj2 (donor* or donat* or cadaveric or deceased)).tw.

  24. or/18‐23

  25. and/17,24


EMBASE search terms have been combined with the Cochrane highly sensitive search terms for RCTS (Cochrane Handbook Chapter 4)

Appendix 2. Risk of bias assessment tool

Potential source of bias Assessment criteria
Random sequence generation
Selection bias (biased allocation to interventions) due to inadequate generation of a randomised sequence
Low risk of bias: Random number table; computer random number generator; coin tossing; shuffling cards or envelopes; throwing dice; drawing of lots; minimisation (minimisation may be implemented without a random element, and this is considered to be equivalent to being random).
High risk of bias: Sequence generated by odd or even date of birth; date (or day) of admission; sequence generated by hospital or clinic record number; allocation by judgement of the clinician; by preference of the participant; based on the results of a laboratory test or a series of tests; by availability of the intervention.
Unclear: Insufficient information about the sequence generation process to permit judgement.
Allocation concealment
Selection bias (biased allocation to interventions) due to inadequate concealment of allocations prior to assignment
Low risk of bias: Randomisation method described that would not allow investigator/participant to know or influence intervention group before eligible participant entered in the study (e.g. central allocation, including telephone, web‐based, and pharmacy‐controlled, randomisation; sequentially numbered drug containers of identical appearance; sequentially numbered, opaque, sealed envelopes).
High risk of bias: Using an open random allocation schedule (e.g. a list of random numbers); assignment envelopes were used without appropriate safeguards (e.g. if envelopes were unsealed or non‐opaque or not sequentially numbered); alternation or rotation; date of birth; case record number; any other explicitly unconcealed procedure.
Unclear: Randomisation stated but no information on method used is available.
Blinding of participants and personnel
Performance bias due to knowledge of the allocated interventions by participants and personnel during the study
Low risk of bias: No blinding or incomplete blinding, but the review authors judge that the outcome is not likely to be influenced by lack of blinding; blinding of participants and key study personnel ensured, and unlikely that the blinding could have been broken.
High risk of bias: No blinding or incomplete blinding, and the outcome is likely to be influenced by lack of blinding; blinding of key study participants and personnel attempted, but likely that the blinding could have been broken, and the outcome is likely to be influenced by lack of blinding.
Unclear: Insufficient information to permit judgement
Blinding of outcome assessment
Detection bias due to knowledge of the allocated interventions by outcome assessors.
Low risk of bias: No blinding of outcome assessment, but the review authors judge that the outcome measurement is not likely to be influenced by lack of blinding; blinding of outcome assessment ensured, and unlikely that the blinding could have been broken.
High risk of bias: No blinding of outcome assessment, and the outcome measurement is likely to be influenced by lack of blinding; blinding of outcome assessment, but likely that the blinding could have been broken, and the outcome measurement is likely to be influenced by lack of blinding.
Unclear: Insufficient information to permit judgement
Incomplete outcome data
Attrition bias due to amount, nature or handling of incomplete outcome data.
Low risk of bias: No missing outcome data; reasons for missing outcome data unlikely to be related to true outcome (for survival data, censoring unlikely to be introducing bias); missing outcome data balanced in numbers across intervention groups, with similar reasons for missing data across groups; for dichotomous outcome data, the proportion of missing outcomes compared with observed event risk not enough to have a clinically relevant impact on the intervention effect estimate; for continuous outcome data, plausible effect size (difference in means or standardised difference in means) among missing outcomes not enough to have a clinically relevant impact on observed effect size; missing data have been imputed using appropriate methods.
High risk of bias: Reason for missing outcome data likely to be related to true outcome, with either imbalance in numbers or reasons for missing data across intervention groups; for dichotomous outcome data, the proportion of missing outcomes compared with observed event risk enough to induce clinically relevant bias in intervention effect estimate; for continuous outcome data, plausible effect size (difference in means or standardized difference in means) among missing outcomes enough to induce clinically relevant bias in observed effect size; ‘as‐treated’ analysis done with substantial departure of the intervention received from that assigned at randomisation; potentially inappropriate application of simple imputation.
Unclear: Insufficient information to permit judgement
Selective reporting
Reporting bias due to selective outcome reporting
Low risk of bias: The study protocol is available and all of the study’s pre‐specified (primary and secondary) outcomes that are of interest in the review have been reported in the pre‐specified way; the study protocol is not available but it is clear that the published reports include all expected outcomes, including those that were pre‐specified (convincing text of this nature may be uncommon).
High risk of bias: Not all of the study’s pre‐specified primary outcomes have been reported; one or more primary outcomes is reported using measurements, analysis methods or subsets of the data (e.g. sub‐scales) that were not pre‐specified; one or more reported primary outcomes were not pre‐specified (unless clear justification for their reporting is provided, such as an unexpected adverse effect); one or more outcomes of interest in the review are reported incompletely so that they cannot be entered in a meta‐analysis; the study report fails to include results for a key outcome that would be expected to have been reported for such a study.
Unclear: Insufficient information to permit judgement
Other bias
Bias due to problems not covered elsewhere in the table
Low risk of bias: The study appears to be free of other sources of bias.
High risk of bias: Had a potential source of bias related to the specific study design used; stopped early due to some data‐dependent process (including a formal‐stopping rule); had extreme baseline imbalance; has been claimed to have been fraudulent; had some other problem.
Unclear: Insufficient information to assess whether an important risk of bias exists; insufficient rationale or evidence that an identified problem will introduce bias.

Data and analyses

Comparison 1. Delayed versus early calcineurin inhibitors (CNI).

Outcome or subgroup title No. of studies No. of participants Statistical method Effect size
1.1 Delayed graft function 6 905 Risk Ratio (M‐H, Random, 95% CI) 0.92 [0.76, 1.12]
1.1.1 CsA 3 373 Risk Ratio (M‐H, Random, 95% CI) 1.00 [0.72, 1.40]
1.1.2 TAC 3 532 Risk Ratio (M‐H, Random, 95% CI) 0.90 [0.65, 1.24]
1.2 Duration of delayed graft function [days] 3 405 Mean Difference (IV, Random, 95% CI) ‐0.71 [‐5.48, 4.05]
1.2.1 CsA 1 100 Mean Difference (IV, Random, 95% CI) 1.40 [‐6.27, 9.07]
1.2.2 TAC 2 305 Mean Difference (IV, Random, 95% CI) ‐2.04 [‐8.11, 4.04]
1.3 Acute rejection (clinical) < 1 year 8 1295 Risk Ratio (M‐H, Random, 95% CI) 1.02 [0.75, 1.40]
1.3.1 CsA 3 373 Risk Ratio (M‐H, Random, 95% CI) 1.47 [0.97, 2.21]
1.3.2 TAC 5 922 Risk Ratio (M‐H, Random, 95% CI) 0.88 [0.60, 1.29]
1.4 Acute rejection (biopsy proven) < 1 year 6 1225 Risk Ratio (M‐H, Random, 95% CI) 0.86 [0.58, 1.27]
1.4.1 CsA 3 373 Risk Ratio (M‐H, Random, 95% CI) 1.42 [0.88, 2.31]
1.4.2 TAC 3 852 Risk Ratio (M‐H, Random, 95% CI) 0.68 [0.48, 0.97]
1.5 Acute rejection resistant to steroid treatment < 1 year 6 1225 Risk Ratio (M‐H, Random, 95% CI) 0.82 [0.38, 1.78]
1.5.1 CsA 3 373 Risk Ratio (M‐H, Random, 95% CI) 2.06 [0.76, 5.60]
1.5.2 TAC 3 852 Risk Ratio (M‐H, Random, 95% CI) 0.54 [0.21, 1.39]
1.6 eGFR < 1 year [mL/min] 6 851 Mean Difference (IV, Random, 95% CI) ‐0.81 [‐3.33, 1.72]
1.6.1 CsA 3 365 Mean Difference (IV, Random, 95% CI) ‐1.06 [‐6.42, 4.30]
1.6.2 TAC 3 486 Mean Difference (IV, Random, 95% CI) ‐0.73 [‐3.91, 2.45]
1.7 Graft loss censored for death < 1 year 8 1295 Risk Ratio (M‐H, Random, 95% CI) 1.58 [0.68, 3.65]
1.7.1 CsA 3 373 Risk Ratio (M‐H, Random, 95% CI) 2.75 [0.37, 20.16]
1.7.2 TAC 5 922 Risk Ratio (M‐H, Random, 95% CI) 1.39 [0.55, 3.56]
1.8 Graft loss: death with a functioning graft < 1 year 3 674 Risk Ratio (M‐H, Random, 95% CI) 0.75 [0.26, 2.14]
1.8.1 CsA 1 76 Risk Ratio (M‐H, Random, 95% CI) Not estimable
1.8.2 TAC 2 598 Risk Ratio (M‐H, Random, 95% CI) 0.75 [0.26, 2.14]
1.9 Graft loss: acute rejection < 1 year 3 674 Risk Ratio (M‐H, Random, 95% CI) 0.75 [0.31, 1.82]
1.9.1 CsA 1 76 Risk Ratio (M‐H, Random, 95% CI) 0.89 [0.26, 3.06]
1.9.2 TAC 2 598 Risk Ratio (M‐H, Random, 95% CI) 0.62 [0.16, 2.31]
1.10 Graft loss: technical/surgical/primary non‐function < 1 year 4 725 Risk Ratio (M‐H, Random, 95% CI) 1.51 [0.62, 3.67]
1.10.1 CsA 1 76 Risk Ratio (M‐H, Random, 95% CI) 9.97 [0.56, 179.04]
1.10.2 TAC 3 649 Risk Ratio (M‐H, Random, 95% CI) 1.24 [0.49, 3.15]
1.11 Death (all causes) 8 1280 Risk Ratio (M‐H, Random, 95% CI) 1.08 [0.54, 2.14]
1.11.1 CsA 3 373 Risk Ratio (M‐H, Random, 95% CI) 0.52 [0.14, 1.93]
1.11.2 TAC 5 907 Risk Ratio (M‐H, Random, 95% CI) 1.42 [0.63, 3.19]
1.12 Death due to infection 2 598 Risk Ratio (M‐H, Random, 95% CI) 0.53 [0.03, 9.76]
1.12.1 TAC 2 598 Risk Ratio (M‐H, Random, 95% CI) 0.53 [0.03, 9.76]
1.13 Infection (all) 6 1226 Risk Ratio (M‐H, Random, 95% CI) 1.10 [0.97, 1.25]
1.13.1 CsA 3 374 Risk Ratio (M‐H, Random, 95% CI) 1.06 [0.77, 1.47]
1.13.2 TAC 3 852 Risk Ratio (M‐H, Random, 95% CI) 1.13 [1.01, 1.25]
1.14 Infection: bacterial 5 1125 Risk Ratio (M‐H, Random, 95% CI) 1.01 [0.88, 1.16]
1.14.1 CsA 2 273 Risk Ratio (M‐H, Random, 95% CI) 0.85 [0.65, 1.11]
1.14.2 TAC 3 852 Risk Ratio (M‐H, Random, 95% CI) 1.07 [0.91, 1.26]
1.15 Infection: fungal 3 674 Risk Ratio (M‐H, Random, 95% CI) 1.07 [0.57, 2.02]
1.15.1 CsA 1 76 Risk Ratio (M‐H, Random, 95% CI) 2.78 [0.57, 13.44]
1.15.2 TAC 2 598 Risk Ratio (M‐H, Random, 95% CI) 0.89 [0.46, 1.72]
1.16 Infection: CMV (all definitions) 7 1262 Risk Ratio (M‐H, Random, 95% CI) 1.47 [0.94, 2.29]
1.16.1 CsA 3 374 Risk Ratio (M‐H, Random, 95% CI) 1.24 [0.36, 4.24]
1.16.2 TAC 4 888 Risk Ratio (M‐H, Random, 95% CI) 1.62 [1.17, 2.24]
1.17 Anaemia 5 999 Risk Ratio (M‐H, Random, 95% CI) 1.17 [0.85, 1.61]
1.17.1 CsA 3 374 Risk Ratio (M‐H, Random, 95% CI) 1.03 [0.56, 1.88]
1.17.2 TAC 2 625 Risk Ratio (M‐H, Random, 95% CI) 1.33 [1.01, 1.75]
1.18 Leukopenia 5 999 Risk Ratio (M‐H, Random, 95% CI) 2.72 [1.42, 5.22]
1.18.1 CsA 3 374 Risk Ratio (M‐H, Random, 95% CI) 1.94 [0.75, 5.03]
1.18.2 TAC 2 625 Risk Ratio (M‐H, Random, 95% CI) 3.93 [2.64, 5.86]

Comparison 2. Low versus standard dose calcineurin inhibitors (CNI).

Outcome or subgroup title No. of studies No. of participants Statistical method Effect size
2.1 Delayed graft function 5 983 Risk Ratio (M‐H, Random, 95% CI) 1.16 [0.90, 1.50]
2.1.1 CsA 3 393 Risk Ratio (M‐H, Random, 95% CI) 1.03 [0.73, 1.44]
2.1.2 TAC 2 590 Risk Ratio (M‐H, Random, 95% CI) 1.31 [0.75, 2.29]
2.2 Acute rejection (clinical) < 2 years 5 947 Risk Ratio (M‐H, Random, 95% CI) 0.83 [0.52, 1.30]
2.2.1 CsA 3 393 Risk Ratio (M‐H, Random, 95% CI) 0.67 [0.40, 1.12]
2.2.2 TAC 2 554 Risk Ratio (M‐H, Random, 95% CI) 1.13 [0.41, 3.13]
2.3 Acute rejection (biopsy proven) < 2 years 5 947 Risk Ratio (M‐H, Random, 95% CI) 0.83 [0.53, 1.31]
2.3.1 CsA 3 393 Risk Ratio (M‐H, Random, 95% CI) 0.69 [0.41, 1.15]
2.3.2 TAC 2 554 Risk Ratio (M‐H, Random, 95% CI) 1.20 [0.37, 3.94]
2.4 Acute rejection resistant to steroid treatment < 2 years (CsA) 3 393 Risk Ratio (M‐H, Random, 95% CI) 1.32 [0.44, 3.97]
2.5 eGFR < 2 years [mL/min] 5 935 Mean Difference (IV, Random, 95% CI) 4.06 [‐1.36, 9.48]
2.5.1 CsA 3 383 Mean Difference (IV, Random, 95% CI) 1.50 [‐5.49, 8.48]
2.5.2 TAC 2 552 Mean Difference (IV, Random, 95% CI) 8.48 [‐4.63, 21.58]
2.6 Graft loss censored for death < 2 years 5 983 Risk Ratio (M‐H, Random, 95% CI) 1.05 [0.64, 1.71]
2.6.1 CsA 3 393 Risk Ratio (M‐H, Random, 95% CI) 1.01 [0.38, 2.66]
2.6.2 TAC 2 590 Risk Ratio (M‐H, Random, 95% CI) 1.36 [0.40, 4.64]
2.7 Graft loss: death with functioning graft < 2 years (CsA) 2 238 Risk Ratio (M‐H, Random, 95% CI) 1.74 [0.47, 6.47]
2.8 Graft loss: acute rejection < 2 years (CsA) 2 238 Risk Ratio (M‐H, Random, 95% CI) 0.68 [0.13, 3.56]
2.9 Graft loss: technical/surgical/primary non‐function < 2 years (CsA) 3 393 Risk Ratio (M‐H, Random, 95% CI) 1.05 [0.27, 4.04]
2.10 Death (all causes) < 2 years 4 521 Risk Ratio (M‐H, Random, 95% CI) 1.01 [0.41, 2.47]
2.10.1 CsA 3 393 Risk Ratio (M‐H, Random, 95% CI) 0.87 [0.22, 3.54]
2.10.2 TAC 1 128 Risk Ratio (M‐H, Random, 95% CI) 1.03 [0.22, 4.92]
2.11 Death due to cardiovascular cause < 2 years (CsA) 2 315 Risk Ratio (M‐H, Random, 95% CI) 0.40 [0.07, 2.39]
2.12 Death due to infection < 2 years (CsA) 2 315 Risk Ratio (M‐H, Random, 95% CI) 1.67 [0.25, 11.22]
2.13 Death due to malignancy < 2 years (CsA) 2 315 Risk Ratio (M‐H, Random, 95% CI) 0.88 [0.14, 5.29]
2.14 Infection (all) 4 828 Risk Ratio (M‐H, Random, 95% CI) 0.87 [0.71, 1.07]
2.14.1 CsA 2 238 Risk Ratio (M‐H, Random, 95% CI) 0.97 [0.74, 1.27]
2.14.2 TAC 2 590 Risk Ratio (M‐H, Random, 95% CI) 0.74 [0.61, 0.89]
2.15 Infection: bacterial 4 828 Risk Ratio (M‐H, Random, 95% CI) 0.96 [0.70, 1.30]
2.15.1 CsA 2 238 Risk Ratio (M‐H, Random, 95% CI) 1.17 [0.88, 1.56]
2.15.2 TAC 2 590 Risk Ratio (M‐H, Random, 95% CI) 0.73 [0.56, 0.94]
2.16 Infection: fungal 2 206 Risk Ratio (M‐H, Random, 95% CI) 0.52 [0.13, 2.02]
2.16.1 CsA 1 78 Risk Ratio (M‐H, Random, 95% CI) 0.53 [0.05, 5.57]
2.16.2 TAC 1 128 Risk Ratio (M‐H, Random, 95% CI) 0.52 [0.10, 2.72]
2.17 Infection: CMV (all definitions) 5 983 Risk Ratio (M‐H, Random, 95% CI) 0.76 [0.51, 1.12]
2.17.1 CsA 3 393 Risk Ratio (M‐H, Random, 95% CI) 0.86 [0.39, 1.89]
2.17.2 TAC 2 590 Risk Ratio (M‐H, Random, 95% CI) 0.77 [0.50, 1.20]
2.18 Anaemia 3 668 Risk Ratio (M‐H, Random, 95% CI) 1.04 [0.84, 1.28]
2.18.1 CsA 1 78 Risk Ratio (M‐H, Random, 95% CI) 1.13 [0.62, 2.09]
2.18.2 TAC 2 590 Risk Ratio (M‐H, Random, 95% CI) 1.03 [0.82, 1.28]
2.19 Leukopenia 2 206 Risk Ratio (M‐H, Random, 95% CI) 1.11 [0.57, 2.19]
2.19.1 CsA 1 78 Risk Ratio (M‐H, Random, 95% CI) 1.05 [0.33, 3.35]
2.19.2 TAC 1 128 Risk Ratio (M‐H, Random, 95% CI) 1.15 [0.50, 2.63]

Characteristics of studies

Characteristics of included studies [ordered by study ID]

Andres 2009.

Study characteristics
Methods Study design
  • Parallel RCT

  • Study duration: 2002 to 2003

  • Mean duration of follow‐up: 6 months

  • Country: 17 centres in Spain

  • Definition of DGF: need for perioperative dialysis within the first week after transplantation

  • Definition of eGFR: at 3 and 6 months (Nankivell formula)

Participants Recipient characteristics
  • Number: 114; CsA early low (38); CsA early (40); delayed CsA (36)

  • Mean age ± SD (years): CsA early low (56.4 ± 9.5); CsA early (55.7 ±9.5); CsA delayed (57.7 ± 12.3)

  • Sex (M/F): CsA early low (23/15); CsA early (26/14); delayed (24/12)

  • Recipients considered to be at high risk of developing DGF: donor > 60 years; SCr > 2 mg/dL; DCD; death from cerebrovascular event or CIT > 24 hours


Donor characteristics
  • Type of donor: deceased donors (> 97% DBD)

  • Mean age ± SD (years): 57.6±12.5 CsA early low, 56.3±10.7 CsA early, 58.9±11.3 CsA delayed


Other information
  • Mean CIT ± SD (hours): CsA early low (20.6 ± 5.4); CsA early (19.4 ± 4.6); CsA delayed (19.2 ± 5.4)

  • Reason for high risk of DGF: mean CIT > 18h (with approximately 20% of them CIT between 24‐40 h)

Interventions Group 1: CsA early low
  • CsA < 24 hours: 3 mg/kg/d


Group 2: CsA early
  • CsA < 24 hours: 5 mg/kg/d


Group 3: CsA delayed
  • CsA day 7‐10: 5mg/kg/d


Co‐interventions (all groups)
  • Basiliximab, steroids, MMF

Outcomes Primary outcome
  • eGFR at 3 and 6 months


Secondary outcomes
  • Incidence of DGF, BPAR

  • SCr level

  • Patient and graft survival

Notes  
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Insufficient information about the sequence generation process to permit judgement
Allocation concealment (selection bias) Unclear risk Randomisation stated, but no complete information on method used is available
Blinding of participants and personnel (performance bias)
DGF High risk Not blind (DGF definition based on dialysis indication)
Blinding of participants and personnel (performance bias)
Acute rejection High risk Not blinded
Blinding of participants and personnel (performance bias)
eGFR Low risk No blinding, but outcome not likely to be influenced by lack of blinding
Blinding of participants and personnel (performance bias)
Graft loss Unclear risk No blinding
Blinding of participants and personnel (performance bias)
Death Low risk No blinding, but outcome not likely to be influenced by lack of blinding
Blinding of participants and personnel (performance bias)
Infections Unclear risk No blinding, could affect reporting
Blinding of participants and personnel (performance bias)
Cytopenias Unclear risk No blinding, could affect reporting
Blinding of outcome assessment (detection bias)
DGF High risk No blinding, but DGF measurement is not likely to be influenced by lack of blinding
Blinding of outcome assessment (detection bias)
Acute rejection High risk No blinding
Blinding of outcome assessment (detection bias)
eGFR Low risk Unlikely to be affected by lack of blinding
Blinding of outcome assessment (detection bias)
Graft loss Low risk Unlikely to be affected by lack of blinding
Blinding of outcome assessment (detection bias)
Death Low risk Unlikely to be affected by lack of blinding
Blinding of outcome assessment (detection bias)
Infections Low risk Unlikely to be affected by lack of blinding
Blinding of outcome assessment (detection bias)
Cytopenias Low risk Unlikely to be affected by lack of blinding
Incomplete outcome data (attrition bias)
DGF Low risk Missing data balanced between groups, reasons for missing outcome stated and similar between groups
Incomplete outcome data (attrition bias)
Acute rejection Low risk Missing data balanced between groups, reasons for missing outcome stated and similar between groups
Incomplete outcome data (attrition bias)
eGFR Low risk Missing data balanced between groups, reasons for missing outcome stated and similar between groups
Incomplete outcome data (attrition bias)
Graft loss Low risk Missing data balanced between groups, reasons for missing outcome stated and similar between groups
Incomplete outcome data (attrition bias)
Death Low risk Missing data balanced between groups, reasons for missing outcome stated and similar between groups
Incomplete outcome data (attrition bias)
Infections Low risk Missing data balanced between groups, reasons for missing outcome stated and similar between groups
Incomplete outcome data (attrition bias)
Cytopenias Low risk Missing data balanced between groups, reasons for missing outcome stated and similar between groups
Selective reporting (reporting bias) Unclear risk Insufficient information to permit judgement
Other bias Unclear risk Insufficient information to assess whether an important risk of bias exists

Bechstein‐193 2013.

Study characteristics
Methods Study design
  • Parallel RCT

  • Study duration: not reported

  • Country: multicentre (13 European sites)

  • Mean duration of follow‐up: 6 months

  • Definition of DGF: definition not reported

  • Definition of eGFR: at 6 months (Nankivell formula)

Participants Recipient characteristics
  • Number: 128; reduced TAC (63); standard TAC (65)

  • Mean age ± SD (years): reduced TAC (47.9 ± 13.3); standard TAC (44.6 ± 14.8)

  • Sex (M/F): reduced TAC (45/18); standard TAC (38/27)


Donor characteristics
  • Type of donor: deceased donors (all DBD)

  • Mean age ± SD (years): not reported


Other information
  • Mean CIT ± SD (hours): reduced TAC (17.6 ± 6.6); standard TAC (17.9 ± 6.9)

  • Reason for high risk of DGF: mean CIT 17.6 and 17.9 hours, which rounds to 18 hours when rounded to the nearest whole hour

Interventions Group 1: reduced TAC + SRL
  • TAC initiated within 7 days: levels 3 to 7 ng/mL throughout the study period

  • SRL initiated on day 1: levels 10 to 20 ng/mL (month 1), 10 to 15 ng/mL (months 2 to 3), then 8 to 15 ng/mL


Group 2: standard TAC + SRL
  • TAC initiated within 7 days: levels 10 to 15 ng/mL (month 1), then 8 to 12 ng/mL

  • SRL initiated on day 1: levels 5 to 10 ng/mL throughout the study period


Co‐interventions (all groups)
  • Steroid tapering

  • No antibody induction

Outcomes Primary outcome
  • CrCl


Secondary outcomes
  • SCr

  • AR

  • Patient and graft survival

  • Incidence of infection

  • NODAT

Notes Additional information
  • Study sponsored by Wyeth Pharmaceuticals

  • TAC and SRL doses increased (amended protocol) in the reduced TAC group because of increased incidence of AR and target levels not achieved. However, target TAC and SRL concentrations were not changed.

Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Insufficient information about the sequence generation process to permit judgement
Allocation concealment (selection bias) Unclear risk Randomisation stated but no information on method used is available
Blinding of participants and personnel (performance bias)
DGF Unclear risk Unblinded, no clear definition of DGF
Blinding of participants and personnel (performance bias)
Acute rejection High risk No blinding
Blinding of participants and personnel (performance bias)
eGFR Low risk Unlikely to be influenced by lack of blinding
Blinding of participants and personnel (performance bias)
Graft loss Unclear risk Unblinded, could affect reporting
Blinding of participants and personnel (performance bias)
Death Low risk Unlikely to be influenced by lack of blinding
Blinding of participants and personnel (performance bias)
Infections Unclear risk Unblinded, could affect reporting
Blinding of participants and personnel (performance bias)
Cytopenias Unclear risk Unblinded, could affect reporting
Blinding of outcome assessment (detection bias)
DGF Unclear risk Unblinded, no clear definition of DGF
Blinding of outcome assessment (detection bias)
Acute rejection High risk No blinding
Blinding of outcome assessment (detection bias)
eGFR Low risk Unlikely to be affected by lack of blinding
Blinding of outcome assessment (detection bias)
Graft loss Low risk Unlikely to be affected by lack of blinding
Blinding of outcome assessment (detection bias)
Death Low risk Unlikely to be affected by lack of blinding
Blinding of outcome assessment (detection bias)
Infections Low risk Unlikely to be affected by lack of blinding
Blinding of outcome assessment (detection bias)
Cytopenias Low risk Unlikely to be affected by lack of blinding
Incomplete outcome data (attrition bias)
DGF High risk Imbalance in reasons for missing data across intervention groups
Incomplete outcome data (attrition bias)
Acute rejection High risk Imbalance in reasons for missing data across intervention groups
Incomplete outcome data (attrition bias)
eGFR High risk Imbalance in reasons for missing data across intervention groups
Incomplete outcome data (attrition bias)
Graft loss High risk Imbalance in reasons for missing data across intervention groups
Incomplete outcome data (attrition bias)
Death High risk Imbalance in reasons for missing data across intervention groups
Incomplete outcome data (attrition bias)
Infections High risk Imbalance in reasons for missing data across intervention groups
Incomplete outcome data (attrition bias)
Cytopenias High risk Imbalance in reasons for missing data across intervention groups
Selective reporting (reporting bias) Unclear risk Insufficient information to permit judgement
Other bias High risk Study sponsored by Wyeth Pharmaceuticals

Charpentier 2002.

Study characteristics
Methods Study design
  • Parallel RCT

  • Study duration: not reported

  • Mean duration of follow‐up: 6 months

  • Country: multicentre (30 centres in France, Belgium, Switzerland, and Italy)

  • Definition of DGF: not reported

  • Definition of eGFR: not reported

Participants Recipient characteristics
  • Number: 555; TAC early (185); ATG+TAC delayed (186); ATG+CsA delayed (184)

  • Mean age ± SD (years): TAC early (44.5 ± 11); ATG+TAC delayed (44.7 ± 11.4); ATG+CsA delayed (43.6 ± 10.9)

  • Sex (M/F): TAC early (121/64); ATG+TAC delayed (118/68); ATG+CsA delayed (116/68)


Donor characteristics
  • Type of donor: deceased donors

  • Mean age ± SD (years): not reported


Other information
  • Mean CIT ± SD (hours): TAC early (19.7); ATG+TAC delayed (20.4); ATG+CsA delayed (21)

  • Reason for high risk of DGF: mean CIT > 18 hours

Interventions Group 1: early TAC + no induction
  • TAC 0.3 mg/kg/d: levels 10 to 20 ng/mL from day 1 to 42, and 5 to 15 ng/mL from day 43 to 180


Group 2: ATG + delayed TAC (day 9)
  • TAC 0.3 mg/kg/d: levels 10 to 20 ng/mL from day 1 to 42, and 5 to 15 ng/mL from day 43 to 180


Group 3: ATG + delayed CsA (day 9)*
  • CsA 8 mg/kg/d


Co‐interventions (all groups)
  • AZA, steroids


*intervention not included in the meta‐analysis
Outcomes Primary outcome
  • Incidence and time to first BPAR


Secondary outcomes
  • Incidence of clinically apparent rejection

  • Number of corticosteroid‐resistant rejections

  • Severity of histopathology

  • Number of days on dialysis

Notes Study supported by Fujisawa GmbH
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Insufficient information about the sequence generation process to permit judgement
Allocation concealment (selection bias) Low risk "Patients were allocated the consecutive center specific patient number"; "sealed envelope"
Blinding of participants and personnel (performance bias)
Acute rejection High risk Not blinded
Blinding of participants and personnel (performance bias)
Graft loss Unclear risk Not blinded, could affect reporting
Blinding of participants and personnel (performance bias)
Death Low risk Unlikely to be affected by lack of blinding
Blinding of participants and personnel (performance bias)
Infections Unclear risk Not blinded, could affect reporting
Blinding of participants and personnel (performance bias)
Cytopenias Unclear risk Not blinded, could affect reporting
Blinding of outcome assessment (detection bias)
Acute rejection High risk Not blinded
Blinding of outcome assessment (detection bias)
Graft loss Low risk Unlikely to be influenced by lack of blinding
Blinding of outcome assessment (detection bias)
Death Low risk Unlikely to be influenced by lack of blinding
Blinding of outcome assessment (detection bias)
Infections Low risk Unlikely to be influenced by lack of blinding
Blinding of outcome assessment (detection bias)
Cytopenias Low risk Unlikely to be influenced by lack of blinding
Incomplete outcome data (attrition bias)
DGF Low risk Reasons for missing outcome with similar reasons between groups
Incomplete outcome data (attrition bias)
Acute rejection Low risk Reasons for missing outcome with similar reasons between groups
Incomplete outcome data (attrition bias)
Graft loss Low risk Reasons for missing outcome with similar reasons between groups
Incomplete outcome data (attrition bias)
Death Low risk Reasons for missing outcome with similar reasons between groups
Incomplete outcome data (attrition bias)
Infections Low risk Reasons for missing outcome with similar reasons between groups
Incomplete outcome data (attrition bias)
Cytopenias Low risk Reasons for missing outcome with similar reasons between groups
Selective reporting (reporting bias) Unclear risk Insufficient information to permit judgement
Other bias High risk Supported by Fujisawa GmbH

Hernandez 2007.

Study characteristics
Methods Study design
  • Parallel RCT

  • Study duration: 1999 to 2004

  • Mean duration of follow‐up: 24 months

  • Country: Spain (single centre)

  • Definition of DGF: need for dialysis in the first week after transplant, SCr that did not decrease by 20% or urine output < 40 mL/h within 24 hours of transplantation

  • Definition of eGFR (included in the meta‐analysis): at 2 years, Cockroft‐Gault equation

Participants Recipient characteristics
  • Number: 240; ATG+standard CsA (80); BSX+reduced CsA (80); BSX+reduced TAC (80)

  • Mean age ± SD (years): ATG+standard CsA (47 ± 12); BSX+reduced CsA (48 ± 14); BSX+reduced TAC (47 ± 11)

  • Sex (M/F): ATG+standard CsA (59/21); BSX+reduced CsA (50/30); BSX+reduced TAC (44/36)


Donor characteristics:
  • Type of donor: deceased donors (all DBD)

  • Mean age ± SD (years): ATG+standard CsA (45 ± 16); BSX+reduced CsA (42 ± 15); BSX+reduced TAC (44 ± 17)


Other information
  • Mean CIT ± SD (hours): ATG+standard CsA (20.3 ± 4); BSX+reduced CsA (21.0 ± 4); BSX+reduced TAC (21.0 ± 4)

  • Reason for high risk of DGF: mean CIT > 18 hours

Interventions Group 1: ATG + standard CsA + AZA
  • CsA 4 mg/kg twice/day: target level 175 to 300 ng/mL (3 months), then 150 to 200 ng/mL


Group 2: BSX + reduced CsA + MMF
  • CsA 2 mg/kg twice/day: target level 125 to 175 ng/mL throughout the study


Group 3: BSX + reduced TAC + MMF*
  • TAC 0.05 mg/kg twice/day: target level 7 to 10 ng/mL throughout the study


Co‐interventions (all groups)
  • Steroid tapering


*Intervention not included in the meta‐analysis
Outcomes Primary outcome
  • CrCl


Secondary outcomes
  • BPAR

  • Patient and graft survival

  • Safety

Notes In group ATG+standard CsA, in case of DGF CsA dose was reduced to 2mg/kg twice daily until SCr < 3 mg/dL
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Randomisation sequence was computer generated
Allocation concealment (selection bias) Low risk Sequentially numbered sealed envelopes
Blinding of participants and personnel (performance bias)
DGF Unclear risk Unblinded, DGF definition based on dialysis indication (potentially affected by lack of blinding) or creatinine (unlikely to be affected by lack of blinding)
Blinding of participants and personnel (performance bias)
Acute rejection Low risk Defined by biopsy, not likely to be influenced by lack of blinding
Blinding of participants and personnel (performance bias)
eGFR Low risk Unlikely to be influenced by lack of blinding
Blinding of participants and personnel (performance bias)
Graft loss Unclear risk Unblinded, could affect reporting
Blinding of participants and personnel (performance bias)
Death Low risk Unlikely to be influenced by lack of blinding
Blinding of participants and personnel (performance bias)
Infections Unclear risk Unblinded, could affect reporting
Blinding of outcome assessment (detection bias)
DGF Unclear risk Unblinded, DGF definition based on dialysis indication (potentially affected by lack of blinding) or creatinine (unlikely to be affected by lack of blinding)
Blinding of outcome assessment (detection bias)
Acute rejection Low risk Defined by biopsy, not likely to be influenced by lack of blinding
Blinding of outcome assessment (detection bias)
eGFR Low risk Not likely to be influenced by lack of blinding
Blinding of outcome assessment (detection bias)
Graft loss Low risk Not likely to be influenced by lack of blinding
Blinding of outcome assessment (detection bias)
Death Low risk Not likely to be influenced by lack of blinding
Blinding of outcome assessment (detection bias)
Infections Low risk Not likely to be influenced by lack of blinding
Incomplete outcome data (attrition bias)
DGF Low risk Similar reasons for missing data across groups
Incomplete outcome data (attrition bias)
Acute rejection Low risk Similar reasons for missing data across groups
Incomplete outcome data (attrition bias)
eGFR Low risk Similar reasons for missing data across groups
Incomplete outcome data (attrition bias)
Graft loss Low risk Similar reasons for missing data across groups
Incomplete outcome data (attrition bias)
Death Low risk Similar reasons for missing data across groups
Incomplete outcome data (attrition bias)
Infections Low risk Similar reasons for missing data across groups
Selective reporting (reporting bias) Unclear risk Insufficient information to permit judgement
Other bias Low risk The study appears to be free of other sources of bias

Kyllonen 2002.

Study characteristics
Methods Study design
  • Parallel RCT

  • Study duration: 1999 to 2001

  • Mean duration of follow‐up: 5 years

  • Country: Finland

  • Definition of DGF: plasma creatinine concentration higher than 500umol/L throughout the first posttransplant week, or need of more than one dialysis session in the first week, or oliguria <1 L/24 hr for more than 2 days.

  • Definition of eGFR (included in the meta‐analysis): at 2 years, Cockroft‐Gault equation.

Participants Recipient characteristics
  • Number: 168; ATG+low CsA (53); BSX+low CsA (58); standard CsA (45)

  • Mean age ± SD (years): ATG+low CsA (44.4 ± 32.1); BSX+low CsA (44.1 ± 32.7); standard CsA (46.4 ± 27.6)

  • Sex (M/F): ATG+low CsA (14/39); BSX+low CsA (27/31); standard CsA (15/29)


Donor characteristics
  • Type of donor: deceased donors (100% DBD)

  • Mean age ± SD (years): ATG+low CsA (40.6); BSX+low CsA (42.0); standard CsA (40.0)


Other information
  • Mean CIT ± SD (hours): ATG+low CsA (21.8); BSX+low CsA (22.7); standard CsA (22.1)

  • Reason for high risk of DGF: mean CIT > 18 hours

Interventions Group 1: ATG + low CsA
  • CsA 2.5 mg/kg pre‐op, continued at 5 mg/kg after surgery: target level at day 7 200 to 300 ug/L


Group 2: BSX + low CsA
  • CsA 2.5 mg/kg pre‐op, continued at 5 mg/kg after surgery: target level at day 7 200 to 300 ug/L


Group 3: no induction + standard CsA
  • CsA 5 mg/kg pre‐op, continued at 10 mg/kg after surgery: target level at day 7 200 to 300 ug/L


Co‐interventions (all groups)
  • AZA, steroids

Outcomes Primary outcome
  • DGF

  • AR


Secondary outcomes
  • Adverse events

  • Graft survival

Notes  
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated numbered randomisation
Allocation concealment (selection bias) Low risk Consecutively numbered sealed envelopes
Blinding of participants and personnel (performance bias)
DGF Unclear risk Unblinded, DGF definition based on dialysis indication (potentially affected by lack of blinding) or creatinine (unlikely to be affected by lack of blinding)
Blinding of participants and personnel (performance bias)
Acute rejection Low risk All rejection episodes were biopsy proven, unlikely to be affected by lack of blinding
Blinding of participants and personnel (performance bias)
eGFR Low risk Unlikely to be affected by lack of blinding
Blinding of participants and personnel (performance bias)
Graft loss Unclear risk Unblinded, could affect reporting
Blinding of participants and personnel (performance bias)
Death Low risk Unlikely to be affected by lack of blinding
Blinding of outcome assessment (detection bias)
DGF Unclear risk Unblinded, DGF definition based on dialysis indication (potentially affected by lack of blinding) or creatinine (unlikely to be affected by lack of blinding)
Blinding of outcome assessment (detection bias)
Acute rejection Low risk All rejection episodes were biopsy proven, unlikely to be affected by lack of blinding
Blinding of outcome assessment (detection bias)
eGFR Low risk Unlikely to be influenced by lack of blinding
Blinding of outcome assessment (detection bias)
Graft loss Low risk Unlikely to be influenced by lack of blinding
Blinding of outcome assessment (detection bias)
Death Low risk Unlikely to be influenced by lack of blinding
Incomplete outcome data (attrition bias)
DGF Low risk Low number missing, balanced between groups
Incomplete outcome data (attrition bias)
Acute rejection Low risk Low number missing, balanced between groups
Incomplete outcome data (attrition bias)
eGFR Low risk Low number missing, balanced between groups
Incomplete outcome data (attrition bias)
Graft loss Low risk Low number missing, balanced between groups
Incomplete outcome data (attrition bias)
Death Low risk Low number missing, balanced between groups
Selective reporting (reporting bias) Low risk Protocol
Other bias Low risk The study appears to be free from other sources of bias

Lebranchu 2002.

Study characteristics
Methods Study design
  • Parallel RCT

  • Study duration: 1998 to 2000

  • Country: France (9 transplant centres)

  • Mean duration of follow‐up: 6 months

  • Definition of DGF: defined as the need for regular postoperative dialysis, graftectomy, or retransplantation

  • Definition of eGFR: at 1 year, Cockroft formula

Participants Recipient characteristics
  • Number: 100; BSX+early CsA (50); ATG+delayed CsA (50)

  • Mean age ± SD (years): BSX+early CsA (44.1 ± 11.5); ATG+delayed CsA (45.8 ± 10.8)

  • Sex (M/F): BSX+early CsA (36/14); ATG+delayed CsA (32/18)


Donor characteristics
  • Type of donor: deceased donors

  • Mean age ± SD (years): BSX+early CsA (41.1 ± 12.1); ATG+delayed CsA (41.1 ± 12.1)


Other information
  • Mean CIT ± SD (hours): BSX+early CsA (19.3 ± 6.5); ATG+delayed CsA (20.4 ± 6.7)

  • Reason for high risk of DGF: mean CIT > 18 hours

Interventions Group 1: BSX + early CsA
  • Start of CsA during the first 24 hours post‐transplant; dose 6 to 8 mg/kg: levels 150 to 250 ng/mL (days 0 to 14), 150 to 200 ng/mL (day 15 to week 12), and 125 to 175 ng/mL (weeks 13 to 24)


Group 2: ATG + delayed CsA
  • Start of CsA when SCr < 250 µmol/L, dose 6 to 8 mg/kg


Co‐interventions (all groups)
  • MMF, steroids

Outcomes Reported outcomes
  • First AR

  • First BPAR

  • First AR treated with antibody therapy or TAC

  • Graft loss

  • Treatment failure

  • Death

  • Kidney function

Notes  
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Insufficient information about the sequence generation process to permit judgement
Allocation concealment (selection bias) Unclear risk Randomisation stated but no information on method used is available
Blinding of participants and personnel (performance bias)
DGF Unclear risk Not blinded, but definition of DGF can be either based on creatinine (unlikely to be affected by lack of blinding) or dialysis (potentially affected by lack of blinding)
Blinding of participants and personnel (performance bias)
Acute rejection High risk Not blinded
Blinding of participants and personnel (performance bias)
eGFR Low risk Not likely to be influenced by lack of blinding
Blinding of participants and personnel (performance bias)
Graft loss Unclear risk Unblinded, could affect reporting
Blinding of participants and personnel (performance bias)
Death Low risk Not likely to be influenced by lack of blinding
Blinding of participants and personnel (performance bias)
Infections Unclear risk Unblinded, could affect reporting
Blinding of participants and personnel (performance bias)
Cytopenias Unclear risk Unblinded, could affect reporting
Blinding of outcome assessment (detection bias)
DGF Unclear risk Not blinded, but definition of DGF can be either based on creatinine (unlikely to be affected by lack of blinding) or dialysis (potentially affected by lack of blinding)
Blinding of outcome assessment (detection bias)
Acute rejection High risk Not blinded
Blinding of outcome assessment (detection bias)
eGFR Low risk Unlikely to be influenced by lack of blinding
Blinding of outcome assessment (detection bias)
Graft loss Low risk Unlikely to be influenced by lack of blinding
Blinding of outcome assessment (detection bias)
Death Low risk Unlikely to be influenced by lack of blinding
Blinding of outcome assessment (detection bias)
Infections Low risk Unlikely to be influenced by lack of blinding
Blinding of outcome assessment (detection bias)
Cytopenias Low risk Unlikely to be influenced by lack of blinding
Incomplete outcome data (attrition bias)
DGF Low risk Few missing, balanced between groups
Incomplete outcome data (attrition bias)
Acute rejection Low risk Few missing, balanced between groups
Incomplete outcome data (attrition bias)
eGFR Low risk Few missing, balanced between groups
Incomplete outcome data (attrition bias)
Graft loss Low risk Few missing, balanced between groups
Incomplete outcome data (attrition bias)
Death Low risk Few missing, balanced between groups
Incomplete outcome data (attrition bias)
Infections Low risk Few missing, balanced between groups
Incomplete outcome data (attrition bias)
Cytopenias Low risk Few missing, balanced between groups
Selective reporting (reporting bias) Unclear risk Insufficient information to permit judgement
Other bias Unclear risk Insufficient information to permit judgement

Mourad 2005.

Study characteristics
Methods Study design
  • Parallel RCT

  • Study duration: 2002 to 2004

  • Country: France (18 centres)

  • Mean duration of follow‐up: 12 months

  • Definition of DGF: SCr > 264 µmol/L at day 5

  • Definition of eGFR: at 1 year, Cockroft formula

Participants Recipient characteristics
  • Number 197; early CsA (97); delayed CsA (100)

  • Mean age ± SD (years): early CsA (47 ± 13); delayed CsA (48 ± 13)

  • Sex (M/F): early CsA (66/31); delayed CsA (62/38)


Donor characteristics
  • Type of donor: deceased donors (> 95%)

  • Age > 50 years: early CsA (37%); delayed CsA (39%)


Other information
  • Mean CIT ± SD (hours): early CsA (19 ± 8); delayed CsA (21 ± 8)

  • Reason for high risk of DGF: mean CIT > 18h.

Interventions Group 1: early CsA
  • CsA started at day 0, 8 mg/kg/d: C2 levels 1300 ng/mL (weeks 0 to 6); 1150 ng/mL (weeks 6 to 12), 900 ng/mL (months 4 to 6), and then 700 ng/mL. C0 levels not recorded


Group 2: delayed CsA
  • CsA started at day 6, 8 mg/kg/d: C2 levels: 1300 ng/mL (weeks 0 to 6), 1150 ng/mL (weeks 6 to 12), 900 ng/mL (months 4 to 6), and then 700 ng/mL. C0 levels not recorded


Co‐interventions (all groups)
  • MPA, steroid tapering, BSX/daclizumab

Outcomes Primary outcome
  • CrCl


Secondary outcomes
  • AR

  • DGF

  • Adverse events

Notes Funded by a grant from Novartis Pharma AG
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated randomisation sequence
Allocation concealment (selection bias) Unclear risk Randomisation stated but no information on method use is available
Blinding of participants and personnel (performance bias)
DGF Low risk DGF outcome not likely to be influenced by lack of blinding (based on creatinine definition)
Blinding of participants and personnel (performance bias)
Acute rejection High risk Not blinded. Not all acute rejections were biopsy‐proven
Blinding of participants and personnel (performance bias)
eGFR Low risk Not likely to be influenced by lack of blinding
Blinding of participants and personnel (performance bias)
Graft loss Unclear risk Unblinded, could affect reporting
Blinding of participants and personnel (performance bias)
Death Low risk Not likely to be influenced by lack of blinding
Blinding of participants and personnel (performance bias)
Infections Unclear risk Unblinded, could affect reporting
Blinding of participants and personnel (performance bias)
Cytopenias Unclear risk Unblinded, could affect reporting
Blinding of outcome assessment (detection bias)
DGF Low risk DGF mesurement not likely to be influenced by lack of blinding (based on creatinine definition)
Blinding of outcome assessment (detection bias)
Acute rejection High risk Not blinded. Not all acute rejections were biopsy‐proven
Blinding of outcome assessment (detection bias)
eGFR Low risk Not likely to be influenced by lack of blinding
Blinding of outcome assessment (detection bias)
Graft loss Low risk Not likely to be influenced by lack of blinding
Blinding of outcome assessment (detection bias)
Death Low risk Not likely to be influenced by lack of blinding
Blinding of outcome assessment (detection bias)
Infections Low risk Not likely to be influenced by lack of blinding
Blinding of outcome assessment (detection bias)
Cytopenias Low risk Not likely to be influenced by lack of blinding
Incomplete outcome data (attrition bias)
DGF Unclear risk Insufficient information to permit judgement
Incomplete outcome data (attrition bias)
Acute rejection Unclear risk Insufficient information to permit judgement
Incomplete outcome data (attrition bias)
eGFR Unclear risk Insufficient information to permit judgement
Incomplete outcome data (attrition bias)
Graft loss Unclear risk Insufficient information to permit judgement
Incomplete outcome data (attrition bias)
Death Unclear risk Insufficient information to permit judgement
Incomplete outcome data (attrition bias)
Infections Unclear risk Insufficient information to permit judgement
Incomplete outcome data (attrition bias)
Cytopenias Unclear risk Insufficient information to permit judgement
Selective reporting (reporting bias) Unclear risk Insufficient information to permit judgement
Other bias Unclear risk Funded by a grant from Novartis Pharma AG

Noel 2009.

Study characteristics
Methods Study design
  • Parallel RCT

  • Study duration: 2001 to 2005

  • Country: France and Belgium (19 sites)

  • Mean duration of follow‐up: 12 months

  • Definition of DGF: need for dialysis within the first week after transplantation

  • Definition of eGFR: 1 year, MDRD formula

Participants Recipient characteristics
  • Number: 227; ATG+delayed TAC (113); daclizumab+early TAC (114)

  • Mean age ± SD (years): ATG+delayed TAC (45.4 ± 10.3); daclizumab+early TAC (46.9 ± 9.0)

  • Sex (M/F): ATG+delayed TAC (52/61); daclizumab+early TAC (59/55)


Donor characteristics:
  • Type of donor: deceased donors (all DBD)

  • Mean age ± SD (years): ATG+delayed TAC (44.3 ± 13.8); daclizumab+early TAC (44.6 ± 14.8)


Other information
  • Mean CIT ± SD (hours): ATG+delayed TAC (24.0 ± 7.9); daclizumab+early TAC (22.7±6.8)

  • Reason for high risk of DGF: mean CIT >18 hours

Interventions Group 1: ATG + delayed TAC
  • TAC started on day 2 or day 5 if no spontaneous decrease in SCr, 0.2 mg/kg: target levels 10 to 15 ng/mL (3 months), then 8 to 12 ng/mL


Group 2: daclizumab + early TAC
  • TAC started before transplant, 0.2 mg/kg: target levels 10 to 15 ng/mL (3 months), then 8 to 12 ng/mL


Co‐interventions (all groups)
  • MMF, steroid tapering

Outcomes Primary outcome
  • BPAR


Secondary outcomes
  • DGF

  • Kidney function

  • Patient and graft survival

Notes  
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Central randomisation procedure
Allocation concealment (selection bias) Unclear risk Randomisation stated but no information on method used is available
Blinding of participants and personnel (performance bias)
DGF High risk Not blinded (DGF definition based on dialysis indication)
Blinding of participants and personnel (performance bias)
Acute rejection Low risk Primary endpoint BPAR, unlikely to be affected by lack of blinding
Blinding of participants and personnel (performance bias)
eGFR Low risk Unlikely to be affected by lack of blinding
Blinding of participants and personnel (performance bias)
Graft loss Unclear risk Unblinded, could affect reporting
Blinding of participants and personnel (performance bias)
Death Low risk Unlikely to be affected by lack of blinding
Blinding of participants and personnel (performance bias)
Infections Unclear risk Unblinded, could affect reporting
Blinding of outcome assessment (detection bias)
DGF High risk Not blinded (DGF definition based on dialysis indication)
Blinding of outcome assessment (detection bias)
Acute rejection Low risk Primary endpoint BPAR, unlikely to be affected by lack of blinding
Blinding of outcome assessment (detection bias)
eGFR Low risk Unlikely to be affected by lack of blinding
Blinding of outcome assessment (detection bias)
Graft loss Low risk Unlikely to be affected by lack of blinding
Blinding of outcome assessment (detection bias)
Death Low risk Unlikely to be affected by lack of blinding
Blinding of outcome assessment (detection bias)
Infections Low risk Unlikely to be affected by lack of blinding
Incomplete outcome data (attrition bias)
DGF High risk Not blinded (DGF definition based on dialysis indication)
Incomplete outcome data (attrition bias)
Acute rejection Low risk Balanced causes between groups
Incomplete outcome data (attrition bias)
eGFR Low risk Balanced causes between groups
Incomplete outcome data (attrition bias)
Graft loss Low risk Balanced causes between groups
Incomplete outcome data (attrition bias)
Death Low risk Balanced causes between groups
Incomplete outcome data (attrition bias)
Infections Low risk Balanced causes between groups
Selective reporting (reporting bias) Low risk Study protocol available
Other bias Low risk The study appears to be free of other sources of bias

OSAKA 2013.

Study characteristics
Methods Study design
  • Parallel RCT

  • Study duration: 2008 to 2010

  • Country: international (110 sites)

  • Mean duration of follow‐up: 168 days

  • Definition of DGF: dialysis for more than 1 day within the first week after transplant

  • Definition of eGFR: at 168 days, MDRD formula

Participants Recipient characteristics
  • Number: 1198; IR reduced TAC (154); PR reduced TAC (155); PR standard TAC (153); PR reduced TAC+BSX (158)

  • Mean age ± SD (years): IR reduced TAC (56.5 ± 11.4); PR reduced TAC (56.3 ± 11.3); PR standard TAC (55.6 ± 11.9); PR reduced TAC+BSX (54.4 ± 12.3)

  • Sex (M/F): IR reduced TAC (110/44); PR reduced TAC (106/49); PR standard TAC (104/49); PR reduced TAC+BSX (109/49)


Donor characteristics
  • ECD donors: 620

  • Type of donor: extended criteria donors (deceased donors > 95%)

  • Mean age ± SD (years): IR reduced TAC (61.6 ± 9.4); PR reduced TAC (62.1 ± 8.7); PR standard TAC (61.8 ± 8.3); PR reduced TAC+BSX (61.1 ± 8.6)


Other information
  • Mean CIT ± SD (hours): IR reduced TAC (14.3 ± 5.5); PR reduced TAC (15.4 ± 5.8); PR standard TAC (15.1 ± 5.6); PR reduced TAC+BSX (15.5 ± 5.8)

  • Reason for high risk of DGF: ECD

Interventions Group 1: IR reduced TAC + steroid taperingº
  • IR TAC: 0.2 mg/kg/d


Group 2: PR reduced TAC + steroid taperingº
  • PR TAC: 0.2 mg/kg/d


Group 3: PR standard TAC + steroid tapering
  • PR TAC: 0.3 mg/kg/d


Group 4: PR reduced TAC + BSX (ST only initial bolus)*
  • PR TAC at 0.2 mg/kg/d


Co‐interventions (all groups)
  • MMF

  • Groups 1, 2 and 3 received no induction


ºinterventions included in the "low TAC" group
*intervention not included in the meta‐analysis
Outcomes Primary outcome
  • Composite of graft loss, BPAR or graft dysfunction


Secondary outcomes
  • eGFR

  • BPAR

  • Graft and patient survival

  • NODAT

Notes Study funded by Astellas Pharma Global Development
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Randomisation using an interactive voice response system
Allocation concealment (selection bias) Low risk Allocation using an interactive voice response system
Blinding of participants and personnel (performance bias)
DGF High risk Unblinded, DGF definition based on dialysis indication
Blinding of participants and personnel (performance bias)
Acute rejection Low risk Acute rejection diagnosed with biopsy, unlikely to be influenced by lack of blinding
Blinding of participants and personnel (performance bias)
eGFR Low risk Unlikely to be influenced by lack of blinding
Blinding of participants and personnel (performance bias)
Graft loss Unclear risk Unblinded, could affect reporting
Blinding of participants and personnel (performance bias)
Infections Unclear risk Unblinded, could affect reporting
Blinding of participants and personnel (performance bias)
Cytopenias Unclear risk Unblinded, could affect reporting
Blinding of outcome assessment (detection bias)
DGF High risk Unblinded, DGF definition based on dialysis indication
Blinding of outcome assessment (detection bias)
Acute rejection Low risk Acute rejection diagnosed with biopsy, unlikely to be influenced by lack of blinding
Blinding of outcome assessment (detection bias)
eGFR Low risk Unlikely to be influenced by lack of blinding
Blinding of outcome assessment (detection bias)
Graft loss Low risk Unlikely to be influenced by lack of blinding
Blinding of outcome assessment (detection bias)
Infections Low risk Unlikely to be influenced by lack of blinding
Blinding of outcome assessment (detection bias)
Cytopenias Low risk Unlikely to be influenced by lack of blinding
Incomplete outcome data (attrition bias)
DGF Low risk Missing data and causes balanced between groups
Incomplete outcome data (attrition bias)
Acute rejection Low risk Missing data and causes balanced between groups
Incomplete outcome data (attrition bias)
eGFR Low risk Missing data and causes balanced between groups
Incomplete outcome data (attrition bias)
Graft loss Low risk Missing data and causes balanced between groups
Incomplete outcome data (attrition bias)
Infections Low risk Missing data and causes balanced between groups
Incomplete outcome data (attrition bias)
Cytopenias Low risk Missing data and causes balanced between groups
Selective reporting (reporting bias) Unclear risk Insufficient information to permit judgement
Other bias High risk Study funded by Astellas Pharma Global Development

SENIOR 2009.

Study characteristics
Methods Study design
  • Parallel RCT

  • Study duration: 2004 to 2006

  • Country: multicentre (32 sites from 7 European countries)

  • Mean duration of follow‐up: 6 months

  • Definition of DGF: dialysis for more than 1 day within the first week after transplant

  • Definition of eGFR: at 6 months, Cockroft‐Gault formula

Participants Recipient characteristics
  • Number: 254; early TAC (122); delayed TAC (132)

  • Mean age ± SD (years): early TAC (65.5 ± 3.8); delayed TAC (66.4 ± 4)

  • Sex (M/F): early TAC (74/48); delayed TAC (83/49)


Donor characteristics
  • Type of donor: > 97% deceased donors

  • Mean age ± SD (years): early TAC (63.2 ± 13.7); delayed TAC (63.2 ± 13.3)


Other information
  • Mean CIT ± SD (hours): early TAC (14.2 ± 6.1); early TAC (14.1 ± 6.3)

  • Reason for high risk of DGF: donors > 60 years

Interventions Group 1: early TAC
  • TAC started on the day of the transplant, initial dose 0.15 mg/kg twice/d: target concentrations 10 to 15 ng/mL (days 0 to 14), 5 to 12 ng/mL (days 15 to 42), then 5 to 10 ng/mL


Group 2: delayed TAC + BSX induction
  • TAC started on day 7, initial dose 0.15 mg/kg twice/d: target concentrations 10 to 15 ng/mL (days 0 to 14), 8 to 12 ng/mL (days 15 to 42), then 5 to 10 ng/mL


Co‐interventions (all groups)
  • MMF and steroid tapering

  • Early TAC did not receive induction

Outcomes Primary outcome
  • Kidney function


Secondary outcomes
  • BPAR

  • Graft and patient survival

  • Adverse events

  • DGF

  • NODAT

Notes  
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated randomised list
Allocation concealment (selection bias) Unclear risk Randomisation stated but no information on method used is available
Blinding of participants and personnel (performance bias)
DGF High risk Not blinded (DGF definition based on dialysis indication)
Blinding of participants and personnel (performance bias)
Acute rejection High risk Not blinded
Blinding of participants and personnel (performance bias)
eGFR Low risk Not likely to be influenced by lack of blinding
Blinding of participants and personnel (performance bias)
Graft loss Unclear risk Unblinded, could affect reporting
Blinding of participants and personnel (performance bias)
Death Low risk Not likely to be influenced by lack of blinding
Blinding of participants and personnel (performance bias)
Infections Unclear risk Unblinded, could affect reporting
Blinding of participants and personnel (performance bias)
Cytopenias Unclear risk Unblinded, could affect reporting
Blinding of outcome assessment (detection bias)
DGF High risk Not blinded (DGF definition based on dialysis indication)
Blinding of outcome assessment (detection bias)
Acute rejection High risk Not blinded
Blinding of outcome assessment (detection bias)
eGFR Low risk Not likely to be influenced by lack of blinding
Blinding of outcome assessment (detection bias)
Graft loss Low risk Not likely to be influenced by lack of blinding
Blinding of outcome assessment (detection bias)
Death Low risk Not likely to be influenced by lack of blinding
Blinding of outcome assessment (detection bias)
Infections Low risk Not likely to be influenced by lack of blinding
Blinding of outcome assessment (detection bias)
Cytopenias Low risk Not likely to be influenced by lack of blinding
Incomplete outcome data (attrition bias)
DGF Low risk Balanced causes between groups
Incomplete outcome data (attrition bias)
Acute rejection Low risk Balanced causes between groups
Incomplete outcome data (attrition bias)
eGFR Low risk Balanced causes between groups
Incomplete outcome data (attrition bias)
Graft loss Low risk Balanced causes between groups
Incomplete outcome data (attrition bias)
Death Low risk Balanced causes between groups
Incomplete outcome data (attrition bias)
Infections Low risk Balanced causes between groups
Incomplete outcome data (attrition bias)
Cytopenias Low risk Balanced causes between groups
Selective reporting (reporting bias) Low risk Protocol published
Other bias Unclear risk Editing assistance received financial remuneration from study sponsor

Thomas 2007.

Study characteristics
Methods Study design
  • Parallel RCT

  • Study duration: 2005 to 2006

  • Country: USA

  • Median follow‐up (IQR range): 377 days (127 to 611)

  • Definition of DGF: not reported

  • Definition of eGFR: not reported

Participants Recipient characteristics
  • Number: 21; early TAC (11); delayed TAC (8)

  • Mean age ± SD (years): early TAC (43.5 ± 4.1); delayed TAC (47.1 ± 4.2)

  • Sex (M/F):early TAC (6/5); delayed TAC (2/6)


Donor characteristics
  • Type of donor: deceased donors

  • Mean age ± SD (years): not reported


Other information
  • Mean CIT ± SD (hours): early TAC (34.0 ± 4.2); delayed TAC (23.7 ± 4.6)

  • Reason for high risk of DGF: mean CIT > 18 hours

Interventions Group 1: early TAC + alemtuzumab
  • TAC started on first post‐op day: target level 10 ng/mL


Group 2: delayed TAC + ATG
  • TAC started when SCr < 3 mg/dL or on post‐op day 3: target level 10 ng/mL


Co‐interventions (all groups)
  • MMF, steroid tapering

Outcomes Primary outcome
  • Graft function


Secondary outcomes
  • AR

  • Safety

Notes  
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Insufficient information about the sequence generation process to permit judgement
Allocation concealment (selection bias) Unclear risk Randomisation stated but no information on method used is available
Blinding of participants and personnel (performance bias)
Acute rejection High risk Not blinded
Blinding of participants and personnel (performance bias)
Graft loss Unclear risk Unblinded, could affect reporting
Blinding of participants and personnel (performance bias)
Death Low risk Unlikely to be affected by lack of blinding
Blinding of outcome assessment (detection bias)
Acute rejection High risk Not blinded
Blinding of outcome assessment (detection bias)
Graft loss Low risk Unlikely to be influenced by lack of blinding
Blinding of outcome assessment (detection bias)
Death Low risk Unlikely to be affected by lack of blinding
Incomplete outcome data (attrition bias)
Acute rejection Low risk No missing data
Incomplete outcome data (attrition bias)
Graft loss Low risk No missing data
Incomplete outcome data (attrition bias)
Death Low risk No missing data.
Selective reporting (reporting bias) Unclear risk Insufficient information to permit judgement
Other bias Unclear risk Low number included from eligible patients

Wilson 2005.

Study characteristics
Methods Study design
  • Parallel RCT

  • Study duration: 2000 to 2003

  • Country: UK (2 sites)

  • Mean duration of follow‐up: 3 months

  • Definition of DGF: requirement for more than one dialysis session in the first week after transplantation, with subsequent evidence of graft function

  • Definition of eGFR: at 3 months, Cockcroft‐Gault formula

Participants Recipient characteristics
  • Number: 51; early TAC (26); delayed TAC (25)

  • Mean age ± SD (years): early TAC (47 ± 12); delayed TAC (53 ± 14)

  • Sex (M/F): early TAC (14/12); delayed TAC (17/8)


Donor characteristics
  • Type of donor: deceased donors (all DCD)

  • Mean age ± SD (years): early TAC (44 ± 15); delayed TAC (47 ± 15)


Other information
  • Mean CIT ± SD (hours): early TAC (21 ± 6); delayed TAC (23 ± 8)

  • Reason for high risk of DGF: DCD donors, mean CIT > 18 hours

Interventions Group 1: early TAC
  • TAC started the day after transplantation at 0.1mg/kg twice/d: target level 8 to 12 ng/mL

  • No induction


Group 2: delayed TAC+daclizumab
  • TAC started when SCr < 350 µmol/L or evidence of AR, at 0.1 mg/kg twice/d: target level 8 to 12 ng/mL

  • Induction with daclizumab


Co‐interventions (all groups)
  • MMF, steroid tapering

Outcomes Primary outcome
  • Graft function


Secondary outcomes
  • AR

  • DGF

  • Safety

Notes Funded by Fujisawa and Roche
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) High risk Predesignated sequence overseen by investigators
Allocation concealment (selection bias) High risk Predesignated sequence overseen by investigators
Blinding of participants and personnel (performance bias)
DGF Unclear risk Not blinded, unclear definition of DGF
Blinding of participants and personnel (performance bias)
Acute rejection High risk Not blinded
Blinding of participants and personnel (performance bias)
eGFR Low risk Unlikely to be influenced by lack of blinding
Blinding of participants and personnel (performance bias)
Graft loss Unclear risk Unblinded, could affect reporting
Blinding of participants and personnel (performance bias)
Death Low risk Unlikely to be influenced by lack of blinding
Blinding of outcome assessment (detection bias)
DGF Unclear risk Not blinded, unclear definition of DGF
Blinding of outcome assessment (detection bias)
Acute rejection High risk Not blinded
Blinding of outcome assessment (detection bias)
eGFR Low risk Unlikely to be influenced by lack of blinding
Blinding of outcome assessment (detection bias)
Graft loss Low risk Unlikely to be influenced by lack of blinding
Blinding of outcome assessment (detection bias)
Death Low risk Unlikely to be influenced by lack of blinding
Incomplete outcome data (attrition bias)
DGF Low risk Missing and causes balanced between groups
Incomplete outcome data (attrition bias)
Acute rejection Low risk Missing and causes balanced between groups
Incomplete outcome data (attrition bias)
eGFR Low risk Missing and causes balanced between groups
Incomplete outcome data (attrition bias)
Graft loss Low risk Missing and causes balanced between groups
Incomplete outcome data (attrition bias)
Death Low risk Missing and causes balanced between groups
Selective reporting (reporting bias) Unclear risk Insufficient information to permit judgement
Other bias High risk Study funded by Fujisawa and Roche
Baseline characteristics not balanced between groups

AR: acute rejection; ATG: anti‐thymocyte globulin; AZA: azathioprine; BPAR: biopsy‐proven BSX: basiliximab; AR; CrCl: creatinine clearance; CsA: cyclosporin A; CIT: cold ischaemic time; DBD: donation after brain death; DCD: donation after circulatory death; DGF: delayed graft function; eGFR: estimated GFR; GFR: glomerular filtration rate; IR: immediate release; MDRD: Modification of Diet in Renal Disease; MMF: mycophenolate mofetil; MPA: mycophenolic acid; NODAT: new‐onset diabetes after transplant; NODM: new‐onset diabetes mellitus; pre‐op: pre‐operation; RCT: randomised controlled trial; SCr: serum creatinine; SD: standard deviation; SRL: sirolimus; TAC: tacrolimus

Characteristics of excluded studies [ordered by study ID]

Study Reason for exclusion
3C 2014 Wrong population: none at high risk of DGF
Alexander 2006 Wrong population: none at high risk of DGF
ALLEGRO 2018 Wrong intervention: intervention 6 months after transplantation, not initial immunosuppression
APOLLO 2015 Wrong intervention: conversion to mTORi
ASCERTAIN 2011 Wrong intervention: conversion to mTORi
Asher 2014 Wrong intervention: mTORi vs initial CNI
Asia‐OPTIMIZE 2019 Wrong intervention: reduced or standard dose after 4 weeks, no initial immunosuppression
ASSET 2012 Wrong intervention: reduced dose at 4 weeks, mTORi
ATHENA 2016 Wrong intervention: mTORi
Azevedo 2016 Wrong population: none at high risk of DGF
Baboolal 2003 Wrong intervention: intervention not in initial immunosuppression
Bang 2020 Wrong population: none at high risk of DGF
Bertoni 2011 Wrong population: none at high risk of DGF
BEST 2020 Wrong intervention: CNI avoidance
Bromberg 2011 Wrong population: none at high risk of DGF
Budde 2007 Wrong intervention: low vs standard after 1 month, not as initial immunosuppression
Burkhalter 2012 Wrong intervention: intervention at 3 months, not initial immunosuppression
CAESAR 2007 Wrong population: none at high risk of DGF
Cai 2014 Wrong population: none at high risk of DGF
CAMPASIA 2005 Wrong population: none at high risk of DGF
Chadban 2013 Wrong population: none at high risk of DGF
Chan 2008 Wrong population: none at high risk of DGF
Chan 2012 Wrong population: none at high risk of DGF
Cibrik 2007 Wrong population: none at high risk of DGF
CIS 2014 Wrong population: none at high risk of DGF
Cockfield 2019 Wrong population: none at high risk of DGF
CRADLE 2018 Wrong intervention: conversion to mTORi, at 4 to 6 weeks
David‐Neto 2014 Wrong intervention: conversion to mTORi at 1 month
de Sevaux 2001 Wrong population: approximately 30% of living donors; no separate results for deceased donors
DICAM 2010 Wrong intervention: intervention after 2 years, not initial immunosuppression
EVEREST 2009 Wrong population: none at high risk of DGF
Fangmann 2010 Wrong population: none at high risk of DGF
Ferguson 2006 Wrong population: none at high risk of DGF
Fleming 2016 Wrong intervention: mTORi conversion at 6 to 24 weeks
Fricke 2009 Wrong intervention: intervention at 3 months after transplantation, not initial immunosuppression
Ghadimi 2018 Wrong population: none at high risk of DGF
Ghafari 2007 Wrong population: none at high risk of DGF
HERAKLES 2018 Wrong intervention: intervention at 3 months, not initial immunosuppression
IRCT201604253043N11 Wrong population: none at high risk of DGF
Jindal 2002 Wrong intervention: intervention at 3 months after transplantation, not initial immunosuppression
Kamar 2012 Wrong intervention: intervention at 3 months after transplantation, not initial immunosuppression
Lee 2017 Wrong population: none at high risk of DGF
Liu 2007b Wrong intervention: no delayed/early CNI, no low/standard dose as intervention
Lo 2003 Wrong intervention: CNI avoidance
Maamoun 2010 Wrong population: none at high risk of DGF
Maiorano 2006 Wrong population: none at high risk of DGF
Margreiter 2008 Wrong population: none at high risk of DGF
MODIFY 2012 Wrong population: none at high risk of DGF
Muhlbacher 2014 Wrong intervention: intervention at 1month, not initial immunosuppression
Nashan 2004 Wrong population: none at high risk of DGF
NCT00470665 Wrong intervention: CsA vs TAC
NCT00681213 Wrong intervention: mTORi
NCT01895049 Wrong intervention: mTORi vs MMF
NCT03644485 Wrong intervention: conversion from Prograf to Advagraf
NEVERWOUND 2020 Wrong intervention: mTORi
Novoa 2011 Wrong intervention: CNI elimination
Oh 2015 Wrong intervention: intervention at 1 week after transplantation, no initial immunosuppression
OPTICEPT 2009 Wrong population: none at high risk of DGF
OPTIMA‐TX 2008 Wrong intervention: not initial immunosuppression
OPTIMUM 2018 Wrong intervention: not initial immunosuppression
Pankewycz 2011 Wrong intervention: intervention at 3 months after transplantation, not initial immunosuppression
Paoletti 2012 Wrong population: none at high risk of DGF
Pascual 2003 Wrong intervention: intervention 1 year after transplantation
Qazi 2017 Wrong population: none at high risk of DGF
REFERENCE 2006 Wrong intervention: intervention 1 year after transplantation, not initial immunosuppression
Russ 2003 Wrong population: none at high risk of DGF
Salvadori 2007 Wrong intervention: intervention 1 year after transplantation, not initial immunosuppression
Saunders 2003 Wrong intervention: mTORi
Shetty 2015 Wrong population: none at high risk of DGF
SLOW & LOW 2023 Wrong population: none at high risk of DGF
SOCRATES 2014 Wrong intervention: intervention 2 weeks after transplantation, not initial immunosuppression
Stallone 2005 Wrong population: none at high risk of DGF
Stevens 2008 Wrong intervention: intervention after 6 months of transplantation, not initial immunosuppression
SYMPHONY 2007 Wrong population: none at high risk of DGF
Takahashi 2013a Wrong population: none at high risk of DGF
Tang 2006 Wrong population: none at high risk of DGF
Tedesco‐Silva 2010 Wrong population: none at high risk of DGF
TRANSFORM 2013 Wrong population: none at high risk of DGF
Zheng 2022 Wrong intervention: intervention after 4 weeks of transplantation, not initial immunosuppression

CNI: calcineurin inhibitor; DGF: delayed graft function; MMF: mycophenolate mofetil; mTORi: mammalian target of rapamycin inhibitor

Characteristics of ongoing studies [ordered by study ID]

OPTIMIZE 2021.

Study name RCT comparing Immunosuppressive regimens in elderly renal transplant recipients (OPTIMIZE)
Methods Study design
  • Parallel RCT

  • Planned duration:2019 to 2026

  • Mean duration of follow‐up: 24 months

  • Country: Belgium and the Netherlands (7 sites)

  • Recruitment status: active, not recruiting

Participants Study characteristics
  • Inclusion criteria: written informed consent; male or female subject ≥ 65 years; randomised within 24 hours of completion of transplant surgery

    • Stratum A: recipient of a primary (or secondary, if first graft is not lost due to immunological reasons) kidney transplant from a deceased donor aged 65 years or older

    • Stratum B: recipient of a primary (or secondary, if first graft is not lost due to immunological reasons) kidney transplant from a deceased donor aged below 65 years or a living donor of any age

  • Exclusion criteria: multi‐organ transplant recipient; blood group ABO incompatible allograft or CDC cross‐match positive transplant; at high immunological risk for rejection as determined by local practice for assessment of anti‐donor reactivity; cold ischaemia time > 24 hours; HLA‐identical related living donor; known intolerability for one or more of the study drugs; HIV positive; hepatitis B surface antigen and/or a HCV positive subject with evidence of elevated liver function tests (ALT/AST levels ≥ 2.5 times ULN). Viral serology results obtained within 6 months prior to randomisation are acceptable; recipient of a kidney from a donor who tests positive for HIV, hepatitis B surface antigen or anti‐hepatitis C virus; severe systemic infections, current or within the two weeks prior to randomisation; severe restrictive or obstructive pulmonary disorders; severe hypercholesterolaemia or hypertriglyceridemia that cannot be controlled; white blood cell count ≤ 2,000/mm3 or with platelet count ≤ 50,000/mm3

  • Planned enrolment: 374

Interventions Group 1: low TAC + EVE
Group 2: standard TAC + MMF
Co‐interventions (all groups)
  • Basiliximab induction, steroid tapering

Outcomes Primary outcome
  • Successful transplantation (absence of graft or patient loss with eGFR > 30)


Secondary outcomes
  • Death

  • Graft loss

  • Acute rejection

  • eGFR

  • Adverse events

Starting date Actual: July 2019
Date of registration: 9 January 2019
Contact information S. E. de Boer
s.e.de.boer@umcg.nl
Notes Co‐funding by Chiesi Pharmaceuticals

Differences between protocol and review

Although we initially planned to include cohort studies due to an expected reduced number of RCTs, we decided before data extraction to only include RCTs to improve the evidence quality.

Contributions of authors

  1. Draft the protocol: LO, SC, EM, JMC, AC, AF, AM, NL, CC, PLV, NM

  2. Study selection: LO, EM, SC

  3. Data extraction: LO, NM

  4. Enter data into RevMan: LO, NM

  5. Conduct the analysis: LO, AR, NM

  6. Interpret the analysis: LO, NM

  7. Draft the final review: LO, SC, EM, AR, JMC, AC, AF, AM, NL, CC, PLV, NM

  8. Disagreement resolution: NM

  9. Update the review: LO, NM

Sources of support

Internal sources

  • No internal sources of support, Other

    N/A

External sources

  • Instituto de Salud Carlos III, Spain

    EM, AM, JMC, and NM have received funding: ISCIII‐FEDER RD21/0005/0001

Declarations of interest

  • Laia Oliveras: no relevant interests were disclosed

  • Pamela López‐Vargas: no relevant interests were disclosed

  • Edoardo Melilli: no relevant interests were disclosed

  • Sergi Codina: no relevant interests were disclosed

  • Ana Royuela: no relevant interests were disclosed

  • Ana Coloma López: no relevant interests were disclosed

  • Alexandre Favà: no relevant interests were disclosed

  • Anna Manonelles: no relevant interests were disclosed

  • Núria Lloberas: no relevant interests were disclosed

  • Carlos Couceiro: no relevant interests were disclosed

  • Josep M Cruzado: no relevant interests were disclosed

  • Nuria Montero: no relevant interests were disclosed

New

References

References to studies included in this review

Andres 2009 {published data only}

  1. Andres A, Marcen R, Sanchez J, Valdes F, Errasti P, Sola R, et al. Comparative study of three different patterns of immunosuppression based on induction with basiliximab and low initial doses or delayed initiation of Neoral in kidney transplant recipients at high risk of delayed graft function [abstract no: 1629]. American Journal of Transplantation 2005;5(Suppl 11):570. [CENTRAL: CN-00644164] [Google Scholar]
  2. Andres A, Marcen R, Valdes F, Plumed JS, Sola R, Errasti P, et al. A randomized trial of basiliximab with three different patterns of cyclosporin A initiation in renal transplant from expanded criteria donors and at high risk of delayed graft function. Clinical Transplantation 2009;23(1):23-32. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  3. Marcen R, Andres A, Sanchez-Plumed J, Valdes F, Errasti P, Sola R, et al. A randomized study to compare immunosuppression based on basiliximab induction and low initial doses or delayed neoral in kidney transplant recipients at high risk for delayed graft function [abstract no: PO-266]. Transplant International 2005;18(Suppl 1):114. [CENTRAL: CN-01657274] [Google Scholar]

Bechstein‐193 2013 {published data only}

  1. Bechstein W, Paczek L, the European Rapamune-FK Study Group. A phase II, open-label, concentration-controlled, randomized 6-month study of standard-dose tacrolimus + sirolimus + corticosteroids compared to reduced-dose tacrolimus + sirolimus + corticosteroids in renal allograft recipients [abstract no: 1321]. American Journal of Transplantation 2002;2(Suppl 3):471. [CENTRAL: CN-00415252] [Google Scholar]
  2. Bechstein WO, Paczek L, Wramner L, Squifflet JP, Zygmunt AJ, European Rapamune Tacrolimus Study Group. A comparative, randomized trial of concentration-controlled sirolimus combined with reduced-dose tacrolimus or standard-dose tacrolimus in renal allograft recipients. Transplantation Proceedings 2013;45(6):2133-40. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  3. Bechstein WO, Paczek L, Wramner L, Squifflet JP, the European Sirolimus-Tacrolimus Study Group. An open-label, concentration-controlled, randomised 6-month study of standard-dose tacrolimus + sirolimus + steroids compared to reduced-dose tacrolimus + sirolimus + steroids in renal allograft recipients [abstract no: W379]. Nephrology Dialysis Transplantation 2003;18(Suppl 4):785. [CENTRAL: CN-00444369] [Google Scholar]
  4. Cockfield S, Whelchel J, MacDonald A. An open-label, concentration-controlled, randomized, 6-month study of standard-dose tacrolimus + sirolimus + corticosteroids compared to reduced-dose tacrolimus + sirolimus + corticosteroids in renal allograft recipients [abstract no: 1021]. American Journal of Transplantation 2002;2(Suppl 3):395. [CENTRAL: CN-00420821] [Google Scholar]
  5. Paczek L, Bechstein W, Wramner L, Squifflet JP. A phase II, open-label, concentration-controlled, randomized 6-month study of standard-dose tacrolimus + sirolimus + corticosteroids compared to reduced-dose tacrolimus + sirolimus + corticosteroids in renal allograft recipients [abstract no: 170]. In: XIXth International Congress of the Transplantation Society; 2002 Aug 25-30; Miami (FL). 2002. [CENTRAL: CN-01912222]
  6. Paczek L, Bechstein WO, Wramner L, Squifflet JP, the European Sirolimus-Tacrolimus Study Group. An open-label, concentration-controlled, randomised 6-month study of standard-dose tacrolimus + sirolimus +steroids compared to reduced-dose tacrolimus + sirolimus + steroids in renal allograft recipients [abstract no: 1219]. American Journal of Transplantation 2003;3(Suppl 5):464. [CENTRAL: CN-01912354] [Google Scholar]
  7. Whelchel J, Paczek L, Bechstein WO, Russ G. A regimen of sirolimus and reduced-dose tacrolimus results in improved renal allograft function: combined analysis of the North American target, European and Australian sirolimus-tacrolimus trials [abstract no: 1218]. American Journal of Transplantation 2003;3(Suppl 5):464. [CENTRAL: CN-00448351] [Google Scholar]

Charpentier 2002 {published data only}

  1. Charpentier B, Rostaing L, Berthoux F, Lang P, Civati G, Touraine JL, et al. A three-arm study comparing immediate tacrolimus therapy with antithymocyte globulin induction therapy followed by tacrolimus or cyclosporine A in adult renal transplant recipients. Transplantation 2003;75(6):844-51. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  2. Charpentier B, European Tacrolimus vs Microemulsified Cyclosporin Study Group. A three arm study comparing immediate tacrolimus therapy with ATG induction therapy followed by either tacrolimus or cyclosporine in adult renal transplant recipients. Transplantation Proceedings 2002;34(5):1625-6. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  3. Rostaing L, the Tacrolimus Versus Microemulsified Cyclosporine Study Group. Comparison of ATG induction followed by tacrolimus therapy with ATG induction followed by cyclosporine therapy, and immediate tacrolimus-based triple therapy [abstract no: A4786]. Journal of the American Society of Nephrology 2001;12(Program & Abstracts):916A. [CENTRAL: CN-00433645] [Google Scholar]

Hernandez 2007 {published data only}

  1. Hernandez D, Miquel R, Porrini E, Fernandez A, Gonzalez-Posada JM, Hortal L, et al. Randomized controlled study comparing reduced calcineurin inhibitors exposure versus standard cyclosporine-based immunosuppression. Transplantation 2007;84(6):706-14. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  2. Miquel R, Fernandez A, Checa D, Javier G, Esteban P, Armando T, et al. Efficacy and safety of low toxicity (LT) immunosuppressive therapies in renal transplantation (RT) [abstract no: F-PO1074]. Journal of the American Society of Nephrology 2004;15(Oct):300A. [Google Scholar]

Kyllonen 2002 {published data only}

  1. Kyllonen L, Eklund B, Matinlauri I, Salmela K. Induction with single bolus ATG or basiliximab in cadaveric kidney transplantation with cyclosporin immunosuppression [abstract no: 2330]. Transplantation 2002;74(4 Suppl):466. [CENTRAL: CN-00401573] [Google Scholar]
  2. Kyllonen LE, Eklund BH, Pesonen EJ, Salmela KT. Single bolus antithymocyte globulin versus basiliximab induction in kidney transplantation with cyclosporine triple immunosuppression: efficacy and safety. Transplantation 2007;84(1):75-82. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  3. Matinlauri IH, Kyllonen LE, Eklund BH, Koskimies SA, Salmela KT. Weak humoral posttransplant alloresponse after a well-HLA-matched cadaveric kidney transplantation. Transplantation 2004;78(2):198-204. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  4. Matinlauri IH, Kyllonen LE, Salmela KT, Helin H, Pelzl S, Susal C. Serum sCD30 in monitoring of alloresponse in well HLA-matched cadaveric kidney transplantations. Transplantation 2005;80(12):1809-12. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  5. Turunen AJ, Fernandez JA, Lindgren L, Salmela KT, Kyllonen LE, Makisalo H, et al. Activated protein C reduces graft neutrophil activation in clinical renal transplantation. American Journal of Transplantation 2005;5(9):2204-12. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  6. Turunen AJ, Lindgren L, Salmela KT, Kyllonen LE, Makisalo H, Siitonen SM, et al. Association of graft neutrophil sequestration with delayed graft function in clinical renal transplantation. Transplantation 2004;77(12):1821-6. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]

Lebranchu 2002 {published data only}

  1. Lebranchu Y, Bridoux F, Buchler M, Le Meur Y, Etienne I, Toupance O, et al. Immunoprophylaxis with basiliximab compared with antithymocyte globulin in renal transplant patients receiving MMF-containing triple therapy. American Journal of Transplantation 2002;2(1):48-56. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]

Mourad 2005 {published data only}

  1. Budde K, Zeier M, Cohen D, Kirchherr B, MyProms Study Group. How much exposure is needed in the first week in patients receiving induction with basiliximab and enteric coated mycophenolate sodium? [abstract no: 1206]. American Journal of Transplantation 2005;5(Suppl 11):464. [CENTRAL: CN-00602063] [Google Scholar]
  2. Kamar N, Garrigue V, Karras A, Mourad G, Lefrancois N, Charpentier B, et al. Impact of early or delayed cyclosporine on delayed graft function in renal transplant recipients: a randomized, multicenter study. American Journal of Transplantation 2006;6(5 Pt 1):1042-8. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  3. Legendre C, Cohen D, Zeier M, Rostaing L, Budde K. Efficacy and safety of enteric-coated mycophenolate sodium in de novo renal transplant recipients: pooled data from three 12-month multicenter, open-label, prospective studies. Transplantation Proceedings 2007;39(5):1386-91. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  4. Legendre CH, Rostaing L, Kirchherr B, MyProms Study Group. Tolerability of enteric coated mycophenolate sodium (EC-MPS) in combination with Neoral and steroids in de novo kidney transplant recipients: a 12 months prospective trial [abstract no: 1209]. American Journal of Transplantation 2005;5(Suppl 11):464-5. [CENTRAL: CN-00602066] [Google Scholar]
  5. Mourad G, Karras A, Kamar N, Garrigue V, Legendre C, Lefrancois N, et al. Renal function with delayed or immediate cyclosporine microemulsion in combination with enteric-coated mycophenolate sodium and steroids: results of follow up to 30 months post-transplant. Clinical Transplantation 2007;21(3):295-300. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  6. Mourad G, Rostaing L, Legendre C. Assessment of two strategies of neoral® administration, early versus delayed, on renal function and efficacy in de novo renal transplant patients receiving Myfortic®, steroids and anti-IL2r antibodies: 6 months interim results [abstract no: P723]. Transplantation 2004;78(2 Suppl):454. [CENTRAL: CN-00509366] [DOI] [PubMed] [Google Scholar]
  7. Mourad G, Rostaing L, Legendre Ch, Myriade FR01 Study Group. Assessment of two strategies of neoral administration, early versus delayed, on renal function and efficacy in de novo renal transplant patients receiving Myfortic, steroids, and anti-IL2R antibodies: 12-month results of a randomized, multicentre, open, prospective controlled study. Transplantation Proceedings 2005;37(2):920-2. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  8. Mourad G, Rostaing, Rostaing L, Legendre C. Assessment of two neoral® administration strategies on renal function and efficacy in de novo renal transplant patients receiving enteric-coated mycophenolate sodium, steroids and anti-il2r antibodies: 6 months interim analysis of a randomized, multicentre, open, prospective controlled study [abstract no: 224]. American Journal of Transplantation 2004;4(Suppl 8):219. [CENTRAL: CN-00509367] [DOI] [PubMed] [Google Scholar]
  9. Pietruck F, Budde K, Salvadori M, Sollinger H, Bourbigot B, Gentil MA, et al. Efficacy and safety of enteric-coated mycophenolate sodium in renal transplant patients with diabetes mellitus: post hoc analyses from three clinical trials. Clinical Transplantation 2007;21(1):117-25. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  10. Rostaing L, Legendre CH, Cohen D, Budde K, Zeier M, Kirchherr B, et al. Safety and tolerability of enteric coated mycophenolate sodium in combination with neoral and steroids in de novo kidney transplant recipients: 12 months analysis of a prospective trial [abstract no: T-PO50030]. Nephrology 2005;10(Suppl 1):A215. [Google Scholar]
  11. Rostaing L, Mourad G, Kamar N, Garrigue V, Karras A, Lefrancois N, et al. Tolerability of enteric-coated mycophenolate sodium to 1 year in combination with cyclosporine and corticosteroids in renal transplant recipients. Transplantation Proceedings 2006;38(9):2860-3. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  12. Rostaing L, Mourad G, Legendre C. Safety and tolerability of enteric-coated mycophenolate sodium in combination with steroids and two regimen of Neoral®, in denovo kidney transplant recipients: 6 months interim results. A randomized, multicentre, open, prospective controlled study [abstract no: 222]. American Journal of Transplantation 2004;4(Suppl 8):219. [CENTRAL: CN-00583362] [Google Scholar]
  13. Rostaing L, Mourad G, Legendre C. Sustainable tolerability effects of Myfortic® in combination with neoral® and steroids at 12 months, in de novo kidney transplantation: a randomized, multicentre, open, prospective controlled study [abstract no: 133]. American Journal of Transplantation 2005;5(Suppl 11):190. [CENTRAL: CN-01657135] [Google Scholar]

Noel 2009 {published data only}

  1. Alloway RR, Woodle ES, Abramowicz D, Segev DL, Castan R, Ilsley JN, et al. Rabbit anti-thymocyte globulin for the prevention of acute rejection in kidney transplantation. American Journal of Transplantation 2019;19(8):2252-61. [MEDLINE: ] [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Hellemans R, Hazzan M, Durand D, Mourad G, Lang P, Kessler M, et al. Daclizumab versus rabbit antithymocyte globulin in high-risk renal transplants: Five-year follow-up of a randomized study. American Journal of Transplantation 2015;15(7):1923-32. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  3. Noel C, Abramowicz D, Durand D, Mourad G, Lang P, Kessler M, et al. Daclizumab versus antithymocyte globulin in high-immunological-risk renal transplant recipients. Journal of the American Society of Nephrology 2009;20(6):1385-92. [MEDLINE: ] [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Noel C, Abramowicz D, Durand D, Mourad G, Lang P, Kessler M, et al. Daclizumab versus thymoglobulin in renal transplant recipients with a high immunological risk: a French and Belgian prospective randomized trial [abstract no: 331]. American Journal of Transplantation 2007;7(Suppl 2):233. [CENTRAL: CN-00644178] [Google Scholar]

OSAKA 2013 {published data only}

  1. Albano L, Banas B, Kamar N. Outcomes with tacrolimus-based immunosuppression after kidney transplantation with standard-or extended criteria donor organs: the OSAKA study [abstract no: O108]. Transplant International 2013;26(Suppl 2):59. [EMBASE: 71359172] [Google Scholar]
  2. Albano L, Banas B, Kamar N. Safety and renal function in tacrolimus prolonged release vs tacrolimus immediate release-based therapy in renal transplantation – The OSAKA Study [abstract no: 316]. American Journal of Transplantation 2011;11(Suppl 2):125. [EMBASE: 70405351] [Google Scholar]
  3. Albano L, Banas B, Klempnauer JL, Glyda M, Viklicky O, Kamar N. OSAKA trial: a randomized, controlled trial comparing tacrolimus QD and BD in kidney transplantation. Transplantation 2013;96(10):897-903. [MEDLINE: ] [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Albano L, Banas B, Lehner F, Glyda M, Viklicky O, Schleibner S, et al. Outcomes with tacrolimus-based immunosuppression after kidney transplantation from standard- and extended-criteria donors - a post hoc analysis of the prospective OSAKA study. Annals of Transplantation 2020;25:e920041. [MEDLINE: ] [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Albano L, Banas B, Rostaing L. Efficacy and optimised dosing in tacrolimus prolonged release vs tacrolimus immediate release-based therapy in renal transplantation – The OSAKA Study [abstract no: 317]. American Journal of Transplantation 2011;11(Suppl 2):125. [EMBASE: 70405352] [Google Scholar]
  6. Banas B, Albano L, Rostaing L. Risk factors for efficacy failure with tacrolimus-based immunosuppression after kidney transplantation – The OSAKA Study [abstract no: TH-PO908]. Journal of the American Society of Nephrology 2011;22(Abstract):321A. [Google Scholar]
  7. Banas B, Boger CA, Lehner F. Efficacy, safety and optimised dosing in tacrolimus prolonged release vs tacrolimus immediate release-based therapy in renal transplantation - the OSAKA study [abstract no: P064]. Transplant International 2011;24(Suppl 2):35. [EMBASE: 70537381] [Google Scholar]
  8. Banas B, Kamar N, Lehner F, Albano L, Glyda M, Viklicky O. Acute rejection in renal transplantation recipients treated with tacrolimus prolonged release-and immediate release-based therapy - The OSAKA study (optimizing immunosuppression after kidney transplantation with Advagraf®) [abstract no: O-140]. Transplant International 2011;24(Suppl 2):38-9. [EMBASE: 70527217] [Google Scholar]
  9. Kamar N, Lehner F, Banas B, Viklicky O, Albano L, Glyda M. Efficacy and safety of tacrolimus prolonged release and immediate release in de novo renal transplantation - The OSAKA study (optimizing immunosuppression after kidney transplantation with Advagraf®) [abstract no: O-141]. Transplant International 2011;24(Suppl 2):39. [EMBASE: 70527218] [Google Scholar]
  10. Kramer BK, Kamar N. Prolonged-release tacrolimus (QD) is non-inferior to immediate-release (BD) tacrolimus using different measures of clinical efficacy: a combined analysis [abstract no: SA-PO938]. Journal of the American Society of Nephrology 2012;23(Abstract Suppl):856A. [Google Scholar]
  11. Lehner F, Banas B, Kamar N, Glyda M, Viklicky O, Albano L. Influence of donor related factors on outcomes with tacrolimus-based immunosuppression after kidney transplantation - The OSAKA study (optimizing immunosuppression after kidney transplantation with Advagraf®) [abstract no: RO-126]. Transplant International 2011;24(Suppl 2):164-5. [EMBASE: 70527655] [Google Scholar]

SENIOR 2009 {published data only}

  1. Andres A, Budde K, Clavien PA, Becker T, Kessler M, Pisarski P, et al. A randomized trial comparing renal function in older kidney transplant patients following delayed versus immediate tacrolimus administration. Transplantation 2009;88(9):1101-8. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]

Thomas 2007 {published data only}

  1. Thomas PG, Woodside KJ, Lappin JA, Vaidya S, Rajaraman S, Gugliuzza KK. Alemtuzumab (Campath 1H) induction with tacrolimus monotherapy Is safe for high immunological risk renal transplantation. Transplantation 2007;83(11):1509-12. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]

Wilson 2005 {published data only}

  1. Wilson CH, Brook NR, Gok MA, Asher JF, Nicholson ML, Talbot D. Randomized clinical trial of daclizumab induction and delayed introduction of tacrolimus for recipients of non-heart-beating kidney transplants. British Journal of Surgery 2005;92(6):681-7. [DOI: 10.1002/bjs.4976] [PMID: ] [DOI] [PubMed] [Google Scholar]

References to studies excluded from this review

3C 2014 {published data only}

  1. Haynes R, Harden P, Landray M, Baigent C, Friend P. Results of a large randomized controlled trial of alemtuzumab-versus basiliximab-based induction therapy in kidney transplantation [abstract no: 2986]. Transplantation 2014;98(Suppl 1):155. [EMBASE: 71544012] [Google Scholar]

Alexander 2006 {published data only}

  1. Alexander JW, Goodman HR, Cardi M, Austin J, Goel S, Safdar S, et al. Simultaneous corticosteroid avoidance and calcineurin inhibitor minimization in renal transplantation. Transplant International 2006;19(4):295-302. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]

ALLEGRO 2018 {published data only}

  1. Sanders J, Gomes-Neto A, Dijk MV, Sandwijk MV, De Fijter H, Homan van der Heide JJ. Early steroid withdrawal or tacrolimus minimization versus standard immunosuppression in renal transplant recipients: the ALLEGRO trial. American Journal of Transplantation 2018;18(Suppl 4):792. [EMBASE: 622279948] [Google Scholar]
  2. Sandwijk MS, Vries AP, Bakker SJ, Ten Berge IJ, Berger SP, Bouatou YR, et al. Early steroid withdrawal compared with standard immunosuppression in kidney transplantation - interim analysis of the Amsterdam-Leiden-Groningen randomized controlled trial. Transplantation Direct 2018;4(6):e354. [MEDLINE: ] [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. den Born JC, Meziyerh S, Vart P, Bakker SJ, Berger SP, Florquin S, et al. Comparison of 2 immunosuppression minimization strategies in kidney transplantation: the ALLEGRO Trial. Transplantation 2024;108(2):556-66. [PMID: ] [DOI] [PubMed] [Google Scholar]

APOLLO 2015 {published data only}

  1. Arns W, Rath T, Sommerer C, Reinke P, Haller H, Suwelack B, et al. Outcome on renal function of an everolimus based therapy after calcineurin inhibitor withdrawal in maintenance renal transplant recipients: 5 year data of the APOLLO trial. Transplantation 2014;98(Suppl 1):145. [EMBASE: 71543988] [Google Scholar]
  2. Arns W, Reinke P, Sommerer C, Haller HG, Witzke O, Suwelack BM, et al. APOLLO after 4 years: outcome on renal function of an everolimus based therapy after calcineurin inhibitor withdrawal in maintenance renal transplant recipients [abstract no: SA-PO1003]. Journal of the American Society of Nephrology 2013;24(Abstract Suppl):857A. [Google Scholar]
  3. Budde K, Rath T, Sommerer C, Haller H, Reinke P, Witzke O, et al. Renal, efficacy and safety outcomes following late conversion of kidney transplant patients from calcineurin inhibitor therapy to everolimus: the randomized APOLLO study. Clinical Nephrology 2015;83(1):11-21. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  4. Budde K, Rath T, Suwelack BM, Reinke P, Haller HG, Witzke O, et al. 5 year data of the APOLLO trial: outcome on renal function of an everolimus based therapy after calcineurin inhibitor withdrawal in maintenance renal tranplant recipients [abstract no: FR-PO407]. Journal of the American Society of Nephrology 2014;25(Abstract Suppl):464A. [Google Scholar]
  5. Budde K, Sommerer C, Haller H, Arns W, Kramer S, Vogel EM, et al. Renal function of an everolimus based therapy after calcineurin inhibitor withdrawal in maintenance renal transplant recipients: 2 year data of the APOLLO trial [abstract]. American Journal of Transplantation 2011;11(Suppl 2):411. [EMBASE: 70406356] [Google Scholar]
  6. Budde K, Sommerer C, Haller H, Suwelack B, May C, Paulus E, et al. Renal function of an everolimus based therapy after calcineurin inhibitor withdrawal in maintenance renal transplant recipients: 3 year data of the APOLLO trial [abstract no: 928]. American Journal of Transplantation 2012;12(Suppl S3):298. [EMBASE: 70746881] [Google Scholar]
  7. Budde K, Sommerer C, Rath T, Reinke P, Haller H, Witzke O, et al. Renal function to 5 years after late conversion of kidney transplant patients to everolimus: a randomized trial. Journal of Nephrology 2015;28(1):115-23. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  8. Budde K, Sommerer C, Reinke P, Haller H, Arns W, Witzke O, et al. Outcome on renal function of an everolimus based therapy after calcineurin inhibitor withdrawal in maintenance renal transplant recipients: 4 year data of the APOLLO Trial [abstract]. American Journal of Transplantation 2013;13(Suppl 5):311-2. [EMBASE: 71057512] [Google Scholar]
  9. Budde K, Zeier M, Haller H, Arns W, Kramer S, Vogel EM, et al. Renal function of an everolimus based therapy after calcineurin inhibitor withdrawal in maintenance renal transplant recipients [abstract no: 1639]. American Journal of Transplantation 2010;10(Suppl 4):504. [EMBASE: 70465014] [Google Scholar]
  10. Haller H, Rath T, Zeier M, Arns W, Kramer S, Vogel E, et al. Renal function of an everolimus based therapy after calcineurin inhibitor withdrawal in maintenance renal transplant recipients [abstract no: Sa645]. NDT Plus 2010;3(Suppl 3):iii259. [EMBASE: 70484111] [Google Scholar]
  11. Rath T, Budde K, Sommerer C, Arns W, Kramer S, Vogel E, et al. Renal function of an everolimus based therapy after calcineurin inhibitor withdrawal in maintenance renal transplant recipients one year after conversion [abstract]. Transplantation 2010;90(Suppl 1):612. [EMBASE: 71532269] [Google Scholar]
  12. Reinke P, Haller H, Rath T, Arns W, Paulus E, Scheidf S, et al. Two year data of the APOLLO trial: Renal function of an everolimus based therapy after calcineurin inhibitor withdrawal in maintenance renal transplant recipients [abstract]. Transplant International 2011;24:50. [EMBASE: 70537441] [Google Scholar]
  13. Reinke P, Sommerer C, Arns W, Haller HG, Witzke O, Rath T, et al. Results of the APOLLO trial: renal function of an everolimus based therapy after 3 years of calcineurin inhibitor withdrawal in maintenance renal transplant recipients [abstract no: TH-PO1040]. Journal of the American Society of Nephrology 2012;23(Abstract Suppl):340A. [Google Scholar]
  14. Rhat T, Sommerer C, Haller H, Reinke P, Witzke O, Suwelack B, et al. Outcome on renal function of everolimus conversion in maintenance KTX patients: 4 years APOLLO trial [abstract no: P271]. Transplant International 2013;26(Suppl 2):240. [EMBASE: 71359891] [Google Scholar]
  15. Sommerer C, Budde K, Arns W, Kramer S, Vogel E, Pietruck FB, et al. Renal function of an everolimus based therapy after calcineurin inhibitor withdrawal in maintenance renal transplant recipients one year after conversion [abstract no: SA-PO3036]. Journal of the American Society of Nephrology 2010;21(Abstract Suppl):804A. [Google Scholar]
  16. Sommerer C, Rath T, Budde K, Haller H, Arns W, Scheidl S, et al. Renal function of an everolimus based therapy after calcineurin inhibitor withdrawal in maintenance renal transplant recipients: 2 year follow-up data of the APOLLO trial [abstract]. Transplant International 2011;24(Suppl 2):180. [EMBASE: 70527714] [Google Scholar]
  17. Sommerer C, Rath T, Haller H, Arns W, Suwelack B, Reinke P, et al. 4 Year data of the APOLLO trial: Outcome on renal function of an everolimus based therapy after calcineurin inhibitor withdrawal in maintenance renal transplant recipients [abstract no: V79]. Transplant International 2013;26(Suppl 1):21. [EMBASE: 71356263] [Google Scholar]

ASCERTAIN 2011 {published data only}

  1. Holdaas H, Midtvedt K, Seron D, O'Connell P, Thiagarajan CM, Fassett R, et al. Everolimus in maintenance renal transplant recipients: the ASCERTAIN Study [abstract no: P-309]. Transplant International 2009;22(Suppl 2):172. [CENTRAL: CN-01657278] [Google Scholar]
  2. Holdaas H, Midtvedt K, Seron D, O'Connell P, Thiagrajan C, Fassett R, et al. Assessment of everolimus in maintenance renal transplant recipients: the ASCERTAIN Study [abstract no: 1646]. Transplantation 2008;86(Suppl 2):546. [CENTRAL: CN-00740482] [Google Scholar]
  3. Holdaas H, Rostaing L, Seron D, Cole E, Chapman J, Fellstrom B, et al. Conversion of long-term kidney transplant recipients from calcineurin inhibitor therapy to everolimus: a randomized, multicenter, 24-month study. Transplantation 2011;92(4):410-8. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  4. Holdaas H. Long-term post transplantation switch to an everolimus-based therapy with CNI elimination/minimization does not overall impact graft function: The ASCERTAIN study [abstract]. Transplantation 2010;90(Suppl 1):343. [EMBASE: 71531744] [Google Scholar]
  5. O'Connell P, Fassett R, Pilmore H, Chapman J, Hutchison B, Russ G, et al. Long-term post transplantation switch to an everolimus-based therapy with CNI elimination/minimization does not overall impact graft function: the ASCERTAIN study [abstract no: 8]. In: Transplantation Society of Australia & New Zealand (TSANZ). 29th Annual Scientific Meeting 2011 June 29-Jul 1, Canberra, ACT. 2011:42. [CENTRAL: CN-01658634]
  6. O'Connell P, Fassett R, Pilmore H, Chapman J, Hutchison B, Russ G, et al. Post-hoc analysis of the ASCERTAIN trial: everolimus based therapy with CNI elimination improves renal function in select populations [abstract no: 7]. In: Transplantation Society of Australia & New Zealand (TSANZ). 29th Annual Scientific Meeting 2011 June 29-Jul 1, Canberra, ACT. 2011:41. [MEDLINE: ]
  7. O'Connell PJ, Rostaing L, Holdaas H. Post-hoc analysis of the ASCERTAIN trial indicate that everolimus based therapy with CNI elimination improves renal function in select populations [abstract]. Transplantation 2010;90(Suppl 1):935. [EMBASE: 71532937] [Google Scholar]
  8. Rostaing L, Fassett R, Dantal J, Binet I, O'Connell P, Machein U, et al. Risk factor analysis for renal function outcome in maintenance renal transplant recipients from the ASCERTAIN study [abstract]. American Journal of Transplantation 2011;11(Suppl 2):44-5. [EMBASE: 70405088] [Google Scholar]
  9. Rostaing L, O'Connell P, Holdaas H. Everolimus ASCERTAIN: multivariate analyses identified high baseline GFR as a major factor for improving renal function [abstract no: SA-PO3067]. Journal of the American Society of Nephrology 2010;21(Abstract Suppl):811A. [Google Scholar]

Asher 2014 {published data only}

  1. Asher J, Vasdev N, Wyrley-Birch H, Wilson C, Soomro N, Rix D, et al. A prospective randomised paired trial of sirolimus versus tacrolimus as primary immunosuppression following non-heart beating donor kidney transplantation. Current Urology 2014;7(4):174-80. [MEDLINE: ] [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Wyrley-Birch H, Kanwar A, Dakshinamoorty V, Navarro A, Reddy M, Asher J, et al. A prospective randomised paired trial of sirolimus versus tacrolimus as primary immunosuppression following non heart beating donor kidney transplantation [abstract no: O41]. In: British Transplantation Society (BTS).13th Annual Congress; 2010 Mar 17-19; Kensington, UK. 2010.
  3. Wyrley-Birch H, Kanwar A, Vijayanand D, Ray C, Moir J, Navarro A, et al. Early results from a trial comparing sirolimus with tacrolimus as primary immunosuppression for recipients of non heart beating donor (NHBD) kidneys after anti-IL2 monoclonal antibody [abstract no: P-580]. Transplant International 2009;22(Suppl 2):239. [Google Scholar]

Asia‐OPTIMIZE 2019 {published data only}

  1. Kim YH, Chiang YJ, Kim SJ, Kim MS, Park SB, Wu ST, et al. Safety and efficacy of reduced prolonged-release tacrolimus exposure in de novo kidney transplantation: a randomized, open-label, pilot study in Asia-OPTIMIZE study. Transplantation Direct 2019;5(4):e340. [MEDLINE: ] [DOI] [PMC free article] [PubMed] [Google Scholar]

ASSET 2012 {published data only}

  1. Christiaans M, Hene R, Langer R, Tedesco-Silva H, Cassuto E, Vilatoba M, et al. Clinically better renal function with everolimus and very low tacrolimus exposure in de novo renal transplant recipients at 12 months: the ASSET Study [abstract no: 1555]. Transplantation 2010;90(Suppl 1):623. [EMBASE: 71532289] [Google Scholar]
  2. Christiaans M, Langer R, Vitko S, Hene R, Tedesco H, Cassuto E, et al. Everolimus and very low exposure of tacrolimus provides good efficacy in de novo renal transplant recipients (RTxR) at 12 months [abstract no: 375]. American Journal of Transplantation 2010;10(Suppl 4):151. [EMBASE: 70463736] [Google Scholar]
  3. Hene R, Lang RM, Vitko S, Christiaans M, Ciechanowski K, Cassuto E, et al. Efficacy benefit with everolimus and very low tacrolimus exposure in de novo renal transplant recipients: 12 month results of the ASSET Study [abstract no: 1549]. Transplantation 2010;90(Suppl 1):109. [EMBASE: 71531313] [Google Scholar]
  4. Langer R, Christiaans M, Hene R, Vitko S, Tedesco H, Ciechanowski K, et al. Everolimus with low or very low exposure of tacrolimus preserves renal function with good efficacy in de novo renal transplant recipients: the ASSET study [abstract no: SA-PO3066]. Journal of the American Society of Nephrology 2009;20(Abstract Suppl):809A. [Google Scholar]
  5. Langer R. Everolimus plus early tacrolimus minimization: a phase III, randomized, open-label, multicentre trial in renal transplantation. Transplant International 2012;25(5):592-602. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  6. Pascual J, Hene R, Langer R, Christiaans M, Ciechanowski K, Vilatoba M, et al. Preservation of renal function with everolimus and very low tacrolimus exposure in de novo renal transplant recipients (RTxR) at 12 months: the ASSET Study [abstract no: 1633]. American Journal of Transplantation 2010;10(Suppl 4):502. [EMBASE: 70465008] [Google Scholar]
  7. Pascual J, Hene R, Vitko S, Christiaans M, Tedesco-Silva H, Ciechanowski K, et al. Effects of everolimus with very low tacrolimus exposure on the incidence of NODM after renal transplantation in the ASSET Study [abstract no: 1295]. Transplantation 2010;90(Suppl 1):443. [EMBASE: 71531919] [Google Scholar]
  8. Pascual J, Rostaing L, Machein U, Kovarik JM. Pharmacokinetics of everolimus when combined with tacrolimus: results from the ASSET study in de novo renal transplant recipients [abstract no: 931]. American Journal of Transplantation 2012;12(Suppl 3):299. [EMBASE: 70746884] [Google Scholar]
  9. Rostaing L, Christiaans MH, Kovarik JM, Pascual J. The pharmacokinetics of everolimus in de novo kidney transplant patients receiving tacrolimus: an analysis from the randomized ASSET study. Annals of Transplantation 2014;19:337-45. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  10. Rostaing L, Pascual J, Machein U, Kovarik JM. Pharmacokinetics of everolimus when combined with tacrolimus in de novo renal transplant recipients [abstract]. Transplant International 2011;24(Suppl 2):253. [EMBASE: 70527994] [Google Scholar]
  11. Vitko S, Hene R, Langer R, Christiaans M, Tedesco H, Ciechanowski K, et al. Everolimus with low or very low exposure of tacrolimus in de novo renal transplant recipients: the ASSET study [abstract no: O-201]. Transplant International 2009;22(Suppl 2):53. [Google Scholar]

ATHENA 2016 {published data only}

  1. Arns W, Philippe A, Ditt V, Hauser IA, Thaiss F, Sommerer C, et al. Everolimus plus reduced calcineurin inhibitor prevents de novo anti-HLA antibodies and humoral rejection in kidney transplant recipients: 12-month results from the ATHENA study. Frontiers in Transplantation 2023;2:1264903. [PMID: ] [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Dragun D, Sommerer C, Hauser IA, Suwelack BM, Schenker P, Witzke O, et al. Everolimus [EVR]-based versus tacrolimus[TAC]-MPA regimen in de novo kidney transplant recipients: 12 months safety and efficacy data from the ATHENA study [abstract no: SA-PO510]. Journal of the American Society of Nephrology 2017;28(Abstract Suppl):810. [Google Scholar]
  3. Dragun D, Sommerer C, Suwelack B, Schenker P, Hauser I, Witzke O, et al. ATHENA study outcomes on allograft function after 12 months with everolimus-CNI vs tacrolimus-MPA regimen in de novo renal transplant recipients [abstract]. Transplant International 2017;30(Suppl 2):562. [EMBASE: 618769585] [Google Scholar]
  4. Dragun D, Suwelack B, Sommerer C, Hauser IA, Witzke O, Hugo C, et al. Significant anti-CMV/BKV effect of a modern everolimus-based regimen compared to standard tacrolimus-MPA regimen in De novo kidney transplant recipients: ATHENA 12 months data on infections [abstract]. Transplantation 2018;102(7 Suppl 1):S128. [EMBASE: 623701445] [Google Scholar]
  5. Hauser A, Sommerer C, Suwelack B, Dragun D, Witzke O, Hugo C, et al. Significant anti-CMV/BKV effect of a modern everolimus-based regimen comparted to a standard tacrolimus-MPA regimen in de novo kidney transplant recipients: ATHENA 12 months data on infections [abstract]. American Journal of Transplantation 2018;18(Suppl 4):318. [EMBASE: 622280450] [Google Scholar]
  6. Hauser IA, Marx S, Sommerer C, Suwelack B, Dragun D, Witzke O, et al. Differences in CMV-specific CD4 T cell population in de novo kidney transplant recipients treated with everolimus-based regimen compared to a standard tacrolimus-mpa regimen: results from ATHENA [abstract]. American Journal of Transplantation 2019;19(Suppl 3):520. [EMBASE: 628454558] [Google Scholar]
  7. Hauser IA, Sommerer C, Suwelack BM, Dragun D, Schenker P, Witzke O, et al. Significantly less CMV-and BKV-events with everolimus-based versus tacrolimus-MPA regimen in de novo renal transplant recipients: 12 months data on infections from the ATHENA study [abstract no: SA-PO484]. Journal of the American Society of Nephrology 2017;28(Abstract Suppl):803. [EMBASE: 633698843] [Google Scholar]
  8. Kamar N, Merville P, Sommerer C, Suwelack B, Dragun D, Hauser IA, et al. 12 months data on infections from ATHENA study show significantly less CMV-and BKV-events with everolimus-based versus tacrolimus-MPA regimen in de novo renal transplant recipients [abstract]. Transplant International 2018;31(Suppl 1):14. [EMBASE: 619997616] [Google Scholar]
  9. Kamar N, Merville P, Suwelack B, Sommerer C, Dragun D, Hauser IA, et al. 12 months safety and efficacy data from ATHENA study on everolimus-based vs tacrolimus-MPA regimen in de novo kidney transplant recipients [abstract]. Transplant International 2018;31(Suppl 1):25. [EMBASE: 619997548] [Google Scholar]
  10. Merville P, Kamar N, Dragun D, Sommerer C, Suwelack B, Schenker P, et al. 12 months outcomes on allograft function with everolimus-CNI vs tacrolimus-MPA regimen in de novo renal transplant recipients: the ATHENA study [abstract]. Transplant International 2018;31(Suppl 1):15. [EMBASE: 619997638] [Google Scholar]
  11. Nashan B, Sommerer C, Suwelack B, Dragun D, Hauser I, Schenker P, et al. Significantly less CMV-and BKV-events with everolimus-based vs. tacrolimus-MPA regimen in de novo renal transplant recipients: 12 months data on infections from ATHENA study [abstract]. Transplant International 2017;30(Suppl 2):162. [EMBASE: 618769221] [Google Scholar]
  12. Nashan B, Sommerer C, Suwelack B, Dragun D, Hauser IA, Witzke O, et al. The ATHENA study: 12 months safety and efficacy data for everolimus combined with tacrolimus or cyclosporine compared to a standard tacrolimus-mycophenolate regimen in de novo kidney transplant patients [abstract]. Transplantation 2018;102(7 Suppl 1):S279. [EMBASE: 623702422] [Google Scholar]
  13. Nashan B, Sommerer C, Suwelack B, Dragun D, Witzke O, Hugo C, et al. Allograft function after 12 months with everolimus plus either tacrolimus or cyclosporine compared to a standard regimen of tacrolimus with mpa in de novo renal transplant recipients: the ATHENA study [abstract]. American Journal of Transplantation 2018;18(Suppl 4):260. [EMBASE: 622280707] [Google Scholar]
  14. Schenker P, Sommerer C, Suwelack B, Dragun D, Hauser IA, Witzke O, et al. Outcomes on allograft function after 12 months with everolimus plus either tacrolimus or cyclosporine compared to a standard tacrolimus-MPA regimen in de novo renal transplant recipients: the ATHENA study [abstract]. Transplantation 2018;102(7 Suppl 1):S280. [EMBASE: 623702498] [Google Scholar]
  15. Sommerer C, Suwelack B, Dragun D, Hauser I, Schenker P, Baumer D, et al. 12-month ATHENA study: Everolimus versus standard regimen in de novo renal transplant recipients [abstract]. Transplant International 2015;28(Suppl 4):450. [EMBASE: 72112244] [Google Scholar]
  16. Sommerer C, Suwelack B, Dragun D, Hauser I, Schenker P, Witzke O, et al. Everolimus-based vs. tacrolimus-MPA regimen in de novo kidney transplant recipients: 12 months safety and efficacy data from ATHENA study [abstract]. Transplant International 2017;30(Suppl 2):160. [EMBASE: 618768794] [Google Scholar]
  17. Sommerer C, Suwelack B, Dragun D, Schenker P, Hauser IA, Nashan B, et al. Design and rationale of the ATHENA study - a 12-month, multicentre, prospective study evaluating the outcomes of a de novo everolimus-based regimen in combination with reduced cyclosporine or tacrolimus versus a standard regimen in kidney transplant patients: study protocol for a randomised controlled trial. Trials [Electronic Resource] 2016;17(1):92. [MEDLINE: ] [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Sommerer C, Suwelack B, Dragun D, Schenker P, Hauser IA, Witzke O, et al. ATHENA study: outcomes on allograft function after 12 months of modern everolimus-based vs. conservative tacrolimus-MPA regimen in de novo renal transplant recipients [abstract]. Transplant International 2017;30(Suppl 4):20. [EMBASE: 619082507] [Google Scholar]
  19. Sommerer C, Suwelack B, Dragun D, Schenker P, Hauser IA, Witzke O, et al. An open-label, randomized trial indicates that everolimus with tacrolimus or cyclosporine is comparable to standard immunosuppression in de novo kidney transplant patients. Kidney International 2019;96(1):231-44. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  20. Suwelack B, Dragun D, Sommerer C, Schenker P, Hauser IA, Witzke O, et al. Reduced incidence of CMV-events with modern everolimus-based vs conservative tacrolimus-MPA-based regimen in de novo renal transplant recipients: 12 months data on infections from ATHENA study [abstract]. Transplant International 2017;30(Suppl 4):15. [EMBASE: 619082395] [Google Scholar]
  21. Suwelack B, Sommerer C, Dragun D, Witzke O, Hugo C, Kamar N, et al. The ATHENA study: 12 months safety and efficacy data from everolimus combined with tacrolimus or cyclosporine compared to a standard tacrolimus-mycophenolate regimen in de novo kidney transplant patients [abstract]. American Journal of Transplantation 2018;18(Suppl 4):259-60. [EMBASE: 622280671] [Google Scholar]
  22. Thaiss F, Sommerer C, Suwelack B, Dragun D, Hauser IA, Witzke O, et al. European kidney transplant trial ATHENA-patient and allograft outcome by country [abstract]. Transplant International 2018;31(Suppl 5):18. [EMBASE: 625099157] [Google Scholar]
  23. Thaiss F, Sommerer C, Suwelack B, Dragun D, Schenker P, Hauser IA, et al. 12 months data from ATHENA study show comparable safety and efficacy of modern everolimus-based regimen vs. conservative tacrolimus-MPA-based regimen in de novo renal transplant recipients [abstract]. Transplant International 2017;30(Suppl 4):20. [EMBASE: 619082512] [Google Scholar]
  24. Thaiss F, Sommerer C, Suwelack BM, Dragun D, Hauser IA, Schenker P, et al. Design and rationale of ATHENA study:a 12-month study evaluating everolimus versus standard regimen in de novo renal transplant recipients-baseline data [abstract no: FR-PO1067]. Journal of the American Society of Nephrology 2015;26(Abstract Suppl):614a. [Google Scholar]
  25. Thaiss F, Suwelack BM, Sommerer C, Dragun D, Hauser IA, Schenker P, et al. ATHENA study outcomes on allograft function after 12 months with everolimus-based versus tacrolimus-MPA regimen in de novo renal transplant recipients [abstract no: FR-OR078]. Journal of the American Society of Nephrology 2017;28(Abstract Suppl):57. [EMBASE: 633700163] [Google Scholar]

Azevedo 2016 {published data only}

  1. Azevedo H, Renesto PG, Chinen R, Naka E, Matos AC, Cenedeze MA, et al. Intragraft transcriptional profiling of renal transplant patients with tubular dysfunction reveals mechanisms underlying graft injury and recovery. Human Genomics 2016;10:2. [MEDLINE: ] [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Chinen R, Camara N, Pacheco-Silva A. The use of urinary retinol binding protein (URBP) as a biomarker for chronic allograft dysfunction: A pilot study [abstract no: 1567]. American Journal of Transplantation 2012;12(Suppl 3):488. [EMBASE: 70747549] [Google Scholar]
  3. Chinen R, Camara NOS, Pereira AB, Pacheco-Silva A. Immunosupression individualization can ameliorates early tubular dysfunction in renal transplanted patients with improvement in renal function over time [abstract no: TH-PO989]. Journal of the American Society of Nephrology 2009;20(Abstract Suppl):337A. [Google Scholar]

Baboolal 2003 {published data only}

  1. Baboolal K. A phase III prospective, randomized study to evaluate concentration-controlled sirolimus (rapamune) with cyclosporine dose minimization or elimination at six months in de novo renal allograft recipients. Transplantation 2003;75(8):1404-8. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]

Bang 2020 {published data only}

  1. Bang J, Oh C. Clinical study of standard versus reduced dose tacrolimus combined with generic mycophenolate mofetil in de novo kidney transplantation [abstract]. American Journal of Transplantation 2020;20(Suppl 3):927‐8. [DOI: 10.1111/ajt.16171] [EMBASE: 2027908298] [DOI] [PubMed] [Google Scholar]
  2. Bang JB, Oh CK, Ju MK, Kim SJ, Yu HC, Lee SH. Clinical study of standard- vs reduced-dose tacrolimus combined with generic mycophenolate mofetil in de novo kidney transplantation: a prospective randomized trial. Transplantation Proceedings 2020;52(1):133-9. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]

Bertoni 2011 {published data only}

  1. Bertoni E, Becherelli P, Salvadori M. Triple therapy with neoral, steroids and enteric-coated mycophenolate acid vs everolimus: efficacy, side effects and pharmaco-economic aspects. A monocentric experience [abstract no: F-PO614]. Journal of the American Society of Nephrology 2007;18(Abstracts):234A. [Google Scholar]
  2. Bertoni E, Carta P, Salvadori M. Cyclosporine very low dose with everolimus high dose is associated with excellent outcomes in renal transplant patients [abstract]. Transplant International 2011;24(Suppl 2):112. [EMBASE: 70527460] [Google Scholar]
  3. Bertoni E, Ghiggeri G, Prunotto M, Moll S, Salvadori M. Everolimus (E) vs enteric coated mycophenolate sodium (EC-MPS): proteomic and pathologic aspects [abstract no: SA-PO3020]. Journal of the American Society of Nephrology 2010;21(Abstract Suppl):800A. [Google Scholar]
  4. Bertoni E, Larti A, Farsetti S, Rosso G, Di Maria L, Zanazzi M. Cyclosporine (CyA) very low dose with everolimus (E) high dose is associated with better outcomes in renal transplant patients with respect to standard treatment with EC-MPS (M) [abstract no: LB-1]. Transplant International 2009;22(Suppl 2):91. [CENTRAL: CN-01657256] [Google Scholar]
  5. Bertoni E, Larti A, Rosso G, Zanazzi M, Di Maria L, Salvadori M. Good outcomes with cyclosporine very low exposure with everolimus high exposure in renal transplant patients. Journal of Nephrology 2011;24(5):613-8. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  6. Bertoni E, Rosso G, Larti A, Di ML, Zanazzi M, Salvadori M. Cyclosporine (CYA) very low dose with everolimus (E) high dose is associated with better outcomes in renal transplant patients with respect to standard treatment with EC-MPS [abstract]. Transplantation 2010;90(Suppl 1):296. [EMBASE: 71531661] [Google Scholar]
  7. Bertoni E, Rosso G, Salvadori M. Cyclosporine (CyA) very low dose with everolimus (E) high dose is associated with better outcomes in renal transplant patients with respect to standard treatment [abstract no: SA-PO3100]. Journal of the American Society of Nephrology 2009;20(Abstract Suppl):818A. [Google Scholar]
  8. Bertoni E, Salvadori M. Cyclosporine (CYA) very low dose with everolimus (E) high dose is associated with better outcomes in renal transplant patients with respect to standard treatment with EC-MPS (M) [abstract no: SA-FC449]. Journal of the American Society of Nephrology 2010;21(Abstract Suppl):102A. [Google Scholar]
  9. Rosati A, Bertoni E, Rosso G, Larti A, Mehmetaj A, Salvadori M. Triple therapy with neoral, steroids and enteric-coated mycophenolic acid vs everolimus: efficacy, side effects and pharmaco-economic aspects. A monocentric experience [abstract no: SaP477]. Nephrology Dialysis Transplantation 2007;22(Suppl 6):vi396. [CENTRAL: CN-00725011] [Google Scholar]
  10. Salvadori M, Bertoni E, Ghiggeri G, Prunotto M, Candiano G, Santucci L, et al. Everolimus(E) vs enteric coated mycophenolate sodium (EC-MPS): Proteomic and pathologic aspects in a 1-year prospective randomized study [abstract]. Transplantation 2010;90(Suppl 1):431. [EMBASE: 71531896] [Google Scholar]

BEST 2020 {published data only}

  1. Castro-Rojas C, Godarova A, Leino A, Alloway R, Jordan M, Woodle E, et al. MTOR inhibition diminishes peripheral blood CD8+CD28-CD38hi effector/memory T cells and facilitates resolution of belatacept-refractory kidney rejection [abstract]. American Journal of Transplantation 2017;17(Suppl 3):221. [EMBASE: 615705663] [Google Scholar]
  2. Castro-Rojas C, Godarova A, Rike SA, Alloway R, Jordan M, Woodle E, et al. Belatacept-refractory CD8+CD28-CD38hi effector/memory T cells are targeted by mTOR inhibition leading to a preferential loss of CD40L [abstract]. American Journal of Transplantation 2018;18(Suppl 4):958. [EMBASE: 622281518] [Google Scholar]
  3. Castro-Rojas CM, Godarova A, Shi T, Hummel SA, Shields A, Tremblay S, et al. mTOR inhibitor therapy diminishes circulating CD8+ CD28- effector memory T cells and improves allograft inflammation in belatacept-refractory renal allograft rejection. Transplantation 2020;104(5):1058-69. [MEDLINE: ] [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Hames H, Shields AR, Yanqui E, Christianson A, Kremer J, Govil A, et al. Five-year follow-up from a prospective, randomized trial of belatacept-based, CNI free/early steroid withdrawal regimens [abstract]. American Journal of Transplantation 2022;22(Suppl 3):511. [EMBASE: 639186395] [Google Scholar]
  5. Kaufman DB, Shields AR, Leone JP, Wiseman A, Matas AJ, West-Thielke P, et al. A prospective randomized multicenter trial (BEST trial) of belatacept-based C N I-and corticosteroid-free immunosuppression: final two year results [abstract]. American Journal of Transplantation 2019;19(Suppl 3):449. [EMBASE: 628453782] [Google Scholar]
  6. Kaufman DB, Woodle ES, Shields AR, Leone J, Matas A, Wiseman A, et al. Belatacept for simultaneous calcineurin inhibitor and chronic corticosteroid immunosuppression avoidance: two-year results of a prospective, randomized multicenter trial. Clinical Journal of the American Society of Nephrology: CJASN 2021;16(9):1387-97. [MEDLINE: ] [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Rohan JM, Leone JP, Woodle ES, Kaufman D, Shields AR, Wiseman A, et al. Patient-reported outcomes in a prospective multicenter trial of belatacept-based CNI-and corticosteroid-free immunosuppression regimens in kidney transplantation [abstract]. American Journal of Transplantation 2019;19(Suppl 3):418-9. [EMBASE: 628454981] [Google Scholar]
  8. Shields AR, West-Thielke P, Woodle ES, Kaufman DB, Lipscomb J, Leone JP, et al. Belatacept based simultaneous calcineurin inhibitor avoidance/early corticosteroid withdrawal is associated with low new onset diabetes risk [abstract]. American Journal of Transplantation 2019;19(Suppl 3):365. [EMBASE: 628454229] [Google Scholar]
  9. Wiseman A, Shields AR, Alloway RR, Kaufman D, Leone JP, Matas AJ, et al. A prospective, randomized, multicenter trial of bela-based CNI free and steroid withdrawal immunosuppression: BEST trial two year characterization of rejection and renal function [abstract]. American Journal of Transplantation 2019;19(Suppl 3):953-4. [EMBASE: 628453899] [Google Scholar]
  10. Woodle E, Kaufman D, Shields A, Leone J, Matas A, Wiseman A, et al. The BEST trial: A prospective randomized trial of belatacept-based, CNI-and corticosteroid-free immunosuppression [abstract]. American Journal of Transplantation 2016;16(Suppl 3):541-2. [EMBASE: 611699031] [Google Scholar]
  11. Woodle E, Kaufman D, Shields A, Leone J, Wiseman A, Matas A, et al. The BEST trial: a prospective randomized multicenter trial of belatacept-based CNI- and corticosteroid-free immunosuppression [abstract]. American Journal of Transplantation 2018;18(Suppl 4):290-1. [EMBASE: 622280009] [Google Scholar]
  12. Woodle ES, Kaufman D, Rike SA, Leone J, Matas A, Wiseman A, et al. Belatacept-based immunosuppression with simultaneous calcineurin inhibitor avoidance and early corticosteroid withdrawal: a prospective, randomized multicenter trial. American Journal of Transplantation 2020;20(4):1039-55. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]

Bromberg 2011 {published data only}

  1. Bromberg J, Cibrik D, Steinberg S, West-Thielke P, Yang H, Erdman J, et al. A phase 2 study to assess the safety and efficacy of alefacept (ALEF) in de novo kidney transplant recipients [abstract]. American Journal of Transplantation 2011;11(Suppl 2):190. [EMBASE: 70405566] [Google Scholar]
  2. Cibrik D, Steinberg S, West P, Yang H, Bromberg J, Erdman J, et al. A phase 2 study to assess the safety and efficacy of alefacept (ALEF) in de novo kidney transplant recipients [abstract]. Transplant International 2011;24(Suppl 2):70. [EMBASE: 70527323] [Google Scholar]

Budde 2007 {published data only}

  1. Budde K, Bosmans J, Zeier M, Sennesael J, Hopt U, Fischer WH, et al. Safety and efficacy of reduced or full dose of cyclosporine (neoral®) in combination with mycophenolate sodium (myfortic®), basiliximab (simulect®), and steroids in de novo kidney transplant recipients [abstract no: O212]. Transplantation 2004;78(2 Suppl):83. [Google Scholar]
  2. Budde K, Bosmans JL, Sennesael J, Zeier M, Hopt U, Fischer W, et al. Reduced cyclosporine exposure is safe and efficacious in combination with basiliximab, enteric-coated mycophenolate-sodium, and steroids [abstract no: 1195]. American Journal of Transplantation 2005;5(Suppl 11):461. [CENTRAL: CN-0064416] [Google Scholar]
  3. Budde K, Bosmans JL, Sennesael J, Zeier M, Pisarski P, Schutz M, et al. Reduced-exposure cyclosporine is safe and efficacious in de novo renal transplant recipients treated with enteric-coated mycophenolic acid and basiliximab. Clinical Nephrology 2007;67(3):164-75. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  4. Budde K, Zeier M, Bosmans JL, Sennesael J, Glander P, Fischer W, et al. Reduced-exposure cyclosporine is safe and efficacious in de novo renal transplant recipients treated with enteric-coated mycophenolic acid and basiliximab [abstract no: F-PO1088]. Journal of the American Society of Nephrology 2006;17(Abstracts):565A. [DOI] [PubMed] [Google Scholar]
  5. Budde K, Zeier M, Cohen D, Kirchherr B, MyProms SG. How much exposure is needed in the first week in patients receiving induction with basiliximab and enteric coated mycophenolate sodium? [abstract no: 1206]. American Journal of Transplantation 2005;5(Suppl 11):464. [CENTRAL: CN-00602063] [Google Scholar]
  6. Legendre C, Cohen D, Zeier M, Rostaing L, Budde K. Efficacy and safety of enteric-coated mycophenolate sodium in de novo renal transplant recipients: pooled data from three 12-month multicenter, open-label, prospective studies. Transplantation Proceedings 2007;39(5):1386-91. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  7. Legendre CH, Rostaing L, Kirchherr B, MyProms Study Group. Tolerability of enteric coated mycophenolate sodium (EC-MPS) in combination with neoral and steroids in de novo kidney transplant recipients: a 12 months prospective trial [abstract no: 1209]. American Journal of Transplantation 2005;5(Suppl 11):464-5. [CENTRAL: CN-00602066] [Google Scholar]
  8. Pietruck F, Budde K, Salvadori M, Sollinger H, Bourbigot B, Gentil MA, et al. Efficacy and safety of enteric-coated mycophenolate sodium in renal transplant patients with diabetes mellitus: post hoc analyses from three clinical trials. Clinical Transplantation 2007;21(1):117-25. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  9. Rostaing L, Legendre CH, Cohen D, Budde K, Zeier M, Kirchherr B, et al. Safety and tolerability of enteric coated mycophenolate sodium in combination with neoral and steroids in de novo kidney transplant recipients: 12 months analysis of a prospective trial [abstract no: T-PO50030]. Nephrology 2005;10(Suppl 1):A215. [CENTRAL: CN-00644301] [Google Scholar]

Burkhalter 2012 {published data only}

  1. Burkhalter F, Oettl T, Descoeudres B, Bachmann A, Guerke L, Mihatsch MJ, et al. High incidence of rejection episodes and poor tolerance of sirolimus in a protocol with early steroid withdrawal and calcineurin inhibitor-free maintenance therapy in renal transplantation: experiences of a randomized prospective single-center study. Transplantation Proceedings 2012;44(10):2961-5. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  2. Oettl T, Descoeudres B, Burkhalter F, Bachmann A, Gürke L, Mihatsch MJ, et al. An open, single centre, prospective study to investigate a steroid free immunosuppressive regimen for de novo renal transplant recipients followed by a two arm randomisation to a CNI-sparing and a CNI-free maintenance immunosuppression after 3 months [abstract no: 38]. Swiss Medical Weekly 2008;138(Suppl 167):15S. [CENTRAL: CN-01657296] [~] [Google Scholar]

CAESAR 2007 {published data only}

  1. Ekberg H, Grinyo J, Nashan B, Vanrenterghem Y, Vincenti F, CAESAR Study Group. Low-dose cyclosporine in conjunction with daclizumab, mycophenolate mofetil and corticosteroids is safe and effective in contrast to early cyclosporine withdrawal [abstract no: 93]. In: 3rd International Congress on Immunosuppression; 2004 Dec 8-11; San Diego (CA). 2004. [CENTRAL: CN-00550672]
  2. Ekberg H, Grinyo J, Nashan B, Vanrenterghem Y, Vincenti F, Calleja E, et al. The use of daclizumab and mycophenolate mofetil in combination with corticosteroids and cyclosporine (low dose versus low dose followed by withdrawal) to optimize renal function in recipients of renal allografts [abstract no: P734]. Transplantation 2004;78(2 Suppl):458. [CENTRAL: CN-00509171] [Google Scholar]
  3. Ekberg H, Grinyo J, Nashan B, Vanrenterghem Y, Vincenti F, Voulgari A, et al. Cyclosporine sparing with mycophenolate mofetil, daclizumab and corticosteroids in renal allograft recipients: the CAESAR Study. American Journal of Transplantation 2007;7(3):560-70. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  4. Grinyo J, Vanrenterghem Y, Nashan B, Vincenti F, Ekberg H, Spleiss O, et al. Association of three polymorphisms with acute rejection after kidney transplantation: an exploratory pharmacogenetic analysis of a randomized multicenter clinical trial (the CAESAR study) [abstract no: 1020]. American Journal of Transplantation 2006;6(Suppl 2):410. [CENTRAL: CN-00678972] [Google Scholar]
  5. Kuypers DR, Ekberg H, Grinyo J, Nashan B, Vincenti F, Snell P, et al. Mycophenolic acid exposure after administration of mycophenolate mofetil in the presence and absence of cyclosporin in renal transplant recipients. Clinical Pharmacokinetics 2009;48(5):329-41. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  6. Vincenti F, Vanrenterghem Y, Nashan B, Grinyo J, Ekberg H, Nasmyth-Miller C, et al. The use of mycophenolate mofetil, daclizumab and corticosteroids with cyclosporine (low dose, low dose/withdrawal and standard dose) to optimize renal function in renal allograft recipients - 18 month results [abstract no: 1507]. American Journal of Transplantation 2005;5(Suppl 11):539. [CENTRAL: CN-00644286] [Google Scholar]

Cai 2014 {published data only}

  1. Cai L, Zeng F, Liu B, Wei L, Chen Z, Jiang J. A single-centre, open-label, prospective study of an initially short-term intensified dosing regimen of enteric-coated mycophenolate sodium with reduced cyclosporine A exposure in Chinese live-donor kidney transplant recipients. International Journal of Clinical Practice Supplement 2014;68(Suppl 181):23-30. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]

CAMPASIA 2005 {published data only}

  1. Munoz AS, Cabanayan-Casasola CB, Danguilan RA, Padua FB, Ona ET. Campath-1H (alemtuzumab) as an induction agent for the prevention of graft rejection and preservation of renal function in kidney transplant patients: Philippine 3-year follow-up. Transplantation Proceedings 2008;40(7):2230-3. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  2. Vathsala A, Ona ET, Tan S, Suresh S, Chan Y, Lou H, et al. CAMPSIA: a pilot randomised controlled trial of the effectiveness of campath-1h (mabcampath®) as an induction agent for prevention of graft rejection and preservation of renal function in patients receiving kidney transplants [abstract no: 908]. American Journal of Transplantation 2004;4(Suppl 8):406. [CENTRAL: CN-00509539] [Google Scholar]
  3. Vathsala A, Ona ET, Tan SY, Suresh S, Lou HX, Cabanayan-Casasola CB, et al. Induction therapy with alemtuzumab together with low dose cyclosporine monotherapy permits steroid-free immunosuppression, mitigates drug-related, non-immune toxicities and improves quality of life [abstract no: TH-PO550]. Journal of the American Society of Nephrology 2006;17(Abstracts):224A. [Google Scholar]
  4. Vathsala A, Ona ET, Tan SY, Suresh S, Lou HX, Cabanayan-Casasola CB, et al. Lymphocyte recovery after depletion by alemtuzumab in renal transplant recipients: impact on outcome [abstract no: 1015]. American Journal of Transplantation 2005;5(Suppl 11):415. [CENTRAL: CN-00644284] [Google Scholar]
  5. Vathsala A, Ona ET, Tan SY, Suresh S, Lou HX, Cabanayan-Casasola CB, et al. Randomized trial of alemtuzumab for prevention of graft rejection and preservation of renal function after kidney transplantation. Transplantation 2005;80(6):765-74. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  6. Vathsala A, CAMPASIA Study Group. Safety and efficacy of campath-1h (mabcampath®) with low dose cyclosprorine monotherapy in patients receiving kidney transplants - 6 month analysis of the pilot randomised controlled [abstract no: O145]. Transplantation 2004;78(2 Suppl):56. [CENTRAL: CN-00509538] [Google Scholar]
  7. Vathsala A, CAMPSIA Study Group. One year results of a pilot randomised controlled trial of the effectiveness of alemtuzumab as an induction agent for prevention of graft rejection and preservation of renal function in patients receiving kidney transplants [abstract no: T-PO50029]. Nephrology 2005;10(Suppl 1):A215. [CENTRAL: CN-00583367] [Google Scholar]

Chadban 2013 {published data only}

  1. Chadban S, Campbell S, Russ G, Walker R, Chapman J, Pussell B, et al. A one-year, randomised, open label, parallel group study to investigate the safety and efficacy of enteric-coated mycophenolate sodium (EC-MPS) in combination with full dose or reduced dose cyclosporine microemulsion (CSA-ME), basiliximab and steroids in de novo kidney transplantation [abstract no: 32]. In: Transplantation Society of Australia & New Zealand (TSANZ). 24th Annual Scientific Meeting; 2006 Mar 29-31; Canberra (ACT). 2006:51. [CENTRAL: CN-00583470]
  2. Chadban S. Enteric-coated mycophenolate sodium in combination with full dose or reduced dose cyclosporine, basiliximab and corticosteroids in Australian de novo kidney transplant patients. Nephrology 2013;18(1):63-70. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]

Chan 2008 {published data only}

  1. Chan L, Greenstein S, Hardy MA, Hartmann E, Bunnapradist S, Cibrik D, et al. Multicenter, randomized study of the use of everolimus with tacrolimus after renal transplantation demonstrates its effectiveness. Transplantation 2008;85(6):821-6. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  2. Chan L, Hartmann E, Cibrik D, Cooper M, Shaw LM. Everolimus (RAD001) concentration is associated with risk reduction for acute rejection in de novo renal transplant recipients [abstract no: SA-PO2529]. Journal of the American Society of Nephrology 2008;19(Abstracts Issue):678A. [Google Scholar]
  3. Chan L, Hartmann E, Cibrik D, Cooper M, Shaw LM. Optimal everolimus concentration is associated with risk reduction for acute rejection in de novo renal transplant recipients. Transplantation 2010;90(1):31-7. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]

Chan 2012 {published data only}

  1. Andres A, Bloom R, Bunnapradist S, Cassuto E, Chan L, Hart M, et al. Randomized, multicenter study of the safety and efficacy of enteric-coated mycophenolate sodium combined with basiliximab and low or standard dose of tacrolimus in de novo renal transplant patients [abstract no: 507]. Transplant International 2007;20(Suppl 2):217. [Google Scholar]
  2. Asderakis A, Chan L. Renal function with enteric-coated mycophenolate sodium in combination with reduced and standard tacrolimus levels: results of a 6-month study in de novo renal transplant recipients [abstract no: O111]. In: British Transplantation Society (BTS).12th Annual Congress; 2009 Apr 21-24; Liverpool, UK. 2009. [CENTRAL: CN-01657257]
  3. Chan L, Andres A, Bunnapradist S, Gugliuzza K, Parasuraman R, Peddi VR, et al. Renal function and NODM in de novo renal transplant recipients treated with standard and reduced levels of tacrolimus in combination with EC-MPS. Journal of Transplantation 2012;2012:941640. [MEDLINE: ] [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Chan L, Hart M, Andres A, Gugliuzza K, Bunnapradist S, Parasumaran R. Renal function and incidence of NODM with enteric-coated mycophenolate sodium in combination with reduced and standard tacrolimus levels: results of a 6-month comparative study in de novo renal transplant recipients [abstract no: 718]. Transplantation 2008;86(2S):251. [CENTRAL: CN-01657259] [Google Scholar]
  5. Nicholson ML, Chan L. Incidence of new onset diabetes mellitus in de novo renal transplant recipients treated with enteric-coated mycophenolate sodium in combination with reduced or standard tacrolimus target levels: Results of a 6-month randomized study [abstract no: P266]. In: British Transplantation Society (BTS).12th Annual Congress; 2009 Apr 21-24; Liverpool, UK. 2009. [CENTRAL: CN-01657260]

Cibrik 2007 {published data only}

  1. Bresnahan B, Cibrik D, Jensik S, Whelchel J, Klintmalm G, Cohen D, et al. Treatment of high-risk renal transplant recipients with EC-MPS (Myfortic®) is safe and efficacious [abstract no: PUB216]. Journal of the American Society of Nephrology 2005;16(Abstracts):829A. [Google Scholar]
  2. Budde K, Zeier M, Cohen D, Kirchherr B, MyProms Study Group. How much exposure is needed in the first week in patients receiving induction with basiliximab and enteric coated mycophenolate sodium? [abstract no: 1206]. American Journal of Transplantation 2005;5(Suppl 11):464. [CENTRAL: CN-00602063] [Google Scholar]
  3. Cibrik D, Jensik S, Bresnahan B, Whelchel J, Klintmalm G, ERL2405-US01 Study Group. Safety and efficacy of EC-MPS in combination with simulect and neoral in de novo renal transplant high-risk recipients [abstract no: 135]. American Journal of Transplantation 2005;5(Suppl 11):190. [CENTRAL: CN-00644170] [Google Scholar]
  4. Cibrik D, Jensik S, Meier-Kriesche H, Bresnahan B, Lieberman B, Myfortic US01 Renal Transplant Group. Enteric-coated mycophenolate sodium in combination with optimized neoral dosing, basiliximab, and steroids results in good efficacy and renal function in renal transplant recipients in the first six months [abstract no: 220]. American Journal of Transplantation 2004;4(Suppl 8):218. [CENTRAL: CN-00644278] [Google Scholar]
  5. Cibrik D, Meier-Kriesche HU, Bresnahan B, Wu YM, Klintmalm G, Kew CE, et al. Renal function with cyclosporine C2 monitoring, enteric-coated mycophenolate sodium and basiliximab: a 12-month randomized trial in renal transplant recipients. Clinical Transplantation 2007;21(2):192-201. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  6. Legendre C, Cohen D, Zeier M, Rostaing L, Budde K. Efficacy and safety of enteric-coated mycophenolate sodium in de novo renal transplant recipients: pooled data from three 12-month multicenter, open-label, prospective studies. Transplantation Proceedings 2007;39(5):1386-91. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  7. Legendre CH, Rostaing L, Kirchherr B, MyProms Study Group. Tolerability of enteric coated mycophenolate sodium (EC-MPS) in combination with neoral and steroids in de novo kidney transplant recipients: a 12 months prospective trial [abstract no: 1209]. American Journal of Transplantation 2005;5(Suppl 11):464-5. [CENTRAL: CN-00602066] [Google Scholar]
  8. Meier-Kriesche H, Cibrik D, Bresnahan B, Cohen D, Lieberman B. Optimized Neoral C2 monitoring in combination with enteric-coated mycophenolic acid, basiliximab and steroids is effective, safe and tolerable: 12-month results of a multicenter, randomized, prospective trial. [abstract no: F-PO1068]. Journal of the American Society of Nephrology 2004;15(Oct):299A. [Google Scholar]
  9. Pietruck F, Budde K, Salvadori M, Sollinger H, Bourbigot B, Gentil MA, et al. Efficacy and safety of enteric-coated mycophenolate sodium in renal transplant patients with diabetes mellitus: post hoc analyses from three clinical trials. Clinical Transplantation 2007;21(1):117-25. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  10. Rostaing L, Legendre CH, Cohen D, Budde K, Zeier M, Kirchherr B, et al. Safety and tolerability of enteric coated mycophenolate sodium in combination with neoral and steroids in de novo kidney transplant recipients: 12 months analysis of a prospective trial [abstract no: T-PO50030]. Nephrology 2005;10(Suppl 1):A215. [CENTRAL: CN-00644301] [Google Scholar]

CIS 2014 {published data only}

  1. Sommerer C, Brocke J, Bruckner T, Schaier M, Morath C, Meuer S, et al. Improved pulse wave velocity and renal function in individualized calcineurin-inhibitor treatment by immunomonitoring: the randomized controlled Calcineurin Inhibitor-Sparing (CIS) Trial. Transplantation 2018;102(3):510-20. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  2. Sommerer C, Brocke J, Meuer S, Zeier MG, Giese T. Monitoring of ciclosporin by NFAT-regulated gene expression reduces the cardiovascular risk- the CIS trial [abstract no: FR-PO1077]. Journal of the American Society of Nephrology 2015;26(Abstract Suppl):617A. [EMBASE: 641101251] [Google Scholar]
  3. Sommerer C, Schaier M, Morath C, Schwenger V, Rauch G, Giese T, et al. The Calcineurin Inhibitor-Sparing (CIS) Trial - individualised calcineurin-inhibitor treatment by immunomonitoring in renal allograft recipients: protocol for a randomised controlled trial. Trials [Electronic Resource] 2014;15:489. [MEDLINE: ] [DOI] [PMC free article] [PubMed] [Google Scholar]

Cockfield 2019 {published data only}

  1. Cockfield S, Rush D, Jevnikar A, Paquet M, Prasad G, Howell J. Standard vs. low dose extended-release tacrolimus (Advagraf) in de novo renal transplant: 6-month interim analysis [abstract]. Transplantation 2014;98(Suppl 1):685. [EMBASE: 71545865] [Google Scholar]
  2. Cockfield S, Rush D, Wilson S, Howell J. Impact of antihypertensive (AHT) choice and Advagraf dose on interstitial fibrosis/tubular atrophy (IF/TA) and IF/TA progression in renal allografts 24 months post-transplantation (Tx) [abstract]. American Journal of Transplantation 2017;17(Suppl 3):231. [EMBASE: 615704881] [Google Scholar]
  3. Cockfield SM, Wilson S, Campbell PM, Cantarovich M, Gangji A, Houde I, et al. Comparison of the effects of standard vs low-dose prolonged-release tacrolimus with or without ACEi/ARB on the histology and function of renal allografts. American Journal of Transplantation 2019;19(6):1730-44. [MEDLINE: ] [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Rush D, Cockfield S, Wilson S, Howell J. Impact of antihypertensive (AHT) choice and Advagraf dose on immunologic events in renal allografts 24 months post-transplantation (Tx) [abstract]. American Journal of Transplantation 2017;17(Suppl 3):231. [EMBASE: 615704915] [Google Scholar]
  5. Rush D, Cockfield S, Wilson S, Schwartz J. Long-term impact of antihypertensive treatment and tacrolimus dose in renal allograft recipients 5 years post-transplantation [abstract]. American Journal of Transplantation 2019;19(Suppl 3):966. [EMBASE: 628453151] [Google Scholar]

CRADLE 2018 {published data only}

  1. Christian M, Bjerre A, Wennberg L, Ettenger R, Pape L, Tonshoff B, et al. Design and baseline characteristics of CRADLE: A study evaluating the efficacy and safety of everolimus to reduce CNI exposure and to withdraw steroids in pediatric renal transplant recipients [abstract no: P226]. Pediatric Nephrology 2014;29(9):1755. [EMBASE: 71662623] [Google Scholar]
  2. Ettenger R, Tonshoff B, Tedesco-Silva H, Dello Strologo L, Marks S, Pape L, et al. Efficacy and safety of everolimus with reduced-exposure tacrolimus and corticosteroid withdrawal in de novo pediatric renal transplant recipients: 12-month results from the CRADLE study [abstract]. American Journal of Transplantation 2017;17(Suppl 3):407-8. [EMBASE: 615705896] [Google Scholar]
  3. Gupta D. Design of a randomized study evaluating everolimus in pediatric renal transplant recipients [abstract no: P708]. Transplant International 2013;26(Suppl 2):328. [EMBASE: 71360310] [Google Scholar]
  4. Pape L, Tonshoff B, Ettenger R, Dello SL, Martzloff ED, Ng J, et al. Rationale, design and baseline characteristics of pediatric renal transplant recipients in CRADLE study: a randomised study to evaluate the effect of early everolimus initiation to reduce calcineurin inhibitor exposure and to withdraw steroid [abstract]. Pediatric Nephrology 2015;30(9):1712. [EMBASE: 72033676] [Google Scholar]
  5. Strologo LD, Tonshoff B, Pape L, Ettenger R, Niaudet P, Martzloff ED, et al. Rationale and design of a study evaluating the efficacy and safety of early conversion of calcineurin inhibitor to everolimus in paediatric renal transplant recipients [abstract no: P376]. Pediatric Nephrology 2012;27(9):1816. [EMBASE: 71386594] [Google Scholar]
  6. Tedesco H, Tonshoff B, Ettenger R, Wennberg L, Strologo LD, Marks SD, et al. Renal function outcomes of everolimus with reduced-dose tacrolimus and corticosteroid withdrawal-based regimen in de novo pediatric renal transplant recipients: 12-month analysis of the CRADLE study [abstract]. Pediatric Transplantation 2017;21(Suppl 1):1. [EMBASE: 616240306] [Google Scholar]
  7. Tedesco Silva H, Ettenger R, Bjerre A, Christian M, Dello Strologo L, Marks SD, et al. Effect of everolimus with reduced-exposure tacrolimus and early steroid elimination in pediatric kidney transplant recipients: 36-month outcomes from the CRADLE study [abstract no: 135]. American Journal of Transplantation 2019;19(Suppl 3):374. [EMBASE: 628454907] [Google Scholar]
  8. Tonshoff B, Ettenger R, Christian M, Bjerre A, Strologo LD, Marks SD, et al. Efficacy and safety of everolimus with reduced tacrolimus and early steroid elimination regimen in de novo pediatric renal transplant recipients: 12-month data from the CRADLE study [abstract]. Pediatric Transplantation 2017;21(Suppl 1):1. [EMBASE: 616240275] [Google Scholar]
  9. Tonshoff B, Ettenger R, Dello Strologo L, Marks SD, Pape L, Christian M, et al. Preservation of renal function with everolimus plus reduced tacrolimus and corticosteroid withdrawal-based regimen in de novo pediatric renal transplant recipients: 12-months results: the CRADLE study [abstract]. Transplant International 2017;30(Suppl 4):22. [EMBASE: 619082211] [Google Scholar]
  10. Tonshoff B, Ettenger R, Dello Strologo L, Marks SD, Pape L, Tedesco-Silva H Jr, et al. Early conversion of pediatric kidney transplant patients to everolimus with reduced tacrolimus and steroid elimination: results of a randomized trial. American Journal of Transplantation 2018;19(3):811-22. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  11. Tonshoff B, Ettenger R, Pape L, Dello Strologo L, Martzloff D, Vergara M, et al. Baseline characteristics of CRADLE study evaluating the effect of early everolimus initiation to reduce calcineurin inhibitor exposure and to withdraw steroid in pediatric renal transplant recipients [abstract]. Transplant International 2015;28(Suppl 4):402. [EMBASE: 72112181] [Google Scholar]
  12. Tonshoff B, Ettenger R, Strologo LD, Marks SD, Pape L, Christian M, et al. Preservation of renal function with everolimus plus reduced-dose tacrolimus and corticosteroid withdrawal-based regimen in de novo pediatric renal transplant recipients: 12-month results from the CRADLE study [abstract no: P-372]. Pediatric Nephrology 2017;32(9):1798-1800. [EMBASE: 618119406] [Google Scholar]
  13. Tonshoff B, Pape L, Strologo LD, Ettenger R, Niaudet P, Martzloff ED, et al. Design of CRAD001A2314: a randomised study evaluating everolimus in paediatric renal transplantation [abstract no: P712]. Transplant International 2013;26(Suppl 2):328. [EMBASE: 71360314] [Google Scholar]
  14. Tonshoff B, Tedesco-Silva H, Ettenger R, Christian M, Bjerre A, Dello Strologo L, et al. Randomized trial on everolimus in pediatric renal transplantation: three-year data of the CRADLE study [abstract no: IPN10673-88]. Pediatric Nephrology 2019;34(10):1924. [Google Scholar]

David‐Neto 2014 {published data only}

  1. David-Neto E, Galante N, Altona M, Paula F, Triboni A, Ramos F, et al. A randomized, prospective study comparing everolimus/low tacrolimus with regular tacrolimus/MPS for the elderly renal transplant recipients [abstract]. Transplantation 2014;98(Suppl 1):549. [EMBASE: 71545379] [Google Scholar]

de Sevaux 2001 {published data only}

  1. Smak Gregoor PJH, Sevaux RGL, Hene RJ, Hilbrands LB, Gelder T, Hoitsma AJ, et al. The cyclosporine sparing effect of mycophenolate mofetil, a randomized study [abstract]. Journal of the American Society of Nephrology 1998;9(Program & Abstracts):699A. [CENTRAL: CN-00447776] [Google Scholar]
  2. Sevaux RG, Gregoor PJ, Hene RJ, Hoitsma AJ, Vos P, Weimar W, et al. A controlled trial comparing two doses of cyclosporine in conjunction with mycophenolate mofetil and corticosteroids. Journal of the American Society of Nephrology 2001;12(8):1750-7. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  3. Sevaux RG, Smak Gregoor PJ, Hene RJ, Hoitsma AJ, Vos P, et al. Addition of mycophenolate mofetil to cyclosporine and prednisone allows for a lower dose of cyclosporine after renal transplantation [abstract]. In: XVIII International Congress of the Transplantation Society; 2000 Aug 27-Sep 1; Rome, Italy. 2000. [CENTRAL: CN-00583239]
  4. Sévaux RG, Smak Gregoor PJ, Hené RJ, Weimar W, Hoitsma AJ, Van Gelder T, et al. A randomised study of conventional vs low dose cyclosporine in renal transplant recipients treated with cyclosporine, mycophenolate mofetil and prednisone [abstract no: 418]. Transplantation 1998;65(12):S107. [CENTRAL: CN-00583548] [Google Scholar]

DICAM 2010 {published data only}

  1. Etienne I, Toupance O, Benichou J, Thierry A, Al Najjar A, Hurault dL, et al. A 50% reduction in cyclosporine exposure in stable renal transplant recipients: renal function benefits. Nephrology Dialysis Transplantation 2010;25(9):3096-106. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  2. Etienne I, Toupance O, Thierry A, Al NA, De Ligny HB, Rerolle J, et al. Impact of two years of 50% reduction of cyclosporine exposure in stable kidney transplant recipients treated with mycophenolate mofetil without corticosteroids on renal function: Results at 60 months of follow-up of a multicenter randomized controlled trial: The DICAM study [abstract]. American Journal of Transplantation 2011;11(Suppl 2):410. [EMBASE: 70406352] [Google Scholar]

EVEREST 2009 {published data only}

  1. Citterio F, Scolari MP, Salvadori M, Castagneto M, Rigotti P, Albertazzi A, et al. A randomized trial comparing standard everolimus plus cyclosporine with higher blood everolimus levels plus very low cyclosporine levels in renal transplant recipients: preliminary results of the Everest Study [abstract no: P118]. Transplant International 2007;20(Suppl 2):124. [CENTRAL: CN-00724884] [Google Scholar]
  2. Corbetta G, Salvadori M, Scolari MP, Citterio F, Rigotti P, Cossu M, et al. Exposure to everolimus, and not to cyclosporine, is associated with freedom from acute rejection in de novo renal recipients [abstract no: 447]. Transplantation 2008;86(Suppl 2):157. [CENTRAL: CN-00740485] [Google Scholar]
  3. Ponticelli C, Salvadori M, Scolari MP, Citterio F, Rigotti P, Veneziano A, et al. Everolimus and minimization of cyclosporine in renal transplantation: 24-month follow-up of the EVEREST study. Transplantation 2011;91(10):e72-3. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  4. Salvadori M, Scolari M, Bertoni E, Citterio F, Rigotti P, Cossu M, et al. Targeting upper everolimus blood levels with very low-dose cyclosporine is effective and safe in de novo renal transplantation [abstract no: 448]. Transplantation 2008;86(Suppl 2):158. [CENTRAL: CN-00740453] [Google Scholar]
  5. Salvadori M, Scolari MP, Bertoni E, Citterio F, Rigotti P, Cossu M, et al. Everolimus with very low-exposure cyclosporine A in de novo kidney transplantation: a multicenter, randomized, controlled trial. Transplantation 2009;88(10):1194-202. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  6. Salvadori M, Scolari MP, Bertoni E, Citterio F, Rigotti P, Cossu M. Upper everolimus blood levels with very low-dose cyclosporin: 12 months follow up of the Everest Study [abstract no: 1085]. American Journal of Transplantation 2009;9(Suppl 2):497. [CENTRAL: CN-00776867] [Google Scholar]

Fangmann 2010 {published data only}

  1. Fangmann J, Arns W, Marti H, Budde K, Beckurts T, Hauss J. Low dose cyclosporine regimen with daclizumab induction and mycophenolate mofetil after kidney transplantation - impact on renal function and rejection episodes [abstract no: 113]. American Journal of Transplantation 2005;5(Suppl 11):185. [CENTRAL: CN-00644197] [Google Scholar]
  2. Fangmann J, Arns W, Marti H, Budde K, Neumayer H, Beckurts T, et al. Impact of daclizumab and low dose cyclosporine in combination with mycophenolate mofetil and steroids on renal function after kidney transplantation [abstract no: 715]. American Journal of Transplantation 2004;4(Suppl 8):353. [CENTRAL: CN-00509182] [Google Scholar]
  3. Fangmann J, Arns W, Marti H, Budde K, Neumayer H, Beckurts T, et al. Impact of daclizumab and low dose cyclosporine in combination with mycophenolate mofetil and steroids on renal function after kidney transplantation [abstract no: P249]. Transplantation 2004;78(2 Suppl):280. [CENTRAL: CN-01912449] [Google Scholar]
  4. Fangmann J, Arns W, Marti HP, Hauss J, Ketteler M, Beckurts T, et al. Impact of daclizumab, low-dose cyclosporine, mycophenolate mofetil and steroids on renal function after kidney transplantation. Nephrology Dialysis Transplantation 2010;25(1):283-92. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]

Ferguson 2006 {published data only}

  1. Ferguson R, Mulgaonkar S, Tedesco Silva H, Oppenheimer F, Walker R, et al. FTY720 with reduced-exposure (R-E) cyclosporine [neoral] (CsA): acute rejection prophylaxis in de novo renal transplant (Tx) recipients [abstract]. In: Transplantation Society of Australia & New Zealand (TSANZ). 21st Annual Scientific Meeting; 2003 Apr 9-11; Canberra (ACT). 2003:63. [CENTRAL: CN-00509182]
  2. Ferguson RM, Mulgaonkar S, Tedesco H, Oppenheimer F, Walker R, Kunzendor U, et al. FTY720 with reduced-exposure neoral provides adequate rejection prophylaxis in de novo renal transplant recipients. Interim results [abstract no: 0049]. In: XIXth International Congress of the Transplantation Society; 2002 Aug 25-30; Miami (FL). 2002. [CENTRAL: CN-00415638]
  3. Ferguson RM, Mulgaonkar S, Tedesco H, Oppenheimer F, Walker R, Russ G, et al. High efficacy of FTY720 with reduced cyclosporine dose in preventing rejection in renal transplantation: 12-month preliminary results [abstract no: 624]. American Journal of Transplantation 2003;3(Suppl 5):311. [CENTRAL: CN-00445316] [Google Scholar]
  4. Mulgaonkar S, Tedesco H, Oppenheimer F, Walker R, Kunzendorf U, Russ G, et al. FTY720/cyclosporine regimens in de novo renal transplantation: a 1-year dose-finding study. American Journal of Transplantation 2006;6(8):1848-57. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  5. Russ G, Ferguson RM, Mulgaonkar S, Tedesco-Silva H, Oppenheimer F, Walker R, et al. FTY720 with reduced dose Neoral (RDN) may offer a safety/tolerability profile advantage over conventional immunosuppressive therapies [abstract no: 1000]. American Journal of Transplantation 2004;4(Suppl 8):432. [CENTRAL: CN-00509451] [Google Scholar]
  6. Walker R, Eris J, Russ G, FTY121 International Study Group. FTY720 with reduced cyclosporine exposure (RCE) prevents rejection in renal transplantation (TRX): 12-month (m) preliminary results [abstract no: 98]. In: Transplantation Society of Australia & New Zealand (TSANZ). 22nd Annual Scientific Meeting ; 2004 Mar 31-Apr 2; Canberra (ACT). 2004:87. [CENTRAL: CN-00520403]
  7. Walker R, Ferguson RM, Mulgaonkar S, Tedesco H, Oppenheimer F, Russ G, et al. FTY720 with reduced cyclosporine exposure is efficacious in preventing rejection in renal transplantation: 12-month preliminary results [abstract no: T680]. Nephrology Dialysis Transplantation 2003;18(Suppl 4):499. [CENTRAL: CN-00448252] [Google Scholar]

Fleming 2016 {published data only}

  1. Fleming J, Taber D, Pilch N, Meadows H, Mardis C, McGillicuddy J, et al. mTOR-based CNI minimization vs withdrawal in African American kidney transplant recipients [abstract]. American Journal of Transplantation 2015;15(Suppl 3):D140. [EMBASE: 71953883] [Google Scholar]
  2. Fleming JN, Taber DJ, Pilch NA, McGillicuddy JW, Srinivas TR, Baliga PK, et al. A randomized, prospective comparison of transition to sirolimus-based CNI-minimization or withdrawal in African American kidney transplant recipients. Clinical Transplantation 2016;30(5):528-33. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]

Fricke 2009 {published data only}

  1. Fricke L, Meier M, Bode W, Wong W, Lehnert H, Steinhoff J, et al. Low dose immunosuppression is not sufficient to avoid acute rejections in old for old kidney transplant recipients: a one year prospective multicenter randomized controlled trial [abstract no: P-384]. Transplant International 2009;22(Suppl 2):190. [Google Scholar]
  2. Meier M, Bode W, Nitschke M, Wong W, Kramer J, Lehnert H, et al. Low does tacrolimus versus mycophenolate-mofetil in "old for old" kidney transplantation: a one year prospective multicenter randomized controlled trial [abstract no: 1090]. American Journal of Transplantation 2009;9(Suppl 2):498. [Google Scholar]

Ghadimi 2018 {published data only}

  1. Ghadimi M, Dashti-Khavidaki S, Khatami MR, Mahdavi-Mazdeh M, Gatmiri M, Minoo FS, et al. Comparing the effect of immediate versus delayed initiation of tacrolimus on delayed graft function in kidney transplant recipients: a randomized open-label clinical trial. Journal of Research in Pharmacy Practice 2018;7(2):69-76. [MEDLINE: ] [DOI] [PMC free article] [PubMed] [Google Scholar]

Ghafari 2007 {published data only}

  1. Ghafari A, Makhdoomi K, Ahmadpoor P, Afshari AT, Farshid B, Fallah MM, et al. Mycophenolate mofetil (MMF) plus low dose versus high dose cyclosporine A (CSA) induction protocols in renal transplantation [abstract no: T-PO50034]. Nephrology 2005;10(Suppl):A216. [CENTRAL: CN-01657299] [Google Scholar]
  2. Ghafari A, Makhdoomi K, Ahmadpoor P. Early low dose versus high dose cyclosporine A (CSA) induction protocols in renal transplantation [abstract no: SP742]. Nephrology Dialysis Transplantation 2006;21(Suppl 4):iv265. [CENTRAL: CN-01657300] [DOI] [PubMed] [Google Scholar]
  3. Ghafari A, Makhdoomi K, Ahmadpour P, Afshari AT, Fallah MM, Rad PS. Low-dose versus high-dose cyclosporine induction protocols in renal transplantation. Transplantation Proceedings 2007;39(4):1219-22. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]

HERAKLES 2018 {published data only}

  1. Sommerer C, Duerr M, Witzke O, Lehner F, Arns W, Kliem V, et al. Five-year outcomes in kidney transplant patients randomized to everolimus with cyclosporine withdrawal or low-exposure cyclosporine versus standard therapy. American Journal of Transplantation 2018 May 2;18(12):2965-76. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]

IRCT201604253043N11 {published data only}201604253043N11

  1. IRCT201604253043N. Comparing the starting time of tacrolimus administration in management of kidney transplant recipients. https://trialsearch.who.int/Trial2.aspx?TrialID=IRCT201604253043N11 2016.

Jindal 2002 {published data only}

  1. Jardine A. 12 month results of a phase III prospective, randomised study to evaluate concentration controlled rapamune with cyclosporin dose minimization or eliminiation in de novo renal allograft recipient [abstract no: 1206]. American Journal of Transplantation 2003;3(Suppl 5):461. [CENTRAL: CN-00445901] [DOI] [PubMed] [Google Scholar]
  2. Jardine AG. Phase III prospective, randomized study to evaluate the safety and efficacy of concentration controlled rapamune (sirolimus) with ciclosporin dose minimisation or elimination in de novo renal allograft recipients at 12 months [abstract no: 464]. American Journal of Transplantation 2004;4(Suppl 8):286. [CENTRAL: CN-00520346] [Google Scholar]
  3. Jindal RM, UK and Ireland Rapamune Study Group. A phase III prospective, randomised study to evaluate concentration controlled rapamune with cyclosporin dose minimization or elimination at six months in de novo renal allograft recipients [abstract no: 0436]. In: XIXth International Congress of the Transplantation Society; 2002 Aug 25-30; Miami (FL). 2002. [CENTRAL: CN-00415940] [DOI] [PubMed]

Kamar 2012 {published data only}

  1. Kamar N, Mariat C, Albano L, Villemain F, Moal MC, Ladriere M, et al. Improvement in renal function following conversion from low-dose mycophenolate acid to higher-dose enteric-coated mycophenolate sodium (EC-MPS) with concomitant tacrolimus reduction in maintenance kidney transplant recipients [abstract no: O-295]. Transplant International 2009;22(Suppl 2):78. [CENTRAL: CN-01657134] [Google Scholar]
  2. Kamar N, Rostaing L, Cassuto E, Villemain F, Moal MC, Ladriere M, et al. A multicenter, randomized trial of increased mycophenolic acid dose using enteric-coated mycophenolate sodium with reduced tacrolimus exposure in maintenance kidney transplant recipients. Clinical Nephrology 2012;77(2):126-36. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]

Lee 2017 {published data only}

  1. Lee SH, Park JB, Oh CK, Kim MS, Kim SJ, Ha J. Cyclosporine sparing effect of enteric-coated mycophenolate sodium in de novo kidney transplantation. Yonsei Medical Journal 2017;58(1):217-25. [MEDLINE: ] [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Oh CK, Lee SH, Kim MS, Kim SJ, Ha J. Cyclosporine sparing effect of entericcoated mycophenolate sodium in de novo kidney transplantation [abstract]. Transplant International 2015;28(Suppl 4):374. [EMBASE: 72112145] [Google Scholar]

Liu 2007b {published data only}

  1. Liu M, Zhang W, Gu M, Yin C, Zhang WY, Lv Q, et al. Protective effects of sirolimus by attenuating connective tissue growth factor expression in human chronic allograft nephropathy. Transplantation Proceedings 2007;39(5):1410-5. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]

Lo 2003 {published data only}

  1. Gaber AO, Egidi MF, Lo A, Gaber LW, Shokouh-Amiri MH, Grewal HP, et al. Defining the optimal doses of sirolimus and tacrolimus in high-risk cadaveric renal transplant recipients [abstract no: 541]. American Journal of Transplantation 2002;2(Suppl 3):274. [CENTRAL: CN-00415690] [Google Scholar]
  2. Lo A, Egidi MF, Gaber LW, Amiri HS, Vera S, Nezakatgoo N, et al. Comparison of sirolimus-based calcineurin inhibitor-sparing and calcineurin inhibitor-free regimens in cadaveric renal transplantation. Transplantation 2004;77(8):1228-35. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  3. Lo A, Egidi MF, Gaber LW, Amiri HS, Vera S, Nezakatgoo N, et al. Comparison of two different rapamycin based immunosuppressive regimens in cadaveric renal transplantation [abstract no: 1205]. American Journal of Transplantation 2003;3(Suppl 5):460-1. [CENTRAL: CN-00446446] [Google Scholar]
  4. Lo A, Egidi MF, Gaber LW, Gaber AO. Observations on the use of sirolimus and tacrolimus in high-risk renal transplant recipients. Transplantation Proceedings 2003;35(3 Suppl):105S-8S. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  5. Lo A, Egidi MF, Gaber LW, Shokouh-Amiri MH, Nazakatgoo N, Fisher JS, et al. Observations regarding the use of sirolimus and tacrolimus in high-risk cadaveric renal transplantation. Clinical Transplantation 2004;18(1):53-61. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  6. Lo A, Egidi MF, Gross B, Amiri H, Vera S, Nezakatgoo N, et al. The use of sirolimus and mycophenolate mofetil is associated with improved renal function, but similar metabolic profiles to sirolimus and tacrolimus [abstract]. American Journal of Transplantation 2004;4(Suppl 8):544. [CENTRAL: CN-00509328] [Google Scholar]

Maamoun 2010 {published data only}

  1. Maamoun H, Soliman A, Zayed B. Cyclosporine and mycophenolate mofetil 48 hours before renal transplantation enables the use of low cyclosporine doses and achieves better graft function. Transplantation Proceedings 2010;42(10):4033-6. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]

Maiorano 2006 {published data only}

  1. Maiorano A, Stallone G, Schena A, Infante B, Pontrelli P, Schena FP, et al. Sirolimus interferes with iron homeostasis in renal transplant recipients. Transplantation 2006;82(7):908-12. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]

Margreiter 2008 {published data only}

  1. Margreiter R, Klempnauer J, Neuhaus P, Muehlbacher F, Boesmueller C, Calne RY. Alemtuzumab (Campath-1H) and tacrolimus monotherapy after renal transplantation: results of a prospective randomized trial. American Journal of Transplantation 2008;8(7):1480-5. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  2. Margreiter R, Klempnauer J, Neuhaus P, Muehlbacher F. Alemtuzumab (Campath-1H) induction followed by tacrolimus monotherapy vs tacrolimus based triple drug immunosuppression in cadaveric renal transplantation - results of a multicenter trial [abstract no: 333]. American Journal of Transplantation 2007;7(Suppl 2):234. [CENTRAL: CN-00644175] [Google Scholar]

MODIFY 2012 {published data only}

  1. David-Neto E, Lemos FC, Souza PS, Ventura CG, Castro MCR, Agena F, et al. Five-year follow-up of the MoDIFY Study (Modification of Doses to Improve Function through the Years) shows benefit of low tacrolimus and regular MMF doses [abstract no: 1655]. American Journal of Transplantation 2010;10(Suppl 4):508. [EMBASE: 70465030] [Google Scholar]
  2. David-Neto E, Pereira LM, Castro MCR, Mattos RM, Sumita NM, Mendes E, et al. Interim analysis of the MODIFY study in renal transplantation [abstract no: P243]. Transplantation 2004;78(2 Suppl):278-9. [CENTRAL: CN-00509408] [Google Scholar]
  3. David-Neto E, Pereira LM, Castro MCR, Mattos RM, Sumita NM, Mendes E, et al. Therapeutic levels of mycophenolic acid under fixed doses of MMF on the first two months after kidney transplantation [abstract no: P242]. Transplantation 2004;78(2 Suppl):278. [CENTRAL: CN-00509409] [Google Scholar]
  4. David-Neto E, Pereira LM, Castro CR, Mattos RM, Sumita NM, Mendes ME, et al. Interim analysis of the MODIFY study in renal transplantation (Modification of Doses to Improve Function through the Years) [abstract no: 279]. American Journal of Transplantation 2004;4(Suppl 8):234-5. [CENTRAL: CN-00509150] [Google Scholar]
  5. David-Neto E, Pereira LM, Castro MCR, Mattos RM, Ventura CG, Sumita NM, et al. Therapeutic levels of mycophenolic acid under fixed doses of MMF on the first two months after kidney transplantation [abstract no: 353]. American Journal of Transplantation 2004;4(Suppl 8):255. [CENTRAL: CN-00509409] [Google Scholar]
  6. David-Neto E, Souza PS, Panajotopoulos N, Rodrigues H, Ventura CG, David DS, et al. The impact of pretransplant donor-specific antibodies on graft outcome in renal transplantation: a six-year follow-up study. Clinics 2012;67(4):355-61. [MEDLINE: ] [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Pereira LM, Castro MCR, Ventura CG, Reis FS, Sumita NM, Saito MI, et al. The MODIFY Study in renal transplantation (Modification of Doses to Improve Function Through the Years) [abstract no: 1216]. American Journal of Transplantation 2005;5(Suppl 11):466. [CENTRAL: CN-01657161] [Google Scholar]
  8. Pereira LM, Castro MCR, Ventura CG, Soares PS, Ferreira GF, Saldanha LB, et al. A prospective, randomized and controlled trial of tacrolimus minimization in renal transplantation: 1-year result of the MODIFY study [abstract no: 53]. American Journal of Transplantation 2006;6(Suppl 2):84. [CENTRAL: CN-00671794] [Google Scholar]

Muhlbacher 2014 {published data only}

  1. Muehlbacher F, Neumayer HH, Castillo D, Stefoni S, the European Sirolimus CsA Minimisation Study Group. An open-label study to evaluate the efficacy & safety of cyclosporine reduction in de novo renal allograft recipients receiving sirolimus: a dose comparative study [abstract no: 1224]. American Journal of Transplantation 2003;3(Suppl 5):465. [CENTRAL: CN-00446852] [Google Scholar]
  2. Muhlbacher F, Neumayer HH, del CD, Stefoni S, Zygmunt AJ, Budde K, et al. The efficacy and safety of cyclosporine reduction in de novo renal allograft patients receiving sirolimus and corticosteroids: results from an open-label comparative study. Transplant International 2014;27(2):176-86. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  3. Muhlbacher F, Paczek L. An open-label study to evaluate the efficacy & safety of cyclosporine reduction in de novo renal allograft recipients receiving sirolimus: a dose comparative study [abstract no: 399]. American Journal of Transplantation 2002;2(Suppl 3):238. [CENTRAL: CN-01912355] [Google Scholar]
  4. Neumayer H, Muhlbacher F, Stefoni S, Del Castillo D, Myfortic Maintenance Renal Transplantation Study Group. An open-label study to evaluate the efficacy & safety of cyclosporine reduction in de novo renal allograft recipients receiving sirolimus: a dose comparative study [abstract]. In: XIXth International Congress of the Transplantation Society; 2002 Aug 25-30; Miami (FL). 2002. [CENTRAL: CN-00416320]
  5. Neumayer HH, Muehlbacher F, Castillo D, Stefoni S, the European Sirolimus CsA Minimisation Study Group. An open-label study to evaluate the efficacy & safety of cyclosporine reduction in de novo renal allograft recipients receiving sirolimus: a dose comparative study [abstract no: W738]. Nephrology Dialysis Transplantation 2003;18(Suppl 4):785. [Google Scholar]

Nashan 2004 {published data only}

  1. Curtis J, Nashan B, Kovarik J, Ponticelli C, Mourad G, Figueiredo J, et al. RAD (everolimus) pharmacokinetics are unaltered with full-dose versus reduced-dose cyclosporine [abstract no: 516]. American Journal of Transplantation 2001;1(Suppl 1):299. [CENTRAL: CN-01658116] [Google Scholar]
  2. Curtis J, Nashan B, Poniicelli C, Mourad G, Boger R, RAD 156SG. One year result of a multicenter, open-label trial on safety and efficacy of certican (RAD) used in combination with simulect, corticosteroids, and full or reduced dose neoral in renal transplant [abstract no: 1335]. American Journal of Transplantation 2001;1(Suppl 1):474. [CENTRAL: CN-00444958] [Google Scholar]
  3. Curtis J, Nashan B, Ponticelli C, Mourad G, Boger R, RAD 156 Study Group. Everolimus (RAD) in combination with reduced dose with reduced dose neoral® maintains effective immunosuppression with improved tolerability compared to full dose neoral [abstract no: A4625]. Journal of the American Society of Nephrology 2001;12(Program & Abstracts):884A. [CENTRAL: CN-00550720] [Google Scholar]
  4. Curtis J, Nashan B, Ponticelli C, Mourad G, Cambon N, Boger R, et al. Multicenter, open-label study of the long-term safety and efficacy of RAD used in combination with simulect, corticosteroids and neoral in renal transplantation (RT): 6 month results [abstract no: A3602). Journal of the American Society of Nephrology 2000;11(Abstracts):685A. [CENTRAL: CN-01658115] [Google Scholar]
  5. Mourad G, Boger R, Curtis J, Nashan B, Ponticelli C, RAD B 156 Study Group. CERTICAN (TM) (RAD; EVEROLIMUS), the proliferation signal inhibitor, is complementary with a reduced dose NEORAL® based quadruple immunosuppressive regimen [abstract no: 1622]. In: A Transplant Odyssey; 2001 Aug 20-23; Istanbul, Turkey. 2001. [CENTRAL: CN-00487738]
  6. Nashan B, Curtis J, Ponticelli C, Mourad G, Boger R, RAD B 156 Study Group. Certican (RAD; everolimus), the proliferation signal inhibitor, is complementary with a reduced dose neoral based quadruple immunosuppressive regimen [abstract no: 398]. In: 10th ESOT & 12th ETCO Congress. Bridging the Future; 2001 Oct 6-11; Lisboa, Portugal. 2001. [CENTRAL: CN-00487741]
  7. Nashan B, Curtis J, Ponticelli C, Mourad G, Jaffe J, Haas T, et al. Everolimus and reduced-exposure cyclosporine in de novo renal-transplant recipients: a three-year phase II, randomized, multicenter, open-label study. Transplantation 2004;78(9):1332-40. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  8. Ponticelli C, Curtis J, Kovarik JM, Nashan B, Mourad G, Figueiredo J, et al. Everolimus pharmacokinetics are unaltered with full-dose versus reduced-dose cyclosporine [abstract no: 318]. In: 10th ESOT & 12th ETCO Congress. Bridging the Future; 2001 Oct 6-11; Lisboa, Portugal. 2001. [CENTRAL: CN-01658116]
  9. RADB156 Study Group, Boger R, Frei U, Glotz D, Kahan B, Ponticelli C, et al. CERTICAN(TM) with reduced dose NEORAL® results in a significantly higher GFR in de novo renal transplant recipients over the first 12 months compared to CERTICAN(TM)-full dose NEORAL® as assessed by iohexol clearance [abstract no: 1623]. In: A Transplant Odyssey; 2001 Aug 20-23; Istanbul, Turkey. 2001. [CENTRAL: CN-00487751]

NCT00470665 {published data only}

  1. NCT00470665. Study comparing sirolimus/prograf vs sirolimus/CsA in high-risk renal transplant recipients. https://clinicaltrials.gov/show/NCT00470665 2007.

NCT00681213 {published data only}

  1. NCT00681213. Tacrolimus/sirolimus versus tacrolimus/mycophenolate mofetil (MMF) versus Neoral/sirolimus in adult, primary kidney transplantation. https://clinicaltrials.gov/show/NCT00681213 2008.

NCT01895049 {published data only}

  1. NCT01895049. Comparison between two tacrolimus-based immunosuppressant regimens and induction with thymoglobulin in kidney transplants from deceased donors with expanded criteria. https://clinicaltrials.gov/show/NCT01895049 2013.

NCT03644485 {published data only}

  1. NCT03644485. Clinical outcome of delayed or standard prograf together with induction therapy followed by conversion to Advagraf in donation after cardiac (or circulatory) death (DCD) kidney transplant recipients. https://clinicaltrials.gov/show/NCT03644485 2018.

NEVERWOUND 2020 {published data only}

  1. Carmellini M, Boschiero L, Rigotti P, Sandrini S, Frasca GM, Minetti E, et al. Immediate introduction of everolimus does not affect wound healing and delayed graft function in kidney transplant recipients: 12-months results from NEVERWOUND study [abstract]. Transplant International 2017;20(Suppl 2):252. [EMBASE: 618770335] [Google Scholar]
  2. Carmellini M, Ruggieri G, Sforza D, Veroux M, Secchi A, Todeschini P, et al. Immediate introduction of everolimus does not affect wound healing and delayed graft function in renal transplant patients: preliminary results from NEVERWOUND study [abstract]. Transplantation 2014;98(Suppl 1):615. [EMBASE: 71545620] [Google Scholar]
  3. Carmellini M, Todeschini P, Secchi A, Sandrini S, Minetti E, Furian L, et al. Immediate introduction of everolimus does not affect wound healing and delayed graft function in kidney transplant recipients: 3-months results from NEVERWOUND study [abstract]. American Journal of Transplantation 2016;16(Suppl 3):228. [EMBASE: 611699536] [Google Scholar]
  4. Manzia TM, Carmellini M, Todeschini P, Secchi A, Sandrini S, Minetti E, et al. A 3-month, multicenter, randomized, open-label study to evaluate the impact on wound healing of the early [vs. delayed] introduction of everolimus in de novo kidney transplant recipients, with a follow-up evaluation at 12 month after transplant (NEVERWOUND study). Transplantation 2020;104(2):374-86. [MEDLINE: ] [DOI] [PMC free article] [PubMed] [Google Scholar]

Novoa 2011 {published data only}

  1. Grinyo JM, Paul J, Novoa P, Errasti P, Franco A, Aldana G, et al. Better renal function in renal-transplant recipients treated with everolimus plus CSA elimination compared with CSA reduction [abstract no: P-359]. Transplant International 2009;22(Suppl 2):183. [CENTRAL: CN-01657137] [Google Scholar]
  2. Grinyo JM, Paul J, Novoa P, Errasti P, Franco A, Aldana G, et al. Better renal function in renal-transplant recipients treated with everolimus plus cyclosporine elimination compared with cyclosporine minimisation [abstract no: 1636]. American Journal of Transplantation 2010;10(Suppl 4):503. [EMBASE: 70465011] [Google Scholar]
  3. Novoa PA, Grinyo JM, Ramos FJP, Errasti P, Franco A, Aldana G, et al. De novo use of everolimus with elimination or minimization of cyclosporine in renal transplant recipients. Transplantation Proceedings 2011;43(9):3331-9. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]

Oh 2015 {published data only}

  1. Oh CK, Ha JW, Kim YH, Kim YL, Kim YS. Safety and efficacy of the early introduction of everolimus (Certican) with low dose of cyclosporine in de novo kidney recipients after 1 month of transplantation (Preliminary results). Journal of the Korean Society for Transplantation 2012;26(2):83-91. [CENTRAL: CN-01046131] [Google Scholar]
  2. Oh CK, Huh KH, Ha J, Kim YH, Kim YL, Kim YS. Safety and efficacy of the early introduction of everolimus with reduced-exposure cyclosporine A in de novo kidney recipients. Transplantation 2015;99(1):180-6. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]

OPTICEPT 2009 {published data only}

  1. Bloom R, Kaplan B, Meier-Kriesche H, Shaw L, Shah T, Patel D, et al. Opticept Trial: efficacy and safety of monitored MMF in combination with CNI in renal transplantation at 1 and 2 years [abstract no: 862]. Transplantation 2008;86(2 Suppl):301. [CENTRAL: CN-00740509] [Google Scholar]
  2. Gaston R, Bloom R, Shah T, Cibrik D, Angelis M, Mulgaonkar S, et al. 6-month outcomes of monitored mycophenolate mofetil (MMF) in combination with calcineurin inhibitors (CNI) in renal allograft recipients: an interim analysis of the OPTICEPT trial [abstract no: TH-PO565]. Journal of the American Society of Nephrology 2006;17(Abstracts):228A. [Google Scholar]
  3. Gaston R, Kaplan B, Meier-Kriesche H, Shaw L, Shah T, Patel D, et al. Opticept Trial: efficacy and safety of monitored MMF in combination with CNI in renal transplantation at 12 months [abstract no: 526]. American Journal of Transplantation 2008;8(Suppl 2):319. [CENTRAL: CN-00653708] [Google Scholar]
  4. Gaston RS, Kaplan B, Shah T, Cibrik D, Shaw LM, Angelis M, et al. Fixed- or controlled-dose mycophenolate mofetil with standard- or reduced-dose calcineurin inhibitors: the OPTICEPT trial. American Journal of Transplantation 2009;9(7):1607-19. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  5. Kaplan B, Gaston R, Meier-Kriesche H, Bloom R, Patel D, Shaw L. Mycophenolate mofetil may require dose modification based on weight: an analysis of MPA exposure in the OptiCept Trial [abstract no: 787]. American Journal of Transplantation 2009;9(Suppl 2):419. [CENTRAL: CN-00794654] [Google Scholar]
  6. Kaplan B, Gaston RS, Meier-Kriesche HU, Bloom RD, Shaw LM. Mycophenolic acid exposure in high- and low-weight renal transplant patients after dosing with mycophenolate mofetil in the OPTICEPT trial. Therapeutic Drug Monitoring 2010;32(2):224-7. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  7. Milone MC, Israni A, Fan W, McGain D, Riccio N, Bloom R, et al. Pharmacogenetic factors affecting mycophenolate mofetil (MMF) pharmacokinetic and pharmacodynamic variability in the OPTICEPT kidney transplant study: preliminary analysis [abstract]. Transplantation 2010;90(Suppl 1):428. [EMBASE: 71531891] [Google Scholar]
  8. Shaw L, Kaplan B, Angelis M, Bloom R, Gaston R, Meier-Kriesche H, et al. Correlation between mycophenolic acid (MPA) trough and abbreviated AUC levels in renal allograft recipients in the Opticept Trial [abstract no: SU-FC128]. Journal of the American Society of Nephrology 2007;18(Abstracts):96-7A. [Google Scholar]

OPTIMA‐TX 2008 {published data only}

  1. Bolin P Jr, Shihab F, Mulloy L, Henning A, Gao J, Bartucci M, et al. Optimizing tacrolimus therapy in maintenance renal allografts: 6 month results [abstract no: 390]. American Journal of Transplantation 2006;6(Suppl 2):197-8. [CENTRAL: CN-00671805] [DOI] [PubMed] [Google Scholar]
  2. Bolin P, Mirza R, Sullivan P, Holbert D, Parker K. Optimizing tacrolimus therapy in maintenance renal allografts: a single center assessment of cardiovascular risk factors at 36 months [abstract no: 1632]. Transplantation 2008;86(2S):541. [CENTRAL: CN-01657946] [Google Scholar]
  3. Bolin P, Mirza R, Sullivan P, Holbert D, Parker KR. Optimizing tacrolimus therapy in maintenance renal allografts: a single center assessment of cardiovascular risk factors and renal function at 36 months [abstract no: SA-PO2518]. Journal of the American Society of Nephrology 2008;19(Abstracts Issue):675A. [Google Scholar]
  4. Bolin P, Parker KR, Sullivan P. Optimizing tacrolimus therapy in maintenance renal allografts: follow up of a subset of patients at 24 months [abstract no: F-PO611]. Journal of the American Society of Nephrology 2007;18(Abstracts):234A. [Google Scholar]
  5. Bolin P, Shihab F, Mulloy L, Gao J, Bartucci M, Holman J, et al. Optimizing tacrolimus therapy in maintenance renal allografts: 6 month results in African Americans (AA) [abstract no: F-PO1077]. Journal of the American Society of Nephrology 2006;17(Abstracts):563A. [Google Scholar]
  6. Bolin P, Shihab FS, Mulloy L, Henning AK, Gao J, Bartucci M, et al. Optimizing tacrolimus therapy in the maintenance of renal allografts: 12-month results. Transplantation 2008;86(1):88-95. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]

OPTIMUM 2018 {published data only}

  1. Park S, Kim YS, Lee J, Huh W, Yang CW, Kim YL, et al. Reduced tacrolimus trough level is reflected by estimated glomerular filtration rate (eGFR) changes in stable renal transplantation recipients: results of the OPTIMUM phase 3 randomized controlled study. Annals of Transplantation 2018;23:401-11. [MEDLINE: ] [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Park S, Lee J, Kim Y, Kim J, Kim Y, Huh W, et al. Organ function preservation by the combination treatment of the optimum dose of calcineurin inhibitor and mycophenolate sodium in kidney recipients: OPTIMUM Study [abstract no: B946]. American Journal of Transplantation 2013;13(Suppl 5):315. [EMBASE: 71057522] [Google Scholar]

Pankewycz 2011 {published data only}

  1. Pankewycz O, Kohli R, Wallace PK, Said M, Feng L, Patel S, et al. Low dose rabbit anti-thymocyte globulin induction therapy results in prolonged selective CD4 T cell depletion irrespective of maintenance immunosuppression [abstract no: 957]. American Journal of Transplantation 2010;10(Suppl 4):316-7. [EMBASE: 70464333] [Google Scholar]
  2. Pankewycz O, Kohli R, Wallace PK, Said M, Feng L, Patel SK, et al. Low dose rabbit anti-thymocyte globulin induction therapy results in prolonged selective CD4 T cell depletion irrespective of maintenance immunosuppression [abstract]. Transplantation 2010;90(Suppl 1):62. [EMBASE: 71531221] [DOI] [PubMed] [Google Scholar]
  3. Pankewycz O, Leca N, Kohli R, Wallace PK, Said M, Feng L, et al. Low-dose rabbit antithymocyte globulin induction therapy results in prolonged selective lymphocyte depletion irrespective of maintenance immunosuppression. Transplantation Proceedings 2011;43(2):462-5. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  4. Pankewycz O, Leca N, Kohli R, Weber-Shrikant E, Said M, Alnimri M, et al. Conversion to low-dose tacrolimus or rapamycin 3 months after kidney transplantation: a prospective, protocol biopsy-guided study. Transplantation Proceedings 2011;43(2):519-23. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  5. Pankewycz O, Leca N, Said M, Feng L, Patel S, Kohli R, et al. A protocol biopsy directed randomized trial comparing tacrolimus minimization to sirolimus conversion at 3 months results in an equivalent degree of histological injury at 1 year and equivalent renal function at 2 years [abstract no: 948]. American Journal of Transplantation 2012;12(Suppl 3):304. [EMBASE: 70746901] [Google Scholar]
  6. Pankewycz O, Leca N, Wallace P, Said M, Feng L, Patel S, et al. Rabbit anti-thymocyte globulin (rATG) induction therapy followed by tacrolimus conversion to sirolimus at 3 months does not increase Treg cells [abstract no: 1436]. American Journal of Transplantation 2012;12(Suppl 3):448. [EMBASE: 70747403] [Google Scholar]
  7. Pankewycz O, Said M, Feng L, Patel S, Alnimri M, Kohli R, et al. Conversion to low dose tacrolimus or rapamycin 3 months after kidney transplant: a prospective, protocol biopsy guided study [abstract no: 1657]. American Journal of Transplantation 2010;10(Suppl 4):509. [CENTRAL: CN-01657316] [DOI] [PubMed] [Google Scholar]
  8. Pankewycz O, Said M, Feng L, Patel SK, Alnimri M, Kohli R, et al. Conversion to low dose tacrolimus or rapamycin 3 months after kidney transplant: a prospective, protocol biopsy guided study [abstract]. Transplantation 2010;90(Suppl 1):294. [EMBASE: 71531658] [DOI] [PubMed] [Google Scholar]

Paoletti 2012 {published data only}

  1. Paoletti E, Marsano L, Bellino D, Cassottana P, Cannella G. Effect of everolimus on left ventricular hypertrophy of de novo kidney transplant recipients: a 1 year, randomized, controlled trial. Transplantation 2012;93(5):503-8. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  2. Paoletti E, Marsano L, Bellino D, Cassottana P, Rolla D, Di Maio G. Everolimus for regression of left ventricular hypertrophy of renal transplant recipients: a randomized controlled trial [abstract no: 16]. American Journal of Transplantation 2012;12(Suppl 3):31. [EMBASE: 70745963] [Google Scholar]

Pascual 2003 {published data only}

  1. Pascual M, Curtis J, Delmonico FL, Farrell ML, Williams WW, Kalil R, et al. A prospective, randomized clinical trial of cyclosporine reduction in stable patients greater than 12 months after renal transplantation. Transplantation 2003;75(9):1501-5. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]

Qazi 2017 {published data only}

  1. Peddi V, Qazi Y, Shaffer D, Luan F, Shihab F, Tomlanovich S, et al. Effect of everolimus with low dose tacrolimus vs mycophenolate with standard tacrolimus regimen in African-American de novo renal transplant recipients [abstract]. Transplantation 2014;98(Suppl 1):536. [EMBASE: 71545337] [Google Scholar]
  2. Qazi Y, Shaffer D, Kaplan B, Kim D, Luan F, Peddi V, et al. Efficacy and safety of everolimus with low-dose tacrolimus in de novo renal transplant recipients: 12-month randomized study [abstract no: 713]. Transplantation 2014;98(Suppl 1):80. [EMBASE: 71543789] [DOI] [PubMed] [Google Scholar]
  3. Qazi Y, Shaffer D, Kaplan B, Kim D, Luan FL, Peddi VR, et al. Efficacy and safety of everolimus plus low-dose tacrolimus versus mycophenolate mofetil plus standard-dose tacrolimus in de novo renal transplant recipients: 12-month data. American Journal of Transplantation 2017;17(5):1358-69. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  4. Qazi Y, Shihab F, Mulgaonkar S, MaCague K, Patel D. Everolimus in combination with reduced dose tacrolimus is effective as a prophylaxis of acute rejection in low-to-moderate immunologic risk de novo kidney transplantation patients [abstract]. American Journal of Transplantation 2016;16(Suppl 3):217. [EMBASE: 611700341] [Google Scholar]
  5. Shaffer D, Qazi Y, Kim D, Mulgaonkar S, Shihab F, Tomlanovich S, et al. Management of the wound complications in de novo renal transplant recipients: US92 12-month randomized study [abstract]. Transplantation 2014;98(Suppl 1):542-3. [EMBASE: 71545357] [Google Scholar]
  6. Shihab F, Qazi Y, Kaplan B, Kim D, Mulgaonkar S, Peddi V, et al. Everolimus-facilitated tacrolimus minimization preserves renal function in de novo renal transplant recipients [abstract]. Transplantation 2014;98(Suppl 1):538-9. [EMBASE: 71545344] [Google Scholar]
  7. Shihab F, Qazi Y, Mulgaonkar S, McCague K, Patel D, Peddi V, et al. Everolimus does not increase risk of delayed graft function or prolong duration of dialysis in renal transplantation [abstract]. American Journal of Transplantation 2017;17(Suppl 3):732. [EMBASE: 615704509] [Google Scholar]
  8. Shihab F, Qazi Y, Mulgaonkar S, McCague K, Patel D, Peddi V, et al. Relationship between clinical events and everolimus exposure at 12 months in de novo renal transplant recipients [abstract]. American Journal of Transplantation 2016;16(Suppl 3):217. [EMBASE: 611700301] [Google Scholar]
  9. Shihab F, Qazi Y, Mulgaonkar S, McCague K, Patel D, Peddi V, et al. Renal dysfunction at 12 months is not associated with everolimus exposure in de novo renal transplant recipients [abstract]. American Journal of Transplantation 2016;16(Suppl 3):544. [EMBASE: 611699273] [Google Scholar]
  10. Shihab F, Qazi Y, Mulgaonkar S, McCague K, Patel D, Peddi VR, et al. Association of clinical events with everolimus exposure in kidney transplant patients receiving low doses of tacrolimus. American Journal of Transplantation 2017;17(9):2363-71. [MEDLINE: ] [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Shihab F, Qazi Y, Peddi V, Shaffer D, McCague K, Patel D, et al. Post-hoc analysis of everolimus trough levels around the onset of related adverse events and treatment discontinuation in de novo kidney transplant recipients from the US92 study [abstract]. American Journal of Transplantation 2018;18(Suppl 4):628. [EMBASE: 622279504] [Google Scholar]
  12. Shihab F, Shaffer D, Qazi Y, Kaplan B, Vincenti F, McCague K, et al. Reduced incidence of CMV and BK virus infection with everolimus vs mycophenolate based regimen in de novo renal transplant recipients [abstract]. Transplantation 2014;98(Suppl 1):537. [EMBASE: 71545341] [Google Scholar]
  13. Shihab FS, Qazi Y, Mulgaonkar S, McCague K, Patel D, Peddi VR, et al. Everolimus with low-dose tacrolimus versus standard immunosuppressive regimen: subgroup analysis of renal function at 12 months in de novo renal transplant patients [abstract no: SA-PO457]. Journal of the American Society of Nephrology 2016;27(Abstract Suppl):734a. [EMBASE: 641132619] [Google Scholar]
  14. Vincenti F, Qazi Y, Kaplan B, Kim D, Shihab F, McCague K, et al. Influence of induction therapy on the efficacy of everolimus vs mycophenolate based regimen in de novo renal transplant recipients [abstract]. Transplantation 2014;98(Suppl 1):539-40. [EMBASE: 71545348] [Google Scholar]
  15. Vincenti F, Shaffer D, Qazi Y, Shihab F, McCague K, Patel D, et al. The effect of everolimus and tacrolimus exposure levels on renal histology parameters 6 months post-transplantation [abstract no: 450.8]. Transplantation 2016;100(7 Suppl 1):S250. [EMBASE: 613005382] [Google Scholar]
  16. Yilmaz S, Shaffer D, Qazi Y, McCague K, Patel D, Peddi V, et al. The effect of everolimus and tacrolimus exposure levels on renal histology parameters 6 months post-transplantation [abstract]. American Journal of Transplantation 2016;16(Suppl 3):484. [EMBASE: 611699510] [Google Scholar]
  17. Yilmaz S, Shaffer D, Shihab F, McCague K, Patel D, Qazi Y, et al. Everolimus with low-dose tacrolimus vs a standard immunosuppressive regimen: renal histology at 6 months in de novo renal transplant patients [abstract]. American Journal of Transplantation 2016;16(Suppl 3):216. [EMBASE: 611700205] [Google Scholar]

REFERENCE 2006 {published data only}

  1. Frimat L, Cassuto-Viguier E, Charpentier B, Noel C, Provot F, Rostaing L, et al. Impact of cyclosporine reduction with MMF: a randomized trial in chronic allograft dysfunction. The 'REFERENCE' study. American Journal of Transplantation 2006;6(11):2725-34. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  2. Frimat L, Cassuto-Viguier E, Provot F, Rostaing L, Charpentier B, Akposso K, et al. Long-term impact of cyclosporin reduction with MMF treatment in chronic allograft dysfunction: REFERENECE Study 3-year follow up. Journal of Transplantation 2010;2010:402750. [MEDLINE: ] [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Kessler M, Frimat L, Cassuto-Viguier E, Charpentier B, Djeffal R, Noel C, et al. Impact of cyclosporine reduction with MMF in chronic allograft dysfunction: 4-year results of a multicenter randomized controlled study. The "Reference" study [abstract no: 850]. American Journal of Transplantation 2006;6(Suppl 2):353. [CENTRAL: CN-00765336] [DOI] [PubMed] [Google Scholar]
  4. Kessler M, Frimat L, Charpentier B, Durrbach A, Noel C, Pruvot F, et al. Renal function evaluation after half dose reduction of Neoral® in combination with Cellcept® in renal transplant patients with altered renal function: preliminary 2 year safety and efficacy results of the MMF - REFERENCE study: a randomised, open, multicentre, prospective, controlled study [abstract no: 462]. American Journal of Transplantation 2004;4(Suppl 8):285. [CENTRAL: CN-00602100] [Google Scholar]
  5. Kessler M, Frimat L. Renal function evalution after half dose reduction of Neoral® in combination with Cellcept® in renal transplant patients with altered renal function: preliminary 2 year safety and efficacy results of the MMF-REFERENCE study: a randomised [abstract no: 013]. Transplantation 2004;78(2 Suppl):5. [CENTRAL: CN-00509272] [Google Scholar]
  6. Kessler M. Renal function evaluation after half dose reduction of Neoral in combination with Cellcept in renal transplant patients with altered renal funtion: preliminary 12 months results: randomized, open, multicentric, prospective, controlled study [abstract no: 773]. American Journal of Transplantation 2003;3(Suppl 5):350. [CENTRAL: CN-00446065] [Google Scholar]

Russ 2003 {published data only}

  1. Russ G, Campbell S, Chadban S, Eris J, O'Connell P, Pussell B, et al. The safety and efficacy of reduced- and standard-target concentration tacrolimus plus sirolimus in renal allograft recipients: preliminary 6-month results from Australia [abstract no: SA-P0496]. Journal of the American Society of Nephrology 2002;13(September, Program & Abstracts):364A. [CENTRAL: CN-00447522] [Google Scholar]
  2. Russ GR, Campbell S, Chadban S, Eris J, O'Connell P, Pussell B, et al. Reduced and standard target concentration tacrolimus with sirolimus in renal allograft recipients. Transplantation Proceedings 2003;35(3 Suppl):115-7S. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  3. Whelchel J, Paczek L, Bechstein WO, Russ G. A regimen of sirolimus and reduced-dose tacrolimus results in improved renal allograft function: combined analysis of the North American target, European and Australian sirolimus-tacrolimus trials [abstract]. American Journal of Transplantation 2003;3(Suppl 5):464. [CENTRAL: CN-00448351] [Google Scholar]

Salvadori 2007 {published data only}

  1. Salvadori M, Scolari MP, Stefoni S, Bertoni E, Sandrini S, Rigotti P, et al. Randomized trial of sodium mycophenolate (MPS) and basiliximab in combination with reduced or standard cyclosporine (CsA) in old recipients of kidney transplant (KTx) [abstract no: O069]. Transplant International 2007;20(Suppl 2):20. [CENTRAL: CN-01657166] [Google Scholar]
  2. Salvadori M, Scolari MP, Stefoni S, Bertoni E, Sandrini S, Rigotti P, et al. Randomized trial of sodium mycophenolate and basiliximab in combination with reduced or standard cyclosporine exposure in old recipients of kidney transplants from deceased donors [abstract no: 108]. Transplantation 2008;86(2 Suppl):39. [CENTRAL: CN-00679020] [Google Scholar]

Saunders 2003 {published data only}

  1. Saunders RN, Bicknell GR, Nicholson ML. The impact of cyclosporine dose reduction with or without the addition of rapamycin on functional, molecular, and histological markers of chronic allograft nephropathy. Transplantation 2003;75(6):772-80. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]

Shetty 2015 {published data only}

  1. Gallon L, Leventhal J, Maluf D, Sai B, Shetty A, Traitanon O, et al. Molecular profiles of renal allograft biopsies at 12 months post renal transplant in patients exposed to low dose CNI and everolimus vs. patients exposed to full dose CNI and MMF [abstract]. American Journal of Transplantation 2017;17(Suppl 3):230. [EMBASE: 615704855] [Google Scholar]
  2. Kassis Y, Park S, Shetty A, Leventhal J, Mas V, Gallon L. Long term outcomes of a steroid free, low dose tacrolimus with everolimus regimen in kidney transplant [abstract]. American Journal of Transplantation 2018;18(Suppl 4):800-1. [EMBASE: 622280693] [Google Scholar]
  3. Shetty A, Leventhal J, Traitanon O, Alvarado A, Mas V, Mathew J, et al. Prospective study of a steroid free, low dose tacrolimus and everolimus combination regimen in kidney transplant [abstract]. American Journal of Transplantation 2015;15(Supp 3):n/a. [EMBASE: 71954083] [Google Scholar]
  4. Shetty A, Opas T, Mathew J, Mas V, Leventhal J, Sustento-Reodica N, et al. Impact of low dose tacrolimus with everolimus regimen on renal pathology and t-regulatory cells in kidney transplant [abstract]. American Journal of Transplantation 2016;16(Suppl 3):218. [EMBASE: 611700367] [Google Scholar]
  5. Shetty A, Traitanon O, Ansari M, Mathew J, Leventhal J, Mas V, et al. Prospective randomized study of a steroid free, low dose tacrolimus with everolimus regimen in kidney transplant [abstract]. American Journal of Transplantation 2016;16(Suppl 3):535-6. [EMBASE: 611700126] [Google Scholar]

SLOW & LOW 2023 {published data only}

  1. Stumpf J, Budde K, Witzke O, Sommerer C, Thomas V, Schenker P, et al. Fixed low dose versus concentration-controlled initial tacrolimus dosing: Results from a prospective randomized controlled trial (SLOW&LOW STUDY) [abstract]. Nephrology dialysis transplantation 2023;38(Suppl 1):i934‐5. [DOI: 10.1093/ndt/gfad063c_4233] [EMBASE: 641942359] [DOI] [Google Scholar]
  2. Stumpf J, Budde K, Witzke O, Sommerer C, Vogel T, Schenker P, et al. Fixed low dose versus concentration-controlled initial tacrolimus dosing with reduced target levels in the course after kidney transplantation: results from a prospective randomized controlled non-inferiority trial (Slow & Low study). EClinicalMedicine 2024;67:102381. [PMID: ] [DOI] [PMC free article] [PubMed] [Google Scholar]

SOCRATES 2014 {published data only}

  1. Chadban SJ, Eris JM, Kanellis J, Pilmore H, Lee PC, Lim SK, et al. A randomized, controlled trial of everolimus-based dual immunosuppression versus standard of care in de novo kidney transplant recipients. Transplant International 2014;27(3):302-11. [MEDLINE: ] [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Chadban SJ, Russ G, Kanellis J, Pilmore HL, Kim YS, Tan SY, et al. A multicentre RCT of early switch to everolimus plus steroids or everolimus plus CsA versus CsA, MPA and steroids in de novo kidney transplant recipients: 12 month analysis [abstract no: TH-OR155]. Journal of the American Society of Nephrology 2011;22(Abstract Suppl):38A. [Google Scholar]
  3. Russ G, Eris J, Kanellis J, Hutchison B, Hibberd A, Pilmore H, et al. Multicentre RCT of early switch to everolimus plus steroids or everolimus plus CSA versus CSA, MPA and steroids in de novo kidney transplant recipients: 12 month analysis [abstract no: 93]. In: Transplantation Society of Australia & New Zealand (TSANZ). 30th Annual Scientific Meeting; 2012 Jun 27-29; Canberra (ACT). 2012:103. [CENTRAL: CN-01912372]

Stallone 2005 {published data only}

  1. Infante B, Stallone G, Pontrelli P, Gigante M, Ranieri E, Schena FP, et al. Role of rapamycin in the induction of operational tolerance through up-regulation of ILT3 and ILT4 in kidney transplanted patients [abstract no: F-FC248]. Journal of the American Society of Nephrology 2008;19(Abstracts Issue):56A. [Google Scholar]
  2. Stallone G, Infante B, Schena A, Battaglia M, Ditonno P, Loverre A, et al. Rapamycin for treatment of chronic allograft nephropathy in renal transplant patients. Journal of the American Society of Nephrology 2005;16(12):3755-62. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  3. Stallone G, Pontrelli P, Infante B, Gigante M, Netti GS, Gesualdo L, et al. Sirolimus (SRL) induces ILT3 high ILT4 high dendritic cells (DC) promoting a new immunoregolatory pathway [abstract no: SA-PO993]. Journal of the American Society of Nephrology 2012;23(Abstract Suppl):869A. [Google Scholar]
  4. Stallone G, Pontrelli P, Infante B, Gigante M, Netti GS, Ranieri E, et al. Rapamycin induces ILT3(high)ILT4(high) dendritic cells promoting a new immunoregulatory pathway. Kidney International 2014;85(4):888-97. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]

Stevens 2008 {published data only}

  1. Stevens R, Foster K, Miles C, Rigley T, Kalil A, Wrenshall L. A randomized 2X2 factorial trial: part 1, single-dose rATG induction improves long-term renal transplant outcomes [abstract]. Transplantation 2014;98(Suppl 1):91. [EMBASE: 71543822] [Google Scholar]
  2. Stevens R, Foster K, Miles C, Rigley T, Wrenshall L. A randomized trial of renal transplantation: steroid and calcineurin-inhibitor withdrawal after rabbit anti-thymocyte globulin induction [abstract]. Transplantation 2014;98(Suppl 1):476. [EMBASE: 71545124] [Google Scholar]
  3. Stevens RB, Foster KW, Lane JT, Miles CD, Kalil AC, Sandoz JP, et al. Significantly reduced renal allograft histopathology after single-dose rATG induction and calcineurin-inhibitor withdrawal vs. minimization: Final report from a prospective, randomized clinical trial [abstract]. American Journal of Transplantation 2011;11(Suppl 2):209-10. [EMBASE: 70405636] [Google Scholar]
  4. Stevens RB, Foster KW, Miles CD, Kalil AC, Florescu DF, Sandoz JP, et al. A randomized 2x2 factorial clinical trial of renal transplantation: steroid-free maintenance immunosuppression with calcineurin inhibitor withdrawal after six months associates with improved renal function and reduced chronic histopathology. PLoS One [Electronic Resource] 2015;10(10):e0139247. [MEDLINE: ] [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Stevens RB, Foster KW, Miles CD, Lane JT, Kalil AC, Florescu DF, et al. A randomized 2x2 factorial trial, part 1: single-dose rabbit antithymocyte globulin induction may improve renal transplantation outcomes. Transplantation 2015;99(1):197-209. [MEDLINE: ] [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Stevens RB, Kalil AC, Miles CD, Florescu DF, Lane JT, Skorupa AJ, et al. Reduced patient mortality and infectious complications, and superior graft function, in renal transplant patients after single-dose RATG induction; 5-year data from a prospective, randomized trial [abstract no: 38]. American Journal of Transplantation 2010;10(Suppl 4):49-50. [EMBASE: 70463399] [Google Scholar]
  7. Stevens RB, Lane JT, Boerner BP, Miles CD, Rigley TH, Sandoz JP, et al. Single-dose rATG induction at renal transplantation: superior renal function and glucoregulation with less hypomagnesemia. Clinical Transplantation 2012;26(1):123-32. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  8. Stevens RB, Lane JT, Boerner BP, Miles CD, Rigley TH, Sandoz JP, et al. Single-dose rabbit anti-thymocyte globulin (rATG) induction reduces tubular injury after renal transplantation, resulting in superior renal function, serum Mg++ retention, and glucose regulation [abstract no: 1703]. American Journal of Transplantation 2010;10(Suppl 4):522. [EMBASE: 70465078] [Google Scholar]
  9. Stevens RB, Mercer D, Rigley T, Nielsen K, Henning M, Skorupa A, et al. Single-dose induction with rabbit anti-thymocyte globulin (rATG) safely improves renal allograft function and reduces chronic allograft nephropathy [abstract no: 538]. American Journal of Transplantation 2008;8(Suppl 2):322. [CENTRAL: CN-00653788] [Google Scholar]
  10. Stevens RB, Mercer DF, Grant WJ, Freifeld AG, Lane JT, Groggel GC, et al. Randomized trial of single-dose versus divided-dose rabbit anti-thymocyte globulin induction in renal transplantation: an interim report. Transplantation 2008;85(10):1391-9. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  11. Stevens RB, Rigley T, Skorupa J, Nielsen K, Wrenshall L. Single dose induction with rabbit anti-thymocyte globulin (RATG) safely improves renal allograft function and reduces chronic allograft nephropathy [abstract no: 1960]. Transplantation 2008;86(Suppl 2):644. [Google Scholar]
  12. Stevens RB, Rigley T, Skorupa J, Nielsen K, Wrenshall L. Successful calcineurin-inhibitor (CI) discontinuation following early steroid withdrawal (ESW) in renal allograft recipients: reduced chronic allograft nephropathy (CAN) and improved renal function without increased rejection or graft loss [abstract no: 2123]. Transplantation 2008;86(2 Suppl):695. [CENTRAL: CN-01912457] [Google Scholar]
  13. Stevens RB, Rigley TH, Nielsen KJ, Skorupa A, Sandoz J, Kellogg A, et al. Single-dose induction with rabbit anti-thymocyte globulin (rATG; 6 mg/kg over 24 hours) is safer and improves immediate and long-term renal allograft function [abstract no: 616]. American Journal of Transplantation 2009;9(Suppl 2):369. [EMBASE: 70010489] [Google Scholar]
  14. Stevens RB, Rigley TH, Nielsen KJ, Skorupa JY, Skorupa A, Sandoz J, et al. Calcineurin-inhibitor (CI) discontinuation following early steroid withdrawal (ESW) in renal allograft recipients without increase rejection or graft loss [abstract no: 1100]. American Journal of Transplantation 2009;9(Suppl 2):501. [CENTRAL: CN-01912370] [Google Scholar]
  15. Stevens RB, Skorupa JY, Rigley TH, Sandoz JP, Kellogg A, Miller N, et al. Calcineurin-inhibitor withdrawal vs minimization after kidney transplantation is safe but does not improve renal function; 5-year results of a prospective, randomized trail [abstract no: 1643]. American Journal of Transplantation 2010;10(Suppl 4):505. [CENTRAL: CN-01912369] [Google Scholar]
  16. Stevens RB, Wrenshall L, Mercer D, Rigley T, Nielsen K, Henning M, et al. Successful calcineurin-inhibitor (CI) discontinuation following early steroid withdrawal (ESW) in renal allograft recipients; reduced chronic allograft nephropathy (CAN) and improved renal function without increased rejection or graft loss [abstract no: 289]. American Journal of Transplantation 2008;8(Suppl 2):255. [CENTRAL: CN-00653790] [Google Scholar]
  17. Stevens RB. Modern approaches to combining sirolimus with calcineurin inhibitors. Transplantation Proceedings 2008;40(10 Suppl):S21-4. [EMBASE: 2008594964] [DOI] [PubMed] [Google Scholar]

SYMPHONY 2007 {published data only}

  1. Bagul A, Nicholson M, Chavez R, Grinyo J, Frei U, Vanrentergehm Y, et al. Low-dose sirolimus in the first 8 weeks following renal transplantation accompanied by daclizumab induction, MMF and steroids: The experience of the SYMPHONY study [abstract no: P23]. In: British Transplantation Society (BTS).10th Annual Congress; 2007 Mar 28-30; Manchester, UK. 2007. [CENTRAL: CN-01657142]
  2. Chavez R, Nicholson M, Grinyo J, Frei U, Vanrenterghem Y, Daloze P, et al. SYMPHONY - Comparing efficacy of standard immunosuppression to low-dose cyclosporine, tacrolimus or sirolimus in combination with MMF, daclizumab and corticosteroids in renal transplantation. Sub analysis of GFR in cases that completed one year within an intended regime [abstract no: O06]. In: British Transplantation Society (BTS).10th Annual Congress; 2007 Mar 28-30; Manchester, UK. 2007.
  3. Claes K, Meier-Kriesche HU, Schold JD, Vanrenterghem Y, Halloran PF, Ekberg H. Effect of different immunosuppressive regimens on the evolution of distinct metabolic parameters: evidence from the Symphony study. Nephrology Dialysis Transplantation 2012;27(2):850-7. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  4. Colom H, Fernandez De Troconiz I, Caldes A, Oppenheimer F, Sanchez Plumed J, Gentil MA, et al. Population pharmacokinetics of mycophenolic acid in combination with free or reduced doses of calcineurin inhibitors during the first week in renal transplant: the Symphony Study [abstract no: 105]. Transplantation 2008;86(2 Suppl):37. [CENTRAL: CN-00678981] [Google Scholar]
  5. Daloze P, Ekberg H, Vincenti F, Tedesco-Silva H, Pearson T. Low-dose sirolimus in the first 8 weeks following renal transplantation accompanied by daclizumab induction, MMF and steroids: the experience of the SYMPHONY Study [abstract no: F-PO1078]. Journal of the American Society of Nephrology 2006;17(Abstracts):563A. [CENTRAL: CN-01912358] [Google Scholar]
  6. Demirbas A, Hugo C, Grinyo J, Frei U, Gurkan A, Marcen R, et al. Low toxicity regimens in renal transplantation: a country subset analysis of the Symphony study. Transplant International 2009;22(12):1172-81. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  7. Demirbas A, Hugo C, Grinyo J, Frei U, Gurkan A, Marcen R, et al. Results of the Symphony Study are applicable across transplant populations; experience from Spain, Turkey and Germany [abstract no: P581]. Transplant International 2007;20(Suppl 2):234. [CENTRAL: CN-01657143] [Google Scholar]
  8. Ekberg H, Bernasconi C, Halloran P. CNI minimisation with 2 G mycophenolate mofetil - what have we learned from the Symphony Study [abstract no: 964]. Transplantation 2008;86(2 Suppl):334. [CENTRAL: CN-0067178] [Google Scholar]
  9. Ekberg H, Bernasconi C, Noldeke J, Yussim A, Mjornstedt L, Erken U, et al. Cyclosporine, tacrolimus and sirolimus retain their distinct toxicity profiles despite low doses in the Symphony study. Nephrology Dialysis Transplantation 2010;25(6):2004-10. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  10. Ekberg H, Bernasconi C, Noldeke J, Yussim A, Mjornstedt L, Erken U, et al. Cyclosporine, tacrolimus and sirolimus retained their distinct toxicity profiles despite low doses in the Symphony Study [abstract no: 55]. American Journal of Transplantation 2007;7(Suppl 2):160. [CENTRAL: CN-00653721] [DOI] [PubMed] [Google Scholar]
  11. Ekberg H, Halloran P, Vanrenterghem Y, Schold J, Meier-Kriesche H. Renal function progression following DGF and early AR is not impaired if function is restored: evidence from the Symphony Study [abstract no: P583]. Transplant International 2007;20(Suppl 2):235. [CENTRAL: CN-01912363] [Google Scholar]
  12. Ekberg H, Mamelok R, Bernasconi C, Vincenti F, Tedesco-Silva H, Daloze P, et al. The challenge of meeting target drug concentrations: experience from the Symphony study [abstract no: 58]. American Journal of Transplantation 2007;7(Suppl 2):161. [CENTRAL: CN-00615834] [Google Scholar]
  13. Ekberg H, Tedesco-Silva H, Demirbas A, Bitko S, Klempnauer J, Gurkan A, et al. Improved outcomes after de novo renal transplantation: 2-year results from the Symphony Study [abstract no: 531]. American Journal of Transplantation 2008;8(Suppl 2):320. [CENTRAL: CN-00653754] [Google Scholar]
  14. Ekberg H, Tedesco-Silva H, Demirbas A, Vitko S, Klempnauer J, Gurkan A, et al. CNI sparing in de novo renal transplantation: 3-year results from the Symphony Study [abstract no: LB04]. American Journal of Transplantation 2008;8(Suppl 2):336. [CENTRAL: CN-00653755] [Google Scholar]
  15. Ekberg H, Tedesco-Silva H, Demirbas A, Vitko S, Klempnauer J, Gurkan A, et al. CNI sparing with mycophenolate mofetil in de novo renal transplantation: 3-year results from the Symphony Study [abstract no: 623]. Transplantation 2008;86(2 Suppl):218. [CENTRAL: CN-00676055] [Google Scholar]
  16. Ekberg H, Tedesco-Silva H, Demirbas A, Vitko S, Nashan B, Gurkan A, et al. Reduced exposure to calcineurin inhibitors in renal transplantation. New England Journal of Medicine 2007;357(25):2562-75. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  17. Ekberg H, Tedesco-Silva H, Demirbas A, Vitko S, Nashan B, Gurkan A, et al. Symphony - comparing standard immunosuppression to low-dose cyclosporine, tacrolimus or sirolimus in combination with MMF, daclizumab and corticosteroids in renal transplantation [abstract no: 49]. American Journal of Transplantation 2006;6(Suppl 2):83. [CENTRAL: CN-01912360] [Google Scholar]
  18. Ekberg H, Vincenti F, Tedesco da Silva H, Daloze P, Pearson T. Low-dose sirolimus in the first 8 weeks following renal transplantation accompanied by daclizumab induction, MMF and steroids: the experience of the Symphony Study [abstract no: 691]. American Journal of Transplantation 2006;6(Suppl 2):300. [CENTRAL: CN-00602015] [Google Scholar]
  19. Frei U, Daloze P, Vitko S, Klempnauer J, Reyes-Acevedo R, Titiz I, et al. Acute rejection in low-toxicity regimens: clinical impact and risk factors in the Symphony study. Clinical Transplantation 2010;24(4):500-9. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  20. Frei U, Daloze P, Vitko S, Klempnauer J, Reyes-Acevedo R, Titiz I, et al. Characterization of acute rejections and associated relative risk factors in the Symphony Study [abstract no: 245]. American Journal of Transplantation 2007;7(Suppl 2):210. [CENTRAL: CN-00653713] [Google Scholar]
  21. Frei U, Ekberg H, Tedesco-Silva H, Demirbas A, Vitko S, Nashan B, et al. SYMPHONY - comparing standard immunosuppression to low-dose cyclosporine, tacrolimus or sirolimus in combination with MMF, daclizumab and corticosteroids in renal transplantation [abstract no: F-FC152]. Journal of the American Society of Nephrology 2006;17(Abstracts):69A. [CENTRAL: CN-00602018] [Google Scholar]
  22. Grinyo J, Ekberg H, Oppenheimer F, Gentil MA, Hernandez D, Plumed JS, et al. Pharmacokinetics of total and free mycophenolic acid in renal transplantation receiving standard-dose cyclosporine, low-dose cyclosporine, low-dose tacrolimus or low-dose sirolimus: the Symphony PK sub-study [abstract no: P342]. Transplant International 2007;20(Suppl 2):177. [CENTRAL: CN-00653737] [Google Scholar]
  23. Grinyo J, Ekberg H, Oppenheimer F, Plumed J, Rodriguez G, Hernandez D, et al. Pharmacokinetics of total and free mycophenolic acid (MPA) when mycophenolate mofetil (MMF) is administered with low-dose tacrolimus, low-dose cyclosporine, low-dose sirolimus or standard-dose cyclosporine in renal transplantation. Results of the Symphony PK substudy [abstract no: 824]. American Journal of Transplantation 2006;6(Suppl 2):345. [CENTRAL: CN-00602016] [Google Scholar]
  24. Grinyo J, Ekberg H, Oppenheimer F, Plumed J, Rodriguez G, Hernandez D, et al. Pharmacokinetics of total and free mycophenolic acid in renal transplantation receiving standard-dose cyclosporine, low-dose cyclosporine, low-dose tacrolimus or low-dose sirolimus: the Symphony PK sub-study [abstract no: 1151]. American Journal of Transplantation 2007;7(Suppl 2):443. [CENTRAL: CN-01912452] [Google Scholar]
  25. Grinyo JM, Ekberg H, Mamelok RD, Oppenheimer F, Sanchez-Plumed J, Gentil MA, et al. The pharmacokinetics of mycophenolate mofetil in renal transplant recipients receiving standard-dose or low-dose cyclosporine, low-dose tacrolimus or low-dose sirolimus: the Symphony pharmacokinetic substudy. Nephrology Dialysis Transplantation 2009;24(7):2269-76. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  26. Halloran P, Meier-Kriesche HU, Schold J, Vanrenterghem Y. Blood pressure in the first year following renal transplantation is associated with immunosuppressive regimens: evidence from the Symphony study [abstract no: 1137]. American Journal of Transplantation 2007;7(Suppl 2):439. [CENTRAL: CN-00615835] [Google Scholar]
  27. Hugo C, Frei U, Margreiter R, Peeters P, Ok E, Viebahn R, et al. Elderly kidney transplant recipients are a high-risk group for death, infections and PTx diabetes: evidence from the Symphony study [abstract no: 154]. American Journal of Transplantation 2007;7(Suppl 2):186. [CENTRAL: CN-00724927] [Google Scholar]
  28. Hugo C, Frei U, Margreiter R, Peeters P, Toz H, Viebahn R, et al. Marginal donor quality transmits a high risk profile in elderly but not young renal transplant patients - a subgroup analysis of the Symphony Study [abstract no: F-PO1471]. Journal of the American Society of Nephrology 2008;19(Abstracts Issue):436A. [Google Scholar]
  29. Kuypers D, Ekberg H, Oppenheimer F, Plumed J, Rodriguez G, Hernandez D, et al. Pharmacokinetics of total and free mycophenolic acid (MPA) when mycophenolate mofetil (MMF) is administered with low-dose tacrolimus, low-dose cyclosporine, low-dose sirolimus or standard-dose cyclosporine in renal transplantation. Results of the SYMPHONY PK substudy [abstract no: TH-PO564]. Journal of the American Society of Nephrology 2006;17(Abstracts):227A. [CENTRAL: CN-01912359] [Google Scholar]
  30. Llaudo I, Colom H, Gimenez-Bonafe P, Torras J, Caldes A, Sarrias M, et al. Do drug transporter (ABCB1) SNPs and P-glycoprotein function influence cyclosporine and macrolides exposure in renal transplant patients? Results of the pharmacogenomic substudy within the SYMPHONY study. Transplant International 2013;26(2):177-86. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  31. Lloberas N, Brunet M, Torras J, Cruzado JM, Oppenheimer F, Sanchez-Plumed J, et al. Influence of MRP2 and UGT1A9 polimorphisms in the MPA pharmacokinetics in renal transplant recipients. Results of the pharmacogenonic substudy within the Symphony Study [abstract no: TH-PO508]. Journal of the American Society of Nephrology 2008;19(Abstracts Issue):220A. [DOI] [PubMed] [Google Scholar]
  32. Lloberas N, Brunet M, Torras J, Oppenheimer F, Sanchez-Plumed J, Gentil MA, et al. Influence of MRP2 and UGT1A9 polimorphisms in the MPA pharmacokinetics in renal transplant substudy within the Symphony Study [abstract no: 2243]. Transplantation 2008;86(2 Suppl):733. [CENTRAL: CN-00671787] [DOI] [PubMed] [Google Scholar]
  33. Lloberas N, Llaudo I, Torras J, Caldes A, Cruzado JM. Polymorphisms of the MDR1 gene in renal transplant recipients affect the PGP activity. Results of the pharmacogenetic substudy within the Symphony Study [abstract no: 2244]. Transplantation 2008;86(2 Suppl):734. [CENTRAL: CN-00671786] [Google Scholar]
  34. Lloberas N, Llaudo I, Torras J, Cruzado JM, Caldes A, Oppenheimer F, et al. Polymorphisms of the MDR1 gene in renal transplant recipients affect the PGP activity. Results of the pharmacogenomic substudy (Symphony Study) [abstract no: TH-PO507]. Journal of the American Society of Nephrology 2008;19(Abstracts Issue):220A. [Google Scholar]
  35. Lloberas N, Torras J, Cruzado JM, Andreu F, Oppenheimer F, Sanchez-Plumed J, et al. Influence of MRP2 on MPA pharmacokinetics in renal transplant recipients-results of the Pharmacogenomic Substudy within the Symphony Study. Nephrology Dialysis Transplantation 2011;26(11):3784-93. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  36. Meier-Kriesche H, Halloran P, Vanrenterghem Y, Schold J. Early immunosuppression exposure and incidence of acute rejection and renal function progression: evidence from the Symphony Study [abstract no: 244]. American Journal of Transplantation 2007;7(Suppl 2):210. [CENTRAL: CN-00724894] [Google Scholar]
  37. Meier-Kriesche H, Schold J, Vanrenterghem Y, Halloran P, Ekberg H. Factors associated with BMI increases early after renal transplantation: evidence from the Symphony Study [abstract no: P582]. Transplant International 2007;20(Suppl 2):234. [CENTRAL: CN-01912362] [Google Scholar]
  38. O'Connell PJ, Walker RG, Ierino F, Eris J, Russ G, Grinyo J, et al. Results of the SYMPHONY trial in renal transplantation - comparing standard immunosuppression to low dose cyclosporine (low-CSA), tacrolimus (low-TAC) or sirolimus (low-SRL with MMF, daclizumab and corticosteroids [abstract]. Immunology and Cell Biology 2007;85(4):A33. [CENTRAL: CN-01657144] [Google Scholar]
  39. Oppenheimer F, Rebello P, Grinyo JM, Ortega F, Sanchez-Plumed J, Gonzalez-Molina M, et al. Health-related quality of life of patients receiving low toxicity immunosuppressive regimens. Preliminary Results of the Quality of Life Substudy of the Elite Symphony Study [abstract no: TH-PO566]. Journal of the American Society of Nephrology 2006;17(Abstracts):228A. [CENTRAL: CN-00747305] [Google Scholar]
  40. Oppenheimer F, Rebollo P, Grinyo JM, Ortega F, Sanchez J, Gonzalez M, et al. Health care resource consumption (HCRC) of patients recieving low toxicity immunosuppressive regimens. One year follow up results of the quality of life substudy within the Symphony study [abstract no: P108]. Transplant International 2007;20(Suppl 2):121. [CENTRAL: CN-00724895] [Google Scholar]
  41. Oppenheimer F, Rebollo P, Grinyo JM, Ortega F, Sanchez-Plumed J, Gonzalez-Molina M, et al. Cost-effectiveness analysis of adverse events in low toxicity immunosuppressive regimens, preliminary results of the quality of life substudy within the Symphony Study [abstract no: 107]. Transplantation 2008;86(2 Suppl):38. [CENTRAL: CN-00677744] [Google Scholar]
  42. Oppenheimer F, Rebollo P, Grinyo JM, Ortega F, Sanchez-Plumed J, Gonzalez-Molina M, et al. Health-related quality of life of patients receiving low-toxicity immunosuppressive regimens: a substudy of the Symphony study. Transplantation 2009;87(8):1210-3. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  43. Vanrenterghem Y, Meier-Kriesche H, Schold J, Halloran P, Ekberg H. Levels and progression of parameters associated with metabolic syndrome by immunosuppressive regimen: evidence from the Symphony Study [abstract no: P580]. Transplant International 2007;20(Suppl 2):234. [CENTRAL: CN-01912361] [Google Scholar]

Takahashi 2013a {published data only}

  1. Goto N, Watarai Y, Narumi S, Yamamoto T, Tsujita M, Hiramitsu T, et al. Lower incidence of cytomegalovirus infection with everolimus based immunosuppression versus mycophenolate in de novo renal transplants with 5 years follow-up [abstract]. Transplantation 2014;98(Suppl 1):621. [EMBASE: 71545639] [Google Scholar]
  2. Hiramitsu T, Okada M, Futamura K, Yamamoto T, Tsujita M, Goto N, et al. 5-year follow-up of a randomized clinical study comparing everolimus plus reduced-dose cyclosporine with mycophenolate mofetil plus standard-dose cyclosporine in de novo kidney transplantation: Retrospective single center assessment. International Immunopharmacology 2016;39:192-8. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  3. Nakagawa K, Kenmochi T, Watarai Y, Kamisawa O. Efficacy and safety of everolimus plus reduced-dose cyclosporine in recipients of living-related and unrelated kidney donors: a 24-month sub-analysis from the A1202 study [abstract]. Transplant International 2017;30(Suppl 2):474. [EMBASE: 618769145] [Google Scholar]
  4. Narumi S, Watarai Y, Goto N, Hiramitsu T, Okada M, Tsujita M, et al. Long-term efficacy and safety of everolimus based immunosuppression on de novo kidney transplantation with 9 years follow-up. American Journal of Transplantation 2018;18(Suppl 4):797. [EMBASE: 622280454] [Google Scholar]
  5. Narumi S, Watarai Y, Goto N, Hiramitsu T, Tsujita M, Okada M, et al. Everolimus-based immunosuppression possibly suppresses mean fluorescence intensity values of de novo donor-specific antibodies after primary kidney transplantation. Transplantation Proceedings 2019;51(5):1378-81. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  6. Narumi S, Watarai Y, Goto N, Hiramitsu T, Tsujita M, Yamamoto T, et al. Efficacy and safety of everolimus based immunosuppression on de novo kidney transplantation with 5 years follow-up especially in protocol biopsy findings and donor specific antibody production [abstract]. Transplantation 2014;98(Suppl 1):537. [EMBASE: 71545340] [Google Scholar]
  7. Narumi S, Watarai Y, Goto N, Hiramitsu T, Tsujita M, Yamamoto T, et al. Impacts of mycophenolate mofetile addition to very low exposure everolimus and calcineurin inhibitor based immunosuppression in de novo kidney transplantation [abstract]. Transplant International 2015;28(Suppl 4):268-9. [EMBASE: 72112005] [Google Scholar]
  8. Narumi S, Watarai Y, Goto N, Hiramitsu T, Yamamoto T, Tsujita M, et al. Long-term efficacy and safety of everolimus based immunosuppression on de novo kidney transplantation with 7 years follow-up [abstract]. Nephrology Dialysis Transplantation 2016;31(Suppl 1):i573. [EMBASE: 72327554] [Google Scholar]
  9. Saito K, Uchida K, Takahara S, Yoshimura N, Teraoka S, Cornu-Artis C, et al. Efficacy of everolimus with reduced cyclosporine in Japanese de novo renal transplant recipients: 24-month, randomized, multicenter study [abstract no: B944]. American Journal of Transplantation 2013;13(Suppl S5):314. [EMBASE: 71057520] [Google Scholar]
  10. Takahara S, Uchida K, Yoshimura N, Teraoka S, Kobayashi E, Teshima R, et al. Efficacy and safety of concentration controlled everolimus with reduced dose cyclosporine in Japanese adult de-novo renal transplant patients: 12 month results [abstract no: 935]. American Journal of Transplantation 2012;12(Suppl 3):300. [EMBASE: 70746888] [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Takahashi K, Uchida K, Yoshimura N, Takahara S, Teraoka S, Teshima R, et al. Efficacy and safety of concentration-controlled everolimus with reduced-dose cyclosporine in Japanese de novo renal transplant patients: 12-month results. Transplantation Research 2013;2(1):14. [MEDLINE: ] [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Takeda A, Watarai Y, Narumi S, Yamamoto T, Tsujita M, Hiramitsu T, et al. Proteinuria and histopathological change of everolimus based immunosuppression on de novo kidney transplantation with 5 years follow-up in protocol biopsies [abstract]. Transplantation 2014;98(Suppl 1):454. [EMBASE: 71545049] [Google Scholar]
  13. Uchida K, Hoshinaga K, Watarai Y, Goto N, Kusaka M, Sasaki H, et al. Pharmacokinetics of everolimus when combined with cyclosporine in Japanese de novo renal transplant recipients. Transplantation Proceedings 2014;46(5):1314-8. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  14. Watarai Y, Akutsu N, Saito K, Nakagawa Y, Kamisawa O, Kenmochi T. Everolimus plus reduced-exposure calcineurin inhibitor versus mycophenolate mofetil plus standard-exposure calcineurin inhibitor: 2-year results in living donor kidney transplant recipients [abstract]. American Journal of Transplantation 2015;15(Supp 3):n/a. [EMBASE: 71953410] [Google Scholar]
  15. Watarai Y, Narumi S, Goto N, Hiramitsu T, Tsujita M, Yamamoto T, et al. Efficacy and safety of everolimus based immunosuppression on de novo kidney transplantation with 5 years follow-up especially in protocol biopsy findings and donor specific antibody production [abstract]. Nephrology Dialysis Transplantation 2014;29(Suppl 3):iii560. [EMBASE: 71493087] [Google Scholar]
  16. Watarai Y, Narumi S, Tomosugi T, Futamura K, Okada M, Tsujita M, et al. Long-term efficacy and safety of everolimus based immunosuppression on de novo kidney transplantation with 10 years follow up [abstract]. American Journal of Transplantation 2019;19(Suppl 3):681. [EMBASE: 628453832] [Google Scholar]
  17. Watarai Y, Okada M, Futamura K, Ito K, Yamamoto T, Tsujita M, et al. Impacts of mycophenolate mofetile addition to very low exposure everolimus and calcineurin inhibitor based immunosuppression in de novo kidney transplantation [abstract]. American Journal of Transplantation 2015;15(Suppl 3):B71. [EMBASE: 71953820] [Google Scholar]
  18. Watarai Y, Okada M, Futamura K, Nagai T, Yamamoto T, Tsujita M, et al. Long-term efficacy and safety of everolimus based immunosuppression on de novo kidney transplantation with 7 years follow-up [abstract]. American Journal of Transplantation 2016;16(Suppl 3):537. [EMBASE: 611700338] [Google Scholar]
  19. Yoshida K, Watarai Y, Nakagawa K, Kamisawa O. Effect of everolimus plus reduced-dose cyclosporine on graft outcomes in kidney transplant recipients with >=3 HLA mismatches: 24-month results from the A1202 study [abstract]. Transplant International 2017;30(Suppl 2):476-7. [EMBASE: 618769624] [Google Scholar]

Tang 2006 {published data only}

  1. Tang SC, Chan KW, Tang CS, Lam MF, Leung CY, Tse KC, et al. Conversion of ciclosporin A to tacrolimus in kidney transplant recipients with chronic allograft nephropathy. Nephrology Dialysis Transplantation 2006;21(11):3243-51. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]

Tedesco‐Silva 2010 {published data only}

  1. Campbell S, Walker R, Pilmore H, Kanellis J, Russ G, Hutchison B, et al. Wound healing events are dose related: a multicenter, prospective study on everolimus in renal transplantation [abstract no:43]. In: Transplantation Society of Australia & New Zealand (TSANZ). 29th Annual Scientific Meeting; 2011 June 29-Jul 1; Canberra (ACT). 2011:64. [CENTRAL: CN-01657183]
  2. Carmellini M, Garcia V, Wang Z, Vergara M, Escrig C, Russ G. Everolimus de novo with reduced-exposure cyclosporine in renal transplant recipients at high risk of efficacy failure: results of a post-HOC analysis [abstract]. Transplant International 2015;28(Suppl 4):209. [EMBASE: 72111829] [Google Scholar]
  3. Carmellini M, Garcia V, Wang Z, Vergara M, Russ G. Efficacy of everolimus with reduced-exposure cyclosporine in de novo kidney transplant patients at increased risk for efficacy events: analysis of a randomized trial. Journal of Nephrology 2015;28(5):633-9. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  4. Carmellini M, Garcia V, Wong Z, Vergara M, Escrig C, Russ G. Treatment with everolimus and reduced-exposure cyclosporine is efficacious in de novo renal transplant recipients at increased risk for efficacy failure: post-hoc analysis from the A2309 study [abstract]. American Journal of Transplantation 2015;15(Suppl 3):D125. [EMBASE: 71954404] [Google Scholar]
  5. Carmellini M, Pattison J, Riad H, Yaqoob M, Vergara M, Witte S, et al. Renal function in renal transplant recipients after 24 months of immunosuppression with concentration-controlled everolimus plus reduced cyclosporine exposure: update from the A2309 study [abstract]. Transplant International 2011;24(Suppl 2):57. [EMBASE: 70527277] [Google Scholar]
  6. Carmellini M, Yaqoob M, Pattison J, Riad H, Wang Z, Cornu-Artis HC, et al. Correlation of everolimus exposure with efficacy and safety outcomes in renal transplant recipients: 24-month update [abstract]. Transplant International 2011;24(Suppl 2):248. [EMBASE: 70527973] [Google Scholar]
  7. Chadban S, Pilmore H, Russ G, John K, Campbell S, O'Connell P, et al. Everolimus plus reduced-exposure cyclosporin versus mycophenolic acid plus cyclosporin: Long-term follow-up of Australia and New Zealand kidney transplant recipients in the A2309 randomised controlled trial [abstract no: 450.9]. Transplantation 2016;100(7 Suppl 1):S250. [EMBASE: 613005419] [Google Scholar]
  8. Chadban S, Pilmore H, Russ G, Kanellis J, Campbell S, O'Connell P, et al. Everolimus plus reduced-exposure cyclosporin versus mycophenolic acid plus cyclosporin: Seven-year follow-up of Australia and New Zealand kidney transplant recipients in the A2309 study [abstract]. American Journal of Transplantation 2016;16(Suppl 3):305. [EMBASE: 611700282] [Google Scholar]
  9. Chadban S, Pilmore H, Russ G, Kanellis J, Campbell S, O'Connell P, et al. Everolimus plus reduced-exposure cyclosporin versus mycophenolic acid plus cyclosporin: seven year follow-up of ANZ patients from a randomised controlled trial [abstract no: 079]. Nephrology 2015;30(Suppl 3):39. [EMBASE: 71995868] [Google Scholar]
  10. Chan L, Cibrik D, Johnston T, Kim YS, Walker R, Zibari G, et al. Correlation of everolimus exposure with efficacy and safety outcomes: Results from a multicenter study in renal transplantation using reduced CsA exposure [abstract]. Transplantation 2010;90(Suppl 1):111. [EMBASE: 71531316] [Google Scholar]
  11. Chan L, Lantzsch R, Riad H, Tufveson G, Cibrik DM, Tedesco-Silva H, et al. Better renal allograft function with everolimus facilitated CNI reduction-graft type, donor criteria and gender analysis [abstract]. Transplantation 2010;90(Suppl 1):296. [EMBASE: 71531660] [Google Scholar]
  12. Cibrik D, Johnston T, Kim YS, Walker R, Zibari G, Mange K, et al. Everolimus allows for around 60% reduction in CsA exposure over 12 months: results from a multicenter, prospective study in renal transplantation [abstract no: 1667]. American Journal of Transplantation 2010;10(Suppl 4):511. [EMBASE: 70465042] [Google Scholar]
  13. Cibrik D, Johnston T, Kim YS, Walker RG, Zibari G, Cornu-Artis C, et al. Everolimus exposure and relationship to efficacy and safety: results from a multicenter study in renal transplantation using reduced CsA exposure [abstract no: LB25]. American Journal of Transplantation 2010;10(S4):567-8. [EMBASE: 70465240] [Google Scholar]
  14. Cibrik D, Kim YS, Johnston T, Walker R, Zibari G, Mange K, et al. Benefits of everolimus with reduced CsA exposure on renal function: a multicenter, prospective study in renal transplantation [abstract no: 378]. American Journal of Transplantation 2010;10(Suppl 4):151-2. [EMBASE: 70463739] [Google Scholar]
  15. Cibrik D, Kim YS, Johnston T, Walker R, Zibari GB, Cornu-Artis C, et al. Renal function stability in renal transplant recipients receiving concentration-controlled everolimus with reduced cyclosporine exposure: 24 month results from the A2309 study [abstract]. American Journal of Transplantation 2011;11(Suppl 2):406-7. [EMBASE: 70406341] [Google Scholar]
  16. Cibrik D, Silva HTJ, Vathsala A, Lackova E, Cornu-Artis C, Walker RG, et al. Randomized trial of everolimus-facilitated calcineurin inhibitor minimization over 24 months in renal transplantation. Transplantation 2013;95(7):933-42. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  17. Cibrik DM, Kim YS, Lackova E, Johnston T, Zibari G, Panis C, et al. Renal function with everolimus plus reduced-dose cyclosporine: Results from a randomized, phase III study [abstract no: SA-FC356]. Journal of the American Society of Nephrology 2009;20(Abstract Suppl):84A. [Google Scholar]
  18. Colussi G, Vergara M, Wang Z, Roland R. Risk factors associated with efficacy outcomes in kidney transplantation: analysis of a contemporary cohort of patients from the A2309 trial. Clinical Nephrology 2015;83(6):338-44. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  19. Dong G, Akacha M, Ng J, Escrig C, Bernhardt P, Witte S. Different methods for imputing missing renal function data: Evidence from a large clinical trial in renal transplant recipients [abstract]. Transplantation 2014;98(Suppl 1):537. [EMBASE: 71545339] [Google Scholar]
  20. Escrig C, Bernhardt P, Dong G, Junge G. Changes in the lipid profile in the first year after renal transplantation: Risk factors and influence of immunosuppressive regimens [abstract]. Transplantation 2014;98(Suppl 1):524-5. [EMBASE: 71545299] [Google Scholar]
  21. Escrig C, Colussi G, Roland R, Vergara M, Wang Z, Bernhardt P. Donor and recipient factors that influence efficacy outcomes: 12 and 24-month multivariate analyses from kidney transplant recipients receiving everolimus with reduced calcineurin inhibitor [abstract]. Transplant International 2015;28(Suppl 4):101. [EMBASE: 72111514] [Google Scholar]
  22. Escrig C, Colussi G, Roland R, Vergara M, Wang Z. Factors affecting efficacy outcomes at 12 and 24-months after kidney transplantation in patients from the A2309 study [abstract]. American Journal of Transplantation 2015;15(Suppl 3):D126. [EMBASE: 71953480] [Google Scholar]
  23. Junge G, Bernhardt P, Escrig C, Silva HT. Surrogate renal function endpoints for predicting long-term allograft survival in kidney transplantation [abstract no: SA-PO1008]. Journal of the American Society of Nephrology 2013;24(Abstract Suppl):858A. [Google Scholar]
  24. Junge G, Karpov A, Schwende H, Cornu-Artis C. Gender-matching in renal transplant allograft allocation-does mismatch matter? [abstract no: F-PO2004]. Journal of the American Society of Nephrology 2010;21(Abstract Suppl):570A. [Google Scholar]
  25. Kanellis J, Walker R, Pilmore H, Russ G, Hutchison B, Chadban S, et al. Benefits of everolimus with reduced CSA exposure on renal function: a multicenter, prospective study in renal transplantation [abstract no: 6]. In: Transplantation Society of Australia & New Zealand (TSANZ). 29th Annual Scientific Meeting; 2011 Jun 29-Jul 1; Canberra (ACT). 2011:40. [CENTRAL: CN-01657145]
  26. Kim YS, Tedesco-Silva H, Johnston T, Lee P, Zibari G, Walker R, et al. Lower incidence of cytomegalovirus and BK virus with everolimus versus mycophenolate in de novo renal transplant patients: results from a multicenter, prospective study [abstract no: 1615]. Transplantation 2010;90(Suppl 1):256. [EMBASE: 71531587] [Google Scholar]
  27. Lackova E, Cibrik D, Johnston T, Kim YS, Civati G, Walker R, et al. 60% Reduction in cyclosporine exposure with everolimus over 12 months in de novo renal transplant recipients: Results from a multicenter, randomized study [abstract]. Transplantation 2010;90(Suppl 1):297. [EMBASE: 71531662] [Google Scholar]
  28. Lim WH, Russ GR, Wong G, Pilmore H, Kanellis J, Chadban SJ. The risk of cancer in kidney transplant recipients may be reduced in those maintained on everolimus and reduced cyclosporine. Kidney International 2017;91(4):954-63. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  29. Mange KC, Tedesco H, Johnston T, Zibari G, Li Y, Wang Z. Lack of variation in serum creatinine values between central study laboratory and Cleveland Clinic in kidney transplant recipients [abstract no: 1565]. Transplantation 2008;86(2S):521. [CENTRAL: CN-01657939] [Google Scholar]
  30. Pattison J, Riad H, Yaqoob M, Chan L. Correlation of everolimus exposure with reduced CsA exposure to efficacy and safety outcomes: results from a multicentre study in renal transplantation [abstract no: 19]. In: British Transplantation Society (BTS).14th Annual Congress; 2011 Mar 9-11; Bournemouth, UK. 2011.
  31. Pattison J, Riad H, Yaqoob M, Tedesco-Silva H. Preserved efficacy and renal function from 12 to 24 months with everolimus facilitated CsA reduction [abstract no: 47]. In: British Transplantation Society (BTS).14th Annual Congress; 2011 Mar 9-11; Bournemouth, UK. 2011.
  32. Pattison J, Riad H, Yaqoob M, Tedesco-Silva H. Renal function in de novo kidney transplant patients receiving everolimus with reduced dose ciclosporin or enteric-coated mycophenolic acid with standard-dose ciclosporin: Results from a large-scale, randomised, international trial [abstract no: O36]. In: British Transplantation Society (BTS).13th Annual Congress; 2010 Mar 17-19; Kensington, UK. 2010.
  33. Riad H, Pattison J, Yaqoob M, Chan L. 12 month analysis of effects of graft type, donor criteria and gender on improved renal allograft function with everolimus facilitated CNI reduction [abstract no: 21]. In: British Transplantation Society (BTS).14th Annual Congress; 2011 Mar 9-11; Bournemouth, UK. 2011.
  34. Riad H, Pattison J, Yaqoob M, Kim YS. Lower incidence of CMV and BK virus with everolimus vs. mycophenolate in de novo renal transplant patients at 12 months [abstract no: 20]. In: British Transplantation Society (BTS).14th Annual Congress; 2011 Mar 9-11; Bournemouth, UK. 2011.
  35. Riad H, Pattison J, Yaqoob M, Tedesco-Silva H. Everolimus with reduced-dose ciclosporin as a strategy to optimise long-term renal function: results from a randomised study in 833 de novo kidney transplant recipients [abstract no: P43]. In: British Transplantation Society (BTS). 13th Annual Congress; 2010 Mar 17-19; Kensington, UK. 2010.
  36. Russ G, Chadban S, Campbell S, Hutchison B, Kanellis J, O'Connell P, et al. Everolimus plus reduced-dose cyclosporine: results from a randomized, phase III study in 833 de-novo renal transplant recipients [abstract no: 70]. Immunology & Cell Biology 2010;88(6):A22. [EMBASE: 70313681] [Google Scholar]
  37. Russ G, Walker R, Pilmore H, Kanellis J, Hutchison B, Chadban S, et al. Everolimus plus reduced CSA exposure: efficacy results from a multicenter, randomized prospective study in renal transplantation [abstract no: 1]. In: Transplantation Society of Australia & New Zealand (TSANZ). 29th Annual Scientific Meeting; 2011 Jun 29-Jul 1; Canberra (ACT). 2011:36. [CENTRAL: CN-01657148]
  38. Russ G, Walker R, Pilmore H, Kanellis J, Hutchison B, Chadban S, et al. Lower incidence of cytomegalovirus and BK virus with everolimus versus mycophenolate in de novo renal transplant patients: results from a multicenter, prospective study [abstract no: 70]. In: Transplantation Society of Australia & New Zealand (TSANZ). 29th Annual Scientific Meeting; 2011 June 29-Jul 1; Canberra (ACT). 2011:82. [CENTRAL: CN-01657149]
  39. Shihab F, Cibrik D, Chan L, Kim YS, Carmellini M, Walker R, et al. Exposure-response analysis of everolimus with reduced cyclosporine in renal transplant recipients at 24 months in a randomized trial [abstract no: 929]. American Journal of Transplantation 2012;12(Suppl 3):298-9. [Google Scholar]
  40. Shihab F, Cibrik D, Kim YS, Johnston T, Walker R, Roland R, et al. De novo everolimus combined with reduced cyclosporine exposure - analysis of renal function at 12 months in renal transplant recipients [abstract no: 2023]. Transplantation 2010;90(Suppl 1):110. [EMBASE: 71531314] [Google Scholar]
  41. Shihab F, Cibrik D, Kim YS, Johnston T, Walker R, Roland R, et al. De novo everolimus combined with reduced cyclosporine exposure-analysis of renal function at 12 months in renal transplant recipients. Transplantation 2010;90(Suppl 1):110. [EMBASE: 71531314] [Google Scholar]
  42. Shihab F, Tedesco-Silva H, Johnston T, Kim YS, Zibari GB, Walker R, et al. Lower incidence of cytomegalovirus and BK virus adverse events with everolimus versus mycophenolate was maintained over 24 months in de novo renal transplant recipients [abstract]. American Journal of Transplantation 2011;11(Suppl 2):45. [EMBASE: 70405089] [Google Scholar]
  43. Shihab FS, Cibrik D, Chan L, Kim YS, Carmellini M, Walker R, et al. Association of clinical events with everolimus exposure in kidney transplant patients receiving reduced cyclosporine. Clinical Transplantation 2013;27(2):217-26. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  44. Shihab FS, Cibrik DM, Kim YS, Walker R, Zibari G, Cornu-Artis C, et al. Everolimus plus reduced CsA exposure: preserved efficacy and renal function from 12 to 24 months [abstract no: SA-PO3049]. Journal of the American Society of Nephrology 2010;21(Abstract Suppl):807A. [Google Scholar]
  45. Tedesco-Silva H, Bernhardt P, Dong G, Escrig C. Search for new endpoints for clinical trials of immunosuppressive drugs in kidney transplantation [abstract no: P312]. Transplant International 2013;26(Suppl 2):248. [EMBASE: 71359932] [Google Scholar]
  46. Tedesco-Silva H, Cibrik D, Johnston T, Lackova E, Mange K, Panis C, et al. Everolimus plus reduced-exposure CsA versus mycophenolic acid plus standard-exposure CsA in renal-transplant recipients. American Journal of Transplantation 2010;10(6):1401-13. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  47. Tedesco-Silva H, Garcia VD, Contieri FL, De Boni Monteiro de Carvalho D, Noronha IL, Goncalves RT, et al. Comparison of the safety and efficacy of cyclosporine minimization versus cyclosporine elimination in de novo renal allograft patients receiving sirolimus. Transplantation Proceedings 2010;42(5):1659-66. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  48. Tedesco-Silva H, Johnston T, Kim YS, Zibari G, Walker R, Mange K, et al. Everolimus-treated renal transplant patients have a lower incidence of CMV and BKV: results from a multicenter, prospective study [abstract: 1659]. American Journal of Transplantation 2010;10(Suppl 4):509. [EMBASE: 70465034] [Google Scholar]
  49. Tedesco-Silva H, Kim YS, Johnston T, Walker R, Tufvetson G, Zibari G, et al. Everolimus with reduced exposure of cyclosporine: efficacy results from a randomized prospective study in 833 de novo renal transplant recipients [abstract no: 427]. Transplantation 2010;90(Suppl 1):110. [EMBASE: 71531315] [Google Scholar]
  50. Tedesco-Silva H, Kim YS, Johnston T, Walker R, Zibari G, Mange K, et al. Everolimus plus reduced CsA exposure: efficacy results from a multicenter, randomized prospective study in renal transplantation [abstract no: 374]. American Journal of Transplantation 2010;10(Suppl 4):150. [EMBASE: 70463735] [Google Scholar]
  51. Tedesco-Silva H, Kim YS, Johnston T, Walker R, Zibari GB, Cornu-Artis C, et al. Concentration-controlled everolimus with reduced cyclosporine concentration in de novo renal transplant recipients: Efficacy results at 24 months [abstract]. American Journal of Transplantation 2011;11(Suppl 2):46. [EMBASE: 70405092] [Google Scholar]
  52. Tedesco-Silva H, Kim YS, Lackova E, Johnston T, Zibari G, Panis C, et al. Everolimus with reduced-dose cyclosporine as a strategy for optimizing long-term renal function: results from a randomized study in 833 de-novo renal-transplant recipients [abstract no: P-371]. Transplant International 2009;22(Suppl 2):186-7. [CENTRAL: CN-01657151] [Google Scholar]
  53. Tedesco-Silva H, Pestana JM, Alfieri F, See Tai S, Brazilian RSG. A randomized, open-label study to compare the safety and efficacy of cyclosporine (CSA) dose reduction with CSA elimination in de novo renal allograft patients receiving sirolimus [abstract no: 446]. Transplantation 2008;86(Suppl 2):157. [CENTRAL: CN-00740466] [Google Scholar]
  54. Tedesco-Silva HJ, Kim YS, Lackova E, Johnston T, Zibari G, Panis C, et al. Everolimus plus reduced-dose cyclosporine: Results from a randomized, phase III study in 833 de-novo renal-transplant recipients [abstract no: SA-FC359]. Journal of the American Society of Nephrology 2009;20(Abstract Suppl):84A. [Google Scholar]
  55. Vathsala A, Zibari G, Kim YS, Cibrik D, Johnston T, Walker R, et al. Dose related incidences of wound healing events in renal transplant recipients treated with everolimus and cyclosporine [abstract no: 2060]. Transplantation 2012;90(Suppl 1):615. [EMBASE: 71532274] [Google Scholar]
  56. Vathsala A, Zibari G, Kim YS, Cibrik D, Johnston T, Walker R, et al. Dose related incidences of wound healing events in renal transplant recipients treated with everolimus and cyclosporine [abstract]. Transplantation 2010;90(Suppl 1):615. [EMBASE: 71532274] [Google Scholar]
  57. Walker R, Cibrik D, Tedesco-Silva H, Johnston T, Kim YS, Zibari G, et al. Everolimus allows for a 60% reduction in cyclosporine exposure in subject cohorts defined by geography [abstract no: 1616]. Transplantation 2010;90(Suppl 1):610. [EMBASE: 71532265] [Google Scholar]
  58. Walker R, Vathsala A, Zibari GB, Kim YS, Cibrik D, Johnston T, et al. Class related adverse events in renal transplant recipients treated with everolimus: 24 month results from the A2309 study [abstract]. American Journal of Transplantation 2011;11(Suppl 2):407. [EMBASE: 70406343] [Google Scholar]
  59. Wiseman AC, McCague K, Kim Y, Geissler F, Cooper M. The effect of everolimus versus mycophenolate upon proteinuria following kidney transplant and relationship to graft outcomes. American Journal of Transplantation 2013;13(2):442-9. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  60. Yaqoob M, Pattison J, Riad H, Cornu-Artis C, Wang Z, Shihab F. Cytomegalovirus and BK virus infections are less frequent with everolimus versus mycophenolate immunosuppression: 24-month update from the 2309 study in de novo renal transplant recipients [abstract]. Transplant International 2011;24(Suppl 2):40-1. [EMBASE: 70527224] [Google Scholar]
  61. Yaqoob M, Riad H, Pattison J, Cornu-Artis C, Wang Z, H TS. Efficacy and safety of 24 months immunosuppression with concentration controlled everolimus and reduced cyclosporine in de novo renal transplant recipients [abstract]. Transplant International 2011;24(Suppl 2):39. [EMBASE: 70527219] [Google Scholar]
  62. Zibari G, Kim YS, Cibrik D, Johnston T, Walker R, Mange K, et al. Wound healing events are dose related: a multicenter, prospective study on everolimus in renal transplantation [abstract no: 1661]. American Journal of Transplantation 2010;10(Suppl 4):510. [EMBASE: 70465036] [Google Scholar]
  63. Zibari G, Tedesco Silva H Jr, Cibrik D, Lackova E, Johnston T, et al. Incidence of viral infections with everolimus plus reduced-dose cyclosporine: results from a phase III study in 833 de-novo renal-transplant recipients [abstract no: PUB309]. Journal of the American Society of Nephrology 2009;20(Abstract Suppl):897A. [Google Scholar]

TRANSFORM 2013 {published data only}

  1. Aubert O, Divard G, Pascual J, Oppenheimer F, Sommerer C, Citterio F, et al. Application of the iBox prognostication system as a surrogate endpoint in the TRANSFORM randomised controlled trial: proof-of-concept study. BMJ Open 2021;11(10):e052138. [MEDLINE: ] [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Berger S, Sommerer C, Bakr M, Soo KM, Danguilan R, De Fijter J, et al. TRANSFORM study: Impact of donor type on 12-month outcomes of everolimus and reduced calcineurin inhibitor versus mycophenolate and standard calcineurin inhibitor in de novo kidney transplant patients [abstract]. Transplant International 2017;30(Suppl 2):162-3. [EMBASE: 618769281] [Google Scholar]
  3. Berger SP, Sommerer C, Witzke O, Tedesco H, Chadban S, Mulgaonkar S, et al. Two-year outcomes in de novo renal transplant recipients receiving everolimus-facilitated calcineurin inhibitor reduction regimen from TRANSFORM study. American Journal of Transplantation 2019;19(11):3018-34. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  4. Buchler M, Sommerer C, Mulgaonkar S, Garcia V, Massari P, Kuypers D, et al. The TRANSFORM study: lower viral infections with everolimus and reduced calcineurin inhibitor versus mycophenolate and standard calcineurin inhibitor in de novo kidney transplant patients at month 12 [abstract]. Transplant International 2018;31(Suppl 1):14. [EMBASE: 619997597] [Google Scholar]
  5. Chadban S, Hughes P, Campbell S, Irish A, Lim W, O'Connell P, et al. TRANSFORM trial design: a randomized, multicentre, open-label study of everolimus with reduced calcineurin inhibitors in over 20000 de novo renal transplant recipients [abstract no:48]. In: Transplantation Society of Australia & New Zealand (TSANZ). 32nd Annual Scientific Meeting; 2014 Jun 11-13; Canberra (ACT). 2014:61. [CENTRAL: CN-01657286]
  6. Chadban S, Mulgaonkar S, Pascual J, Tedesco H, Berger S, Qazi Y, et al. Everolimus with reduced calcineurin inhibitor exposure in de novo kidney transplant recipients: efficacy and safety outcomes from the TRANSFORM study [abstract]. American Journal of Transplantation 2018;18(Suppl 4):475. [EMBASE: 622280975] [Google Scholar]
  7. Chadban S, Oppenheimer F, Citterio F, Witzke O, Garcia VD, Gutierrez-Dalmau A, et al. Effcacy and safety outcomes with de novo use of everolimus-based regimen in renal transplant recipients with delayed graft function from the TRANSFORM study [abstract]. American Journal of Transplantation 2019;19(Suppl 3):357-8. [EMBASE: 628453504] [Google Scholar]
  8. Citterio F, Henry M, Kim DY, Kim MS, Han DJ, Kenmochi T, et al. Wound healing adverse events in kidney transplant recipients receiving everolimus with reduced calcineurin inhibitor exposure or current standard-of-care: insights from the 24-month TRANSFORM study. Expert Opinion on Drug Safety 2020;19(10):1339-48. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  9. Citterio F, Watarai Y, Mulgaonkar S, Huynh-Do U, Bernhardt P, Henry M. Effects of the de novo use of everolimus with reduced calcineurin inhibitor on wound healing events in the TRANSFORM study [abstract]. Transplantation 2018;102(7 Suppl 1):S94. [EMBASE: 623701238] [Google Scholar]
  10. Cruzado J, Mulgaonkar S, Garcia V, Massari P, Kuypers D, Buchler M, et al. The TRANSFORM study: Lower viral infections with everolimus and reduced calcineurin inhibitor versus mycophenolate and standard calcineurin inhibitor in de novo kidney transplant patients at month 12 [abstract]. Transplant International 2017;30(Suppl 2):159-60. [EMBASE: 618770367] [Google Scholar]
  11. Divard G, Aubert O, Raynaud M, Pascual J, Bernhardt P, Legendre CM, et al. Application of the iBox clinical trial simulation tool to project long-term kidney allograft outcome in the TRANSFORM study [abstract]. Journal of the American Society of Nephrology 2019;30(Abstract Suppl):759-60. [EMBASE: 633767564] [Google Scholar]
  12. Henry M, Citterio F, Kim M, Kim D, Bernhardt P, Gupta A, et al. Effect of de novo use of everolimus with reduced calcineurin inhibitor versus standard mycophenolic acid-based regimen on wound healing events in kidney transplant recipients from TRANSFORM study [abstract]. American Journal of Transplantation 2018;18(Suppl 4):790. [EMBASE: 622279816] [Google Scholar]
  13. Henry M. TRANSFORM: A modern approach to evaluate long-term outcomes of everolimus with reduced-calcineurin inhibitors in de novo kidney transplant recipients-baseline characteristics [abstract]. American Journal of Transplantation 2016;16(Suppl 3):542. [EMBASE: 611699077] [Google Scholar]
  14. Lee PC, Chadban SJ. Baseline characteristics of Asian and non-Asian renal transplant recipients: findings from the TRANSFORM trial [abstract no: P.1530]. Transplantation 2016;100(7 Suppl 1):S725. [EMBASE: 613005011] [Google Scholar]
  15. Legendre C, Berger S, Oppenheimer F, Wiseman A, Steinberg S, Viklicky O, et al. Assessment of proteinuria reported as adverse events in de novo renal transplant recipients receiving an everolimus-based regimen: 24-month results from TRANSFORM [abstract]. American Journal of Transplantation 2019;19(Suppl 3):693-4. [EMBASE: 628454964] [Google Scholar]
  16. Legendre C, Chadban S, Tedesco H, Berger S, Qazi Y, Cruzado JM, et al. Efficacy and safety of everolimus [EVR] with reduced-dose calcineurin inhibitor [rCNI] in de novo kidney transplant recipients [KTxRs]: M24 results from the TRANSFORM study [abstract]. Transplant International 2019;32(Suppl 1):18-9. [EMBASE: 625831383] [Google Scholar]
  17. Legendre C, Sommerer C, Bakr MA, Soo KM, Danguilan R, De Fijter J, et al. TRANSFORM study: impact of donor type on 12-month outcomes of everolimus and reduced calcineurin inhibitor versus mycophenolate and standard calcineurin inhibitor in De novo kidney transplant patients [abstract]. Transplant International 2018;31(Suppl 1):14-5. [EMBASE: 619997625] [Google Scholar]
  18. Legendre C, Srinivas T, Pascual J, Chadban S, Citterio F, Henry M, et al. The TRANSFORM trial design: a large randomized, multicenter, open-label study of everolimus with reduced calcineurin inhibitors in de novo renal transplantation [abstract no: P16]. Transplant International 2013;26(Suppl 3):23-4. [EMBASE: 71356170] [Google Scholar]
  19. Mulgaonkar S, Qazi Y, Kim D, Peddi V, McCague K, Patel D, et al. Effect of everolimus with reduced calcineurin inhibitor on efficacy and safety in de novo kidney transplant recipients: 12-month results from the US cohort of TRANSFORM study [abstract]. American Journal of Transplantation 2018;18(Suppl 4):259. [EMBASE: 622280595] [Google Scholar]
  20. Oberbauer R, Vincenti F, Viklicky O, Huynh-Do U, Kim D, Cruzado JM, et al. Effect of induction therapy on outcomes of de novo renal transplant recipients receiving everolimus with reduced-dose calcineurin inhibitor: 24-month results from the TRANSFORM study [abstract]. American Journal of Transplantation 2019;19(Suppl 3):558. [EMBASE: 628454072] [Google Scholar]
  21. Oppenheimer F, Legendre C, Cruzado J, Russ G, Viklicky O, Oberbauer R, et al. Everolimus with reduced-dose calcineurin inhibitor versus mycophenolate with standard-dose calcineurin inhibitor in de novo kidney transplant recipients: renal function results from the TRANSFORM study [abstract]. American Journal of Transplantation 2018;18(Suppl 4):258. [EMBASE: 622280526] [Google Scholar]
  22. Oppenheimer F, Russ G, Viklicky O, Oberbauer R, Garcia V, Witzke O, et al. Renal function outcomes in de novo kidney transplant recipients receiving everolimus with reduced-exposure calcineurin inhibitor versus mycophenolate with standard-exposure calcineurin inhibitor: results from the TRANSFORM study [abstract]. Transplantation 2018;102(7 Suppl 1):S363. [EMBASE: 623701955] [Google Scholar]
  23. Oppenheimer F, Witzke O, Viklicky O, Cassuto E, De Fijter J, Huynh-Do U, et al. The TRANSFORM study: effect of everolimus with reduced-exposure calcineurin inhibitor on 12-month renal function outcomes in de novo kidney transplant recipients [abstract]. Transplant International 2017;30(Suppl 2):162. [EMBASE: 618769255] [Google Scholar]
  24. Pascual J, Berger S, Witzke O, Chadban S, Oppenheimer F, Oberbauer R, et al. The TRANSFORM study: 12-month efficacy and safety of everolimus with reduced calcineurin inhibitor in de novo kidney transplant recipients [abstract]. Transplant International 2017;30(Suppl 2):159. [EMBASE: 618770261] [Google Scholar]
  25. Pascual J, Berger SP, Witzke O, Tedesco H, Mulgaonkar S, Qazi Y, et al. Everolimus with reduced calcineurin inhibitor exposure in renal transplantation. Journal of the American Society of Nephrology 2018;29(7):1979-91. [MEDLINE: ] [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Pascual J, Chadban S, Citterio F, Henry M, Legendre C, Oppenheimer F, et al. TRANSFORM trial design: effect of everolimus on long-term outcomes after kidney transplantation [abstract no: P308]. Transplant International 2013;26(Suppl 2):247. [EMBASE: 71359928] [Google Scholar]
  27. Pascual J, Chadban S, Tedesco H, Berger S, Qazi Y, Cruzado JM, et al. Efficacy and safety of everolimus with reduced-dose calcineurin inhibitor in de novo kidney transplant recipients: results from the TRANSFORM study [abstract]. Transplantation 2018;102(7 Suppl 1):S367-8. [EMBASE: 623702178] [Google Scholar]
  28. Pascual J, Srinivas TR, Chadban S, Citterio F, Henry M, Legendre C, et al. Balancing efficacy and renal function preservation after kidney transplantation with everolimus and reduced calcineurin inhibitors for better graft outcomes: design of the TRANSFORM study [abstract]. Nephrology Dialysis Transplantation 2014;29(Suppl 3):iii535. [EMBASE: 71493013] [Google Scholar]
  29. Pascual J, Srinivas TR, Chadban S, Citterio F, Oppenheimer F, Tedesco H, et al. TRANSFORM: a novel study design to evaluate the effect of everolimus on long-term outcomes after kidney transplantation. Open Access Journal of Clinical Trials 2013;6:45-53. [EMBASE: 373306041] [Google Scholar]
  30. Pascual J, Srinivas TR, Chadban S, Citterio F, Oppenheimer F, Tedesco H, et al. TRANSFORM: a novel study design to evaluate the effect of everolimus on long-term outcomes after kidney transplantation. Open Access Journal of Clinical Trials 2014;6:45-54. [EMBASE: 605631666] [Google Scholar]
  31. Pascual J. TRANSFORM: a novel study to evaluate the effect of everolimus with reduced calcineurin inhibitors in de novo kidney transplant recipients: baseline data [abstract]. Transplant International 2015;28(Suppl 4):442. [EMBASE: 72112235] [Google Scholar]
  32. Pernin V, Buchler M, Cruzado J, Garcia V, Kuypers D, Citterio F, et al. The TRANSFORM study: infection outcomes with everolimus plus reduced calcineurin inhibitor and mycophenolate plus standard calcineurin inhibitor regimens in de novo kidney transplant recipients [abstract]. Transplant International 2019;32(Suppl 1):23. [EMBASE: 625831569] [Google Scholar]
  33. Qazi YA, Kim DY, Wiseman AC, Peddi VR, Steinberg SM, Shihab FS, et al. Effect of everolimus with reduced-exposure calcineurin inhibitor in de novo kidney transplant recipients: 24-month results from the US cohort of the TRANSFORM study [abstract no: TH-PO1155]. Journal of the American Society of Nephrology 2018;29(Abstract Suppl):B6. [Google Scholar]
  34. Shihab F, Qazi Y, Peddi V, Shaffer D, Kim D, McCague K, et al. Effect of early attainment of everolimus target trough levels on efficacy-safety outcomes in de novo kidney transplant recipients: 12-month results from US92 and TRANSFORM studies [abstract]. American Journal of Transplantation 2018;18(Suppl 4):259. [EMBASE: 622280636] [Google Scholar]
  35. Sommerer C, Legendre C, Citterio F, Watarai Y, Oberbauer R, Basic-Jukic N, et al. Cardiovascular outcomes in de novo kidney transplant recipients receiving everolimus and reduced calcineurin inhibitor or standard triple therapy: 24-month post hoc analysis from TRANSFORM Study. Transplantation 2023;107(7):1593-604. [PMID: ] [DOI] [PubMed] [Google Scholar]
  36. Srinivas T, Legendre C, Oppenheimer F, Tedesco-Silva H, Luo W, Bernhardt P, et al. A novel endpoint for evaluating the effect of everolimus with reduced calcineurin inhibitor on long-term kidney graft outcome: the TRANSFORM study protocol [abstract]. American Journal of Transplantation 2017;17(Suppl 3):742-3. [EMBASE: 615705499] [Google Scholar]
  37. Srinivas T, Pascual J, Chadban SJ, Citterio F, Henry ML, Legendre CM, et al. The TRANSFORM trial design: a large randomized, multicenter, open-label study of everolimus with reduced calcineurin inhibitors in de novo renal transplantation [abstract no: PUB462]. Journal of the American Society of Nephrology 2013;24(Abstract Suppl):976A. [Google Scholar]
  38. Tedesco SH, Citterio F, Henry M, Srinivas TR, Watarai Y, Steinberg S, et al. Antirejection efficacy in de novo renal transplant recipients receiving everolimus with a reduced-exposure calcineurin inhibitor-based regimen: 24-month results from the TRANSFORM study [abstract]. American Journal of Transplantation 2019;19(Suppl 3):358-9. [EMBASE: 628453592] [Google Scholar]
  39. Tedesco-Silva H, Pascual J, Viklicky O, Basic-Jukic N, Cassuto E, Kim DY, et al. Safety of everolimus with reduced calcineurin inhibitor exposure in de novo kidney transplants: an analysis from the randomized TRANSFORM study. Transplantation 2019;103(9):1953-63. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]
  40. Vincenti F, Cruzado J, Mulgaonkar S, Garcia V, Kuypers D, Buchler M, et al. The TRANSFORM study: infection outcomes with everolimus plus reduced calcineurin inhibitor and mycophenolate plus standard calcineurin inhibitor regimens in de novo kidney transplant recipients [abstract]. American Journal of Transplantation 2018;18(Suppl 4):258. [EMBASE: 622280564] [Google Scholar]
  41. Watarai Y, Amante AJ, Casasola C, Kim MS, Chang SS, Han DJ, et al. Efficacy and safety of everolimus with reduced calcineurin inhibitor regimen versus mycophenolic acid with standard calcineurin regimen in Asian de novo kidney transplant recipients: two-year results from the subgroup analysis of transform study [abstract]. Transplantation 2020;104(Suppl 3):S613. [EMBASE: 633381000] [Google Scholar]
  42. Watarai Y, Berger SP. TRANSFORM: everolimus with reduced calcineurin inhibitors vs mycophenolate with standard calcineurin inhibitors in de novo kidney transplant recipients-baseline data according to donor type [abstract no: P.1416]. Transplantation 2016;100(7 Suppl 1):S673-4. [EMBASE: 613005289] [Google Scholar]
  43. Watarai Y, Danguilan R, Casasola C, Chang SS, Ruangkanchanasetr P, Kee T, et al. Everolimus-facilitated calcineurin inhibitor reduction in Asian de novo kidney transplant recipients: 2-year results from the subgroup analysis of the TRANSFORM study. Clinical Transplantation 2021;35(10):e14415. [MEDLINE: ] [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Witzke O, Arns W, Weithofer P, Lehner F, Banas B, Giet M, et al. Everolimus with reduced calcineurin inhibitor exposure in de novo kidney transplant recipients: infection and wound healing outcomes from the TRANSFORM study [abstract]. Transplant International 2018;31(Suppl 5):18. [EMBASE: 625099371] [Google Scholar]

Zheng 2022 {published data only}

  1. Zheng X, Zhang W, Zhou H, Cao R, Shou Z, Zhang S, et al. A multi-center randomized controlled trial to evaluate efficacy and safety of early conversion to a low-dose calcineurin inhibitor combined with sirolimus in renal transplant patients. Chinese Medical Journal 2023;136(5):607-9. [PMID: ] [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Zheng X, Zhang W, Zhou H, Cao R, Shou Z, Zhang S, et al. A randomized controlled trial to evaluate efficacy and safety of early conversion to a low-dose calcineurin inhibitor combined with sirolimus in renal transplant patients. Chinese Medical Journal 2022;25:1597-603. [PMID: ] [DOI] [PMC free article] [PubMed] [Google Scholar]

References to ongoing studies

OPTIMIZE 2021 {published data only}

  1. Boer SE, Sanders JSF, Bemelman FJ, Betjes MGH, Burgerhof JGM, Hilbrands L, et al. Rationale and design of the OPTIMIZE trial: OPen label multicenter randomized trial comparing standard IMmunosuppression with tacrolimus and mycophenolate mofetil with a low exposure tacrolimus regimen In combination with everolimus in de novo renal transplantation in Elderly patients. BMC Nephrology 2021;22(1):208. [MEDLINE: ] [DOI] [PMC free article] [PubMed] [Google Scholar]

Additional references

Bahl 2019

  1. Bahl D, Haddad Z, Datoo A, Qazi YA. Delayed graft function in kidney transplantation. Current Opinion in Organ Transplantation 2019;24(1):82-6. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]

Bentata 2020

  1. Bentata Y. Tacrolimus: 20 years of use in adult kidney transplantation. What we should know about its nephrotoxicity. Artifical Organs 2020;44(2):140-52. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]

Dieperink 1985

  1. Dieperink H, Starklint H, Leyssac PP, Kemp E. Glomerulotubular function in cyclosporine-treated rats. A lithium clearance, occlusion time/transit time and micropuncture study. Proceedings of the European Dialysis & Transplant Association - European Renal Association 1985;21:853-9. [MEDLINE: ] [PubMed] [Google Scholar]

Ekberg 2007

  1. Ekberg H, Tedesco-Silva H, Demirbas A, Vítko S, Nashan B, Gürkan A, et al. Reduced exposure to calcineurin inhibitors in renal transplantation. New England Journal of Medicine 2007;357(25):2562-75. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]

Fioretto 2011

  1. Fioretto P, Najafian B, Sutherland DE, Mauer M. Tacrolimus and cyclosporine nephrotoxicity in native kidneys of pancreas transplant recipients. Clinical Journal of The American Society of Nephrology: CJASN 2011;6(1):101-6. [MEDLINE: ] [DOI] [PMC free article] [PubMed] [Google Scholar]

Gonwa 2002

  1. Gonwa TA, Mai ML, Smith LB, Levy MF, Goldstein RM, Klintmalm GB. Immunosuppression for delayed or slow graft function in primary cadaveric renal transplantation: Use of low dose tacrolimus therapy with post-operative administration of anti-CD25 monoclonal antibody. Clinical Transplantation 2002;16(2):144-9. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]

GRADE 2008

  1. Guyatt GH, Oxman AD, Vist GE, Kunz R, Falck-Ytter Y, Alonso-Coello P, et al. GRADE: an emerging consensus on rating quality of evidence and strength of recommendations. BMJ 2008;336(7650):924-6. [MEDLINE: ] [DOI] [PMC free article] [PubMed] [Google Scholar]

GRADE 2011

  1. Guyatt G, Oxman AD, Akl EA, Kunz R, Vist G, Brozek J, et al. GRADE guidelines: 1. Introduction-GRADE evidence profiles and summary of findings tables. Journal of Clinical Epidemiology 2011;64(4):383-94. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]

Halloran 2004

  1. Halloran PF. Immunosuppressive drugs for kidney transplantation. New England Journal of Medicine 2004;351(26):2715-29. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]

Higgins 2003

  1. Higgins JP, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ 2003;327(7414):557-60. [MEDLINE: ] [DOI] [PMC free article] [PubMed] [Google Scholar]

Higgins 2024

  1. Higgins JP, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, et al. Cochrane Handbook for Systematic Reviews of Interventions version 6.5. Cochrane (updated August 2024), 2024. Available from www.training.cochrane.org/handbook.

Huijben 2023

  1. Huijben JA, Kramer A, Kerschbaum J, Meester J, Collart F, Arevalo OL, et al. Increasing numbers and improved overall survival of patients on kidney replacement therapy over the last decade in Europe: an ERA Registry study. Nephrology Dialysis Transplantation 2023;38(4):1027-40. [PMID: ] [DOI] [PMC free article] [PubMed] [Google Scholar]

Irish 2010

  1. Irish WD, Ilsley JN, Schnitzler MA, Feng S, Brennan DC. A risk prediction model for delayed graft function in the current era of deceased donor renal transplantation. American Journal of Transplantation 2010;10(10):2279-86. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]

Johansen 2021

  1. Johansen KL, Chertow GM, Foley RN, Gilbertson DT, Herzog CA, Ishani A, et al. US Renal Data System 2020 Annual Data Report: Epidemiology of Kidney Disease in the United States. American Journal of Kidney Diseases 2021;77(4 Suppl 1):A7-8. [MEDLINE: ] [DOI] [PMC free article] [PubMed]

Karpe 2017

  1. Karpe KM, Talaulikar GS, Walters GD. Calcineurin inhibitor withdrawal or tapering for kidney transplant recipients. Cochrane Database of Systematic Reviews 2017, Issue 7. Art. No: CD006750. [DOI: 10.1002/14651858.CD006750.pub2] [DOI] [PMC free article] [PubMed] [Google Scholar]

Kawakita 2020

  1. Kawakita S, Beaumont JL, Jucaud V, Everly MJ. Personalized prediction of delayed graft function for recipients of deceased donor kidney transplants with machine learning. Scientific Reports 2020;10(1):18409. [MEDLINE: ] [DOI] [PMC free article] [PubMed] [Google Scholar]

KDIGO 2009

  1. Kidney Disease: Improving Global Outcomes (KDIGO) Transplant Work Group. KDIGO clinical practice guideline for the care of kidney transplant recipients. American Journal of Transplantation 2009;9 Suppl 3:S1-155. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]

Klein 2002

  1. Klein IH, Abrahams A, Ede T, Hené RJ, Koomans HA, Ligtenberg G. Different effects of tacrolimus and cyclosporine on renal hemodynamics and blood pressure in healthy subjects. Transplantation 2002;73(5):732-6. [PMID: ] [DOI] [PubMed] [Google Scholar]

Laskow 1990

  1. Laskow DA, Curtis JJ, Luke RG, Julian BA, Jones P, Deierhoi MH, et al. Cyclosporine-induced changes in glomerular filtration rate and urea excretion. American Journal of Medicine 1990;88(5):497-502. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]

Liyanage 2015

  1. Liyanage T, Ninomiya T, Jha V, Neal B, Patrice HM, Okpechi I, et al. Worldwide access to treatment for end-stage kidney disease: a systematic review. Lancet 2015;385(9981):1975-82. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]

Lusco 2017

  1. Lusco MA, Fogo AB, Najafian B, Alpers CE. AJKD atlas of renal pathology: calcineurin inhibitor nephrotoxicity. American Journal of Kidney Diseases 2017;69(5):e21-2. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]

Mihatsch 1998

  1. Mihatsch MJ, Kyo M, Morozumi K, Yamaguchi Y, Nickeleit V, Ryffel B. The side-effects of ciclosporine-A and tacrolimus. Clinical Nephrology 1998;49(6):356-63. [MEDLINE: ] [PubMed] [Google Scholar]

Montagud‐Marrahi 2021

  1. Montagud-Marrahi E, Molina-Andújar A, Rovira J, Revuelta I, Ventura-Aguiar P, Piñeiro G, et al. The impact of functional delayed graft function in the modern era of kidney transplantation - A retrospective study. Transplant International 2021;34(1):175-84. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]

Moore 2009

  1. Moore J, Middleton L, Cockwell P, Adu D, Ball S, Little MA, et al. Calcineurin inhibitor sparing with mycophenolate in kidney transplantation: a systematic review and meta-analysis. Transplantation 2009;87(4):591-605. [DOI: 10.1097/TP.0b013e318195a421] [DOI] [PubMed] [Google Scholar]

Murray 1985

  1. Murray BM, Paller MS, Ferris TF. Effect of cyclosporine administration on renal hemodynamics in conscious rats. Kidney International 1985;28(5):767-74. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]

Naesens 2009

  1. Naesens M, Kuypers DR, Sarwal M. Calcineurin inhibitor nephrotoxicity. Clinical Journal of The American Society of Nephrology: CJASN 2009;4(2):481-508. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]

Nankivell 2016

  1. Nankivell BJ, PʼNg CH, OʼConnell PJ, Chapman JR. Calcineurin inhibitor nephrotoxicity through the lens of longitudinal histology: comparison of cyclosporine and tacrolimus eras. Transplantation 2016;100(8):1723-31. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]

Radermacher 1998

  1. Radermacher J, Meiners M, Bramlage C, Kliem V, Behrend M, Schlitt HJ, et al. Pronounced renal vasoconstriction and systemic hypertension in renal transplant patients treated with cyclosporin A versus FK 506. Transplant International 1998;11(1):3-10. [PMID: ] [DOI] [PubMed] [Google Scholar]

RevMan 2024 [Computer program]

  1. Review Manager (RevMan). Version Version 7.22.0. The Cochrane Collaboration, 2024. Available at https://revman.cochrane.org.

Ruiz‐Martínez 2019

  1. Ruiz-Martínez L, De-Cos-Gómez M, Valero-San-Cecilio R, Rodrigo-Calabia E, Heras-Vicario M, Serrano-Soto M, et al. Usefulness of delayed introduction of tacrolimus in kidney transplants using type-III donors after circulatory death. Transplantation Proceedings 2019;51(2):337-40. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]

Schunemann 2024a

  1. Schünemann HJ, Higgins JP, Vist GE, Glasziou P, Akl EA, Skoetz N, et al. Chapter 14: Completing ‘Summary of findings’ tables and grading the certainty of the evidence [last updated August 2023]. In: Higgins JPT, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, Welch VA (editors). Cochrane Handbook for Systematic Reviews of Interventions version 6.5. Cochrane, 2024. Available from www.training.cochrane.org/handbook.

Schunemann 2024b

  1. Schünemann HJ, Vist GE, Higgins JP, Santesso N, Deeks JJ, Glasziou P, et al. Chapter 15: Interpreting results and drawing conclusions [last updated August 2023]. In: Higgins JPT, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, Welch VA (editors). Cochrane Handbook for Systematic Reviews of Interventions version 6.5. Cochrane, 2024. Available from www.training.cochrane.org/handbook.

Sharif 2011

  1. Sharif A, Shabir S, Chand S, Cockwell P, Ball S, Borrows R. Meta-analysis of calcineurin-inhibitor-sparing regimens in kidney transplantation. Journal of the American Society of Nephrology 2011;22(11):2107-18. [DOI: 10.1681/ASN.2010111160] [DOI] [PMC free article] [PubMed] [Google Scholar]

Siedlecki 2011

  1. Siedlecki A, Irish W, Brennan DC. Delayed graft function in the kidney transplant. American Journal of Transplantation 2011;11(11):2279-96. [MEDLINE: ] [DOI] [PMC free article] [PubMed] [Google Scholar]

SONG 2017

  1. SONG Handbook Version 1.0 (2017). Available at: www.songinitiative.org/reports-and-publications/ (accessed 19 March 2024).

Weber 2002

  1. Weber M, Dindo D, Demartines N, Ambühl PM, Clavien PA. Kidney transplantation from donors without a heartbeat. New England Journal of Medicine 2002;347(4):248-55. [MEDLINE: ] [DOI] [PubMed] [Google Scholar]

References to other published versions of this review

Oliveras 2022

  1. Oliveras L, Lopez-Vargas P, Melilli E, Codina S, Royuela A, Coloma López A, et al. Delayed initiation or reduced initial dose of calcineurin‐inhibitors for kidney transplant recipients. Cochrane Database of Systematic Reviews 2022, Issue 11. Art. No: CD014855. [DOI: 10.1002/14651858.CD014855] [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from The Cochrane Database of Systematic Reviews are provided here courtesy of Wiley

RESOURCES