Abstract
Background and Aims: Recipient demographics affect outcomes after kidney transplantation. The aim of this study was to assess, for kidneys retrieved from living donors, the effect of recipient sex, ethnicity, and body mass index (BMI) on delayed graft function (DGF) and one-year graft function, incidence of acute rejection (AR), and recipient and graft survivals. Methods: A systematic review and meta-analysis was performed. EMBASE and MEDLINE databases were searched using algorithms through Ovid. Web of Science collection, BIOSIS, CABI, Korean Journal database, Russian Science Citation Index, and SciELO were searched through Web of Science. Cochrane database was also searched. Risk of bias was assessed using the NHBLI tools. Data analysis was performed using Revman 5.4. Mean difference (MD) and risk ratio (RR) were used in analysis. Results: A total of 5129 studies were identified; 24 studies met the inclusion criteria and were analysed. Female recipients were found to have a significantly lower serum creatinine 1-year-post renal transplantation (MD: −0.24 mg/dL 95%CI: −0.18 to −0.29 p < 0.01) compared to male recipients. No significant difference in survival between male and female recipients nor between Caucasians and Africans was observed (p = 0.08). However, Caucasian recipients had a higher 1-year graft survival compared to African recipients (95% CI 0.52−0.98) with also a lower incidence of DGF (RR = 0.63 p < 0.01) and AR (RR = 0.55 p < 0.01). Recipient obesity (BMI > 30) was found to have no effect on 1-year recipient (p = 0.28) and graft survival (p = 0.93) compared to non-obese recipients although non-obese recipients had a lower rate of DGF (RR = 0.65 p < 0.01) and AR (RR = 0.81 p < 0.01) compared to obese recipients. Conclusions: Gender mismatch between male recipients and female donors has negative impact on graft survival. African ethnicity and obesity do not to influence recipient and graft survival but negatively affect DGF and AR rates.
Keywords: BMI, ethnicity, living donation, kidney transplant, recipient’s demographics
1. Introduction
In kidney transplantation, the relative contribution of donor versus other factors on clinical outcomes is considered a main criterion to allocate an organ [1].
Living kidney donation (LKD) represents the optimal treatment for kidney failure [2,3]. Previous reports on deceased donation indicate that the donor constitution has small or moderate effect on post-transplant clinical outcomes [4], while it is widely accepted that a living donor (LD) kidney tends to function immediately, reducing the risk of hospitalisation and renal replacement therapy after transplantation to less than 4% [5] and thus setting up the recipient for the best possible result.
In the context of living donation, recipient demographics are considered equally important and are constantly evaluated as potential contraindications for an LD to come forward. For instance, there is still an ongoing debate whether or not to use a body mass index (BMI) cut-off [6], especially if that specific recipient has already one or more LDs under evaluation, in consideration of the risks related to LKD and the hypothesized inferior outcomes related to obesity [7,8].
Additionally, growing attention is being attributed to donor-recipient gender match [9] and ethnicity, in consideration of the fact that African and Asian candidates face prolonged waiting times due to difficulties in the matching process, mostly because of the scarcity of donors from these minority groups [10].
The aim of this study was to assess, for kidneys retrieved from LDs, the effect of recipient sex, ethnicity, and BMI on short- and long-term graft outcomes.
2. Methods
The study was registered with PROSPERO (CRD42020221109) before commencement of the literature search. The review was conducted and reported according to PRISMA guidelines [5].
2.1. Search Strategy
Literature searches were performed in Ovid (EMBASE, MEDLINE), Web of Science, and Cochrane databases, using combinations of free text and keyword terms for living kidney donation and donor demographics of interest. A full search strategy is shown in Appendix A (Table A1, Table A2 and Table A3). Searches were conducted on 14/11/20 and according to the PRISMA flowchart (Figure 1)
Figure 1.
PRISMA Flowchart.
2.2. Inclusion/Exclusion Criteria
Any study relating to recipient’s demographic characteristics on graft outcomes after LKD were eligible for inclusion, including full articles and meeting abstracts. Only studies in English were included for the analysis.
2.3. Outcomes of Interest
The primary objective was to assess the effect of recipient demographics of ethnicity, BMI, and sex on kidney function evaluated using estimated glomerular filtration rate (eGFR) adjusted for body surface area, serum creatinine, and proteinuria incidence, where reported.
The secondary objectives included assessing effect of the above-mentioned recipient demographics on patient and graft survival, incidence of delayed graft function (DGF), and acute rejection (AR).
2.4. Screening and Data Extraction
Study identification and data extraction were performed in three stages: the first stage included downloading the studies identified by the search strategy from Cochrane, Ovid, and Web of Science databases into EndNote reference management software. The reference management software was then used to remove duplicate studies. The second stage included two independent researchers (M.I.B. and M.N.) screening the titles and abstracts of long-listed studies. The researchers then each produced a list of studies eligible for the review. The two lists were compared to produce a single short-list of studies selected for full text review. The third stage of data extraction included the researchers fully read of the short-listed studies to identify the studies meeting the inclusion criteria. Data extraction was performed by two independent reviewers (M.I.B. and M.N.), and disagreements were solved by discussion or consulting a third reviewer. Data were extracted into a Microsoft Excel sheet.
2.5. Risk of Bias Assessment
Risk of bias assessment was performed using National Institute of Health National Heart, Lung and Blood Institute (NIH NHBLI) quality assessment tool [6], as shown in Appendix B. Two independent reviewers, M.I.B. and M.N., judged the quality of the articles and compared their results.
2.6. Meta-Analysis
All data analyses were performed in Revman 5.4.1 and IBM SPSS Statistics 26. Meta-analysis of mean difference was used for continuous data. Random effect models were used for all meta-analyses due to the heterogeneous and small study samples. Mean differences with a 95% confidence interval were calculated for the summary effect. The Z test was performed to calculate p-values. Where p-values were <0.05, and 95% CI did not include 0, a statistically significant difference between the two groups was recorded. Forest plots were created in Revman 5.4.1. Heterogeneity of the data was assessed using the I2 test, where the I2 value greater than 0.5 heterogeneity of the data was assumed to be high and where the I2 value lower than 0.5 heterogeneity of the data was assumed to be low.
3. Results
A total of 5129 studies were identified; 24 studies met the inclusion criteria and were analysed.
3.1. Recipient Sex
Jacobs et al. [11] compared graft survival between male and female transplant recipients at one- and three-years post-transplantation. Wafa et al. [12] compared graft survival between male and female recipients at five- and 10- years post-transplantation. Both studies found no significant difference in short- and long-term graft survivals between male and female transplant recipients, also showing no significant difference between graft survival in transplant recipients who were the same gender as the donor and transplant recipients who were of a opposite gender as their donor. More in detail, Wafa et al. [12] found no difference between graft survival in male recipients who had received their kidney from a male or female donor, both five years and 10 years after receiving a renal transplant. The same findings were confirmed by Jacobs et al. [11], who reported no difference between graft survival in male recipients who had received their kidney from a male or female donor at one year post-transplantation; however, at three years of follow up, male recipients who had received a transplant from a male donor were 65% less likely to lose a graft compared to male recipients who received graft from a female donor (RR = 0.35; chi-square p = 0.006). In both studies, there was no significant difference in graft survival between females who received grafts from male and female donors.
Four studies [9,11,13,14] investigated the effect of recipient gender on the post-transplantation serum creatinine. Naderi et al. [9], Jacobs et al. [11], and Villeda-Sandoval et al. [13] compared one-year post-transplantation serum creatinine between male and female recipients of LD kidney grafts. Figure 2a shows how female recipients on average had a serum creatinine 0.24 mg/dL (0.18 to 0.29) lower than male recipients (p < 0.00001).
Figure 2.
(a) Effect of recipient gender on serum creatinine 1-year post-transplantation. (b) Effect of matching genders between recipient and donor on 1-year post-transplantation serum creatinine. (c) One-year post-transplantation serum creatinine in male renal transplant recipients based on the gender of their donor. (d) One-year post-transplantation serum creatinine in female renal transplant recipients based on the gender of their donor. (e) One-year post-transplantation eGFR in male renal transplant recipients compared to female recipients. (f) Effect of matching genders of renal donor and recipient on 1-year post-transplantation eGFR. (g) One-year post-transplantation eGFR in male renal transplant recipients based on the gender of their donor. (h) One-year post-transplantation eGFR in female renal transplant recipients based on the gender of their donor.
All four studies [9,11,13,14] compared one-year post-transplantation serum creatinine in recipients of kidney grafts from the same gender donors and opposite gender donors. No significant difference between recipients of renal transplants from the same gender donors and opposite gender donors (p = 0.78), (Figure 2b).
Three studies [8,10,12] compared one-year post-transplantation serum creatinine in male recipients receiving a transplant from male and female donors. No significant was found in one-year post-transplantation serum creatinine male recipients recovering a graft from female donors and male donors p = 0.06 (Figure 2c).
No significant difference in one-year post-transplantation serum creatinine was found between female recipients who had received their transplant from a male donor and female recipients who had received their transplant from a female donor (p = 0.22), as represented in Figure 2d.
Three studies [8,10,12] compared eGFR between male and female recipients of renal transplantation following a donation from either same gender or opposite gender donor. No significant difference in eGFR (p = 0.52) was found one-year post-transplantation between male and female renal transplant recipients (Figure 2e).
In Figure 2f, an important finding is that patients who received a graft from same sex donor had a significantly higher eGFR compared to recipients who received a graft from a donor of opposite sex (p < 0.00001). The effect size of the difference between 2 means was medium (95%CI: 0.14 to 1.22).
More in detail, male recipients who received a transplant from a male donor had a significantly higher eGFR compared to male recipients who received a transplant from a female donor (p < 0.00001), as represented in Figure 2g, while on the contrary, there was no significant difference in eGFR one-year post-transplantation between female recipients who received their graft from a male donor compared to those who received a graft from a female donor (p = 0.13) (Figure 2h).
Two studies [15,16] investigated the effect of recipient gender on the development of diabetes mellitus on grafts retrieved from LKDs. Xu et al. [15] compared the incidence of diabetes at three months of follow up, whereas Xie et al. [16] followed patients up 53.5 ± 10.4. Both studies found no significant difference between the incidence of diabetes in male and female renal transplant recipients.
Two studies [17,18] compared proteinuria between four groups: male recipients who received a transplant from a male, male recipients who received a transplant from a female, female recipients who received a transplant from male, and female recipients who received a transplant from a female. Oh et al. [18] found no significant difference in proteinuria 24 h after surgery between the four groups. On the other hand, Yanishi et al. [17] found proteinuria to be significantly lower in female recipients who had received a graft from a male donor compared to recipients who had received a transplant from the donor of the same gender as them and to male recipients who had received a renal graft from a female donor (Table 1).
Table 1.
Effect of donor-recipient sex match on the graft proteinuria.
| Proteinuria | Male to Male | Male to Female | Female to Female | Female to Male | Outcomes Reported in the Paper |
|---|---|---|---|---|---|
| Oh et al. Protein excretion (mg/d), 24 h urine post-op. | MM (n = 65): 23.4 +/− 61.6 | MF (n = 34): 81.9 +/− 354.4 | FF (=29): 9.7 +/− 51.6 | FM (n = 67): 36.1 +/− 123.8 | Independent sample t-test: MM-FM (p = 0.461), MF-FF (p = 0.282); MM-MF (p = 0.198), FM-FF: (p = 0.273). |
| Yanishi et al. (mg/day). Recipient proteinuria at 1-year post-surgery. | Group 1(same gender) n = 6: 135.2 ± 98.1 | Group 2: (male donor to female recipient) (n = 8). 63.7 ± 28.7 | Group 1(same gender) n= 6: 135.2 ± 98.1 | Group 3: female donor to male recipient (n = 17): 205.5 ± 35.2 | ANOVA between the 3 groups found the lowest proteinuria to be in the Male to Female group (p < 0.01). |
3.2. Recipient Ethnicity
Four studies [19,20,21,22] compared recipient survival one-year post-transplantation in Caucasian and African renal transplant recipients. There was no significant statistical difference between the recipient survival in Caucasian and African recipients (p = 0.88) (Figure 3a).
Figure 3.
(a) Effect of recipient ethnicity on 1-year post-transplantation recipient survival. (b) Effect of recipient ethnicity on the incidence of acute rejection. (c) Effect of recipient ethnicity on the incidence of delayed graft function. (d) Effect of recipient ethnicity on 1-year graft survival.
Williams et al. [22] and Isaacs et al. [23] compared the incidence of acute rejection in Caucasian and African recipients (Figure 3b), the latter finding a significantly lower incidence of acute rejection in Caucasian transplant recipients compared to African recipients. On the contrary, Williams et al. [11] found a higher rate of acute rejection in Caucasian recipients compared to African recipients; however, this finding was non-significant. Overall, the incidence of acute rejection post-transplantation was found to be 45% lower in Caucasian group compared to the African group; this difference was significant (p < 0.00001) [24].
Two studies by Williams [22] and Redfield [5] compared the incidence of DGF between Caucasian ethnicity and African ethnicity transplant recipients. Caucasian recipients were found to have a 47% lower rate of DGF following renal transplantation compared to African recipients (p ≤ 0.00001), as shown in Figure 3c.
Six studies compared rates of graft survival one year following renal transplantation between Caucasian and African recipients [19,20,24,25,26,27]. Ilyas et al. further split the cohorts of Caucasian and African ethnicity donors into sub-groups by whether they received anti-lymphocyte induction treatment or not. Overall, Caucasian recipients had a 29% reduced risk of losing the graft within the first year after transplantation compared to African recipients, and this difference was significant p = 0.04 (Figure 3d).
3.3. Recipient Body Mass Index
Four studies investigated effect of recipient BMI on the post-transplantation one-year recipient and graft survival [28,29,30,31], finding no significant difference in obese and non-obese recipients (p = 0.28) (Figure 4a).
Figure 4.
(a) Effect of recipient BMI on 1-year post-transplantation recipient survival. (b) Effect of recipient BMI on 1-year post-transplantation graft survival. (c) Effect of recipient BMI on the development of acute rejection. (d) Effect of recipient BMI on the development of delayed graft function.
There was no significant difference between one-year graft survival in the obese and non-obese groups (p = 0.93), as observed in Figure 4b.
In Figure 4c, four studies [28,30,32,33] were compared to look at the difference in the acute rejection incidence between non-obese and obese recipients.
It was found that non-obese donors were 19% less likely to develop acute transplant rejection compared to obese recipients (p < 0.00001) (Figure 4c). Non-obese donors were also 35% less likely to develop DGF compared to obese donors (p < 0.00001) (Figure 4d).
4. Discussion
The survival advantages of transplantation over long-term dialysis are known if a given patient with end-stage kidney disease is suitable for a transplant. A major challenge is to optimize modifiable variables that could improve long-term survival [34], and with the present study, we aimed to assess the impact of recipient demographic characteristics of sex, ethnicity, and BMI on kidney grafts retrieved from LDs.
With regards to sex, an interesting finding of our meta-analysis was that at three years follow up, male recipients who had received a transplant from a male donor were 65% less likely to lose a graft compared to male recipients who have received grafts from female donors. This result might lead to think there is a nephron mass effect playing an increasing role in the medium and long-term graft function, as a female kidney could be in general of lower weight and therefore with less functional nephrons, demonstrated also by a lower eGFR in women in the general population [35].
In addition to this, the graft survival advantage for male recipients of male donor kidneys was previously also reported by Kayler et al. [36], who analysed the Scientific Registry of Transplant Recipients database between 1990 and 1999 and who pointed out the gender disparities in LD transplantation, with a higher proportion of wife-to-husband donations and disproportionate female-to-male donations among biological relatives and unrelated pairs.
In the present meta-analyses, we found no significant difference in graft survival among female recipients according to the sex of their donors. To this regard, as a risk factor for inferior outcomes in women, it is worth to mention the theory related to the sex-determined minor histocompatibility antigen (H-Y antigen), firstly described in 1976 on a female recipient who rejected the bone marrow transplant from her HLA-identical brother [37]. More recently, the highest number of H-Y antibodies detected in the blood of female recipients transplanted with kidneys from male donors in comparison to other sex combinations was reported to significantly correlate with the higher occurrence of acute rejection [38]. This consideration implies a careful evaluation of every possible intervention and consequent risk of sensitization in transplant patients [39]. In literature, this is supported for both deceased and living donation, as sustained by Tan et al. [40], who recommend a major focus on clinical detection of markers for minor histocompatibility loci.
Although almost significant (p = 0.06), the above finding was confirmed in one-year post transplant serum creatinine, with male recipients recovering better from a graft from male donors. In this view, the use of sex as a biological variable in medical research is increasingly recognized as an important modulator to better understand the complex pathophysiology of several diseases [41] and better address the future health needs. Furthermore, our study adds to the evidence that in transplantation, relevant sex-specific issues are underrecognized factors influencing patient and transplant outcomes: it is already known that women are less likely to access kidney transplantation in general, as well as transplantation from LD; therefore, whenever possible, a better gender matching is advisable for better outcomes.
This approach with a close eye to diversity and inclusion extends also to individuals from minority backgrounds: interventions to ameliorate the effects of demographic discrepancies, different ethnicity, and cultural backgrounds may improve access to transplantation [42,43] as well as transplant outcomes. From our analysis, Caucasian recipients were found to have a 47% lower rate of DGF following renal transplantation compared to African recipients (p = <0.00001) as well as lower AR incidence. Reasons unpinning this discrepancy are several, from different socio-economic status to prevalence of metabolic diseases [44], although a better and more inclusive allocation policy as well sensibilization of Black and Asian minorities to donate could represent an important key to improve ethnicity-related outcomes [42]; in fact, from our meta-analysis, Caucasian recipients had a 29% recused risk of losing the graft within the first year after transplantation.
Finally, the same discourse regarding discrimination could be raised with regards to high BMI recipients who are denied access to the waiting list because of their body weight only. From the present meta-analysis, the four studies investigating the effect of recipient BMI on the post-transplantation one-year recipient and graft survival [28,29,30,31] found no significant difference in obese and non-obese recipients (p = 0.28); therefore, even if it is true that bridge interventions, such as bariatric surgery [45], are increasingly being adopted to overcome this barrier, we think that obese patients should have the same chance as their non-obese counterparts, at least for LD renal transplantation. We also believe that obesity, as a metabolic and systemic disease, leads to higher AR and DGF rates, as per our findings; therefore, an additional effort trying to maximize all the adding risk factors to graft and patient loss is advisable, with a tailored immunosuppression [7].
5. Limitations
The retrospective nature of the studies analysed has limited the level of evidence we could achieve, based on observational registry data, small number of studies, and great deal of heterogeneity. Longer-term follow up reports should be also warranted to better analyse any potential relationship between the other contributing factors and the recipients’ demographics.
6. Conclusions
In conclusion, gender mismatch between male recipients and female donors has a negative impact on graft survival, with male recipients who received a transplant from a male donor 65% less likely to lose a graft compared to male recipients who have received grafts from female donors. African ethnicity increases DGF and AR rates compared to the Caucasian, and no significant difference between one-year graft survival in the obese and non-obese groups has been observed; therefore, BMI-only cut-offs to waitlist are not considered appropriate.
Abbreviations
AR, acute rejection; BMI, body mass index; DGF, delayed graft function; eGFR, estimated glomerular filtration rate; LD, living donor; LKD, living kidney donation.
Appendix A. Search Strategy
EMBASE and MEDLINE databases were searched through Ovid on 14/11/2020, the search algorithm used is shown in Table A1. English language filter was applied to the search.
Table A1.
Search algorithm used to search EMBASE and MEDLINE databases through Ovid.
| Step | Input |
|---|---|
| 1 | gender/ or "gender and sex"/ |
| 2 | sex/ or sex difference/ |
| 3 | sex |
| 4 | age/ |
| 5 | ethnicit* |
| 6 | ethnic minorit* |
| 7 | BAME |
| 8 | exp "ethnic or racial aspects"/ |
| 9 | BMI/ |
| 10 | BMI or weight |
| 11 | genetic relationship/ |
| 12 | 1 or 2 or 3 or 4 |
| 13 | 5 or 6 or 7 or 8 or 9 or 10 or 11 |
| 14 | 12 and 13 |
| 15 | exp kidney donor/ |
| 16 | kidney transplantation/ |
| 17 | living donor/ |
| 18 | exp graft recipient/ |
| 19 | 15 or 16 or 17 or 18 |
| 20 | 14 and 19 |
Web of Science core collection, BIOSIS (1950-2008), CABI, Korean Journal database, Russian Science Citation Index and SciELO were searched through Web of Science search engine on 14/11/2020. The search algorithm used is shown in Table A2.
Table A2.
Search algorithm used to search Web of Science core collection, BIOSIS (1950-2008), CABI, Korean Journal database, Russian Science Citation Index and SciELO through Web of Science.
| Step | Input |
|---|---|
| 1 | TS=(sex or gender) |
| 2 | TS=(sex and difference) |
| 3 | TS=age |
| 4 | TS=(ethnicit* or ethnic minorit*) |
| 5 | TS=BAME |
| 6 | TS=(ethnic* or race) |
| 7 | TS=(BMI or weight) |
| 8 | TS=genetic relationship |
| 9 | #1 or #2 or #3 |
| 10 | #4 or #5 or #6 or #7 or #8 |
| 11 | #9 and #10 |
| 12 | TS=kidney |
| 13 | TS=transplantation |
| 14 | TS=(living or live or non-deceased) |
| 15 | TS=(donor) |
| 16 | TS=graft |
| 17 | TS=recipient |
| 18 | #12 and #13 and #14 and #15 and #16 and #17 |
| 19 | #11 and #18 |
Cochrane library database was searched on 14/11/2020. The search algorithm used is shown in Table A3.
Table A3.
Search algorithm used to search the Cochrane library database.
| Step | Input |
|---|---|
| 1 | MeSH descriptor: [Gender Identity] this term only |
| 2 | MeSH descriptor: [Sex] this term only |
| 3 | MeSH descriptor: [Sex Characteristics] this term only |
| 4 | (sex):ti,ab,kw |
| 5 | MeSH descriptor: [Age Factors] this term only |
| 6 | ethnicit* |
| 7 | ethnic minorit* |
| 8 | BAME |
| 9 | BMI |
| 10 | weight |
| 11 | MeSH descriptor: [Family] explode all trees |
| 12 | genetic relationship |
| 13 | MeSH descriptor: [Ethnic Groups] explode all trees |
| 14 | MeSH descriptor: [Continental Population Groups] explode all trees |
| 15 | #1 or #2 or #3 or #4 or #5 |
| 16 | #6 or #7 or #8 or #9 or #10 or #11 or #12 or #13 or #14 |
| 17 | #15 or #16 |
| 18 | MeSH descriptor: [Kidney] explode all trees |
| 19 | MeSH descriptor: [Tissue Donors] explode all trees |
| 20 | MeSH descriptor: [Transplantation] explode all trees |
| 21 | MeSH descriptor: [Transplant Recipients] explode all trees |
| 22 | #18 and #19 |
| 23 | #18 and #20 |
| 24 | #18 and #21 |
| 25 | #22 or #23 or #24 |
| 26 | Kidney 51158 |
| 27 | donor or transplantation or recipient or transplant |
| 28 | #26 and #27 |
| 29 | #17 AND #25 |
| 30 | #17 AND #28 |
| 31 | #29 or #30 |
Appendix B. Risk of Bias Assessment
| Reference number | Country of study | Authors | 1. Was the resarch question clearly stated? | 2. Was the study population clearly specified and defined? | 3. Was the participation of eligible persons at least 50%? | 4. Were inclusion and exclusion criteria for being in the study prespecified and applied uniformly to all participants? | 5. Was a sample size justification, power description, or variance and effect estimates provided? | 6. For the analyses in this paper, were the exposure(s) of interest measured prior to the outcome(s) being measured? | 7. Was the timeframe sufficient so that one could reasonably expect to see an association between exposure and outcome if it existed? | 8. For exposures that can vary in amount or level, did the study examine different levels of the exposure as related to the outcome (e.g., categories of exposure, or exposure measured as continuous variable)? | 9. Were the exposure measures (independent variables) clearly defined, valid, reliable, and implemented consistently across all study participants? | 10. Was the exposure(s) assessed more than once over time? | 11. Were the outcome measures (dependent variables) clearly defined, valid, reliable, and implemented consistently across all study participants? | 12. Were the outcome assessors blinded to the exposure status of participants? | 13. Was loss to follow-up after baseline 20% or less? | 14. Were key potential confounding variables measured and adjusted statistically for their impact on the relationship between exposure(s) and outcome(s)? | Quality Rating (Good, Fair or Poor) |
| [5] | USA | Redfield, R.R., et al. | Yes | Yes | Yes | Yes | Yes | Yes | Yes | No | Yes | Not applicable | Yes | No | Yes | Yes | Good |
| [9] | Iran | Naderi, G., et al. | Yes | Yes | Yes | Yes | No | Yes | Yes | Not applicable | Yes | Not applicable | Yes | No | Yes | No | Fair |
| [11] | USA | Jacobs, S.C., et al. | Yes | Yes | Yes | Yes | No | Yes | Yes | Not applicable | Yes | Not applicable | Yes | No | Yes | Yes | Good |
| [12] | Egypt | Wafa, E.W., et al. | Yes | Yes | Yes | Yes | No | Yes | Yes | Not applicable | Yes | Not applicable | Yes | No | Yes | No | Fair |
| [13] | Mexico | Villeda-Sandoval, C.I., et al. | Yes | Yes | Yes | Yes | No | Yes | Yes | Not applicable | Yes | Not applicable | Yes | No | Yes | No | Fair |
| [14] | China | Lin, J., et al. | Yes | Yes | Yes | Yes | No | Yes | Yes | Not applicable | Yes | Not applicable | Yes | No | Yes | No | Fair |
| [15] | China | Xu, J., et al. | Yes | Yes | Yes | Yes | No | Yes | Yes | Not applicable | Yes | Not applicable | Yes | No | Yes | No | Fair |
| [16] | China | Xie, L., et al. | Yes | Yes | Yes | Yes | No | Yes | Yes | Not applicable | Yes | Not applicable | Yes | No | Yes | No | Fair |
| [17] | Japan | Yanishi, M., et al. | Yes | Yes | Yes | Yes | No | Yes | Yes | Not applicable | Yes | Not applicable | Yes | No | Yes | No | Fair |
| [18] | South Korea | Oh, C.-K., et al. | Yes | Yes | Yes | Yes | No | Yes | Yes | Not applicable | Yes | Not applicable | Yes | No | Yes | No | Fair |
| [19] | USA | Pfaff, W.W., et al. | No | Yes | Yes | Yes | No | Yes | Yes | No | Yes | Not applicable | Yes | No | Yes | No | Fair |
| [20] | USA | Garvin, P.J., et al. | Yes | Yes | Yes | Yes | No | Yes | Yes | No | Yes | Not applicable | Yes | No | Yes | No | Fair |
| [21] | USA | Modlin, C.S., et al. | YEs | Yes | Yes | Yes | No | Yes | Yes | No | Yes | Not applicable | Yes | No | Yes | Yes | Good |
| [22] | UK | Williams, A., et al. | Yes | Yes | Yes | Yes | Yes | Yes | Yes | No | Yes | Not applicable | Yes | No | Yes | Yes | Good |
| [23] | USA | Isaacs, R.B., et al. | Yes | Yes | Yes | Yes | Yes | Yes | Yes | No | Yes | Not applicable | Yes | No | Yes | yes | Good |
| [24] | USA | Ilyas, M., et al. | Yes | Yes | Yes | Yes | No | Yes | Yes | No | Yes | Not applicable | Yes | No | Yes | No | Fair |
| [26] | USA | Koyama, H. et al. | Yes | Yes | Yes | Yes | Yes | Yes | Yes | No | Yes | Not applicable | Yes | No | Yes | Yes | Good |
| [27] | USA | Smith, S.R. et al. | Yes | Yes | Yes | Yes | No | Yes | Yes | No | Yes | Not applicable | Yes | No | Yes | Yes | Good |
| [28] | USA | Howard, R.J., et al. | YEs | Yes | No | Yes | No | Yes | Yes | No | Yes | Not applicable | Yes | No | Not stated | No | Fair |
| [29] | USA | Marks, W.H., et al. | Yes | Yes | Yes | Yes | No | Yes | Yes | No | Yes | Not applicable | Yes | No | Yes | No | Fair |
| [30] | USA | Mehta, R., et al. | Yes | Yes | YEs | Yes | No | Yes | Yes | No | Yes | Not applicable | Yes | No | Yes | No | Fair |
| [31] | Turkey | Erturk, T. et al. | Yes | Yes | Yes | Yes | No | Yes | Yes | No | Yes | Not applicable | Yes | No | Not stated | No | Fair |
| [32] | China | Wang, K. et al. | No | Yes | Yes | Yes | No | Yes | Yes | No | Yes | Not applicable | Yes | No | Yes | ||
| [33] | USA | Kwan, J.M., et al. | Yes | Yes | Yes | Yes | Yes | Yes | Yes | No | Yes | Not applicable | Yes | No | Yes | Yes | Good |
Author Contributions
Conceptualization, M.I.B. and V.P.; methodology, M.I.B., M.N., L.P., S.K.; software and formal analysis M.N.; investigation and data curation M.I.B. and M.N.; writing—original draft preparation, M.I.B.; writing—review and editing, L.P., S.K. and V.P. All authors have read and agreed to the published version of the manuscript.
Funding
Not applicable.
Institutional Review Board Statement
The study, performed in accordance to the Declaration of Helsinki principles, is a retrospective analysis. The data used were anonymised; the study did not require patient or public involvement nor affected patient care. The study fell under the category of research through the use of anonymised data of existing databases which, based on the Health Research Authority criteria, does not require proportional or full ethics review and approval.
Informed Consent Statement
As a meta-analysis of published data, no informed consent was required.
Data Availability Statement
The data used to support the findings of this study are included within the article.
Conflicts of Interest
The authors declare no conflict of interest.
Footnotes
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References
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Data Availability Statement
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