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. 2024 Mar 15;103(11):e37518. doi: 10.1097/MD.0000000000037518

The reporting quality of randomized controlled trials in pharmacotherapy for pituitary adenomas

Hongmei Yan a, Daiyan Wang b, Yujing Zhao a, Junjie Miao a, Zhe Wang a*,
PMCID: PMC10939664  PMID: 38489678

Abstract

Background:

Medical therapy has become an increasingly important intervention owing to improvements in the multidisciplinary care for pituitary adenomas (PAs). This study aimed to assess the reporting quality of randomized controlled trials (RCTs) on PAs pharmacotherapy.

Methods:

RCTs evaluating the efficacy of pharmacotherapy in PAs published in English between January 1, 1974, and December 31, 2022, were searched for and collected from PubMed and MEDLINE. The 2010 Consolidated Standards for Test Reports (CONSORT) statement-based 28 items overall quality score (OQS) was used to evaluate the overall quality of each report.

Results:

Twenty-seven related RCTs including 1816 patients were retrieved. The median OQS score was 12 (range, 6–19) on a scale of 0 to 28. Important items, such as background, objectives, participants, interventions, and outcomes, were sufficiently reported in 100% (27/27) of the articles. Statistical methods were adequately described in 93% (25/27) of patients. However, RCTs underreported identification as randomized trials in the title (3/27, 11%), sample size, allocation concealment, implementation, ancillary analysis method, and Diagram and Ancillary analyses (1/27, 4%). The OQS of published RCTs has significantly increased since 2010 (P = .012). The multivariate final model showed significant associations between higher OQS and publication since 2010 and enrollment of more than 100 patients.

Conclusions:

The overall reporting quality of RCTs on pharmacotherapy in PAs was poor, based on the 2010 CONSORT statement. However, we noticed an improvement in the OQS over the years and identified the factors associated with a better report. Increased effort is necessary to raise awareness of these issues among writers, readers, reviewers, and editors.

Keywords: CONSORT statement, pharmacotherapy, pituitary adenoma, randomized controlled trial, reporting quality

1. Introduction

Randomized controlled trials (RCTs) are considered the gold standard for evaluating interventions because of their ability to minimize or avoid bias.[1,2] Recent methodological analyses have indicated that insufficient reporting and design are associated with biased estimates of the treatment effects. Such systematic errors are seriously damaging to RCTs, and misleading readers and investigators not to judge the reliability and validity of trial findings or obtain information.[3] Critical appraisal of the quality of clinical trials is only possible if the design, conduct, and analysis of RCTs are thoroughly and accurately described in the report. Far from being transparent, RCT reporting is often incomplete, with compounding problems arising from poor methodologies.[3,4]

The Consolidated Standards of Reporting Trials (CONSORT) statement was first published in 1996 and revised in 2001 and 2010. It consists of a checklist and flow diagram that can be used to report an RCT.[3,5] The CONSORT statement facilitates critical appraisal and interpretation of RCTs. The update of CONSORT guidelines is an extremely solid set of standards for reporting clinical trials. More than 400 leading general and specialty journals and biomedical editorial groups have provided official support for CONSORT.[3]

Pituitary adenomas (PAs), which account for 15% of diagnosed intracranial neoplasms, are usually classified as functioning or nonfunctioning adenomas. The critical location, mass effects, and hormone hypersecretion sustain PAs with significant morbidity and mortality.[6] Trans-sphenoidal surgical resection of tumors represents the first-line treatment for most tumor types, except for prolactinomas, where medical therapy with dopamine agonists is preferred. For most functional adenomas, multimodal therapy controlling hormone secretion and adenoma growth leads to improved quality of life and decreased mortality, and most patients usually require lifelong drug treatment.[7] The options for medical therapy for patients depend on cell type, hormone secretory activity, and growth behavior.[8] Several emerging, novel, medical treatments for acromegaly, Cushing disease, and prolactinomas are in phase II and III clinical trials and may become effective additions to the current drug armamentarium.[9,10]

Refractory PAs are defined as aggressive–invasive PAs characterized by rapid growth, frequent recurrence, and resistance to standard therapeutic approaches.[9,11] These patients with refractory PAs often require continued therapy including medical therapy, radiotherapy, and reoperation. Unfortunately, these patients do not respond to traditional treatments and have very poor prognoses.[12] Recently, temozolomide (TMZ) has shown moderate efficacy for the treatment of refractory PAs.[13,14] Moreover, targeted therapies such as antiepidermal growth factor receptor, antivascular endothelial growth factor, and inhibitors of the mammalian target of rapamycin (mTOR) signaling pathway have also been used to treat refractory PAs. Cancer immunotherapy is a promising treatment option for patients with refractory PAs.[1517]

Therefore, it is crucial to evaluate the reporting quality of RCTs on pharmacotherapy in PAs because insufficiently reported RCTs may mislead clinical practice. This study aimed to assess the overall reporting quality of published RCTs on medical therapy for PAs, based on the 2010 CONSORT statement.

2. Methods and materials

2.1. Trial selection

We searched PubMed/MEDLINE (http://www.pubmed.gov) to include all RCTs examining pharmacotherapy for PAs published in English between January 1, 1974, and December 31, 2022 (Fig. 1). The search was performed using the terms (“pituitary adenomas” “randomized controlled trials,” and “pharmacotherapy”) OR (“pituitary adenomas” “randomized controlled trials,” and “medical”) OR (“pituitary adenomas” “randomized controlled trials,” and “drug”) OR (“pituitary adenomas” “randomized controlled trials,” and “medicines”) OR (“pituitary tumors” “randomized controlled trials,” and “medicine”) OR (“pituitary tumors” “randomized controlled trials,” and “medication”) OR (“pituitary tumors” “randomized controlled trials,” and “pharmaceutical”).

Figure 1.

Figure 1.

Flow diagram of selection process of randomized controlled trial (RCT) articles. Abbreviations: RCT = randomized controlled trial.

The reporting quality of the included RCTs was assessed using the overall quality score (OQS),[18] consisting of modified 28 items based on the 2010 CONSORT statement (Table 1). The CONSORT explanation and elaboration documents were used for guidance.[3,19] Each item was scored as follows: 1 point when adequately reported, 0 when either inadequately reported or absent, and not applicable, according to certain features of the studies.

Table 1.

Overall quality of reporting: rating using modified items based on the 2010 CONSORT statement (n = 27).

Item Criteria Description No. of trials in which item was correctly reported % 95%CI
1 Title Identification as a randomized trial in the title 3 11 (0, 23)
2 Abstract structure Structured summary of trial design, methods, results and conclusions 17 63 (45, 81)
3 Background Adequate description of the scientific background and explanation of rationale 27 100
4 Objectives Description of the specific objectives or the scientific hypotheses in the introduction 27 100
5 Trial design Description of trial design, including allocation ratio 8 30 (12, 47)
6 Participants Description of the eligibility criteria for participants 27 100
7 Settings and location Description of the settings and locations where the data were collected 7 26 (9, 43)
8 Interventions Details of the interventions intended for each group 27 100
9 Outcomes Definition of primary and secondary outcome measures, including how and when they were assessed 27 100
10 Sample size Description of sample size calculation 1 4 (0, 11)
11 Randomization, sequence generation Definition of the method used to generate the random allocation sequence 6 22 (7, 38)
12 Randomization, restriction Description of the type of randomization; details of any restriction 4 15 (10, 28)
13 Allocation concealment Description of the mechanism used to implement the random allocation sequence to assure concealment until interventions were assigned 1 4 (0, 11)
14 Implementation Description of who generated the random allocation sequence, who enrolled participants, and who assigned participants to interventions 1 4 (0, 11)
15 Blinding Whether or not participants, those administering the interventions, or those assessing the outcomes were blinded to group assignment; if relevant, description of the similarity of interventions 18 67 (49, 84)
16 Statistical methods Description of the statistical methods used to compare groups for primary and secondary outcomes 25 93 (83,100)
17 Ancillary analysis, method Description of the methods for additional analyses, such as subgroup analyses and adjusted analyses 1 4 (0, 11)
18 Diagram A CONSORT diagram was presented to show the flow of participants 1 4 (0, 11)
19 Participant flow Details on the flow of participants through each stage of the trials (number of patients randomly assigned, receiving intended treatment, and were analyzed for the primary outcome) 13 48 (29, 67)
20 Recruitment Dates defining the periods of recruitment and follow-up 18 67 (49, 84)
21 Baseline data A table showing baseline demographic and clinical characteristics for each group 14 52 (33, 71)
22 Intent-to-treat analysis Number of patients in each group included in each analysis and whether patients were analyzed according to the group to which they were randomly assigned 2 7 (0, 17)
23 Outcomes measures For each primary and secondary outcome, a summary of results for each group, the estimated effect size and its precision (e.g., 95%CI) are provided 8 30 (12, 47)
24 Ancillary analyses Results of subgroup analyses and adjusted analyses, distinguishing prespecified from exploratory 1 4 (0, 11)
25 Adverse event classification Description of all important adverse events in each group, with classification 18 67 (49, 84)
26 Registration Presentation of the registration number and name of trial registry 4 15 (10, 28)
27 Protocol Where the full trial protocol can be accessed 3 11 (0, 23)
28 Funding Sources of funding and other support 16 59 (41, 79)

The data for each publication were reviewed and extracted by 2 well-trained investigators. They independently screened the abstracts and full texts of each RCT. For the final included articles, 2 independent investigators read the full text and extracted the data in a standardized form. Any discrepancy between the 2 investigators was resolved by discussion to reach a consensus and adjudication by a third investigator, if necessary.

As the purpose of this analysis was to explore the effect of drug therapy on PAs, research factors unrelated to drug therapy, such as surgery, radiotherapy, and marker studies, were excluded. Articles with a history of surgery or radiotherapy were also excluded. Moreover, this study excluded pediatric participants and animal studies.

2.2. Data acquisition

A detailed assessment of key methodological factors and adverse events was conducted.[20] We also extracted the characteristics that seemed relevant to further evaluate the quality of RCTs, such as the date of publication, the continent where the trial was conducted, the journal in which the article was published and its impact factor in 2022, the phase of the trial (II or III), the intervention (e.g., single medical therapy, comparison of 2 medical therapies, etc), and the number of enrolled patients.

2.3. Statistical analysis

Descriptive statistics such as the median, extreme, mean, and standard deviation were used to summarize the OQS. Frequency, percentage, and 95% confidence interval were used for quantitative data. Statistical comparisons were performed using the chi-square test or Fisher exact test for categorical data, and the Student t test or the Mann–Whitney U test for continuous variables. A parametric analysis of variance (ANOVA) or a nonparametric Kruskal–Wallis test was performed to analyze qualitative vs quantitative variables. All variables that were significant at the 5% level in the univariate models were included in the multivariate linear regression model. A forward, stepwise selection model was used to assess the final model.

3. Results

The process was performed in the steps, as shown in the flow diagram (Fig. 1). A total of 172 articles were retrieved from the initial search. After title and abstract evaluation, 71 titles that were not directly related to PAs were removed at the screening stage. 56 articles that were unrelated to drug therapy for PAs, such as surgery, radiotherapy, and marker studies, were also excluded at this stage. After the full text evaluation, 18 articles were ultimately excluded. We reported the reasons for the exclusion of these 18 articles (Supplemental Table 1, http://links.lww.com/MD/L906). Finally, 27 articles, including 1816 patients, were included in the qualitative analysis.

The ratings, according to the 2010 OQS, are listed in Table 1. The median OQS score was 12 (range, 6–19) on a scale of 0 to 28. The frequency of adherence to the individual criteria is shown in Table 1. Important items, such as background, objectives, participants, interventions, and outcomes, were sufficiently reported in 100% (27/27) of the articles. Statistical methods were adequately described in 93% (25/27) of patients.

However, a few items were reported in only a small percentage of articles. The RCTs underreported identification as randomized trials in the title (3/27; 11%; 95%CI 0–23), sample size, allocation concealment, implementation, ancillary analysis method, Diagram and Ancillary analyses (1/27, 4%; 95%CI 0–11).

The numbers and percentages of CONSORT items reported in each article are shown in Figure 2. The mean CONSORT compliance score was 43% (21%–68%). Nine articles had a CONSORT compliance of >50%.

Figure 2.

Figure 2.

The number of CONSORT items reported in each article. Abbreviations: OQS = overall quality score.

Among the key methodological factors, allocation concealment was insufficiently reported by 4% (1/27) of the articles, and only 7% (2/27) of the trials mentioned the intention-to-treat (ITT) analysis. Blinding was not reported in 37% of articles (Table 2).

Table 2.

Key methodological factors.

Key methodologic factors No. of trials in which item was correctly reported %
Methods of allocation concealment
 Centralized randomization 1 4
 Opaque, sealed, and sequentially numbered envelopes 0 0
 Numbered drug containers 0 0
 Not mentioned 26 96
Blinding
 Participating patients 16 59
 Treating physicians 8 30
 Outcome assessors 6 22
 Statistician 2 7
 Not mentioned 10 37
ITT
 Application of ITT 2 7
 Stated analyzed following ITT but did not include all randomized patients 0 0
 Not mentioned 25 93

ITT = intention-to-treat.

The characteristics of the included studies are summarized in Table 3. Most studies were conducted in Europe and North America (n = 24, 89%), while 22% (n = 6) were conducted in Asia. The studies were published in 1974 to 2000 (n = 13,48%), in 2000 to 2010 (n = 9, 33%), and in 2011 to 2022 (n = 5, 19%). The impact factor of most articles was <10 (n = 23, 85%), and that of only 15% (n = 4) was more than 10.

Table 3.

Trial characteristics.

Trial characteristics No. of studies (n = 27) %
Year of publication
 1974 to 2000 13 48
 2001 to 2010 9 33
 2011 to 2022 5 19
Region in which trials were conducted
 Asia 6 22
 Europe and North America 24 89
 Others 4 15
Journal
 Clin Endocrinol (Oxf) 8 30
 J Clin Endocrinol Metab 7 26
 Other journals 12 44
Journal impact factor
 <4 13 48
 4 to 10 10 37
 >10 4 15
Phase
 2 2 7
 3 2 7
 Unclear 24 89
Intervention
 Single medical therapy vs placebo 17 63
 Comparison of 2 medical therapies 8 30
 Others 2 7
Sample size
 <100 17 63
 100–200 9 33
 >200 1 4

The adverse event reporting scores based on the CONSORT statement for harm are shown in Table 4. The median adverse event reporting score was 3 (range 0–9) on a scale of 0–12. Adverse events were infrequently reported in these studies.

Table 4.

Adverse event reporting score.

Article section Item Description No. of trials in which item was correctly reported % 95%CI
Title/Abstract 1 Title or abstract states whether adverse events are addressed in study 9 33 (16, 51)
Purpose/Introduction 2 Introduction states whether benefits and adverse events are addressed in study 8 30 (12, 47)
Methods 3 Article specifies whether all recorded events or a selected sample of adverse events were reported 15 56 (37, 74)
4 Article specifies instrument/scale utilized to categorize adverse events 10 37 (19, 55)
5 Article specifies time frame of surveillance for adverse events 8 30 (12, 47)
6 Article specifies whether recurrent events in the same patient are counted as separate or single events 0 0
Results 7 Article reports reasons for treatment discontinuation 9 33 (16, 51)
8 Article reports whether deaths related to adverse events occurred 5 19 (39, 33)
9 Article specifies which patients were evaluable for toxicity (providing the denominators) 3 11 (0, 23)
10 Article reports absolute numbers of adverse events 18 67 (49, 84)
11 Article does not only report adverse events observed above a certain frequency or rate threshold 0 0
12 Article does not combine adverse events of varying severity 9 33 (16, 51)

CI = confidence interval.

3.1. Factors associated with RCT reporting quality

Univariate analysis of characteristic factors associated with OQS showed that the OQS of published RCTs was significantly higher when publications were published after 2010 (P = .012). The mean OQS was also higher in RCTs that enrolled > 100 patients (14 vs 11; P = .013) (Table 5). The multivariate final model showed significant associations between higher OQS and publication after 2010 and enrollment of more than 100 patients (Table 6).

Table 5.

Univariate analysis of characteristics factors associated with OQS.

Characteristics n (%) CONSORT score: mean (min–max) P value
Date of publication .012
 Before 2010 20 (74.0) 11 (6–19)
 Since 2010 7 (26.0) 15 (10–19)
Region in which trials were conducted .443
 Asia 2 (7.4) 15 (13–16)
 Europe 14 (51.8) 11 (6–17)
 North America 3 (11.2) 10 (8–13)
 Worldwide 7 (25.9) 14 (8–19)
 Others 1 (3.7) 10 (10–10)
Journal impact factor .866
 <10 23 (85.2) 12 (6–19)
 ≥10 4 (14.8) 12 (8–15)
Phase .893
 II 1 (3.7) 9 (9–9)
 III 2 (7.4) 15 (13–16)
 Unclear 24 (88.9) 12 (6–19)
Intervention .200
 Single medical therapy vs placebo 17 (62.9) 11 (6–17)
 Comparison of 2 medical therapies 10 (37.1) 13 (9–19)
 Others
Sample size .013
 <100 17 (62.9) 11 (6–16)
 ≥100 10 (37.1) 14 (9–19)

CONSORT = Consolidated Standards of Reporting Trials; OQS = overall quality score; min = minimum; max = maximum.

Table 6.

Multivariate analysis of characteristics factors associated with OQS.

Characteristics Initial model Final model
Estimate SE P value Estimate SE P value
Date of publication
 Before 2010 Reference Reference
 Since 2010 3.81 1.41 0.012 3.56 1.24 .009
Region in which trials were conducted
 Asia Reference
 Europe −3.43 2.59 0.199
 North America −4.17 3.12 0.196
 Worldwide −0.21 2.74 0.938
 Others −4.50 4.19 0.294
Journal impact factor
 <10 Reference
 ≥10 −0.34 1.97 0.866
Phase
 II Reference
 III 5.50 4.40 0.223
 Unclear 2.96 3.67 0.427
Intervention
 single medical therapy vs placebo Reference
 comparison of 2 medical therapies 1.85 1.40 0.200
 others
Sample size
 <100 Reference Reference
 ≥100 3.44 1.28 0.013 3.21 1.13 .009

CONSORT = Consolidated Standards of Reporting Trials, OQS = overall quality score, SE = standard error.

4. Discussion

In this study, CONSORT 2010 was used to evaluate the reporting quality of 27 RCTs with respect to adherence to the modified 28 checklist items. To the best of our knowledge, this is the first application of CONSORT analysis to RCTs testing pharmacotherapy in PAs, covering nearly 50 years.[3]

Our analysis indicated that the overall reporting quality of the RCTs was suboptimal. The median OQS score was 12 (range, 6–19) on a scale of 0 to 28. The percentage of articles reporting items 10, 13, 14, 17, 18, and 24 was 4% (1 of 27). The average CONSORT compliance score was 43% (21%–68%) (Fig. 2). Our results are concordant with those of previous studies. Du et al indicated that the overall reporting quality of RCTs on immunotherapy for lung cancer was unsatisfactory. The average OQS score in 2010 was 17.89 (range, 7.5–24.5).[21] Beneki et al showed that the quality of reporting according to the CONSORT statement of most RCTs comparing anticoagulant vs antiplatelet medication for Venous Thromboembolism prophylaxis is low. Most items concerning methodological issues were reported by <50% of the studies.[22] Despite our study’s finding that The CONSORT OQS remains deficient; it is encouraging that we have already seen increasing uptake of the CONSORT criteria in the neurosurgery literature as a whole.[18,23,24] We observed that reporting quality improved over time and the OQS of RCTs was significantly higher when published since 2010 (P = .012). Tardy et al also noticed an improvement in the CONSORT Score and definition of inclusion criteria over the years, revealing an effort to define more homogeneous groups. They identified that the quality of reporting of RCTs was better for studies including more patients, articles published more recently, journals with higher impact factors, and the definition of the primary outcome.[24] Our multivariate analysis revealed 2 factors statistically and independently associated with higher report quality: the date of publication (better since 2010) and the number of included patients (better when ≥100) (Table 6).

We perceived wide diversity in the quality of reports among the different items of the CONSORT OQS. Items regarding the structure of important backgrounds, objectives, participants, interventions, and outcomes were reported in 100% of the articles. However, some methodological items, such as those reporting randomization and blinding methods, have often been poorly reported. In our study, allocation concealment was reported in only 4% of articles (Table 1). Similar results have been reported in other studies. Tardy et al observed that these items were not equally reported. Items concerning the structure of the introduction, description of the study population, and description of the intervention of the assay were particularly well reported in 98%, 95%, and 88% of RCTs, respectively. However, items regarding the method of randomization or blinding were reported in <25% of the RCTs.[24] Du et al showed that the items sufficiently reported the eligibility criteria, scientific background, and discussed interventions in 94.07%, 98.7%, and 96.7% of cases, respectively. However, the RCTs did not consistently report the changes to the trial after commencement (31.6%), allocation method (22.4%), blinding (31.6%), or randomization method (38.2%).[21] We should note that the method of allocation is an important step of randomization, which reduces selection bias at trial entry. Randomization and blinding methods are crucial methodological items and a significant component of high-quality RCTs. This wide diversity may have led to poor reporting quality in RCTs. The overall poor quality of reporting of RCTs may mislead clinicians and researchers who rely on the medical literature to inform their own practice. Furthermore, poor reporting seriously affects the development of the guidelines. Well-designed and properly executed RCTs provide the most reliable evidence for the efficacy of healthcare interventions; however, trials with inadequate methods are associated with bias, especially exaggerated treatment effects.[23,25]

Our study has several limitations. First, improvements in study reporting based on the flaws revealed by the current research may have a disproportionately large effect on the quality of study reporting given the limited number of studies. Moreover, the assessors and extractors of the current review process were not blind to each other’s assessments, which can be a bias introduced into the review process. Second, we used the revised CONSORT 2010 checklist for all RCTs published in English, whether before or after 2010. We did not assess RCTs that were never published in English-language journals; therefore, they were potentially subject to publication bias. Third, we only used PubMed/MEDLINE to search for RCTs; hence, some trials may have been overlooked. Other studies performed a comprehensive and inclusive literature search of 4 databases, and their search had no language or geographic restrictions.[26,27] However, as we suppose that RCTs retrieved from PubMed/MEDLINE have the same methodological qualities as RCTs retrieved from other databases, we do not believe this had an impact on our findings. In addition, we did not compare the ITT and PP analyses in our study. It is well known that reporting both analyses is important, as nonadherence in trials affects the study conclusion. Notably, international regulatory bodies have inconsistent recommendations regarding reporting analyses for noninferiority-RCTs, whereas the EMA supports reporting both ITT and PP analyses, and the FDA discourages reporting solely ITT results without recommending a suitable alternative.[2730] However, the revised CONSORT 2010 statement recommends dropping the specific request for intention-to-treat analysis in the CONSORT checklist in favor of a clear description of exactly what was included in each analysis.[3] Finally, each item in the CONSORT Checklist carries an equal weight that can be weighed differently in different studies; hence, reporting the entire score may not reflect the overall quality of the reported RCTs.[22,25] To compensate for this, we modified the CONSORT Checklist from 37 to 28 items and investigated the reporting of certain important issues in detail (Tables 13).[21,31]

Our study has several implications. First, we identified areas for improvement in the quality of reporting of randomized control trials (RCTs) concerning PAs pharmacotherapy. Factors related to higher reporting quality have been noted and should be considered in the design of RCTs in the future. Second, Clinicians should be mindful of any potential insufficient reporting from RCTs when reading the data and consider it when treating their patients. Third, authors and journals should make joint efforts to adhere to the 2010 CONSORT statement during the study design, manuscript writing, publication, and peer-review assessment. Furthermore, CONSORT should be updated through continual assessment and refinement.

5. Conclusion

In conclusion, this study showed that the quality of reporting according to the CONSORT statement for most RCTs on pharmacotherapy for PAs was poor. However, we noticed an improvement in the OQS over the years and identified the factors associated with a better report. Increased effort is necessary to raise awareness of these issues among readers, reviewers, and editors.

Author contributions

Data curation: Hongmei Yan, Daiyan Wang, Yujing Zhao, Zhe Wang.

Writing—original draft: Hongmei Yan, Daiyan Wang.

Writing—review & editing: Hongmei Yan, Daiyan Wang.

Software: Yujing Zhao, Junjie Miao.

Conceptualization: Zhe Wang.

Funding acquisition: Zhe Wang.

Project administration: Zhe Wang.

Supplementary Material

medi-103-e37518-s001.doc (37.5KB, doc)

Abbreviations:

ANOVA
a parametric analysis of variance
CI
confidence interval
CONSORT
Consolidated Standards of Reporting Trials
EGFR
epidermal growth factor receptor
ITT
intention-to-treat
max
maximum
min
minimum
mTOR
mammalian target of rapamycin
OQS
overall quality score
PAs
pituitary adenomas
PP
per protocol
RCTs
randomized controlled trials
SD
standard deviation
TMZ
temozolomide
VEGF
vascular endothelial growth factor

HY and DW have contributed equally to this work.

This work was supported by grants from the Science and Technology Bureau of Weifang City (No. 2020YX061).

The present study was based on the evaluation of published studies. Therefore, patient consent and ethical approval were not required for the study.

The authors have no conflicts of interest to disclose.

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

Supplemental Digital Content is available for this article.

How to cite this article: Yan H, Wang D, Zhao Y, Miao J, Wang Z. The reporting quality of randomized controlled trials in pharmacotherapy for pituitary adenomas. Medicine 2024;103:11(e37518).

Contributor Information

Hongmei Yan, Email: golf0705@163.com.

Yujing Zhao, Email: 15898931706@163.com.

Junjie Miao, Email: miaojunjie19841014@163.com.

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