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ORIGINAL RESEARCH article

Front. Immunol., 07 July 2022
Sec. Cancer Immunity and Immunotherapy

Adverse Event Reporting Quality in Cancer Clinical Trials Evaluating Immune Checkpoint Inhibitor Therapy: A Systematic Review

Yuhong Wang,,�Yuhong Wang1,2,3†Chen Chen,,�Chen Chen1,2,4†Wei Du,,�Wei Du1,2,5†Yixin Zhou,,Yixin Zhou1,2,6Lina He,,Lina He1,2,5Shaodong Hong,,*Shaodong Hong1,2,5*Li Zhang,,*Li Zhang1,2,5*
  • 1State Key Laboratory of Oncology in South China, Guangzhou, China
  • 2Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
  • 3Department of Endoscopy, Sun Yat-Sen University Cancer Center, Guangzhou, China
  • 4Department of Radiation Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China
  • 5Department of Medical Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China
  • 6Department of VIP Region, Sun Yat-Sen University Cancer Center, Guangzhou, China

Background: Immunotherapy has become one of the most important breakthroughs in cancer treatment. Consequently, there have been more immuno-oncology (IO) clinical trials for various cancers in recent decades. However, the quality of such trials in reporting adverse events (AE), especially immune-related AE (irAE), has not been comprehensively evaluated.

Methods: We evaluated the harm reporting quality of IO trials. The PubMed, Embase, Cochrane Library, and Web of Science databases were searched to identify all head-to-head phase II and III clinical trials assessing cancer immunotherapy published between January 1, 2010, and December 31, 2021. Publications were assessed using a 16-point harm reporting quality score (HRQS) derived from the 2004 Consolidated Standards of Reporting Trials (CONSORT) extension. The characteristics associated with improved reporting quality were identified with linear regression.

Results: A total of 123 publications were included. The mean HRQS was 11.1 (range, 5-14). The most common poorly reported items were harms addressed in the title (2%), AE collection methodology (3%), the statistical approach for analyzing harms (11%), and the irAE onset patterns and management (adequately reported in 14% and 33% of publications, respectively). The harm information was well described in the publications’ Results and Discussion sections (89-99%). The multivariable regression model revealed that higher impact factor (IF) (30<IF<60 vs. IF<30, P=0.021) and phase III clinical trial (phase III vs. phase II, P=0.023) were independent predictors of higher quality score.

Conclusion: Our findings show that AE reporting in IO randomized trials is suboptimal. Efforts should be made to improve harm reporting and to standardize reporting practices. Improvements in AE reporting would permit more balanced assessment of interventions and would enhance evidence-based IO practice.

Introduction

In recent decades, notable progress in immunotherapy has revolutionized cancer therapy. Immunotherapy has been approved for treating various cancers, especially but not only for patients with advanced, recurrent, and metastatic malignancy (1, 2). The immune checkpoint inhibitors (ICI) for immunotherapies include those against programmed cell death protein 1 (PD-1: nivolumab, pembrolizumab, camrelizumab, sintilimab, tislelizumab, cemiplimab, spartalizumab), programmed death-ligand 1 (PD-L1: atezolizumab, avelumab, durvalumab), and cytotoxic T lymphocyte antigen 4 (CTLA-4: ipilimumab, tremelimumab) (3, 4).

Randomized clinical trials (RCTs) are considered the gold standard for assessing medical interventions, especially in antitumor drugs. Publications in peer-reviewed journals are major sources from which clinicians seek to understand clinical trial designs and results. Oncologists use these findings to formulate antitumor treatment regimens, predict the risks and benefits of various treatment options, and improve efficacy. The primary results of RCTs are typically response to the interventions or survival, and harms to the participants. In publications of clinical trials, harm reporting is as important as efficacy reporting. Both are essential for estimating the balance of the benefits and harms of medical measures. Scrutiny of the data shows that the effectiveness is often well explored and documented, whereas the harm is less so (5). Clinicians mainly pay close attention to the benefits rather than adverse outcomes. This is unfortunate, as the safety and harm of a medication are almost as important as its efficacy, especially when a therapeutic decision has to be made for patients with malignant tumors. Moreover, the accuracy and comprehensiveness of immunotherapy-specific immune-related adverse events (irAE) reports are more crucial for determining immunotherapy options in patients. Therefore, a unified standard is needed to ensure the quality of the harm reports in RCTs.

The Consolidated Standards of Reporting Trials (CONSORT) statement is a widely endorsed document that provides a checklist of items that should be included in RCT reports (6). In 2004, the CONSORT group extended this guidance, providing a panel of 10 specific recommendations on harm reporting, with accompanying explanations and examples of appropriate reporting (7). We performed the present study to evaluate the quality of adverse events (AE) reporting in immuno-oncology (IO) clinical trial publications adhering to the CONSORT extension. We also investigated the article characteristics associated with higher quality in IO trial reporting.

Materials and Methods

Trial Selection

Citations from the PubMed, Embase, Cochrane Library, and Web of Science databases between January 1, 2010, and December 31, 2021, were reviewed to identify eligible publications for the analysis. The keywords used were: cancer (cancers, carcinoma, neoplasia, neoplasias, neoplasm, tumor, tumors, malignancy, malignancies, leukemia, lymphoma, melanoma, glioma); immune checkpoint inhibitor (immune checkpoint blocking agent, immune therapy, immunotherapy, immunotherapies, immuno-oncology treatment, anti-programmed cell death protein, anti-programmed cell death protein 1, PD-1, PD1, anti-programmed death-ligand 1, PD-L1, PDL1, anti-cytotoxic T-lymphocyte antigen 4, CTLA-4, CTLA4, ipilimumab, tremelimumab, nivolumab, pembrolizumab, camrelizumab, sintilimab, tislelizumab, cemiplimab, spartalizumab, atezolizumab, avelumab, durvalumab); compare (comparison, comparative, comparing). The filters were: article type = clinical trial; language = English; and species = humans.

Only head-to-head phase II and III RCTs involving patients with cancer and comparing ≥2 treatments that included ICI drugs or comparing an ICI drug with conventional therapy were eligible. Phase I studies, observational studies, case reports, review, editorials, letters, registration information, clinical trial protocols, conference abstracts, posters, cost-effectiveness studies, and trials that compared different doses or usages of one ICI drug were excluded, as were secondary analyses or subset analyses of previously published trials. Where multiple publications were identified from the same trial, the initial publication was used for the analysis.

Data Extraction

Two of the authors (Yuhong Wang and Shaodong Hong) defined a harm reporting quality score (HRQS) based on the 2004 CONSORT extension. The authors reviewed the CONSORT extension guidelines on harms and extracted the specific reporting elements. Sixteen key reporting elements derived from the 10 recommendations were identified (Table 1). Each element enrolled in the HRQS was scored 1 if it was adequately reported in the main text or appendix, or 0 if it was not clearly reported or not reported at all. Each element was weighted with equal importance. For recommendations with several subcomponents, a score of 1 was awarded if any one of them was reported. The ninth recommendation, i.e., “describe any subgroup analyses and exploratory analyses for harms,” was excluded, as this element would only apply to the subset of trials that included such subgroups.

TABLE 1
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Table 1 Elements of Harm Reporting.

Trial characteristics that could affect the quality score were extracted from each manuscript, and included publication year, journal type and impact factor, trial phase, funding source, region in which the trial was conducted, the principal investigator’s continent of origin, number of participating centers, sample size, tumor type, mechanism of ICI, treatment strategy, and whether the primary study end point was met. The publication year was directly extracted as a continuous variable. Journal types were classified as oncologic and comprehensive journals according to the types of published articles. Trials were considered industry-funded if they received any form of industry funding. Trials were considered intercontinental when patients from >1 continent were recruited. The principal investigators were from North America, Europe, Asia, or Oceania. Regarding the mechanism, ICI agent in immunotherapy was anti-PD-1, anti-PD-L1, anti-CTLA-4, or any mix thereof (multi-agent). Regarding the treatment strategy, immunotherapy could be used alone (monotherapy or combination of two types of ICI) or combined with other intervention types. The Results section of each publication was examined to determine whether the primary end point was met.

Statistical Analysis

The HRQS was calculated as the sum of the number of reporting elements (0-16) that were identified from each publication. The HRQS was described using the mean and range. The following variables were considered candidate factors affecting the HRQ in univariate and multivariate linear regression analyses: publication year, journal type, journal impact factor, phase of the trial, trial funding sources, region in which the trial was performed, the principal investigator’s continent of origin, participating centers, sample size, tumor type, ICI agent, immunotherapy strategy, and results of the primary outcome. Considering that potential confounding factors might conceal the implications between trial characteristics and some HRQS-associated variables in univariate analyses, we applied a higher threshold of statistical significance (P = 0.2) for entering variables in the multivariable model. As a result, variables with a P-value ≤ 0.2 in univariate analyses were selected to enter simultaneously into the forced entry multivariable linear regression model. A multivariable regression model was constructed with the outcome in question as the dependent variable and with potential predictors as the independent variables. All analyses were performed using R software (http://www.R-project.org/). All tests were 2-sided, with P < 0.05 considered statistically significant.

Results

Characteristics of the Trials

From the 2608 trials initially screened, a total of 123 publications were included in this analysis. The selection process and reasons for exclusion are shown in Figure 1. Table 2 lists the characteristics of the publications included in the analysis.

FIGURE 1
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Figure 1 Flowchart of screening of publications on immuno-oncology clinical trial included in the systematic review.

TABLE 2
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Table 2 Characteristics of trials included in analysis.

The number of published RCTs increased slowly from 2010 to 2017 per year, then increased dramatically after 2018, especially in 2021. Nearly half of the trials (56/123, 46%) were published in journals with impact factor > 60, including The New England Journal of Medicine (36/123, 29%), The Lancet (20/123, 16%), and JAMA (2/123, 2%). Most of the RCTs were intercontinental (104/123, 85%) and 52% of the principal investigators were from North America (64/123). The majority of the trials (121/123, 98%) were industry-funded. The most common tumor type examined was lung cancer (43/123, 35%), followed by melanoma (22/123, 18%) and renal cell carcinoma (9/123, 7%). The main treatment strategy was immunotherapy alone (monotherapy or combination of two types of ICI; 77/123, 63%). Anti-PD-1 was the most frequently used ICI agent (60/123, 49%).

Quality Score According to CONSORT Statement

On a 16-point scale, the mean HRQS for all elements was 11.1 (range, 5-14; Figure 2). Most of the publications were scored 10-13 (105/123, 85%), while five publications (7%) had scores ≤ 8. No publication had a score of 16.

FIGURE 2
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Figure 2 Distribution of harm reporting quality scores.

Certain reporting elements were more consistently addressed in the publications. The majority of publications stated the harms in the abstract (item 2, 99%), specified the instrument/scale used for classifying AE (item 4, 98%), reported absolute numbers of AE (item 12, 99%), presented the harm results separately for each study group (item 14, 99%), and presented severe events separately for each type of event (item 15, 98%). However, only two publications addressed harms in the title (item 1, 2%). Nearly half of the publications stated harms information in the introduction section (item 3, 46%). Items pertaining to the methods of AE information collection and analysis were poorly reported. Specifically, only 3% of publications reported adequately on how information on harms was collected (item 6), while only 11% adequately described the methods for analyzing harms (item 9). Up to 47% of the publications stated when harms information was collected (item 7) and 60% of publications clearly defined the AE (item 5). Table 3 details these findings.

TABLE 3
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Table 3 Quality of harms reporting using each 16 adverse event reporting elements.

Presentation of Immune-Related Adverse Events

The definition of irAE, which were unique to IO therapy, was clearly described in 60% of the publications either in the main text or appendix. The irAE results were reported separately in 89% of the publications, and 78% of the articles reported them in the main text. However, irAE time of onset and duration, and the clinical interventions used for managing irAE were poorly reported, being mentioned only in 10% and 24% of the main texts, respectively. The two elements were reported in 14% and 33% of the main text or appendices, respectively. Table 4 details these findings.

TABLE 4
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Table 4 Presentation of immune-related adverse events.

Characteristics Associated With Reporting Quality

Table 5 lists the univariable and multivariable linear regression results. In univariate analyses, the following trial characteristics were associated with higher HRQS: journal impact factor (P=0.003), phase of trial (P<0.001), principal investigator’s continent of origin (P=0.032), number of participating centers (P=0.003), and trial met primary outcome (P=0.011).

TABLE 5
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Table 5 Trial Characteristics associated with harm reporting quality score (0-16 scale).

The multivariable regression model subsequently revealed that higher IF (30<IF<60 vs. IF<30, P=0.021), phase III clinical trial (phase III vs. phase II, P=0.023) were independent predictors of higher HRQS. Specifically, publications with 30<IF<60 had a HRQS on average 1.192 points higher than those with IF<30. The HRQS of phase III clinical trials was higher than those phase II by a mean of 1.030 points.

Discussion

Transparent and comprehensive reporting of harm data in oncology RCT publications is of critical importance, particularly in IO clinical trials as a new therapy intervention. Therefore, standardized AE reporting is essential and important. In the present study, we systematically evaluated the HRQS in IO clinical trials according to the 2004 CONSORT extension statement on AE reporting.

There have been similar evaluations of HRQS in other medical specialties (814). Most of these studies did not propose any quality score (1214). In oncology publications, Sivendran et al. defined a 14-point score based on the CONSORT statement. They evaluated 175 phase III RCTs on metastatic solid malignancies and reported that the median completeness score was 8 (15). Another study reviewed 325 oncology trials and obtained a mean score of 10.1 using a 16-item quality score based on the CONSORT statement (16). In the present study, we obtained a similar mean HRQS of 11.1 based on the specific 16-element scoring system derived from the CONSORT guideline. Most of the publications had scores of 10-13 (85%). Although each quality score item was not identical between studies, the harm reporting in IO trials was generally unsatisfactory.

In the present study, we found that in most publications, harm information was poorly reported in the Methods section (items 4-9), especially AE collection and analysis, which were mentioned in only 3% and 11% of articles, respectively. The definition and collection time of AE were insufficiently detailed in 40% and 53% of articles, respectively. Prior analysis has also shown similar deficiencies in reporting items pertaining to the methods of AE collection and analysis (16). These findings may result from the perception that AE collection and analysis methodology is conventional and homogeneous. In addition, the titles seldom contained the terms “harm” or “adverse event”. Only two reports contained the analogous word “safety” in their titles. This may be due to the word limit for titles in journals, and the primary end points of the assessing publications were mainly efficacy rather than safety. However, “safety” is a reassuring term that may obscure the real and potentially major harms that any interventions may cause. The members of the CONSORT Group encourage authors to use the term “harms” instead of “safety” (7).

Although the AE reporting in the Methods section of the publications was insufficient, we found that harm information was adequately described in the Results and Discussion sections. Here, 89-99% of the publications provided the absolute numbers of harms, presented harms separately for each study group and each type of event, and stated the reasons for discontinuations and death caused by harms. In the Discussion section, 92% of the articles appraised data on the benefits and harms, and contrasted the trial results on harms with other sources of information on harms.

Compared with the toxicities caused by conventional therapy (chemotherapy, targeted therapy, and their combinations), the irAE from ICI drugs are unique in terms of the organs involved, onset patterns, severity, and management (17). Therefore, detailed reports of irAE are very important for clinicians to understand the manifestations and management of harms in IO clinical trials. In the present study, 89% of the publications presented the irAE outcomes separately for each study group, with separate information on the severity grade of the event, if relevant. Seventy-four publications (60%) defined irAE relatively well; the irAE were described in the main text of 49 articles. The remaining publications mostly used categories such as “immune-related adverse events,” “immune-mediated adverse events,” “treatment-related select adverse events,” or “adverse events of special interest” without defining them. Moreover, we noted that the irAE time of onset and duration, and management were poorly reported (reported in 10% and 24% of articles, respectively) in the main text. Even including the appendix, the reporting adequacy was raised to only 14% and 33%, respectively. These findings indicate that researchers usually focus on the manifestations of irAE rather than the onset patterns and management. Given that the toxicity of immunotherapy can be of latent occurrence and long-lasting (18, 19), reporting irAE onset patterns and management is arguably as clinically important for evaluating the risk–benefit and helpful for optimizing the design of future trials.

In the present study, we investigated the factors associated with higher HRQS. The publications in journals of 30<IF<60 had a higher quality score than journals of IF<30. This finding is similar to the results of previous study (20) and may be explained by stricter peer review or higher scrutiny before submission to higher IF journals. We also found that the HRQS was higher for phase III clinical trials compared with phase II trials. The possible reason is that considering more participants in phase III clinical trials and the higher requirements concerning the monitoring of participants, the researchers reported AE in more detail.

The present study has several limitations. First, the assessment was restricted to randomized phase II and III IO clinical trials and did not take into account the harm reporting in cohort or observational studies, in which it is more appropriate to report mid-term and long-term safety. Second, as we restricted our analysis to phase II and III trials involving solid and hematologic malignancy, it resulted in a small number of publications being enrolled and impacted the credibility of the statistical results to a certain extent. Further, whether each of the recommendations outlined in the CONSORT extension is of equal importance, or even practical, may be controversial. Here, we gave equal weight to each element and subcomponent, which may have weakened some important elements or overemphasized some less important elements.

In conclusion, our findings suggest that, according to the 2004 CONSORT extension statement, the AE reporting quality in IO trials is suboptimal. The methodological aspects of AE collection and analysis, and the irAE onset patterns and management, are often poorly reported. Efforts should be made to better describe AE and to standardize reporting practices. High-quality trials focusing on AE are required to aid clinicians in improving early management and recognition of irAE.

Data Availability Statement

The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding authors.

Author Contributions

All authors contributed to the study conception and design. Data acquisition, data interpretation and statistical analysis were performed by YW, CC, and WD. The first draft of the manuscript was written by YW, and all authors commented on previous versions of the manuscript. SH and LZ contributed to the study design and statistical analysis. All authors read and approved the final manuscript.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Acknowledgments

The authors wish to thank Minchao He (Department of Neurology, Guangzhou First People’s Hospital) for his invaluable contributions in data acquisition and statistical analysis.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fimmu.2022.874829/full#supplementary-material

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Keywords: adverse event, reporting quality, immune therapy, immune checkpoint inhibitor, clinical trials

Citation: Wang Y, Chen C, Du W, Zhou Y, He L, Hong S and Zhang L (2022) Adverse Event Reporting Quality in Cancer Clinical Trials Evaluating Immune Checkpoint Inhibitor Therapy: A Systematic Review. Front. Immunol. 13:874829. doi: 10.3389/fimmu.2022.874829

Received: 13 February 2022; Accepted: 13 June 2022;
Published: 07 July 2022.

Edited by:

Andrey Zamyatnin, I.M. Sechenov First Moscow State Medical University, Russia

Reviewed by:

Yun Tan, Shanghai Institute of Hematology, China
Xiaomin Niu, Shanghai Jiao Tong University, China

Copyright © 2022 Wang, Chen, Du, Zhou, He, Hong and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Shaodong Hong, hongshd@sysucc.org.cn; Li Zhang, zhangli6@mail.sysu.edu.cn

These authors have contributed equally to this work

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.