Characteristics, Progression, and Output of Randomized Platform Trials: A Systematic Review.

Importance: Platform trials have become increasingly common, and evidence is needed to determine how this trial design is actually applied in current research practice. Objective: To determine the characteristics, progression, and output of randomized platform trials. Evidence Review: In this systematic review of randomized platform trials, Medline, Embase, Scopus, trial registries, gray literature, and preprint servers were searched, and citation tracking was performed in July 2022. Investigators were contacted in February 2023 to confirm data accuracy and to provide updated information on the status of platform trial arms. Randomized platform trials were eligible if they explicitly planned to add or drop arms. Data were extracted in duplicate from protocols, publications, websites, and registry entries. For each platform trial, design features such as the use of a common control arm, use of nonconcurrent control data, statistical framework, adjustment for multiplicity, and use of additional adaptive design features were collected. Progression and output of each platform trial were determined by the recruitment status of individual arms, the number of arms added or dropped, and the availability of results for each intervention arm. Findings: The search identified 127 randomized platform trials with a total of 823 arms; most trials were conducted in the field of oncology (57 [44.9%]) and COVID-19 (45 [35.4%]). After a more than twofold increase in the initiation of new platform trials at the beginning of the COVID-19 pandemic, the number of platform trials has since declined. Platform trial features were often not reported (not reported: nonconcurrent control, 61 of 127 [48.0%]; multiplicity adjustment for arms, 98 of 127 [77.2%]; statistical framework, 37 of 127 [29.1%]). Adaptive design features were only used by half the studies (63 of 127 [49.6%]). Results were available for 65.2% of closed arms (230 of 353). Premature closure of platform trial arms due to recruitment problems was infrequent (5 of 353 [1.4%]). Conclusions and Relevance: This systematic review found that platform trials were initiated most frequently during the COVID-19 pandemic and declined thereafter. The reporting of platform features and the availability of results were insufficient. Premature arm closure for poor recruitment was rare.

Bridging the gap: identifying factors impacting mRNA severe acute respiratory syndrome coronavirus 2 vaccine booster response in people with HIV-1.

OBJECTIVES: This study aimed to investigate the association of demographic and clinical characteristics, including HIV-specific parameters with the antibody response to a third dose of a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) mRNA vaccine in people with HIV-1 (PWH). DESIGN: Post hoc analysis of data collected during the observational extension of the COrona VaccinE tRiAL pLatform trial (COVERALL-2) nested into the Swiss HIV Cohort Study (SHCS). METHODS: Serological measurements were conducted on a total of 439 PWH who had received a third dose of either mRNA-1273 (Moderna) or BNT162b2 (Pfizer-BioNTech) SARS-CoV-2 vaccine. Antibody reactivity was assessed using the multifactorial ABCORA immunoassay that defines SARS-CoV-2 seroconversion and predicts neutralization activity. The association between log transformed antibody reactivity and various baseline factors, including vaccine type, demographics, immune and viral status, smoking status, comorbidities, infection history, and co-medication with chemotherapy and immunosuppressive drugs, was investigated using a multivariable linear regression model. RESULTS: Antibody response to third SARS-CoV-2 vaccination was significantly lower among PWH with CD4 + cell count less than 350 cells/µl [ratio of means 0.79; 95% confidence interval (CI) 0.65-0.95]. Having a detectable HIV-1 viral load at least 50 copies/ml and being on concurrent chemotherapy was associated with an overall lower humoral immune response (ratio of means 0.75; 95% CI 0.57-1.00 and 0.34; 95% CI 0.22-0.52, respectively). CONCLUSION: The study highlights the importance of optimal antiretroviral treatment for PWH, emphasizing the need for timely intervention to enhance the vaccine immunogenicity in this population. Moreover, it underscores the significance of sequential mRNA vaccination and provides important evidence for informing vaccine guidelines.

Antibody Response After the Third SARS-CoV-2 Vaccine in Solid Organ Transplant Recipients and People Living With HIV (COVERALL-2).

Background: After basic immunization with 2 mRNA SARS-CoV-2 vaccine doses, only a small proportion of patients who are severely immunocompromised generate a sufficient antibody response. Hence, we assessed the additional benefit of a third SARS-CoV-2 vaccine in patients with different levels of immunosuppression. Methods: In this observational extension of the COVERALL trial (Corona Vaccine Trial Platform), we recruited patients from the Swiss HIV Cohort Study and the Swiss Transplant Cohort Study (ie, lung and kidney transplant recipients). We collected blood samples before and 8 weeks after the third SARS-CoV-2 vaccination with either mRNA-1273 (Moderna) or BNT162b2 (Pfizer-BioNTech). The primary outcome was the proportion of participants showing an antibody response (Elecsys Anti-SARS-CoV-2 S test; threshold ≥100 U/mL) 8 weeks after the third SARS-CoV-2 vaccination. We also compared the proportion of patients who reached the primary outcome from basic immunization (the first and second vaccines) to the third vaccination. Results: Nearly all participants (97.2% [95% CI, 95.9%-98.6%], 564/580) had an antibody response. This response was comparable between mRNA-1273 (96.1% [95% CI, 93.7%-98.6%], 245/255) and BNT162b2 (98.2% [95% CI, 96.7%-99.6%], 319/325). Stratification by cohort showed that 99.8% (502/503) of people living with HIV and 80.5% (62/77) of recipients of solid organ transplants achieved the primary endpoint. The proportion of patients with an antibody response in solid organ transplant recipients improved from the second vaccination (22.7%, 15/66) to the third (80.5%, 62/77). Conclusions: People living with HIV had a high antibody response. The third vaccine increased the proportion of solid organ transplant recipients with an antibody response. Clinical Trials Registration. NCT04805125 (ClinicalTrials.gov).

Reminding Peer Reviewers of Reporting Guideline Items to Improve Completeness in Published Articles: Primary Results of 2 Randomized Trials.

Importance: Numerous studies have shown that adherence to reporting guidelines is suboptimal. Objective: To evaluate whether asking peer reviewers to check if specific reporting guideline items were adequately reported would improve adherence to reporting guidelines in published articles. Design, Setting, and Participants: Two parallel-group, superiority randomized trials were performed using manuscripts submitted to 7 biomedical journals (5 from the BMJ Publishing Group and 2 from the Public Library of Science) as the unit of randomization, with peer reviewers allocated to the intervention or control group. Interventions: The first trial (CONSORT-PR) focused on manuscripts that presented randomized clinical trial (RCT) results and reported following the Consolidated Standards of Reporting Trials (CONSORT) guideline, and the second trial (SPIRIT-PR) focused on manuscripts that presented RCT protocols and reported following the Standard Protocol Items: Recommendations for Interventional Trials (SPIRIT) guideline. The CONSORT-PR trial included manuscripts that described RCT primary results (submitted July 2019 to July 2021). The SPIRIT-PR trial included manuscripts that contained RCT protocols (submitted June 2020 to May 2021). Manuscripts in both trials were randomized (1:1) to the intervention or control group; the control group received usual journal practice. In the intervention group of both trials, peer reviewers received an email from the journal that asked them to check whether the 10 most important and poorly reported CONSORT (for CONSORT-PR) or SPIRIT (for SPIRIT-PR) items were adequately reported in the manuscript. Peer reviewers and authors were not informed of the purpose of the study, and outcome assessors were blinded. Main Outcomes and Measures: The difference in the mean proportion of adequately reported 10 CONSORT or SPIRIT items between the intervention and control groups in published articles. Results: In the CONSORT-PR trial, 510 manuscripts were randomized. Of those, 243 were published (122 in the intervention group and 121 in the control group). A mean proportion of 69.3% (95% CI, 66.0%-72.7%) of the 10 CONSORT items were adequately reported in the intervention group and 66.6% (95% CI, 62.5%-70.7%) in the control group (mean difference, 2.7%; 95% CI, -2.6% to 8.0%). In the SPIRIT-PR trial, of the 244 randomized manuscripts, 178 were published (90 in the intervention group and 88 in the control group). A mean proportion of 46.1% (95% CI, 41.8%-50.4%) of the 10 SPIRIT items were adequately reported in the intervention group and 45.6% (95% CI, 41.7% to 49.4%) in the control group (mean difference, 0.5%; 95% CI, -5.2% to 6.3%). Conclusions and Relevance: These 2 randomized trials found that it was not useful to implement the tested intervention to increase reporting completeness in published articles. Other interventions should be assessed and considered in the future. Trial Registration: ClinicalTrials.gov Identifiers: NCT05820971 (CONSORT-PR) and NCT05820984 (SPIRIT-PR).

Antibody Response After Third Vaccination With mRNA-1273 or BNT162b2: Extension of a Randomized Controlled SARS-CoV-2 Noninferiority Vaccine Trial in Patients With Different Levels of Immunosuppression (COVERALL-2).

Extension of the COVERALL (COrona VaccinE tRiAL pLatform) randomized trial showed noninferiority in antibody response of the third dose of Moderna mRNA-1273 vaccine (95.3% [95% confidence interval {CI}, 91.9%-98.7%]) compared to Pfizer-BioNTech BNT162b2 vaccine (98.1% [95% CI, 95.9%-100.0%]) in individuals with different levels of immunosuppression (difference, -2.8% [95% CI, -6.8% to 1.3%]).

Effects of remdesivir in patients hospitalised with COVID-19: a systematic review and individual patient data meta-analysis of randomised controlled trials.

BACKGROUND: Interpretation of the evidence from randomised controlled trials (RCTs) of remdesivir in patients treated in hospital for COVID-19 is conflicting. We aimed to assess the benefits and harms of remdesivir compared with placebo or usual care in these patients, and whether treatment effects differed between prespecified patient subgroups. METHODS: For this systematic review and meta-analysis, we searched PubMed, Embase, the Cochrane COVID-19 trial registry, ClinicalTrials.gov, the International Clinical Trials Registry Platform, and preprint servers from Jan 1, 2020, until April 11, 2022, for RCTs of remdesivir in adult patients hospitalised with COVID-19, and contacted the authors of eligible trials to request individual patient data. The primary outcome was all-cause mortality at day 28 after randomisation. We used multivariable hierarchical regression-adjusting for respiratory support, age, and enrollment period-to investigate effect modifiers. This study was registered with PROSPERO, CRD42021257134. FINDINGS: Our search identified 857 records, yielding nine RCTs eligible for inclusion. Of these nine eligible RCTs, individual data were provided for eight, covering 10 480 patients hospitalised with COVID-19 (99% of such patients included in such RCTs worldwide) recruited between Feb 6, 2020, and April 1, 2021. Within 28 days of randomisation, 662 (12·5%) of 5317 patients assigned to remdesivir and 706 (14·1%) of 5005 patients assigned to no remdesivir died (adjusted odds ratio [aOR] 0·88, 95% CI 0·78-1·00, p=0·045). We found evidence for a credible subgroup effect according to respiratory support at baseline (pinteraction=0·019). Of patients who were ventilated-including those who received high-flow oxygen-253 (30·0%) of 844 patients assigned to remdesivir died compared with 241 (28·5%) of 846 patients assigned to no remdesivir (aOR 1·10 [0·88-1·38]; low-certainty evidence). Of patients who received no oxygen or low-flow oxygen, 409 (9·1%) of 4473 patients assigned to remdesivir died compared with 465 (11·2%) of 4159 patients assigned to no remdesivir (0·80 [0·70-0·93]; high-certainty evidence). No credible subgroup effect was found for time to start of remdesivir after symptom onset, age, presence of comorbidities, enrolment period, or corticosteroid use. Remdesivir did not increase the frequency of severe or serious adverse events. INTERPRETATION: This individual patient data meta-analysis showed that remdesivir reduced mortality in patients hospitalised with COVID-19 who required no or conventional oxygen support, but was underpowered to evaluate patients who were ventilated when receiving remdesivir. The effect size of remdesivir in patients with more respiratory support or acquired immunity and the cost-effectiveness of remdesivir remain to be further elucidated. FUNDING: EU-RESPONSE.

A meta-research study of randomized controlled trials found infrequent and delayed availability of protocols.

OBJECTIVES: Availability of randomized controlled trial (RCT) protocols is essential for the interpretation of trial results and research transparency. STUDY DESIGN AND SETTING: In this study, we determined the availability of RCT protocols approved in Switzerland, Canada, Germany, and the United Kingdom in 2012. For these RCTs, we searched PubMed, Google Scholar, Scopus, and trial registries for publicly available protocols and corresponding full-text publications of results. We determined the proportion of RCTs with (1) publicly available protocols, (2) publications citing the protocol, and (3) registries providing a link to the protocol. A multivariable logistic regression model explored factors associated with protocol availability. RESULTS: Three hundred twenty-six RCTs were included, of which 118 (36.2%) made their protocol publicly available; 56 (47.6% 56 of 118) provided as a peer-reviewed publication and 48 (40.7%, 48 of 118) provided as supplementary material. A total of 90.9% (100 of 110) of the protocols were cited in the main publication, and 55.9% (66 of 118) were linked in the clinical trial registry. Larger sample size (>500; odds ratio [OR] = 5.90, 95% confidence interval [CI], 2.75-13.31) and investigator sponsorship (OR = 1.99, 95% CI, 1.11-3.59) were associated with increased protocol availability. Most protocols were made available shortly before the publication of the main results. CONCLUSION: RCT protocols should be made available at an early stage of the trial.

Scoping review and characteristics of publicly available checklists for assessing clinical trial feasibility.

BACKGROUND: Whether there is sufficient capacity and capability for the successful conduct and delivery of a clinical trial should be assessed by several stakeholders according to transparent and evidence-based criteria during trial planning. For this openly shared, user-tested, and validated tools are necessary. Therefore, we systematically examined the public availability and content of checklists which assess the study-level feasibility in the planning phase of clinical trials. METHODS: In our scoping review we systematically searched Medline, EMBASE, and Google (last search, June 2021). We included all publicly available checklists or tools that assessed study level feasibility of clinical trials, examined their content, and checked whether they were user-tested or validated in any form. Data was analysed and synthesised using conventional content analysis. RESULTS: A total of 10 publicly available checklists from five countries were identified. The checklists included 48 distinct items that were classified according to the following seven different domains of clinical trial feasibility: regulation, review and oversight; participant recruitment; space, material and equipment; financial resources; trial team resources; trial management; and pilot or feasibility studies. None of the available checklists appeared to be user-tested or validated. CONCLUSIONS: Although a number of publicly available checklists to assess the feasibility of clinical trials exist, their reliability and usefulness remain unclear. Openly shared, user-tested, and validated feasibility assessment tools for a better planning of clinical trials are lacking.

The concept of General Consent in Switzerland and the implementation at the University Hospital Zurich, a cross-sectional study.

BACKGROUND: General Consent (GC) allows the further use of health-related data/samples for multiple, unspecified research projects and/or for the collection in databases and biobanks in Switzerland. The application of General Consent in the context of human research is regulated within the scope of the Human Research Act. At the University Hospital Zurich patients are informed about General Consent to which they can agree (GC = yes) or disagree (GC = no) to the use of their routinely collected data/samples in research. In this paper, we investigated the association of demographic and medical factors on a patient's General Consent choice. METHODS: In this cross-sectional study, we investigated the association of age, gender, number of visits and number of diagnoses on General Consent choice. The study population was stratified by General Consent status group (GC choice: Yes, No, Not issued) and examined by means of descriptive statistics, comparative statistics and a multinomial and logistic regression model. A p-value of 0.001 was determined as significant. RESULTS: The female gender was found to associate with decreased odds in positive General Consent choice (<0.001) whereas age (<0.001) and number of diagnoses (<0.001) were associated with increased odds in positive General Consent choice (reference "GC = no" group). The number of visits (<0.001) as well as the number of diagnoses associated (<0.001) with increased General Consent collection (increase in positive as well as negative General Consent status). CONCLUSION: General Consent is an innovative concept that simultaneously informs patients about human research in accordance with Swiss regulations and promotes research with routinely collected data and biological samples in an era with large information repositories. Our results show that medical and demographic factors may influence a patient's choice. Therefore, approaching these populations and taking additional care to adequately inform and ensure ethical conformity and behaviour is essential. Flexible communication channels may help us reach this goal.

Nonregistration, discontinuation, and nonpublication of randomized trials: A repeated metaresearch analysis.

BACKGROUND: We previously found that 25% of 1,017 randomized clinical trials (RCTs) approved between 2000 and 2003 were discontinued prematurely, and 44% remained unpublished at a median of 12 years follow-up. We aimed to assess a decade later (1) whether rates of completion and publication have increased; (2) the extent to which nonpublished RCTs can be identified in trial registries; and (3) the association between reporting quality of protocols and premature discontinuation or nonpublication of RCTs. METHODS AND FINDINGS: We included 326 RCT protocols approved in 2012 by research ethics committees in Switzerland, the United Kingdom, Germany, and Canada in this metaresearch study. Pilot, feasibility, and phase 1 studies were excluded. We extracted trial characteristics from each study protocol and systematically searched for corresponding trial registration (if not reported in the protocol) and full text publications until February 2022. For trial registrations, we searched the (i) World Health Organization: International Clinical Trial Registry Platform (ICTRP); (ii) US National Library of Medicine (ClinicalTrials.gov); (iii) European Union Drug Regulating Authorities Clinical Trials Database (EUCTR); (iv) ISRCTN registry; and (v) Google. For full text publications, we searched PubMed, Google Scholar, and Scopus. We recorded whether RCTs were registered, discontinued (including reason for discontinuation), and published. The reporting quality of RCT protocols was assessed with the 33-item SPIRIT checklist. We used multivariable logistic regression to examine the association between the independent variables protocol reporting quality, planned sample size, type of control (placebo versus other), reporting of any recruitment projection, single-center versus multicenter trials, and industry versus investigator sponsoring, with the 2 dependent variables: (1) publication of RCT results; and (2) trial discontinuation due to poor recruitment. Of the 326 included trials, 19 (6%) were unregistered. Ninety-eight trials (30%) were discontinued prematurely, most often due to poor recruitment (37%; 36/98). One in 5 trials (21%; 70/326) remained unpublished at 10 years follow-up, and 21% of unpublished trials (15/70) were unregistered. Twenty-three of 147 investigator-sponsored trials (16%) reported their results in a trial registry in contrast to 150 of 179 industry-sponsored trials (84%). The median proportion of reported SPIRIT items in included RCT protocols was 69% (interquartile range 61% to 77%). We found no variables associated with trial discontinuation; however, lower reporting quality of trial protocols was associated with nonpublication (odds ratio, 0.71 for each 10% increment in the proportion of SPIRIT items met; 95% confidence interval, 0.55 to 0.92; p = 0.009). Study limitations include that the moderate sample size may have limited the ability of our regression models to identify significant associations. CONCLUSIONS: We have observed that rates of premature trial discontinuation have not changed in the past decade. Nonpublication of RCTs has declined but remains common; 21% of unpublished trials could not be identified in registries. Only 16% of investigator-sponsored trials reported results in a trial registry. Higher reporting quality of RCT protocols was associated with publication of results. Further efforts from all stakeholders are needed to improve efficiency and transparency of clinical research.

Practices and Attitudes of Swiss Stakeholders Regarding Investigator-Initiated Clinical Trial Funding Acquisition and Cost Management.

Importance: Randomized clinical trials (RCTs) are an essential method of evaluating health care interventions and a cornerstone for evidence-based health care. However, RCTs have become increasingly complex and costly, which is particularly challenging for independent investigator-initiated clinical trials (IICTs). IICTs have an essential role in clinical research, and it is important that efforts are made to ensure IICTs are adequately funded and are conducted cost-effectively. Objective: To examine the practices and attitudes of Swiss stakeholders regarding IICT funding acquisition and cost management. Design, Setting, and Participants: For this qualitative study, interviews were conducted in Switzerland between February and August 2020. The purposive sample comprised 48 stakeholders from 4 different groups: primary investigators (n = 27), funders and sponsors (n = 9), clinical trial support organizations (n = 6), and ethics committee members (n = 6). Main Outcomes and Measures: Practices and attitudes of stakeholders regarding IICT funding acquisition and cost management were assessed using individual semistructured qualitative interviews. Interviews were analyzed using conventional content analysis. Results: After interviews with 48 IICT stakeholders (75% male presenting), these participants identified a systemic problem of IICTs being underfunded, which can lead to compromises being made regarding the quality and conduct of IICTs. Participants identified 2 overarching and interconnected groups of reasons why IICTs in Switzerland are regularly underfunded. First, it was reported that IICT budget estimations are often inaccurate because of poor planning and preparation, unforeseeable events, investigators intentionally underestimating budgets, and limited budget assessment and oversight. Second, with the exception of a specific IICT funding program by the Swiss National Science Foundation, it was reported that limited funding sources and unrealistic expectation of funders led to underlying challenges in getting IICTs fully funded. A number of measures that could help reduce the underfunding of IICTs were identified, including improving the support of investigators and IICTs, strengthening networking and guidance, harmonizing and simplifying bureaucracy, and increasing public funding of IICTs. Conclusions and Relevance: This study highlights the inadequate expertise of Swiss stakeholders to correctly, systematically, and reproducibly calculate RCT budgets and the need for transparency on trial costs as well as training in budgeting practices. Limited financial resources for academic clinical research and issues regarding the professional planning and conduct of IICTs are persistent issues that many other countries also face.

A FHIR-Based eConsent App for the Digital Hospital.

Research projects with humans is a highly regulated field that is currently undergoing rapid changes due to developments in eHealth and mHealth. While a patients data and samples must be thoroughly protected, they are also an invaluable source for fundamental and cutting edge research. There are processes in place to obtain a patient's consent for the use of their data and samples for research. These approaches could be more flexible, user-friendly and modernised. There is a high demand among all parties for a unified, yet differentiated, dynamic and personalised eConsent. An Android app has been developed that brings any existing consent form to mobile devices, including the integration of the process into existing hospital IT using established data standards, such as FHIR and the ResearchStack open source framework.The app is user-tested and shown to work in a hospital setting. Lack of eIdentification and legal drawbacks were determined as the main obstacles for immediate implementation.

The maximum alcohol withdrawal syndrome score associates with worse clinical outcomes-A retrospective cohort study.

BACKGROUND: The Wetterling alcohol withdrawal syndrome (AWS) scale determines withdrawal severity and guides treatment. We investigated associations between maximum AWS scores and clinical outcomes. METHODS: This retrospective cohort study considered AWS assessments measured from 8/2015-8/2017. We used multivariable linear and logistic regression to analyze associations between the maximum score and increased length of stay (LOS) and in-hospital mortality, respectively. Firstly, we investigated the maximum score of all AWS assessments any time during the stay, secondly, the maximum measured only within the first 3 days of withdrawal. RESULTS: A total of 2,464 hospital stays showed that, patients with "mild" (<6), "moderate" (6-9), and "severe" (>9) maximum scores had median LOS of 5.93, 9.35, 14.71 days, mortality was 1.7%, 4.8%, 8.0%, respectively. Regression showed that a higher maximum score was independently associated with increased LOS and mortality (both p < 0.001). Based on the maximum AWS score within the first 3 days, the median LOS was 6.18, 9.00, 12.89 days, mortality was 2.2%, 3.6%, 7.6%, respectively. A higher maximum score in the first 3 days was independently associated with increased LOS (p = 0.036) and mortality (p = 0.001). Severe maximum AWS scores within 3 days of withdrawal had an odds ratio of 2.53 (95% CI: 1.27, 4.82; p = 0.0060) for in-hospital death. CONCLUSIONS: Maximum AWS scores associate independently with increased LOS and in-hospital mortality. This association is reproducible within the first 3 days of withdrawal. Development of such a 3-day tool could help clinicians assess the risk of worse clinical outcomes early on and adjust care accordingly.