A trial platform to assess approved SARS-CoV-2 vaccines in immunocompromised patients: first sub-protocol for a pilot trial comparing the mRNA vaccines Comirnaty® and COVID-19 mRNA Vaccine Moderna®
Bibliographic record
Abstract
BACKGROUND: Late 2019, a new highly contagious coronavirus SARS-CoV-2 has emerged in Wuhan, China, causing within 2 months a pandemic with the highest disease burden in elderly and people with pre-existing medical conditions. The pandemic has highlighted that new and more flexible clinical trial approaches, such as trial platforms, are needed to assess the efficacy and safety of interventions in a timely manner. The two existing Swiss cohorts of immunocompromised patients (i.e., Swiss HIV Cohort Study (SHCS) and Swiss Transplant Cohort Study (STCS)) are an ideal foundation to set-up a trial platform in Switzerland leveraging routinely collected data. Within a newly founded trial platform, we plan to assess the efficacy of the first two mRNA SARS-CoV-2 vaccines that reached market authorization in Switzerland in the frame of a pilot randomized controlled trial (RCT) while at the same time assessing the functionality of the trial platform. METHODS: We will conduct a multicenter randomized controlled, open-label, 2-arm sub-study pilot trial of a platform trial nested into two Swiss cohorts. Patients included in the SHCS or the STCS will be eligible for randomization to either receiving the mRNA vaccine Comirnaty® (Pfizer/BioNTech) or the COVID-19 mRNA Vaccine Moderna®. The primary clinical outcome will be change in pan-lg antibody response (pan-Ig anti-S1-RBD; baseline vs. 3 months after first vaccination; binary outcome, considering ≥ 0.8 units/ml as a positive antibody response). The pilot study will also enable us to assess endpoints related to trial conduct feasibility (i.e., duration of RCT set-up; time of patient recruitment; patient consent rate; proportion of missing data). Assuming vaccine reactivity of 90% in both vaccine groups, we power our trial, using a non-inferiority margin such that a 95% two-sided confidence interval excludes a difference in favor of the reference group of more than 10%. A sample size of 380 (190 in each treatment arm) is required for a statistical power of 90% and a type I error of 0.025. The study is funded by the Swiss National Science Foundation (National Research Program NRP 78, "COVID-19"). DISCUSSION: This study will provide crucial information about the efficacy and safety of the mRNA SARS-CoV-2 vaccines in HIV patients and organ transplant recipients. Furthermore, this project has the potential to pave the way for further platform trials in Switzerland. TRIAL REGISTRATION: ClinicalTrials.gov NCT04805125 . Registered on March 18, 2021.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".