BCMA-directed mRNA CAR T cell therapy for myasthenia gravis: a randomized, double-blind, placebo-controlled phase 2b trial.
Vu T, Durmus H, Rivner M, Shroff S, Ragole T, Myers B, Pasnoor M, Small G, Karam C, Vullaganti M, Peltier A, Sahagian G, Feinberg MH, Slanksy A, Barnett-Tapia C, Siddiqi Z, Gwathmey K, Badruddoja MA, Kamboh H, Ruggerie RN, Fedak RR, Stewart CA, Kurtoglu M, Kalayoglu M, Singer M, Jewell CM, Miljkovic MD, Dimachkie M, Mozaffar T, Howard JF Jr, MG-001 Study Team
Paper source
BCMA-directed mRNA CAR T cell therapy for myasthenia gravis: a randomized, double-blind, placebo-controlled phase 2b trial.
This rigor review was examined and confirmed by Adcurare Editorial · July 7, 2026
How this rating was calculated▸
- ReportingStudy design partially met−0.25★
- ReportingStatistical analysis partially met−0.25★
- ReportingData & code availability partially met−0.25★
- Statistical reporting gaps (tests, assumptions, effect sizes)
- Data/code availability incomplete
- Study-design details incomplete (controls, blinding, power)
This Adcurare Rigor Review uses AI Rigor Reviewers trained on a curated corpus of high-fidelity and retracted papers, with expert supervision and curation. It can still make mistakes; verify each finding against the source before relying on it.
This is a well-designed phase 2b RCT of an mRNA CAR T cell therapy for myasthenia gravis, with strong scientific premise, ethical approvals, and transparent reporting. The main methodological weaknesses are the primary endpoint change, insufficient detail on key resources (reagent formulation, software versions), lack of statistical assumption verification, and incomplete data/code sharing.
Two of three independent reviewers agreed on most dimensions; the third (Reviewer 1) was more lenient on study design, key resources, statistical analysis, and data code availability. The synthesized judgments reflect the preponderance of evidence. Statistics verification recomputed 4 tests with full statistics; all were consistent. No retracted or not-found references were identified.
12 major claims checked against the paper's own evidence: all adequately supported.
Recomputed 4 tests: 4 consistent, 0 inconsistent, 4 via agent-written checks.
5 copyedit issues flagged: mostly consistency, other.
Checked 67 references: 66 verified — 1 not checked.
3 data/code links checked; 3 live.
Registered (3 IDs: ClinicalTrials.gov). Reporting guideline cited: CONSORT.
Ready after minor-to-moderate edits. The primary endpoint change must be thoroughly justified, key resource descriptions should be expanded, statistical assumptions should be verified, and data/code sharing details need to be improved. The copyedit issues are minor but should be fixed.
- 1.HIGHreportingIn the Results section, add a clear rationale for the primary endpoint change (MG-ADL to MGC), including a reference to the published task force recommendation and a justification that the change was made before unblinding.
- 2.HIGHdata codeAdd a code-sharing statement to the Data availability section, depositing SAS/Mathematica code used for the primary analysis in a public repository (e.g., GitHub) with a DOI.
- 3.HIGHdata codeDeposit the anonymized trial-level data (analysis datasets) in a recognized repository (e.g., ClinicalTrials.gov results database, Vivli, or an institutional repository) instead of relying solely on email-based managed access.
- 4.HIGHstatisticsIn the Methods (Statistical analysis), add a statement verifying that the test assumptions for the primary analysis (independence, expected frequencies >5 for chi-square) were checked and met.
- 5.HIGHrigorIn Table 1 or the Methods, provide the exact formulation of Descartes-08 (e.g., excipients, storage buffer) and the composition of the placebo.
- 6.MEDIUMreportingAdd explicit version numbers and RRIDs for SAS and Mathematica in the Methods (Statistical analysis), replacing the vague 'version 9.2 or higher' range.
- 7.MEDIUMstatisticsFor each secondary outcome reported as a mean change, provide the 95% confidence interval or a p-value (if formally tested), or state that these are descriptive only.
- 8.MEDIUMreportingIn the Discussion, add a sentence explicitly discussing the potential impact of the primary endpoint change on the interpretation of results.
- 9.MEDIUMreportingIn the Methods (Statistical analysis), report exact p-values for all results shown as significant, not just the primary endpoint and one subgroup.
- 10.MEDIUMrigorIn Figure 2, add individual data points (dot plots) alongside the mean/CI bars for the primary outcome to enhance transparency about distributions.
- 11.LOWcopyeditIn Results, paragraph 1, add a comma after 'database lock' for clarity in the sentence describing the primary endpoint change.
- 12.LOWcopyeditIn Extended Data Table 5 caption, remove the double comma: change 'limited , , including' to 'limited, including'.
- 13.LOWcopyeditIn the Methods (Statistical analysis), expand the SAS procedure names (PROC MI, PROC MIANALYZE) at first use.
- 14.LOWreportingExplicitly state adherence to the CONSORT 2010 checklist for RCTs in the Methods or Reporting summary.
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