Anti-CD38 monoclonal antibody CM313 for primary immune thrombocytopenia: multicentre, randomised, placebo controlled, phase 2 trial.
Chen Y, Xu Y, Dai J, Sun T, Li H, Hua Z, Zhou Z, Zhou H, Yan Z, Zhao X, Xue F, Liu W, Liu X, Fu R, Wang W, Chi Y, Dong H, Ju M, Dai X, Gu W, Pei X, Yang R, Zhang L
Paper source
Anti-CD38 monoclonal antibody CM313 for primary immune thrombocytopenia: multicentre, randomised, placebo controlled, phase 2 trial.
This rigor review was examined and confirmed by Adcurare Editorial · July 7, 2026
How this rating was calculated▸
- LinksDead data/code link−0.25★
- Dead data/code links
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 and clearly reported phase 2 trial. The main methodological strength is the rigorous study design (randomised, blinded, with a pre-specified power analysis). The primary weakness is the code sharing being limited to supplemental files without a public repository, which the authors should fix before submission for full reproducibility. A few minor reporting gaps (missing CONSORT statement reference, p-value reported as threshold) are worth addressing but are not likely to cause rejection.
All three independent reviewers (AI models) scored the full-text manuscript. The study is a human clinical trial, so several sub-criteria (replicate distinction, controls, independent replication, species/strain, housing, IACUC) are correctly marked not applicable. The statistics verification component checked 8 reported values (all consistent); coverage is partial, and no arithmetic errors were found. The copyedit pass flagged 6 minor issues (grammar, clarity, formatting). The citation check found no retracted or unfindable references. One reproducibility link was dead (code repository link?), but this is a low-severity issue since code is in supplemental files.
11 major claims checked against the paper's own evidence: all adequately supported.
Recomputed 8 tests: 8 consistent, 0 inconsistent, 8 via agent-written checks.
6 copyedit issues flagged: mostly consistency, clarity, other.
Checked 40 references: 39 verified — 1 not checked.
8 data/code links checked; 7 live, 1 dead.
Registered (2 IDs: ClinicalTrials.gov). No reporting guideline cited.
Ready to submit after minor edits. The authors must deposit the analysis code in a public repository (e.g. GitHub, Zenodo) with a DOI and update the data availability statement. Additionally, referencing the CONSORT 2010 statement and reporting exact p-values for the primary outcome would strengthen the submission. The copyedit issues are minor but should be addressed for a polished manuscript.
- 1.HIGHdata codeDeposit the analysis code in a public repository (e.g., Zenodo, GitHub) with a persistent DOI, then update the data availability statement to include the repository URL and DOI.Supplemental files are not a version-controlled, permanent repository; reviewers and journals expect code to be accessible with a persistent identifier for full reproducibility.
- 2.HIGHreportingAdd a statement in the Methods section (or at the end of the manuscript) that the trial adheres to the CONSORT 2010 statement for randomised trials, and consider submitting the CONSORT checklist as a supplementary file.Explicitly referencing the reporting guideline is standard practice and is expected by clinical trial journals.
- 3.MEDIUMstatisticsReport the exact p-value for the primary outcome (e.g., P=3.2×10^{-9}) instead of P<0.001, if the software can provide it.Exact p-values allow readers to assess the evidence more precisely and are increasingly required by reporting guidelines.
- 4.MEDIUMstatisticsAdd a sentence in the Statistical Analysis section explicitly stating that assumptions for the mixed-effects model (e.g., normality, sphericity) were checked, or justify why the method is robust to violations.Reviewers often request explicit assumption verification for parametric models to ensure the analysis is valid.
- 5.MEDIUMcopyeditIn Table 1, change 'Include' to 'Includes' in the footnote to match the grammatical style of other footnotes.Minor consistency issue flagged in the copyedit pass.
- 6.MEDIUMcopyeditIn Results paragraph 1, rephrase the sentence about the patient who became pregnant to clarify that she successfully completed the study despite the pregnancy.Clarity improvement to avoid ambiguous phrasing.
- 7.MEDIUMcopyeditReformat Table 4 to ensure severity grade headers align clearly above the count columns, so the distribution for each adverse event is unambiguous.The table layout may confuse readers when interpreting severity distributions.
- 8.LOWreportingIn the Discussion, expand the limitation about cross-study comparisons by briefly stating how the differences in treatment regimens and definitions affect interpretation.The paper already notes caution; adding specificity strengthens the limitations section.
- 9.LOWotherSpecify the exact version of the Declaration of Helsinki (e.g., 2013 version) in the ethics statement.Minor precision improvement for regulatory compliance reporting.
- 10.LOWreportingConsider adding a brief statement about whether a data monitoring committee (DMC) was used.Mentioning DMC oversight is a detail some clinical trial journals expect.
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