Longitudinal effect of eteplirsen versus historical control on ambulation in Duchenne muscular dystrophy
Mendell JR, Goemans N, Lowes LP, ... Eteplirsen Study Group
Paper source
Longitudinal effect of eteplirsen versus historical control on ambulation in Duchenne muscular dystrophy
This rigor review was examined and confirmed by Adcurare Editorial · July 28, 2026
How this rating was calculated▸
- IntegrityIntegrity concern ×4−2★
- CitationsCitations & links (capped) ×24−1★
- ReportingData & code availability not met−0.5★
- ReportingStudy design partially met−0.25★
- ReportingEthical approvals partially met−0.25★
- ReportingKey resources partially met−0.25★
- ReportingStatistical analysis partially met−0.25★
Citations & links are capped at −1★ combined, however many are flagged.
- No reported statistical tests were found to recompute.
- Mathematically impossible statistic
- Data and code not shared
- Statistical reporting gaps (tests, assumptions, effect sizes)
- Ethics/consent reporting incomplete
- Key resources under-identified (antibodies, cell lines, RRIDs)
- Study-design details incomplete (controls, blinding, power)
- Data look implausibly clean
- Implausibly large reported effect
- Internal contradictions in the reported numbers
- References not resolvable to a published paper
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.
The paper has a strong scientific premise and adequate reporting transparency, but suffers from several critical gaps: no data availability statement, incomplete statistical reporting (no exact p-values, no confidence intervals, software not identified), and a potential GRIM inconsistency in the baseline data. Additionally, 24 references were not found in any registry, raising concerns about citation accuracy.
Three independent rigor evaluations were synthesized. The statistics component checked 0 tests (only threshold p-values reported), so no numerical verification was performed. The citation component flagged 24 references not found in any registry, which is a potential fabrication signal. The study was evaluated as a post-publication audit.
12 major claims checked against the paper's own evidence: all adequately supported.
4 integrity concerns flagged (0 high).
6 copyedit issues flagged: mostly consistency, clarity, typo.
Checked 47 references: 22 verified — 24 unresolved, 1 not checked.
3 data/code links checked; 3 live.
Registered (2 IDs: ClinicalTrials.gov). No reporting guideline cited.
As a published paper, this work has significant reporting and data integrity issues that an informed reader should weigh carefully. The lack of a data availability statement, the potential GRIM inconsistency, and the missing reference verifications undermine the ability to independently assess the results. A correction or erratum addressing these issues, and possibly an independent re-analysis of the raw data, would be warranted to strengthen the paper's credibility.
- 1.HIGHstatisticsClarify the baseline 6MWT mean of 363.2 m for 12 patients: if distances are integers, correct the mean or provide the raw data to resolve the GRIM inconsistency (sum should be 4358.4, not integer).This inconsistency raises questions about data accuracy; if confirmed, it requires a correction.
- 2.HIGHdata codeAdd a data availability statement specifying how to access the individual patient data (e.g., via the corresponding author or a managed-access repository) in a dedicated section.Without a data availability statement, the paper's findings cannot be independently verified, which is a key requirement for reproducibility.
- 3.HIGHotherVerify that all 24 references flagged as not found in any registry (e.g., 'Exon skipping therapy for Duchenne muscular dystrophy', 'Targeting RNA to treat neuromuscular disease', etc.) are correctly cited and exist in a citable form; if any cannot be verified, correct or remove them.References not found in any registry may be fabricated, which is a serious integrity concern.
- 4.HIGHstatisticsReport exact p-values (e.g., p = 0.003) instead of threshold values (p < 0.01) for all statistical tests in the Results section.Exact p-values allow readers to assess the strength of evidence fully.
- 5.HIGHstatisticsInclude 95% confidence intervals for the primary effect size (151 m difference on 6MWT) in the Results section.Confidence intervals provide precision of the effect estimate and are essential for interpretation.
- 6.HIGHstatisticsIdentify the statistical software (e.g., SAS, R) with version number in the Statistical Analysis section.Software identification is standard for reproducibility and allows readers to understand the analysis environment.
- 7.HIGHethicsState the specific IRB that approved the study (e.g., Nationwide Children's Hospital IRB) and include a protocol number in the Ethics section.A named IRB is required for ethical oversight and allows verification of approval.
- 8.HIGHethicsInclude a statement of compliance with a recognized regulatory framework (e.g., Declaration of Helsinki) in the Ethics section.Regulatory compliance is a standard expectation for clinical trials.
- 9.HIGHreportingAdd a power analysis or sample size justification for the historical control comparison in the Methods section.A power analysis helps readers assess whether the study had adequate sensitivity to detect the claimed effect.
- 10.HIGHreportingMention adherence to a reporting guideline (e.g., CONSORT) and submit the checklist.Reporting guidelines improve completeness and transparency of clinical trial reports.
- 11.MEDIUMreportingReport race/ethnicity demographics in Table 1 to improve generalizability assessment.Demographic data help readers understand the population studied and potential limitations in generalizability.
- 12.MEDIUMreportingPre-specify outlier handling criteria (e.g., imputation methods for loss of ambulation) in the Statistical Analysis section.Transparent handling of missing data and outliers is important for the credibility of the analysis.
- 13.MEDIUMcopyeditCorrect the study number discrepancy in the Discussion: '4568-201/202' should be '4658-201/202' to match the Methods section.Inconsistent numbering may confuse readers and suggests a lack of careful proofreading.
- 14.LOWcopyeditClarify the term 'placebo/delayed cohort' in Table 5 footnote to 'placebo/delayed-treatment cohort'.The term is ambiguous and could be misinterpreted.
- 15.LOWreportingExplicitly state the manufacturer of eteplirsen (Sarepta Therapeutics) in the Methods when describing the drug.While implied, explicit identification of the manufacturer is good practice for key resources.
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