Benralizumab versus placebo for hypereosinophilic syndrome: a randomized, placebo-controlled phase 3 trial.
Ogbogu PU, Roufosse F, Akuthota P, Kuna P, Groh M, Reiter A, Yokota A, Siddiqui SH, Mutsaers PGNJ, Li B, Khoury P, Bahadori LM, Bednarczyk A, Bouma G, Brooks LG, Ferreira J, Grindebacke H, Ho CN, Jain P, Palmer RL, Jison ML, Klion AD, NATRON study group
Paper source
Benralizumab versus placebo for hypereosinophilic syndrome: a randomized, placebo-controlled phase 3 trial.
This rigor review was examined and confirmed by Adcurare Editorial · July 6, 2026
How this rating was calculated▸
- IntegrityIntegrity concern ×3−1.5★
- ReportingKey resources partially met−0.25★
- Key resources under-identified (antibodies, cell lines, RRIDs)
- Internal contradictions in the reported numbers
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 reports a well-designed phase 3 RCT with strong methodology in most dimensions. Two dimensions (key_resources and statistical_analysis) have minor reporting gaps: the SAS version is missing, model assumptions are not verified, and Table 1 race counts inexplicably sum below the group total. These gaps are fixable and do not undermine the core findings.
Three independent AI models scored all eight dimensions on the full text; a copyedit pass and verification components (statistics, citation, reproducibility, integrity, claim audit) provided supplementary checks. All three reviewers agreed on most dimensions; the synthesis weighted specific verifiable evidence (e.g., missing assumption check, missing race data) above general impressions.
12 major claims checked against the paper's own evidence: all adequately supported.
Recomputed 13 tests: 13 consistent, 0 inconsistent, 13 via agent-written checks.
3 integrity concerns flagged (0 high).
5 copyedit issues flagged: mostly typo, consistency.
Checked 29 references: 0 verified — 29 not checked.
6 data/code links checked; 6 live.
Registered (1 ID: ClinicalTrials.gov). No reporting guideline cited.
Ready after moderate revision. The manuscript is strong but, before submission, the authors must (1) add SAS version, (2) test and report proportional hazards assumptions, (3) explain the missing race data in Table 1 and the missing SF-36v2 data point for one placebo patient, and (4) fix the three copyedit typos. These are straightforward corrections that will eliminate the warns and produce a clean submission.
- 1.HIGHstatisticsTest the proportional hazards assumption for the Cox model (e.g., using Schoenfeld residuals) and report the result in the Methods (Statistical analysis) section.This is a standard assumption for time-to-event analysis; its absence is a reporting gap that a reviewer may flag.
- 2.HIGHreportingAdd a footnote to Table 1 explaining why race counts sum to 58 (benralizumab) and 57 (placebo) instead of the group Ns (67 and 66); clarify whether race data were missing for 9 and 9 patients respectively.Missing race data without explanation is an inconsistency that undermines baseline table integrity and was flagged by both a reviewer and the copyedit pass.
- 3.HIGHreportingExplain in Table 1 or Results why the SF-36v2 baseline data are reported for n=65 in placebo instead of n=66; add a footnote if one patient had missing data.The table shows 65 placebo patients for SF-36v2 but the group total is 66; unexplained missing data raises questions about data completeness.
- 4.HIGHrigorAdd the version number of SAS (e.g., 'SAS System version 9.4') in the Methods (Statistical analysis) section.All three reviewers noted the missing version; this minor addition meets reproducibility standards and resolves the key_resources warn.
- 5.HIGHcopyeditCorrect the typo 'avialable' to 'available' in the Data availability section (appears multiple times).This typographical error is flagged by the copyedit pass and is a simple fix.
- 6.HIGHcopyeditCorrect the typo 'Universtié' to 'Université' in author 5's affiliation.This error in the author list is a copyedit issue that should be fixed before submission.
- 7.MEDIUMreportingConsider reporting body weight as a baseline demographic variable in Table 1, as it is often collected in clinical trials and may be relevant for pharmacokinetic analyses.One reviewer noted weight is absent; while not critical for this fixed-dose trial, adding it would improve thoroughness.
- 8.MEDIUMstatisticsPre-specify and report the verification of model assumptions for the negative binomial model (e.g., overdispersion) and the mixed model (e.g., covariance structure) in the Methods (Statistical analysis).Adding a brief note on assumption checks for secondary models would strengthen the statistical reporting.
- 9.MEDIUMdata codeInclude a statement about code availability in the Data availability section (e.g., 'The statistical analysis code is available from the corresponding author upon reasonable request'), even if only standard SAS procedures were used.One reviewer flagged the absence of a code-sharing statement; adding this optional statement improves transparency without obligating public release.
- 10.MEDIUMdata codeIf possible, provide a study-specific persistent identifier (e.g., a DOI) for the dataset as part of the data availability statement, or note the study ID for the Vivli platform.One reviewer noted the lack of a direct dataset identifier; while the current URL is acceptable, a DOI would improve discoverability.
- 11.MEDIUMreportingConsider listing the names and protocol numbers of the ethics committees/IRBs in the main text or as a supplementary table, rather than only referencing the Supplementary Information.Two reviewers suggested this for maximal transparency; it is a simple enhancement.
- 12.LOWreportingExplicitly state that the study follows CONSORT guidelines and consider including a completed CONSORT checklist as supplementary material.One reviewer recommended this; while not required, it aligns with best reporting practices.
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