Niraparib and abiraterone acetate plus prednisone for HRR-deficient metastatic castration-sensitive prostate cancer: a randomized phase 3 trial
Attard G, Agarwal N, Graff JN, Sandhu S, Efstathiou E, Özgüroğlu M, Pereira de Santana Gomes AJ, Vianna K, Luo H, Gotto GT, Cheng HH, Kim W, Varela CR, Schaeffer D, Kramer K, Li S, Baron B, Shen F, Mundle SD, McCarthy SA, Olmos D, Chi KN, Rathkopf DE.
Paper source
Niraparib and abiraterone acetate plus prednisone for HRR-deficient metastatic castration-sensitive prostate cancer: a randomized phase 3 trial
This rigor review was examined and confirmed by Adcurare Editorial · July 6, 2026
How this rating was calculated▸
- StatisticsStatistic did not reproduce ×3−1.5★
- ReportingData & code availability partially met−0.25★
- Reported statistics do not recompute
- Data/code availability incomplete
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 manuscript reports a well-designed phase 3 trial with rigorous methodology and transparent reporting. The main weakness is the absence of code sharing and minor imprecision in statistical reporting (p-value thresholds, missing data handling).
Three independent rigor evaluations were synthesized; the reviewers largely agreed, with minor divergence on statistical analysis and data code availability (resolved by weighing evidence). Study type is interventional (human RCT). Many checklist items (e.g., antibodies, cell lines) are not applicable.
12 major claims checked against the paper's own evidence: all adequately supported.
Recomputed 10 tests: 7 consistent, 3 inconsistent, 10 via agent-written checks.
5 copyedit issues flagged: mostly consistency, clarity, other.
Checked 45 references: 43 verified — 2 not checked.
2 data/code links checked; 2 live.
Registered (5 IDs: ClinicalTrials.gov). Reporting guideline cited: CONSORT.
Ready after minor edits: the manuscript is methodologically sound, but adding a code sharing statement, clarifying missing data handling, and fixing a few copyedit errors will strengthen the submission and address potential reviewer concerns.
- 1.HIGHdata codeAdd a code sharing statement to the Data availability section: provide a link to a public repository (e.g., GitHub, Zenodo) with the custom SAS analysis code, or state that code is available upon request from the corresponding author.No analysis code is currently reported; sharing code enhances reproducibility and is expected by many journals.
- 2.HIGHreportingIn the Methods, Statistical analysis section, clarify the handling of missing data beyond the 'data-as-observed' approach; specify whether a complete-case or available-case analysis was used and describe any sensitivity analyses.The current description is vague and was flagged by both a reviewer and the copyedit pass; clearer reporting strengthens the analysis credibility.
- 3.HIGHcopyeditIn Methods, Trial design and participants, correct 'International Counsel for Harmonisation' to 'International Council for Harmonisation' (ICH).The current phrasing is a misspelling of the standard organization name.
- 4.MEDIUMstatisticsIn Results, provide exact p-values (e.g., P=0.00012) instead of inequality values like P < 0.0001 where possible, or report them in the supplementary materials.Exact p-values allow readers to assess the strength of evidence more precisely, though thresholds are standard for very small values.
- 5.MEDIUMstatisticsIn Methods, Statistical analysis, add a brief verification of the proportional hazards assumption for the Cox models (e.g., a test or scaled Schoenfeld residuals plot in the supplementary materials).While not always required, verifying this assumption would address a reviewer concern and improve analytic rigor.
- 6.MEDIUMreportingIn Methods, Trial design and participants, provide more detailed description of blinding procedures: specify who was blinded (patients, investigators, outcomes assessors) and how blinding was maintained (e.g., matching placebos).The current description is brief; fuller details help confirm internal validity.
- 7.MEDIUMstatisticsIn Results, report effect sizes for secondary endpoints (e.g., time to PSA progression, overall survival at interim) with confidence intervals consistently in the main text, not only p-values.Ensures uniform reporting of effect precision across all outcomes.
- 8.MEDIUMdata codeConsider depositing de-identified genomic sequencing data from the central assays (FoundationOne CDx, etc.) in a public repository such as dbGaP or EGA, and cite the accession number in the Data availability section.Enables data reuse for validation and secondary research, aligning with genomic data sharing best practices.
- 9.MEDIUMreportingIn Results, Secondary endpoints, rephrase the long sentence about subsequent treatments in the abiraterone group for clarity (see copyedit suggestion).Improves readability and avoids potential misinterpretation.
- 10.LOWreportingIn Results, add a CONSORT flow diagram with detailed reasons for screen failures and exclusions (Figure 1 may already be present but ensure it is fully detailed).Provides complete transparency about patient flow, a standard for RCTs.
- 11.LOWreportingIn Methods, Participants, consider specifying 'deleterious or suspected deleterious' instead of just 'deleterious' for HRR gene alterations, if applicable.Aligns with common trial terminology and avoids ambiguity about pathogenicity classification.
- 12.LOWcopyeditIn Results, Table 1, ensure the note about percentages not summing to 100 due to rounding is clear; add a statement if multi-answer options apply.Standard practice for categorical data presentation.
- 13.LOWreportingIn Results, for patient-reported outcomes (FACT-P), consider reporting the minimal clinically important difference (MCID) to help interpret clinical significance.Helps readers assess whether changes are clinically meaningful, not just statistically significant.
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