Duration of androgen deprivation therapy with postoperative radiotherapy for prostate cancer: a comparison of long-course versus short-course androgen deprivation therapy in the RADICALS-HD randomised trial.
Parker CC, Kynaston H, Cook AD, Clarke NW, Catton CN, Cross WR, Petersen PM, Persad RA, Pugh CA, Saad F, Logue J, Payne H, Bower LC, Brawley C, Rauchenberger M, Barkati M, Bottomley DM, Brasso K, Chung HT, Chung PWM, Conroy R, Falconer A, Ford V, Goh CL, Heath CM, James ND, Kim-Sing C, Kodavatiganti R, Malone SC, Morris SL, Nabid A, Ong AD, Raman R, Rodda S, Wells P, Worlding J, Parulekar WR, Parmar MKB, Sydes MR, RADICALS investigators
Paper source
Duration of androgen deprivation therapy with postoperative radiotherapy for prostate cancer: a comparison of long-course versus short-course androgen deprivation therapy in the RADICALS-HD randomised trial.
This rigor review was examined and confirmed by Adcurare Editorial · July 7, 2026
How this rating was calculated▸
- IntegrityIntegrity concern−0.5★
- ReportingData & code availability partially met−0.25★
- LinksLink inconsistent with the paper−0.25★
- Data/code link contradicts the paper
- Data/code availability incomplete
- 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 presents a well-conducted phase 3 RCT with rigorous statistical methods and transparent reporting. The main rigor gaps are in ethical approvals (vague statement), key resources (no manufacturer or software named), and data/code sharing (no code). A copyedit issue with an implausible percentage in Table 1 needs correction. The scientific premise, study design, and statistical analysis are all rated pass.
Evaluation based on full-text review of the manuscript and supplementary materials. All 8 dimensions were applicable. Statistical verification checked 12 tests; all were consistent. No retracted or missing references were found. The reviewers agreed on most dimensions, with minor divergence on biological variables (reviewer 1 gave fail, reviewers 2/3 gave pass) and key resources (reviewer 1 gave fail, reviewers 2/3 gave pass); these were resolved by weighing the evidence.
9 major claims checked against the paper's own evidence: all adequately supported.
Recomputed 12 tests: 12 consistent, 0 inconsistent, 12 via agent-written checks.
1 integrity concern flagged (0 high).
3 copyedit issues flagged (1 major): mostly consistency, clarity.
Checked 17 references: 15 verified — 2 not checked.
4 data/code links checked; 4 live; 1 resolved to content that does not match the paper.
Registered (3 IDs: ClinicalTrials.gov, ISRCTN, PROSPERO). No reporting guideline cited.
Ready after minor edits. The paper is methodologically sound. The primary pre-submission actions are to (1) correct the Denmark percentage typo in Table 1 (copyedit, critical), (2) name the ethics committees or provide protocol numbers in the main text, and (3) add a statement about regulatory compliance. These are quick fixes. The paper does not require substantive revision and is suitable for submission after addressing these items.
- 1.HIGHcopyeditCorrect the Denmark percentage in Table 1 for the short-course ADT group: change '35 (95%)' to '35 (5%)' or the accurate percentage based on the denominator (35/761 ≈ 4.6%).This is an impossible percentage (95%) that reviewers will notice immediately and raises questions about data integrity; it must be fixed before submission.
- 2.HIGHethicsAdd the names of the specific ethics committees or institutional review boards, and/or the relevant protocol approval numbers, to the main text (Methods, Study design and participants).The current statement referencing the appendix is inadequate for direct verification; ethics committees must be identifiable in the manuscript.
- 3.HIGHreportingState explicitly that the trial was conducted in accordance with the Declaration of Helsinki and Good Clinical Practice guidelines, or add a regulatory compliance statement.This is standard for human trials and is currently missing, which leaves a reporting gap that a journal editor may flag.
- 4.HIGHreportingName the statistical software package (e.g., Stata, SAS, R) and version used for all analyses in the Methods, Statistical analysis section.Reproducibility requires knowing the software environment; this is a minor but universally expected reporting element.
- 5.HIGHdata codeAdd a statement about the availability of analysis code, even if only upon request, to the Data sharing section.Code is a key part of reproducibility; its absence is a gap in the data/code availability dimension.
- 6.HIGHreportingProvide the manufacturers (company, city, country) for the androgen deprivation therapy drugs used (GnRH analogue, bicalutamide, degarelix) in the Methods, Procedures section.Key resources should identify suppliers for all investigational products to enable replication.
- 7.MEDIUMreportingReference the CONSORT reporting checklist in the Methods section, or state that the paper follows CONSORT guidelines.Though the paper follows CONSORT structure, explicitly citing the guideline improves transparency.
- 8.MEDIUMcopyeditClarify the original power calculation sentence in Methods, Statistical analysis: 'This separated, pairwise comparison required approximately 1077 patients to observe 91 events' should be contextualised as the original design before the endpoint change.The sentence could be misinterpreted as the final sample size; providing context improves clarity.
- 9.MEDIUMreportingAdd weight/BMI to the baseline characteristics table (Table 1) or explain why these data are not reported.Weight and health status are expected biological variables in a human trial; their absence is a minor reporting gap.
- 10.LOWreportingReport the number of patients who received each type of ADT (GnRH agonist vs bicalutamide vs degarelix) in the results for completeness.Describing actual treatment received enhances the understanding of intervention adherence and subgroup analysis context.
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