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Updated: Sep 22, 2026

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Methodological challenges in surgical randomized trials: systematic review of rectal cancer studies
Daichi Kitaguchi1,2, Mariano Giménez1,3, Antonello Forgione1
1Research Institute Against Digestive Cancer (IRCAD), Strasbourg, France.
Background:
Surgical randomized clinical trials (RCTs) have structural features that differ fundamentally from those of non-surgical trials, which may complicate appraisal using standard assessment frameworks. This methodological systematic review used rectal cancer surgery RCTs as a high-complexity exemplar to identify surgically specific methodological challenges and to examine their interaction with established tools for assessing risk of bias and certainty of evidence.
Methods:
A systematic literature search was conducted in PubMed, Embase, and the Cochrane Library on 1 November 2025. Eligible studies were RCTs evaluating surgery-related interventions for rectal cancer in adult patients, published in English from 2020 onward, with sufficient methodological detail. Included trials were categorized into predefined, mutually exclusive surgical RCT types. Methodological features were descriptively summarized and conceptually mapped to the domains of the revised Cochrane Risk of Bias (RoB 2) tool and the GRADE framework using both quantitative tabulation and narrative synthesis.
Results:
Of 1529 records identified, 45 publications reporting on 35 RCTs were included. Trials were classified into five surgical RCT categories. Surgically specific methodological challenges were most frequently observed in RoB 2 domains D2 (bias due to deviations from intended interventions) and D4 (bias in measurement of the outcome), as well as in the GRADE domain of indirectness.
Conclusion:
This review suggests that several challenges encountered when applying RoB 2 and GRADE to surgical RCTs arise from structural characteristics of surgical trial design rather than obvious methodological shortcomings. Contextualizing standard appraisal frameworks within the realities of surgical research may allow for a more nuanced interpretation of existing evidence, inform future trial design, and support more appropriate evidence synthesis.
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