2026-10-11T23:04:03Z https://www.scidb.cn/oai

10.57760/sciencedb.010in 2026-09-09T13:43:56Z

2026-09-09 Registration quality and key surgical safety outcome coverage of ChiCTR gallstone minimally invasive intervention trials: derived data and recalculation code doi:10.57760/sciencedb.010in en This dataset provides the supporting data and recalculation code for a cross-sectional methodological study based on public registration records of the Chinese Clinical Trial Registry (ChiCTR). The study assessed registration timing, sufficiency of primary-outcome specification, and registration coverage of key surgical safety outcomes among interventional studies of minimally invasive surgery and integrated endoscopic-surgical pathways for gallstone-related diseases in China. Data were current to 19 July 2026. Twenty-nine prespecified search strings yielded 1,481 term-level hits; after de-duplication, 408 records entered screening, and the strict registry-source primary cohort comprised 38 independent trials, with three post-lock eligibility sensitivity scenarios of 39, 40 and 41 trials.The dataset contains trial-level derived fields, 296 classified outcomes, 82 classified interventions, four-scenario membership flags, post hoc specific-safety flags, 7 registration-publication pairs, the complete search strategy and 408 screening dispositions, together with a recalculation script that depends only on the Python standard library and fully reproduces all proportions, Wilson 95% confidence intervals and sensitivity analyses reported in the article.The dataset contains no patient-level data, no identifiable personal information, no mirrored registry page text and no article full text. All safety-outcome variables reflect only the prespecified reporting scope of the registration records and do not represent event incidence, clinical safety or causal effects. Cholelithiasis; Minimally invasive surgical procedures; Clinical trial registration; ChiCTR; Registration quality; Surgical safety outcomes; Cross-sectional study Han Fengjie Wang Qingqing Shu Guiming EMBARGO https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank