Comment on “reporting of morbidity data in general surgery: a one-year cross-sectional analysis of the six journals with the highest impact factor”

To the Editor, Gorini et al provide a timely audit of postoperative morbidity reporting in six high-impact general surgery journals (2022; 249 studies), showing that even in elite outlets, complication reporting often lacks the methodological transparency needed for reproducibility and benchmarking[1]. This commentary was prepared in line with the TITAN 2025 guideline to promote transparent and accountable reporting[2]. Three deficiencies highlighted by the authors are particularly consequential. First, data provenance is frequently unclear: most studies did not consistently state where morbidity data came from or who adjudicated and recorded complications, making ascertainment bias impossible to judge1. Second, post-discharge capture remains a blind spot – although follow-up was often mentioned, follow-up methods were rarely described, and explicit confirmation that complications were collected during follow-up was essentially absent[1]. Given that many clinically meaningful complications occur after discharge, incomplete surveillance systematically underestimates morbidity and distorts inter-study comparisons. Third, although standardized grading was common, the authors document extensive heterogeneity and modification of Clavien–Dindo reporting, including selective thresholds (e.g., only ≥grade III), which risks “hiding” minor complications that still drive costs and patient experience[1]. This is notable because Clavien–Dindo was explicitly designed to be used without ad hoc modification to preserve comparability[3,4]. Importantly, the problems identified are not new; they echo the classic Annals of Surgery work by Martin et al, which proposed 10 core elements for rigorous complication reporting more than two decades ago[5]. The persistence of these gaps – despite near-universal endorsement of reporting guidelines – suggests that voluntary adherence is insufficient. Gorini et al therefore make a persuasive case for moving from “recommended” to “required” morbidity reporting items. Their six core elements (time window, data sources, data collectors, standardized grading, follow-up methods, readmission reporting) provide an immediately implementable minimum dataset[1]. A practical next step would be journal-level enforcement: a short, mandatory “morbidity methods” box (analogous to CONSORT/STROBE check items, and consistent with STROCSS updates) could standardize complication capture and substantially improve meta-analytic usability[6,7]. If adopted, this would reduce outcome-reporting variability, strengthen quality-improvement claims, and improve the credibility of technique comparisons across surgical research.

Authors

Institutions

Publication Details

Journal
International Journal of Surgery
Published
2026-01-26
DOI
https://doi.org/10.1097/js9.0000000000004786
Primary Topic
Meta-analysis and systematic reviews
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comment on “reporting of morbidity data in general surgery: a one-year cross-sectional analysis of the six journals with the highest impact factor”

Tingting Wang
International Journal of Surgery
Meta-analysis and systematic reviews
article

Comment on “reporting of morbidity data in general surgery: a one-year cross-sectional analysis of the six journals with the highest impact factor”

Tingting Wang
article en

Abstract

To the Editor, Gorini et al provide a timely audit of postoperative morbidity reporting in six high-impact general surgery journals (2022; 249 studies), showing that even in elite outlets, complication reporting often lacks the methodological transparency needed for reproducibility and benchmarking[1]. This commentary was prepared in line with the TITAN 2025 guideline to promote transparent and accountable reporting[2]. Three deficiencies highlighted by the authors are particularly consequential. First, data provenance is frequently unclear: most studies did not consistently state where morbidity data came from or who adjudicated and recorded complications, making ascertainment bias impossible to judge1. Second, post-discharge capture remains a blind spot – although follow-up was often mentioned, follow-up methods were rarely described, and explicit confirmation that complications were collected during follow-up was essentially absent[1]. Given that many clinically meaningful complications occur after discharge, incomplete surveillance systematically underestimates morbidity and distorts inter-study comparisons. Third, although standardized grading was common, the authors document extensive heterogeneity and modification of Clavien–Dindo reporting, including selective thresholds (e.g., only ≥grade III), which risks “hiding” minor complications that still drive costs and patient experience[1]. This is notable because Clavien–Dindo was explicitly designed to be used without ad hoc modification to preserve comparability[3,4]. Importantly, the problems identified are not new; they echo the classic Annals of Surgery work by Martin et al, which proposed 10 core elements for rigorous complication reporting more than two decades ago[5]. The persistence of these gaps – despite near-universal endorsement of reporting guidelines – suggests that voluntary adherence is insufficient. Gorini et al therefore make a persuasive case for moving from “recommended” to “required” morbidity reporting items. Their six core elements (time window, data sources, data collectors, standardized grading, follow-up methods, readmission reporting) provide an immediately implementable minimum dataset[1]. A practical next step would be journal-level enforcement: a short, mandatory “morbidity methods” box (analogous to CONSORT/STROBE check items, and consistent with STROCSS updates) could standardize complication capture and substantially improve meta-analytic usability[6,7]. If adopted, this would reduce outcome-reporting variability, strengthen quality-improvement claims, and improve the credibility of technique comparisons across surgical research.

International Journal of Surgery
Hainan Modern Women and Children's Hospital (CN)
Gender equality
Openalex Percentile: Top 79%
Meta-analysis and systematic reviews
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.