ArticleBioinformation2025
Assessment of postoperative complications and their risk factors in general surgery using clavien-dindo classification.
Article in Bioinformation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Large language models for predicting postoperative complications: benefits, potential, and limitations of clinical use.Korean journal of anesthesiology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Postoperative complications remain a significant challenge in general surgery, adversely impacting patient safety, hospital resources, and recovery outcomes. This study evaluated 800 patients using the Clavien-Dindo classification to assess the incidence and contributing risk factors. A complication rate of 31.5% was observed, with higher frequencies associated with comorbidities, increased BMI, emergency surgeries, prolonged operative time, infected wounds, and excessive intraoperative blood loss. The analysis identified statistically significant associations between these variables and complication severity. These findings underscore the importance of risk stratification, optimized surgical planning, and preoperative patient management to reduce postoperative morbidity.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.