ArticleLangenbeck's archives of surgery2025
Development and validation of a preoperative prediction model for geriatric emergency general surgery.
Article in Langenbeck's archives of surgery, 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.
- Emergency surgical conditions in geriatric patients: current research landscape.International journal of emergency medicine · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe aim of this study was to establish a scoring system for preoperative assessment of postoperative mortality in elderly patients undergoing emergency general surgery.
methodsA retrospectively database of geriatric emergency general surgery (EGS) patients who underwent emergency surgery was used for the development of the scoring system.
resultsIn total, 1500 patients were enrolled with mean age of 69.8 years in the study. Through the development and comparison of models, we ultimately derived a rating scale known as GES (Geriatric Emergency Surgery Score). This score has a c-statistic of 0.892 for mortality (95% CI 0.854-0.931). The observed probability of mortality in hospital gradually increased from 1.1% at a score of 0 to 30.3% at a score of 5 and 100% at a score of 8.
conclusionThe GES scoring model in this study will accurately predict the mortality risk of elderly patients with acute abdomen, optimize the allocation of medical resources, and standardize the assessment of patients' conditions based on scientific criteria. Further prospective multicenter trials are needed to externally validate the model developed.
Indexed as
Identifiers
What OpenQuestion holds
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.