ArticleCureus2022
Frailty is Associated With Poor Outcomes Following Emergency Laparotomy: What's Next?
Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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
5 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.
- Pooled it
- Frailty as a predictor of postoperative morbidity and mortality in older patients undergoing emergency laparotomy: a prospective cohort study in Yemen.BMC geriatrics · 2025Article
- Review
- Impact of preoperative frailty on outcomes in patients subjected to emergency laparotomy: a prospective study.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2025Article
- Sarcopenia versus clinical frailty scale in predicting the risk of postoperative mortality after emergency laparotomy: a retrospective cohort study.Langenbeck's archives of surgery · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and objective The Clinical Frailty Scale (CFS) is a rapid assessment tool to identify vulnerable and frail patients. We sought to evaluate the association between preoperative CFS scores and outcomes following emergency laparotomy in a dense, rural, and healthcare-deprived region of the UK inhabited by a multi-comorbid population. Methods We retrospectively reviewed regional National Emergency Laparotomy Audit (NELA) data across United Lincolnshire Hospitals NHS trust to identify all patients aged 65 years and above who underwent emergency laparotomy between December 2018 and March 2021. We also conducted a comprehensive multi-database literature search of Medline, Embase, and Cochrane to synthesise contemporaneous topical evidence. Results A total of 191 patients were assessed using the CFS before they underwent emergency laparotomy. Among 90 (47.1%) individuals categorised as vulnerable or frail (CFS score ≥4), there was no significant difference in age, gender, or length of stay related to the procedure compared with fit patients. However, vulnerable and frail patients were significantly more likely to die (84.8% vs. 39.2%, p<0.0001). Regression analysis identified a vulnerable or frail score to be a significant predictor of 30-day all-cause mortality (OR: 9.327; 95% CI: 3.101-28.054; p<0.0001). A total of six relevant papers were identified in the literature, all indicating a significant association between mortality as well as prolonged length and stay with clinical vulnerability and frailty. Conclusions The CFS is a practical and effective tool for assessing preoperative vulnerability and frailty among patients undergoing emergency laparotomy and can be used to predict mortality and morbidity after surgery.
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.