Evidence map›Paper›PMID 37589793›Full record

ArticleWorld journal of surgery2023

Frailty Assessment Can Enhance Current Risk Prediction Tools in Emergency Laparotomy: A Retrospective Cohort Study.

Karl G Isand, Shoaib Hussain, Maseh Sadiqi, Ülle Kirsimägi, Giles Bond-Smith, Helgi Kolk, Sten Saar, Urmas Lepner, Peep Talving

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In one paragraph

Article in World journal of surgery, 2023. 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.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 20% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 30-Day mortality risk predictors for emergency laparotomy: a comparative study.Annals of the Royal College of Surgeons of England · 2026
    Article
  4. Article
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 2 countries.

Karl G IsandFaculty of Medicine, Tartu University, Sütiste Tee 19, 13419, Tallinn, Tartu, Estonia. isandkarl@gmail.com.
Shoaib HussainOxford University Hospitals NHS Trust Surgical Emergency Unit, Oxford, UK.
Maseh SadiqiOxford University Hospitals NHS Trust Surgical Emergency Unit, Oxford, UK.
Ülle KirsimägiFaculty of Medicine, Tartu University, Sütiste Tee 19, 13419, Tallinn, Tartu, Estonia.
Giles Bond-SmithOxford University Hospitals NHS Trust Surgical Emergency Unit, Oxford, UK.
Helgi KolkFaculty of Medicine, Tartu University, Sütiste Tee 19, 13419, Tallinn, Tartu, Estonia.
Sten SaarFaculty of Medicine, Tartu University, Sütiste Tee 19, 13419, Tallinn, Tartu, Estonia.
Urmas LepnerFaculty of Medicine, Tartu University, Sütiste Tee 19, 13419, Tallinn, Tartu, Estonia.
Peep TalvingFaculty of Medicine, Tartu University, Sütiste Tee 19, 13419, Tallinn, Tartu, Estonia.
University of Tartu · EEOxford University Hospitals NHS Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe set out to assess the performance of the P-POSSUM and NELA risk prediction tool (NELA RPT), and hypothesized that combining them with the Clinical Frailty Scale (CFS) would significantly improve their performance. Emergency laparotomy (EL) is a high-risk surgical intervention, particularly for elderly patients with marked comorbidities and frailty. Accurate risk prediction is crucial for appropriate resource allocation, clinical decision making, and informed consent. Although patient frailty is a significant risk factor, the current risk prediction tools fail to take frailty into account.

methodsIn this retrospective single-center cohort study, we analyzed all cases entered into the NELA database from the Oxford University Hospitals between 01.01.2018 and 15.06.2021. We analyzed the performance of the P-POSSUM and NELA RPT. Both tools were modified by adding the CFS to the model.

resultsThe discrimination of both the P-POSSUM and NELA RPT was good, with a slightly worse performance in the elderly. Adding CFS into the P-POSSUM and NELA RPT models improved both tools in the elderly [AUC from 0.775 to 0.846 (p < 0.05) from 0.814 to 0.864 (p < 0.05), respectively]. The improvement of the NELA RPT across all age groups did not reach statistical significance. The CFS grade was associated with 30-day mortality in patients aged > 65 years. However, in younger patients, this effect was less marked than in the elderly.

conclusionOur analysis demonstrated a significant improvement in the P-POSSUM and NELA risk models when combined with the CFS. Frailty also increases the 30-day mortality after EL in younger individuals.

Indexed as

FrailtyLaparotomyAgedAged, 80 and overEmergenciesFemaleGeriatric AssessmentHumansMaleMiddle AgedRetrospective StudiesRisk AssessmentRisk Factors

Identifiers

PMID37589793
OpenAlexW4385898624

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.