Evidence map›Paper›PMID 40636630›Full record

ReviewCureus2025

Comparative Predictive Accuracy of ASA, POSSUM, and NSQIP Risk Scoring Systems in Major Abdominal Surgeries: A Systematic Review.

Vasudeva Lam, Muhammad Muaz Loon, Minaa Alrawe, Ismail S Abougendy, Muhammad Ali

Abstract readReview
In one paragraph

Review in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
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

5 authors.

Vasudeva LamGeneral Surgery, Queens Hospital, Romford, GBR.
Muhammad Muaz LoonGeneral Surgery, Barking, Havering and Redbridge University Hospitals NHS Trust, London, GBR.
Minaa AlraweEmergency Department, British Hospital, Cairo, EGY.
Ismail S AbougendyGeneral Surgery, Misr University for Science and Technology, Cairo, EGY.
Muhammad AliGeneral Surgery, Nishtar Medical University, Multan, PAK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This systematic review evaluates and compares the predictive accuracy of three commonly used surgical risk scoring systems in the context of major abdominal surgeries: American Society of Anesthesiologists (ASA) score, Physiological and Operative Severity Score for the enUmeration of Mortality and Morbidity (POSSUM), including its variants, and American College of Surgeons National Surgical Quality Improvement Program (NSQIP) calculator. A comprehensive literature search was conducted across multiple databases, identifying 10 eligible studies that assessed these models in various surgical settings, including elective colorectal resections, emergency laparotomies, and IBD-related procedures. The findings revealed that NSQIP-based models, especially those incorporating frailty indices, demonstrated better calibration and discrimination in elective surgeries. POSSUM and P-POSSUM provided moderate to high predictive accuracy in emergency settings, though they frequently overestimated mortality, particularly in laparoscopic cases. The ASA score, while simple and widely used, showed moderate predictive value but limited precision in complex or high-risk scenarios. Significant heterogeneity in study design, population characteristics, and outcome reporting precluded meta-analysis. However, narrative synthesis confirmed that the performance of each scoring system is context-dependent and that no single model demonstrated consistent superiority across all surgical types. These results underscore the importance of tailored risk assessment strategies and highlight the need for recalibration, external validation, and integration of newer predictive variables in surgical risk modeling.

Indexed as

asa scorefrailty indexmajor abdominal surgerymortality predictionnsqippossumpostoperative outcomespreoperative assessmentrisk stratificationsurgical risk prediction

Identifiers

PMID40636630
PMCPMC12237621

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Registered trials

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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.