Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 792

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

POSSUM and Portsmouth POSSUM for predicting mortality

Prytherch, D R, Whiteley, M S, Higgins, B, Weaver, P C, Prout, W G, Powell, S J·1998·Journal of British Surgery

Abstract

Background: There is a need for an accurate measure of surgical outcomes so that hospitals and surgeons can be compared properly regardless of case mix. POSSUM (Physiological and Operative Severity Score for the enUmeration of Mortality and morbidity) uses a physiological score and an operative severity score to calculate risks of mortality and morbidity. In a previous small study it was found that Portsmouth POSSUM (P-POSSUM; a modification of the POSSUM system) provided a more accurate prediction of mortality. Methods: Some 10 000 general surgical interventions (excluding paediatric and day cases) were studied prospectively between August 1993 and November 1995. The POSSUM mortality equation was applied to the full 10 000 surgical episodes. The 10 000 patients were arranged in chronological order and the first 2500 were used as a training set to produce the modified P-POSSUM predictor equation. This was then applied prospectively to the remaining 7500 patients arranged chronologically in five groups of 1500. Results: The original POSSUM logistic regression equation for mortality overpredicts the overall risk of death by more than twofold and the risk of death for patients at lowest risk (5 per cent or less) by more than sevenfold. The P-POSSUM equation produced a very close fit with the observed in-hospital mortality. Conclusion: P-POSSUM provides an accurate method for comparative surgical audit.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1046/j.1365-2168.1998.00840.x

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 2 references

Research works printed but not linked: 12

  1. Copeland, 1991, Possum: a scoring system for surgical audit, Br J Surg, 78, 355, 10.1002/bjs.1800780327 · DOI · Paper page
  2. Sagar, 1994, Comparative audit of colorectal resection with the POSSUM scoring system, Br J Surg, 81, 1492, 10.1002/bjs.1800811031 · doi:10.1002/bjs.1800811031
  3. Hartley, 1994, The surgeon's ‘gut feeling’ as a predictor of post-operative outcome, Ann R Coll Surg Engl, 76, 277
  4. Sagar, 1996, Comparison of individual surgeon's performance: risk-adjusted analysis with POSSUM scoring system, Dis Colon Rectum, 39, 654, 10.1007/BF02056945 · doi:10.1007/bf02056945
  5. Whiteley, 1996, An evaluation of the POSSUM surgical scoring system, Br J Surg, 83, 812, 10.1002/bjs.1800830628 · DOI · Paper page
  6. Hosmer, 1988, Goodness-of-fit testing for multiple logistic regression analysis when the estimated probabilities are small, Biometrical Journal, 30, 911, 10.1002/bimj.4710300805 · DOI
  7. Hosmer, 1980, A goodness of fit test for the multiple logistic regression model, Commun Stat Theor Meth, A9, 1043, 10.1080/03610928008827941 · DOI · Paper page
  8. Dixon, 1987, BMDP Statistical Software
  9. Whiteley, 1995, Comparative audit of colorectal resection with the POSSUM scoring system, Br J Surg, 82, 425, 10.1002/bjs.1800820358 · doi:10.1002/bjs.1800820358
  10. Gough, 1980, Audit: an annual assessment of the work and performance of a surgical firm in a regional teaching hospital, BMJ, 281, 913, 10.1136/bmj.281.6245.913 · doi:10.1136/bmj.281.6245.913
  11. Deans, 1987, Auditing perioperative mortality, Ann R Coll Surg Engl, 69, 185
  12. Midwinter, 1997, Risk stratification in vascular patients using modified POSSUM scoring system, Br J Surg, 84, 568

Cited by

See all 792

Metadata

Authors
Prytherch, D. R., Whiteley, M. S., Higgins, B., Weaver, P. C., Prout, W. G., & Powell, S. J.
Venue
Journal of British Surgery
Published
1998-09-01
Volume
85
Issue
9
Pages
1217-1220
ISSN
  • 0007-1323 (ISSN-L)
  • 1365-2168
OpenAlex
W1857781187
Cited by
792
References
2
FWCI
3.96
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: POSSUM and Portsmouth POSSUM for predicting mortality. https://app.cochat.ai/papers/10.1046/j.1365-2168.1998.00840.x
The paper
Prytherch, D. R., Whiteley, M. S., Higgins, B., Weaver, P. C., Prout, W. G., & Powell, S. J. (1998). POSSUM and Portsmouth POSSUM for predicting mortality. Journal of British Surgery. https://doi.org/10.1046/j.1365-2168.1998.00840.x

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.