Evidence map›Paper›PMID 20556607›Full record

SynthesisWorld journal of surgery2010

POSSUM and its related models as predictors of postoperative mortality and morbidity in patients undergoing surgery for gastro-oesophageal cancer: a systematic review.

Sumanta Dutta, Paul G Horgan, Donald C McMillan

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in World journal of surgery, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
–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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Individual risk modelling for esophagectomy: a systematic review.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2014
    Pooled it
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  12. Predicting morbidity of liver resection.Langenbeck's archives of surgery · 2018
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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

3 authors.

Sumanta DuttaUniversity Department of Surgery, Faculty of Medicine, University of Glasgow, 4th Floor Walton Building, Glasgow Royal Infirmary, Castle Street, Glasgow G4 0SF, UK. sdutta09@gmail.com
Paul G Horgan
Donald C McMillan

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGastro-oesophageal surgery is associated with appreciable postoperative morbidity and mortality. POSSUM (Physiological and Operative Severity Score for the enUmeration of Mortality and Morbidity) and its related models P-POSSUM and O-POSSUM have been developed to predict such events in general surgery. The aim was to undertake the first systematic review of the use of these models in gastro-oesophageal surgery patients.

methodsAn online database search was carried out from 1991 to December 2008.

resultsTwenty-two published studies in gastro-oesophageal cancer surgery were identified. Twelve studies were found not to address the above aim, leaving ten relevant publications for analysis. Pooled data from these studies showed the weighted observed-to-expected ratio (O/E) for postoperative mortality using POSSUM (n = 1189), P-POSSUM (n = 2314), and O-POSSUM (n = 1755) was 0.37, 0.83, and 0.51, respectively. The weighted O/E for morbidity using POSSUM (n = 1038) was 0.86.

conclusionPOSSUM and O-POSSUM most significantly overestimated postoperative mortality in gastro-oesophageal cancer patients. In contrast, P-POSSUM had the least overestimation and may be the most useful predictor of likely postoperative mortality in these patients.

Indexed as

Severity of Illness IndexAgedArea Under CurveDigestive System Surgical ProceduresEsophageal NeoplasmsHumansMaleMiddle AgedStomach Neoplasms

Identifiers

What OpenQuestion holds

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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.