Evidence map›Paper›PMID 30948895›Full record

ArticleIndian journal of surgical oncology2019

CR-Possum-Can It Be Used to Predict Morbidity? A Single-Centre Retrospective Study.

Viswakumar Prabakaran, Thamizhmathi Thangaraju, Anil C Mathew, Vimalkumar Govindan, Vignesh Kannan, Tracy Rosalin Poulose

Abstract read
In one paragraph

Article in Indian journal of surgical oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Nomogram for Prediction of Postoperative Morbidity in Patients with Colon Cancer Requiring Emergency Therapy.Medical science monitor : international medical journal of experimental and clinical research · 2022
    Article
  3. Observational
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

6 authors.

Viswakumar PrabakaranDepartment of General and GI Surgery, PSG Institute of Medical Science and Research, (Affiliated to Tamilnadu Dr. MGR Medical University), Peelamedu, Coimbatore, Tamilnadu 641004 India.ORCID 0000-0001-5084-0444
Thamizhmathi ThangarajuDepartment of General and GI Surgery, PSG Institute of Medical Science and Research, (Affiliated to Tamilnadu Dr. MGR Medical University), Peelamedu, Coimbatore, Tamilnadu 641004 India.
Anil C MathewDivision of Biostatistics, Department of Community Medicine, PSG Institute of Medical Science and Research, (Affiliated to TamilNadu Dr. MGR Medical University), Coimbatore, India.
Vimalkumar GovindanDepartment of General and GI Surgery, PSG Institute of Medical Science and Research, (Affiliated to Tamilnadu Dr. MGR Medical University), Peelamedu, Coimbatore, Tamilnadu 641004 India.
Vignesh KannanDepartment of General and GI Surgery, PSG Institute of Medical Science and Research, (Affiliated to Tamilnadu Dr. MGR Medical University), Peelamedu, Coimbatore, Tamilnadu 641004 India.
Tracy Rosalin PouloseDepartment of General and GI Surgery, PSG Institute of Medical Science and Research, (Affiliated to Tamilnadu Dr. MGR Medical University), Peelamedu, Coimbatore, Tamilnadu 641004 India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Preoperative prediction of morbidity in colorectal cancer (CRC) surgery helps to optimize the surgical outcome. In this study, we aim to develop a dedicated equation for predicting operative morbidity using colorectal possum scoring system and also to validate the predictive accuracy of CR-POSSUM scoring system in prognosticating actual complications. We did a retrospective analysis of 322 patients undergoing colorectal cancer surgery from a single centre in South India from 2004 to 2016. Mortality and morbidity risk factors as defined by CR POSSUM were collected from 322 patients who underwent CRC surgery and were used to derive equations to predict morbidity, and the results were compared with the observed morbidity. Logistic regression analysis was used to derive the equation. The model fit and model discrimination were analysed using the Hosmer-Lemeshow statistical test for goodness of fit, the Nagelkerke

Indexed as

Colorectal POSSUMColorectal surgeryMorbidity and mortalityPOSSUMPrediction modelSSI

Identifiers

PMID30948895
PMCPMC6414562

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Read underepoch 390

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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.