Evidence map›Paper›PMID 32495141›Full record

ArticleJournal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract2021

Development and Validation of a Clinical Risk Score for Intensive Care Resource Utilization After Colon Cancer Surgery: a Practical Guide to the Selection of Patients During COVID-19.

Richard Garfinkle, Maria Abou-Khalil, Ebram Salama, Daniel Marinescu, Allison Pang, Nancy Morin, Sebastian Demyttenaere, A Sender Liberman, Carol-Ann Vasilevsky, Marylise Boutros

Abstract readValidation Study
In one paragraph

Article in Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Richard GarfinkleDivision of Colon and Rectal Surgery, Jewish General Hospital, Montreal, QC, Canada.
Maria Abou-KhalilDivision of Colon and Rectal Surgery, Jewish General Hospital, Montreal, QC, Canada.
Ebram SalamaDivision of Colon and Rectal Surgery, Jewish General Hospital, Montreal, QC, Canada.
Daniel MarinescuDivision of Colon and Rectal Surgery, Jewish General Hospital, Montreal, QC, Canada.
Allison PangDivision of Colon and Rectal Surgery, Jewish General Hospital, Montreal, QC, Canada.
Nancy MorinDivision of Colon and Rectal Surgery, Jewish General Hospital, Montreal, QC, Canada.
Sebastian DemyttenaereDepartment of Surgery, St. Mary's Hospital, Montreal, QC, Canada.
A Sender LibermanDepartment of Surgery, McGill University Health Center, Montreal, QC, Canada.
Carol-Ann VasilevskyDivision of Colon and Rectal Surgery, Jewish General Hospital, Montreal, QC, Canada.
Marylise BoutrosDivision of Colon and Rectal Surgery, Jewish General Hospital, Montreal, QC, Canada. mboutros@jgh.mcgill.ca.ORCID 0000-0001-8006-321X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe purpose of this study was to develop and validate a prediction model and clinical risk score for Intensive Care Resource Utilization after colon cancer surgery.

methodsAdult (≥ 18 years old) patients from the 2012 to 2018 ACS-NSQIP colectomy-targeted database who underwent elective colon cancer surgery were identified. A prediction model for 30-day postoperative Intensive Care Resource Utilization was developed and transformed into a clinical risk score based on the regression coefficients. Model performance was assessed using the area under the receiver operating characteristic curve (AUC) and Hosmer-Lemeshow goodness-of-fit test. The model was validated in a separate test set of similar patients.

resultsIn total, 54,893 patients underwent an elective colon cancer resection, of which 1224 (2.2%) required postoperative Intensive Care Resource Utilization. The final prediction model retained six variables: age (≥ 70; OR 1.90, 95% CI 1.68-2.14), sex (male; OR 1.73, 95% CI 1.54-1.95), American Society of Anesthesiologists score (III/IV; OR 2.52, 95% CI 2.15-2.95), cardiorespiratory disease (yes; OR 2.22, 95% CI 1.94-2.53), functional status (dependent; OR 2.81, 95% CI 2.22-3.56), and operative approach (open surgery; OR 1.70, 95% CI 1.51-1.93). The model demonstrated good discrimination (AUC = 0.73). A clinical risk score was developed, and the risk of requiring postoperative Intensive Care Resource Utilization ranged from 0.03 (0 points) to 19.0% (8 points). The model performed well on test set validation (AUC = 0.73).

conclusionA prediction model and clinical risk score for postoperative Intensive Care Resource Utilization after colon cancer surgery was developed and validated.

Indexed as

ColectomyCOVID-19Patient SelectionAdultAgedAge FactorsClinical Decision RulesColonic NeoplasmsComorbidityCritical CareDatabases, FactualElective Surgical ProceduresFemaleHumansIntensive Care UnitsMaleColon cancerCOVID-19Intensive care unitSurgery

Identifiers

PMID32495141
PMCPMC7269615

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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.