Evidence map›Paper›PMID 29378647›Full record

ArticleBMC health services research2018

Validity of the CR-POSSUM model in surgery for colorectal cancer in Spain (CCR-CARESS study) and comparison with other models to predict operative mortality.

Marisa Baré, Manuel Jesús Alcantara, Maria José Gil, Pablo Collera, Marina Pont, Antonio Escobar, Cristina Sarasqueta, Maximino Redondo, Eduardo Briones, Paula Dujovne and 2 more

Registry-linked trialAbstract readComparative StudyMulticenter StudyValidation Study
In one paragraph

Article in BMC health services research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02488161 (Risk Factors of Adverse Outcomes at Short and Medium Term, and Development of Predictive Models, in Patients With Colorectal Cancer. IRYSS-coordinated Multicenter Study), which is not on this map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 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.

NCT02488161 completednot on this map

Risk Factors of Adverse Outcomes at Short and Medium Term, and Development of Predictive Models, in Patients With Colorectal Cancer. IRYSS-coordinated Multicenter Study

TypeobservationalSponsorHospital Galdakao-UsansoloRan2010 to 2015Enrolled2,600ConditionsColorectal CancerArmsNo intervention
3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

12 authors.

Marisa BaréClinical Epidemiology and Cancer Screening, Parc Taulí Sabadell-University Hospital, Parc Taulí 1, 08208, Sabadell, Spain. mbare@tauli.cat.
Manuel Jesús AlcantaraColoproctology Unit, General and Digestive Surgery Service, Parc Taulí Sabadell- University Hospital, Sabadell, Spain.
Maria José GilGeneral and Digestive Surgery Service, Parc de Salut Mar, Barcelona, Spain.
Pablo ColleraGeneral and Digestive Surgery Service, Althaia - Xarxa Assistencial Universitaria, Manresa, Spain.
Marina PontClinical Epidemiology and Cancer Screening, Parc Taulí Sabadell-University Hospital, Parc Taulí 1, 08208, Sabadell, Spain.
Antonio EscobarResearch Unit, Hospital Universitario Basurto, Bilbao, Spain.
Cristina SarasquetaUnidad de Investigación, Hospital Universitario Donostia/Instituto de Investigación Sanitaria Biodonostia, Donostia, Spain.
Maximino RedondoResearch Unit, Agencia Sanitaria Costa del Sol, Marbella, Spain.
Eduardo BrionesUnidad de Epidemiología. Distrito Sevilla, Servicio Andaluz de Salud, Sevilla, Spain.
Paula DujovneServicio de Cirugía General y del Aparato Digestivo, Hospital Universitario Fundación Alcorcón, Madrid, Spain.
Jose Maria QuintanaResearch Unit, Hospital Galdakao-Usansolo, Galdakao, Spain.
CARESS-CCR Study Group

Funding

Instituto de Salud Carlos III PS09/00805, PI09/90441, PS09/00314, PS09/00910, PS09/00746, PI09/90460, PI09/90490, PI09/90397, PI09/90453Istituto de Salud Carlos III thematic networks - REDISSEC (Health Services Research on Chronic Diseases Network (RD12/0001/0007)KRONIKGUNE -Centro de Investigación en Cronicidad KRONIK 11/006The Department of Health of the Basque Country 2010111098
6 · The paper itself

Abstract

backgroundTo validate and recalibrate the CR- POSSUM model and compared its discriminatory capacity with other European models such as POSSUM, P-POSSUM, AFC or IRCS to predict operative mortality in surgery for colorectal cancer.

methodsProspective multicenter cohort study from 22 hospitals in Spain. We included patients undergoing planned or urgent surgery for primary invasive colorectal cancers between June 2010 and December 2012 (N = 2749). Clinical data were gathered through medical chart review. We validated and recalibrated the predictive models using logistic regression techniques. To calculate the discriminatory power of each model, we estimated the areas under the curve - AUC (95% CI). We also assessed the calibration of the models by applying the Hosmer-Lemeshow test.

resultsIn-hospital mortality was 1.5% and 30-day mortality, 1.7%. In the validation process, the discriminatory power of the CR-POSSUM for predicting in-hospital mortality was 73.6%. However, in the recalibration process, the AUCs improved slightly: the CR-POSSUM reached 75.5% (95% CI: 67.3-83.7). The discriminatory power of the CR-POSSUM for predicting 30-day mortality was 74.2% (95% CI: 67.1-81.2) after recalibration; among the other models the POSSUM had the greatest discriminatory power, with an AUC of 77.0% (95% CI: 68.9-85.2). The Hosmer-Lemeshow test showed good fit for all the recalibrated models.

conclusionThe CR-POSSUM and the other models showed moderate capacity to discriminate the risk of operative mortality in our context, where the actual operative mortality is low. Nevertheless the IRCS might better predict in-hospital mortality, with fewer variables, while the CR-POSSUM could be slightly better for predicting 30-day mortality. TRAIL REGISTRATION: Registered at: ClinicalTrials.gov Identifier: NCT02488161.

Indexed as

HospitalsAdultAgedAged, 80 and overColorectal NeoplasmsFemaleHospital MortalityHumansLogistic ModelsMaleMiddle AgedPredictive Value of TestsProspective StudiesReproducibility of ResultsRisk AssessmentROC CurveColorectal cancerCr-possumOperative mortalityPredictive model

Identifiers

PMID29378647
PMCPMC5789585

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Registered trials

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.