Evidence map›Paper›PMID 29953553›Full record

Trial reportPloS one2018

Predictors of one and two years' mortality in patients with colon cancer: A prospective cohort study.

José M Quintana, Ane Antón-Ladislao, Nerea González, Santiago Lázaro, Marisa Baré, Nerea Fernández-de-Larrea, Maximino Redondo, Eduardo Briones, Antonio Escobar, Cristina Sarasqueta and 3 more

Abstract readClinical TrialMulticenter Study
In one paragraph

Trial report in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. 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

13 authors.

José M QuintanaUnidad de Investigación, Hospital Galdakao-Usansolo, Galdakao, Bizkaia, Spain.ORCID 0000-0003-2170-7876
Ane Antón-LadislaoUnidad de Investigación, Hospital Galdakao-Usansolo, Galdakao, Bizkaia, Spain.
Nerea GonzálezUnidad de Investigación, Hospital Galdakao-Usansolo, Galdakao, Bizkaia, Spain.
Santiago LázaroRed de Investigación en Servicios Sanitarios y Enfermedades Crónicas (REDISSEC), Galdakao, Bizkaia, Spain.
Marisa BaréRed de Investigación en Servicios Sanitarios y Enfermedades Crónicas (REDISSEC), Galdakao, Bizkaia, Spain.
Nerea Fernández-de-LarreaCentro Nacional de Epidemiología, Instituto de Salud Carlos III, Madrid, Spain.
Maximino RedondoRed de Investigación en Servicios Sanitarios y Enfermedades Crónicas (REDISSEC), Galdakao, Bizkaia, Spain.
Eduardo BrionesCIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
Antonio EscobarRed de Investigación en Servicios Sanitarios y Enfermedades Crónicas (REDISSEC), Galdakao, Bizkaia, Spain.
Cristina SarasquetaRed de Investigación en Servicios Sanitarios y Enfermedades Crónicas (REDISSEC), Galdakao, Bizkaia, Spain.
Susana García-GutierrezUnidad de Investigación, Hospital Galdakao-Usansolo, Galdakao, Bizkaia, Spain.
Inmaculada ArósteguiRed de Investigación en Servicios Sanitarios y Enfermedades Crónicas (REDISSEC), Galdakao, Bizkaia, Spain.
REDISSEC-CARESS/CCR group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTools to aid in the prognosis assessment of colon cancer patients in terms of risk of mortality are needed. Goals of this study are to develop and validate clinical prediction rules for 1- and 2-year mortality in these patients.

methodsThis is a prospective cohort study of patients diagnosed with colon cancer who underwent surgery at 22 hospitals. The main outcomes were mortality at 1 and 2 years after surgery. Background, clinical parameters, and diagnostic tests findings were evaluated as possible predictors. Multivariable multilevel logistic regression and survival models were used in the analyses to create the clinical prediction rules. Models developed in the derivation sample were validated in another sample of the study.

resultsAmerican Society of Anesthesiologists Physical Status Classification System (ASA), Charlson comorbidity index (> = 4), age (>75 years), residual tumor (R2), TNM stage IV and log of lymph nodes ratio (> = -0.53) were predictors of 1-year mortality (C-index (95% CI): 0.865 (0.792-0.938)). Adjuvant chemotherapy was an additional predictor. Again ASA, Charlson Index (> = 4), age (>75 years), log of lymph nodes ratio (> = -0.53), TNM, and residual tumor were predictors of 2-year mortality (C-index:0.821 (0.766-0.876). Chemotherapy was also an additional predictor.

conclusionsThese clinical prediction rules show very good predictive abilities of one and two years survival and provide clinicians and patients with an easy and quick-to-use decision tool for use in the clinical decision process while the patient is still in the index admission.

Indexed as

Models, BiologicalAgedAged, 80 and overAge FactorsColonic NeoplasmsDisease-Free SurvivalFemaleFollow-Up StudiesHumansMalePredictive Value of TestsProspective StudiesSurvival Rate

Identifiers

PMID29953553
PMCPMC6023168

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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.