Evidence map›Paper›PMID 33238958›Full record

ArticleBMC cancer2020

Prediction of mortality in metastatic colorectal cancer in a real-life population: a multicenter explorative analysis.

Holger Rumpold, Dora Niedersüß-Beke, Cordula Heiler, David Falch, Helwig Valenting Wundsam, Sigrid Metz-Gercek, Gudrun Piringer, Josef Thaler

Abstract readMulticenter Study
In one paragraph

Article in BMC cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
82citing 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

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

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  4. First-line treatment efficacy and prognostic model in RAS-mutant metastatic colorectal cancer: a real-world study.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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22 more citing papers are in PubMed but not listed here.

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

8 authors.

Holger RumpoldGastrointestinal Cancer Center, Ordensklinikum Linz, Seilerstaette 4, 4010, Linz, Austria. holger.rumpold@ordensklinikum.at.ORCID http://orcid.org/0000-0002-4118-0111
Dora Niedersüß-BekeDepartment of Internal Medicine I, Wilhelminenspital, Vienna, Austria.
Cordula HeilerDepartment of Internal Medicine I, Wilhelminenspital, Vienna, Austria.
David FalchDepartment of Internal Medicine I, Wilhelminenspital, Vienna, Austria.
Helwig Valenting WundsamDepartment of Surgery, Ordensklinikum Linz, Linz, Austria.
Sigrid Metz-GercekClinical Cancer Centre Upper Austria, Linz, Austria.
Gudrun PiringerDepartment of Internal Medicine IV, Hospital Wels-Grieskirchen, Wels, Austria.
Josef ThalerDepartment of Internal Medicine IV, Hospital Wels-Grieskirchen, Wels, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetastatic colorectal cancer (mCRC) remains a lethal disease. Survival, however, is increasing due to a growing number of treatment options. Yet due to the number of prognostic factors and their interactions, prediction of mortality is difficult. The aim of this study is to provide a clinical model supporting prognostication of mCRC mortality in daily practice.

methodsData from 1104 patients with mCRC in three prospective cancer datasets were used to construct and validate Cox models. Input factors for stepwise backward method variable selection were sex, RAS/BRAF-status, microsatellite status, treatment type (no treatment, systemic treatment with or without resection of metastasis), tumor load, location of primary tumor, metastatic patterns and synchronous or metachronous disease. The final prognostic model for prediction of survival at two and 3 years was validated via bootstrapping to obtain calibration and discrimination C-indices and dynamic time dependent AUC.

resultsAge, sidedness, number of organs with metastases, lung as only site of metastasis, BRAF mutation status and treatment type were selected for the model. Treatment type had the most prominent influence on survival (resection of metastasis HR 0.26, CI 0.21-0.32; any treatment vs no treatment HR 0.31, CI 0.21-0.32), followed by BRAF mutational status (HR 2.58, CI 1.19-1.59). Validation showed high accuracy with C-indices of 72.2 and 71.4%, and dynamic time dependent AUC's of 76.7 ± 1.53% (both at 2 or 3 years), respectively.

conclusionThe mCRC mortality prediction model is well calibrated and internally valid. It has the potential to support both, clinical prognostication for treatment decisions and patient communication.

Indexed as

NomogramsAgedColorectal NeoplasmsCombined Modality TherapyFemaleFollow-Up StudiesHumansMaleMiddle AgedNeoplasm MetastasisPrognosisProspective StudiesRetrospective StudiesSurvival RateMetastatic colorectal cancerMortalityNomogramPrognosisReal-life

Identifiers

PMID33238958
PMCPMC7691098

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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.