Evidence map›Paper›PMID 33456994›Full record

ArticleJournal of gastrointestinal oncology2020

Nomogram model characterized by mutant genes and clinical indexes to identify high-risk patients with stage III/IV colorectal cancer.

Kai Liu, Cui Wang, Jiefu Wang, Yang Zhan, Xin Yue, Dalu Kong

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of gastrointestinal oncology, 2020. 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
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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Identification and validation of a CD4BMC gastroenterology · 2025
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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Kai LiuDepartment of Colorectal Cancer, Key Laboratory of Cancer Prevention and Therapy of Tianjin, Tianjin's Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Cui WangDepartment of Colorectal Cancer, Key Laboratory of Cancer Prevention and Therapy of Tianjin, Tianjin's Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Jiefu WangDepartment of Colorectal Cancer, Key Laboratory of Cancer Prevention and Therapy of Tianjin, Tianjin's Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Yang ZhanDepartment of Colorectal Cancer, Key Laboratory of Cancer Prevention and Therapy of Tianjin, Tianjin's Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Xin YueDepartment of Colorectal Cancer, Key Laboratory of Cancer Prevention and Therapy of Tianjin, Tianjin's Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Dalu KongDepartment of Colorectal Cancer, Key Laboratory of Cancer Prevention and Therapy of Tianjin, Tianjin's Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of the present study was to construct a nomogram model of high-risk stage III/IV colorectal cancer (CRC).

methodsGene mutation and clinical information of 251 CRC patients were downloaded from The Cancer Genome Atlas (TCGA). Targeted next-generation sequencing was performed on 44 patients to screen shared mutation genes with frequency >5% between TCGA and clinical cohorts. Univariable and multivariable logistic regression analyses were used to analyze the mutant genes and clinical indexes, and a high-risk stage III/IV nomogram model was constructed. The nomogram model was further validated in the clinical cohort.

resultsSMAD family member 4 (

conclusionsWe established a nomogram model, including the mutation status of

Indexed as

clinical indexColorectal cancer (CRC)gene mutationnomogram modelstage III/IV

Identifiers

PMID33456994
PMCPMC7807269

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