Evidence map›Paper›PMID 33289705›Full record

ArticleAging2020

Development and validation of prognostic nomograms for early-onset locally advanced colon cancer.

Yuqiang Li, Wenxue Liu, Zhongyi Zhou, Heming Ge, Lilan Zhao, Heli Liu, Xiangping Song, Dan Wang, Qian Pei, Fengbo Tan

Abstract readValidation Study
In one paragraph

Article in Aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing 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.

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

23 citing papers in PubMed, 1 synthesis or guideline 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

10 authors.

Yuqiang LiDepartment of Gastrointestinal Surgery, Xiangya Hospital, Central South University, Changsha, China.
Wenxue LiuDepartment of Rheumatology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Zhongyi ZhouDepartment of Gastrointestinal Surgery, Xiangya Hospital, Central South University, Changsha, China.
Heming GeDepartment of Gastrointestinal Surgery, Xiangya Hospital, Central South University, Changsha, China.
Lilan ZhaoDepartment of Thoracic surgery, Fujian Provincial Hospital, Fuzhou, China.
Heli LiuDepartment of Gastrointestinal Surgery, Xiangya Hospital, Central South University, Changsha, China.
Xiangping SongDepartment of Gastrointestinal Surgery, Xiangya Hospital, Central South University, Changsha, China.
Dan WangDepartment of Gastrointestinal Surgery, Xiangya Hospital, Central South University, Changsha, China.
Qian PeiDepartment of Gastrointestinal Surgery, Xiangya Hospital, Central South University, Changsha, China.
Fengbo TanDepartment of Gastrointestinal Surgery, Xiangya Hospital, Central South University, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe incidence of colorectal cancer in patients younger than 50 years has been increasing in recent years.

objectiveDevelop and validate prognostic nomograms predicting overall survival (OS) and cancer-specific survival (CSS) for early-onset locally advanced colon cancer (EOLACC) based on the Surveillance, Epidemiology, and End Results (SEER) database.

resultsThe entire cohort comprised 13,755 patients with EOLACC. The nomogram predicting OS for EOLACC displayed that T stage contributed the most to prognosis, followed by N stage, regional nodes examined (RNE) and surgery. The nomogram predicting CSS for EOLACC demonstrated similar results. Various methods identified the discriminating superiority of the nomograms. X-tile software was used to classify patients into high-risk, medium-risk, and low-risk according to the risk score of the nomograms. The risk stratification effectively avoided the survival paradox.

conclusionsWe established and validated nomograms for predicting OS and CSS based on a national cohort of almost 13,000 EOLACC patients. The nomograms could effectively solve the issue of survival paradox of the AJCC staging system and be an excellent tool to integrate the clinical characteristics to guide the therapeutic choice for EOLACC patients.

methodsNomograms were constructed based on the SEER database and the Cox regression model.

Indexed as

NomogramsAdenocarcinomaAdenocarcinoma, MucinousAdolescentAdultAntineoplastic AgentsBlack or African AmericanCarcinoembryonic AntigenCarcinoma, Signet Ring CellColectomyColonic NeoplasmsEthnicityFemaleHumansLymph Node ExcisionMaleAntineoplastic AgentsCarcinoembryonic Antigencancer-specific survivalearly-onset colon cancerlocally advanced colon cancernomogramoverall survival

Identifiers

PMID33289705
PMCPMC7834989

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.