Evidence map›Paper›PMID 36149446›Full record

ArticleInternational journal of colorectal disease2022

Development and validation of a prognostic nomogram for patients with stage II colon mucinous adenocarcinoma.

Jia Huang, Yiwei Zhang, Jia Zhou, Min Fang, Xiaofeng Wu, Yuhang Luo, Qiulin Huang, Yujuan Ouyang, Shuai Xiao

Abstract read
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In one paragraph

Article in International journal of colorectal disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 45% of its field
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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Jia Huang *The First Affiliated Hospital, Cancer Research Institute, Hengyang Medical School, University of South China, Hengyang, Hunan, People's Republic of China.
Yiwei Zhang *The First Affiliated Hospital, Cancer Research Institute, Hengyang Medical School, University of South China, Hengyang, Hunan, People's Republic of China.
Jia Zhou *The First Affiliated Hospital, Cancer Research Institute, Hengyang Medical School, University of South China, Hengyang, Hunan, People's Republic of China.
Min FangThe First Affiliated Hospital, Department of Gastrointestinal Surgery, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, People's Republic of China.
Xiaofeng WuThe First Affiliated Hospital, Cancer Research Institute, Hengyang Medical School, University of South China, Hengyang, Hunan, People's Republic of China.
Yuhang LuoThe First Affiliated Hospital, Cancer Research Institute, Hengyang Medical School, University of South China, Hengyang, Hunan, People's Republic of China.
Qiulin HuangThe First Affiliated Hospital, Department of Gastrointestinal Surgery, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, People's Republic of China. 1907722730@qq.com.
Yujuan OuyangNuclear Industrial Hygiene School, University of South China, Hengyang, Hunan, 421001, People's Republic of China. oyyj655882@126.com.
Shuai XiaoThe First Affiliated Hospital, Cancer Research Institute, Hengyang Medical School, University of South China, Hengyang, Hunan, People's Republic of China. xiaoshuai1982@hotmail.com.
University of South China · CN

Funding

Natural Science Foundation of Hunan Province 2022JJ30538Science and Technology Program of Hunan Province 2020SK51815the National Natural Sciences Foundation of China 31900561the Scientific Research Fund Project of Hunan Provincial Health Commission 20201919
6 · The paper itself

Abstract

purposeMucinous histology is generally considered as a risk factor of prognosis in stage II colon cancer, but there is no appropriate model for prognostic evaluation and treatment decision in patients with stage II colon mucinous adenocarcinoma (C-MAC) Thus, it is urgent to develop a comprehensive, individualized evaluation tool to reflect the heterogeneity of stage II C-MAC.

methodsPatients with stage II C-MAC who underwent surgical treatment in the Surveillance, Epidemiology, and End Results Program were enrolled and randomly divided into training cohort (70%) and internal validation cohort (30%). Prognostic predictors which were determined by univariate and multivariate analysis in the training cohort were included in the nomogram. The calibration curves, decision curve analysis, X-tile analysis, and Kaplan-Meier curve of the nomogram were validated in the internal validation cohort.

resultsThree thousand seven hundred sixty-two patients of stage II C-MAC were enrolled. The age, pathological T (pT) stage, tumor number, serum carcinoembryonic antigen (CEA), and perineural invasion (PNI) were independent predictors of overall survival (OS), which were used to establish a nomogram. Calibration curves of the nomogram indicated good consistency between nomogram prediction and actual survival for 1-, 3- and 5-year OS. Besides, patients with stage II C-MAC could be divided into high-, middle-, and low-risk subgroups by the nomogram. Further subgroup analysis indicated that patients in the high-risk group could have a survival benefit from chemotherapy after surgical treatment.

conclusionsWe established the first nomogram to accurately predict the survival of stage II C-MAC patients who underwent surgical treatment. In addition, the nomogram identified low-, middle-, and high-risk subgroups of patients and found chemotherapy might improve survival in the high-risk subgroup of stage II C-MAC patients.

Indexed as

Adenocarcinoma, MucinousColonic NeoplasmsCarcinoembryonic AntigenHumansNeoplasm StagingNomogramsPrognosisSEER ProgramCarcinoembryonic AntigenColon cancerMucinous adenocarcinomaNomogramPrognosisSurvival

Identifiers

PMID36149446
OpenAlexW4296799650

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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.