Evidence map›Paper›PMID 32027098›Full record

ArticleCancer medicine2020

Nomogram for predicting overall survival in stage II-III colorectal cancer.

Jungang Liu, Xiaoliang Huang, Wenkang Yang, Chan Li, Zhengtian Li, Chuqiao Zhang, Shaomei Chen, Guo Wu, Weishun Xie, Chunyin Wei and 5 more

Abstract read
In one paragraph

Article in Cancer medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing 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

47 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  6. Mean Platelet Volume Is a Poor Prognostic Factor in Patients Undergoing Liver Transplantation for Hepatocellular Carcinoma.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2025
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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

15 authors.

Jungang LiuDepartment of Gastrointestinal Surgery, Division of Colorectal & Anal Surgery, Guangxi Medical University Cancer Hospital, Nanning, Guangxi Zhuang Autonomous Region, P.R. China.
Xiaoliang HuangDepartment of Gastrointestinal Surgery, Division of Colorectal & Anal Surgery, Guangxi Medical University Cancer Hospital, Nanning, Guangxi Zhuang Autonomous Region, P.R. China.
Wenkang YangDepartment of Gastrointestinal Surgery, Division of Colorectal & Anal Surgery, Guangxi Medical University Cancer Hospital, Nanning, Guangxi Zhuang Autonomous Region, P.R. China.
Chan LiDepartment of Gastrointestinal Surgery, Division of Colorectal & Anal Surgery, Guangxi Medical University Cancer Hospital, Nanning, Guangxi Zhuang Autonomous Region, P.R. China.
Zhengtian LiDepartment of Gastrointestinal Surgery, Division of Colorectal & Anal Surgery, Guangxi Medical University Cancer Hospital, Nanning, Guangxi Zhuang Autonomous Region, P.R. China.
Chuqiao ZhangDepartment of Gastrointestinal Surgery, Division of Colorectal & Anal Surgery, Guangxi Medical University Cancer Hospital, Nanning, Guangxi Zhuang Autonomous Region, P.R. China.
Shaomei ChenDepartment of Gastrointestinal Surgery, Division of Colorectal & Anal Surgery, Guangxi Medical University Cancer Hospital, Nanning, Guangxi Zhuang Autonomous Region, P.R. China.
Guo WuDepartment of Gastrointestinal Surgery, Division of Colorectal & Anal Surgery, Guangxi Medical University Cancer Hospital, Nanning, Guangxi Zhuang Autonomous Region, P.R. China.
Weishun XieDepartment of Gastrointestinal Surgery, Division of Colorectal & Anal Surgery, Guangxi Medical University Cancer Hospital, Nanning, Guangxi Zhuang Autonomous Region, P.R. China.
Chunyin WeiDepartment of Gastrointestinal Surgery, Division of Colorectal & Anal Surgery, Guangxi Medical University Cancer Hospital, Nanning, Guangxi Zhuang Autonomous Region, P.R. China.
Chao TianDepartment of Gastrointestinal Surgery, Division of Colorectal & Anal Surgery, Guangxi Medical University Cancer Hospital, Nanning, Guangxi Zhuang Autonomous Region, P.R. China.
Lingxu HuangDepartment of Gastrointestinal Surgery, Division of Colorectal & Anal Surgery, Guangxi Medical University Cancer Hospital, Nanning, Guangxi Zhuang Autonomous Region, P.R. China.
Franco JeenDepartment of Gastrointestinal Surgery, Division of Colorectal & Anal Surgery, Guangxi Medical University Cancer Hospital, Nanning, Guangxi Zhuang Autonomous Region, P.R. China.
Xianwei MoDepartment of Gastrointestinal Surgery, Division of Colorectal & Anal Surgery, Guangxi Medical University Cancer Hospital, Nanning, Guangxi Zhuang Autonomous Region, P.R. China.
Weizhong TangDepartment of Gastrointestinal Surgery, Division of Colorectal & Anal Surgery, Guangxi Medical University Cancer Hospital, Nanning, Guangxi Zhuang Autonomous Region, P.R. China.ORCID 0000-0003-0877-8557

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe overall survival (OS) of patients diagnosed with stage II-III colorectal cancer (CRC) can vary greatly, even between patients with the same tumor stage. We aimed to design a nomogram to predict OS in resected, stage II-III CRC and stratify patients with CRC into different risk groups. PATIENTS AND

methodsBased on data from 873 patients with CRC, we used univariate Cox regression analysis to select the significant prognostic features, which were subjected to the least absolute shrinkage and selection operator (LASSO) regression algorithm for feature selection. Cross-validation was used to confirm suitable tuning parameters (λ) for LASSO logistic regression. Then, the nomogram was used to estimate 3- and 5-year OS based on the multivariable Cox regression model. The survival curves of the two groups were produced using the Kaplan-Meier method. Risk group stratification was performed to assess the predictive capacity of the nomogram.

resultsPreoperative mean platelet volume, preoperative platelet distribution width, monocytes, and postoperative adjuvant chemotherapy were identified as independent prognostic factors by LASSO regression and integrated for the construction of the nomogram. The nomogram provided good discrimination, with C-indices of 0.67 and 0.69 for the training and validation sets, respectively. Calibration plots illustrated excellent agreement between the nomogram predictions and actual observations for 3- and 5-year OS. Moreover, a significant difference in OS was shown between patients stratified into different risk groups (P < .001).

conclusionWe constructed and validated an original predictive nomogram for OS in patients with CRC after surgery, facilitating physicians to appraise the individual survival of postoperative patients accurately and identify high-risk patients who need more aggressive treatment and follow-up strategies.

Indexed as

NomogramsAgedAntineoplastic Combined Chemotherapy ProtocolsColorectal NeoplasmsFemaleFollow-Up StudiesHumansMaleMiddle AgedNeoplasm StagingRetrospective StudiesRisk FactorsSEER ProgramSurvival Ratecolorectal cancernomogramprognosissurvival

Identifiers

PMID32027098
PMCPMC7131840

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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.