Evidence map›Paper›PMID 32821170›Full record

ArticleCancer management and research2020

Performance of a Nomogram Based on the Integration of Inflammation Markers with Tumor Staging in Prognosis Prediction of Stage III Colorectal Cancer.

Lin Wang, Jun Xiao, Min-Zhe Li, Wen-Hao Teng, Jing Jia, Lu Lin, Sheng Liu, Xing-Ming Ye, Wei-Dong Zang, Ying Chen

Open access · goldAbstract read
In one paragraph

Article in Cancer management and research, 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
0.2field-weighted citation impact, top 48% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Review
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 at 3 institutions in 1 country.

Lin Wang *Central Laboratory, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou 350000, People's Republic of China.
Jun Xiao *Department of Gastrointestinal Surgery, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou 350000, People's Republic of China.
Min-Zhe LiGeneral Surgery Department, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100000, People's Republic of China.
Wen-Hao TengDepartment of Gastrointestinal Surgery, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou 350000, People's Republic of China.
Jing JiaCentral Laboratory, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou 350000, People's Republic of China.
Lu LinCentral Laboratory, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou 350000, People's Republic of China.
Sheng LiuDepartment of Gastrointestinal Surgery, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou 350000, People's Republic of China.
Xing-Ming YeCentral Laboratory, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou 350000, People's Republic of China.
Wei-Dong ZangDepartment of Gastrointestinal Surgery, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou 350000, People's Republic of China.
Ying ChenCentral Laboratory, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou 350000, People's Republic of China.
Fujian Provincial Cancer Hospital · CNFujian Medical University · CNCapital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe aim of the present study was to evaluate a nomogram model for predicting the 5-year overall survival (OS) in lymph node-metastatic colorectal cancer (CRC) patients by combining inflammation markers with some traditional prognostic factors.

methodsA total of 399 patients with stage III (pT

resultsBoth NLR (

conclusionA nomogram based on the integration of traditional prognostic factors and inflammatory markers (NLR and PLR) could provide more precise long-term prognosis information for lymph node-metastatic CRC patients than the model based on traditional profile alone. This model might be useful for clinical application in personalized evaluation.

Indexed as

colorectal cancerlymph node metastasisnomogramprognosisTNM staging system

Identifiers

PMID32821170
PMCPMC7423355
OpenAlexW3047684719

What OpenQuestion holds

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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.