Evidence map›Paper›PMID 37501060›Full record

ArticleWorld journal of surgical oncology2023

Evaluation of multiple biological indicators for the combined diagnosis of metastases from colorectal cancer-a retrospective study based on 1163 patients.

Bangquan Chen, Jiajie Zhou, Yue Ma, Qiannan Sun, Jun Ren, Daorong Wang

Open access · goldAbstract read
In one paragraph

Article in World journal of surgical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Bangquan ChenNorthern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, 225001, China.
Jiajie ZhouGeneral Surgery Institute of Yangzhou, Yangzhou University, Yangzhou, 225001, China.
Yue MaGeneral Surgery Institute of Yangzhou, Yangzhou University, Yangzhou, 225001, China.
Qiannan SunGeneral Surgery Institute of Yangzhou, Yangzhou University, Yangzhou, 225001, China.
Jun RenGeneral Surgery Institute of Yangzhou, Yangzhou University, Yangzhou, 225001, China.
Daorong WangGeneral Surgery Institute of Yangzhou, Yangzhou University, Yangzhou, 225001, China. wdaorong666@sina.com.
Yangzhou University · CNNorthern Jiangsu People's Hospital · CN

Funding

This study was sponsored by Yangzhou City Science and Technology Project No.YZ2020159
6 · The paper itself

Abstract

objectiveThis study aimed to investigate the efficacy of inflammatory markers (NLR, PLR) combined with tumor markers (CA50, CA199, CEA) in the diagnosis of colorectal cancer metastasis by a single-center retrospective study.

methodsA total of 1163 CRC patients who received treatments in our hospital from January 2017 to December 2021 were enrolled retrospectively. Patients were grouped according to the absence of metastasis. The separate efficacy of tumor markers, NLR and PLR, was evaluated in the diagnosis of metastasis of colorectal cancer using ROC curve analysis, and their optimal cut-off values for distant metastases from colorectal cancer were determined. The area under the ROC curve (AUC) of the tumor markers combined with NLR and PLR was calculated by binary logistic regression analysis to evaluate the diagnostic efficacy of metastasis of colorectal cancer. In addition, patients were divided into two groups of high and low levels according to the optimal cut-off values, and the effects of NLR, PLR, and tumor markers on distant metastasis of colorectal cancer were evaluated using multiple logistic regression analysis.

resultThe abnormal rate of CA50, CA199, CEA, NLR, and PLR in two subgroupsIt was statistically significant (P < 0.05). After AUC testifying, the diagnostic efficacy of NLR and PLR was equivalent to that of tumor marker (P > 0.05). In assessment of liver metastasis, peritoneal metastasis, and multiple metastasis, AUC of NLR and PLR with CRC-specific tumor markers showed higher predictive efficacy than AUC without combined NLR nor PLR. The CA50, CA199, CEA, PLR, and NLR were proved independently associated with metastasis using multiple logistic regression analysis (P < 0.05).

conclusionNLR and PLR are noted tumor markers of colorectal cancer, which are characterized by noninvasive, high diagnostic efficacy, easy availability, and low cost. They can be combined with traditional tumor markers to evaluate and diagnose colorectal cancer metastasis by clinicians.

Indexed as

Colorectal NeoplasmsEnvironmental BiomarkersBiomarkers, TumorBlood PlateletsHumansLymphocytesNeutrophilsPlatelet CountPrognosisRetrospective StudiesBiomarkers, TumorEnvironmental BiomarkersBiological indicatorsColorectal cancerDiagnosisMetastases

Identifiers

PMID37501060
PMCPMC10375667
OpenAlexW4385296325

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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 OpenQuestion graph.