Evidence map›Paper›PMID 28028765›Full record

ArticleJournal of gastrointestinal cancer2018

An Alternative Method for Screening Gastric Cancer Based on Serum Levels of CEA, CA19-9, and CA72-4.

Junxiu Yu, Wanlei Zheng

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Article in Journal of gastrointestinal cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–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

27 citing papers in PubMed.

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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

2 authors.

Junxiu YuDepartment of Gastrointestinal Surgery, Liaocheng People's Hospital and Liaocheng Clinical School of Taishan Medical University, Liaocheng, People's Republic of China. yujxcn@hotmail.com.
Wanlei ZhengDepartment of Gastrointestinal Surgery, Liaocheng People's Hospital and Liaocheng Clinical School of Taishan Medical University, Liaocheng, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe goal of this study was to create a novel method for screening gastric cancer (GC) based on serum levels of carcinoembryonic antigen (CEA), cancer antigen 19-9 (CA19-9), and cancer antigen 72-4 (CA72-4) tumor markers.

methodsRetrospectively, the predictive value for GC was calculated using a logistic analysis on serum levels of CEA, CA19-9, and CA72-4 from 216 GC and 49 benign patients. The predictive value was used to make a recommendation system on whether further GC screening was necessary. Prospectively, 80 GC and 33 benign patients were used to assess the value of this method.

resultsThe recommendation system to determine whether additional GC screening was necessary consisted of three grades: grade I, no proposals; grade II, proposals; grade III, strong proposals. Additional screening was suggested when the predictive value was ≤0.700 (grade I), 0.700-0.850 (grade II), and >0.850 (grade III). Of the total 216 GC patients, 20.4, 27.8, and 51.9% were classified as grades I, II, and III, respectively. Of the 49 benign cases, 57.1, 32.7, and 10.2% were classified as grades I, II, and III, respectively. Of the 80 prospective GC patients, 17.3, 28.4, and 54.3% were classified as grades I, II, and III, respectively. Of the 33 prospective benign cases, 54.6, 33.3, and 12.1% were classified as grades I, II, and III, respectively.

conclusionThe new screening recommendation system based on serum levels of CEA, CA19-9, and CA72-4 is an effective approach for detecting GC.

Indexed as

AdultAgedAged, 80 and overAntigens, Tumor-Associated, CarbohydrateCA-19-9 AntigenCarcinoembryonic AntigenEarly Detection of CancerFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesStomach NeoplasmsYoung AdultAntigens, Tumor-Associated, CarbohydrateCA-19-9 AntigenCA-72-4 antigenCarcinoembryonic AntigenCA19-9CA72-4CEAMass screeningStomach neoplasmsTumor markers

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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.