Evidence map›Paper›PMID 35611170›Full record

ArticlePeerJ2022

Association of multiple tumor markers with newly diagnosed gastric cancer patients: a retrospective study.

Xiaoyang Li, Sifeng Li, Zhenqi Zhang, Dandan Huang

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.0field-weighted citation impact, top 7% 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

13 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
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  9. Article
  10. Circulating Proteins as Diagnostic Markers in Gastric Cancer.International journal of molecular sciences · 2023
    Review
  11. Article
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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

4 authors at 2 institutions in 1 country.

Xiaoyang Li *Department of Medical Equipment, Sichuan Cancer Hospital, Chengdu, Sichuan, China.
Sifeng Li *Department of Medical, West China Tianfu Hospital, Sichuan University, Chengdu, Sichuan, China.
Zhenqi ZhangDepartment of Medical Equipment, Sichuan Cancer Hospital, Chengdu, Sichuan, China.
Dandan HuangDepartment of Medical Equipment, Sichuan Cancer Hospital, Chengdu, Sichuan, China.ORCID 0000-0002-6464-4783
Sichuan Cancer Hospital · CNSichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The purpose of this paper was to explore the correlation between multiple tumor markers and newly diagnosed gastric cancer. Methods: We selected 268 newly diagnosed patients with gastric cancer and 209 healthy subjects for correlation research. The detection of multiple tumor markers was based on protein chips and the results were statistically analyzed using SPSS. Results: We concluded that gastric cancer was significantly related to gender, age, alpha fetoprotein (AFP), carcinoembryonic antigen (CEA), carbohydrate antigen 125 (CA125), carbohydrate antigen 199 (CA199), and carbohydrate antigen 242 (CA242) positive levels ( Conclusion: Our research shows that gastric cancer is associated with age, gender, and the positive levels of AFP, CEA, CA125, CA199, and CA242. The positive levels of AFP and CA125 were related to the distant metastasis of gastric cancer. To a certain extent, the combined detection sensitivity can be used for the initial screening of gastric cancer.

Indexed as

Biomarkers, TumorStomach Neoplasmsalpha-FetoproteinsCA-125 AntigenCarbohydratesCarcinoembryonic AntigenFemaleHumansMaleMiddle AgedPrognosisRetrospective Studiesalpha-FetoproteinsBiomarkers, TumorCA-125 AntigenCarbohydratesCarcinoembryonic AntigenCMH testGastric cancerLogistic regression analysisMultiple tumor markers

Identifiers

PMID35611170
PMCPMC9124459
OpenAlexW4280582223

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.