Evidence map›Paper›PMID 35116470›Full record

ArticleTranslational cancer research2021

CXCR3 expression as a prognostic factor in gastric cancer: a meta-analysis.

Hyun Min Koh, Chang Lim Hyun, Bo Gun Jang, Hyun Ju Lee

Open access · diamondAbstract read
In one paragraph

Article in Translational cancer research, 2021. 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
2.0field-weighted citation impact, top 11% 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, 18 citations in OpenAlex.

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  2. SubvertingBiology · 2024
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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 3 institutions in 1 country.

Hyun Min KohDepartment of Pathology, Gyeongsang National University Changwon Hospital, Changwon, Republic of Korea.
Chang Lim HyunDepartment of Pathology, Jeju National University School of Medicine, Jeju, Republic of Korea.
Bo Gun JangDepartment of Pathology, Jeju National University School of Medicine, Jeju, Republic of Korea.
Hyun Ju LeeDepartment of Pathology, Soonchunhyang University College of Medicine, Cheonan, Republic of Korea.
Jeju National University Hospital · KRChangwon National University · KRSoonchunhyang University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCXC chemokine receptor 3 (CXCR3) plays a critical role in tumorigenesis, and CXCR3 expression is associated with prognosis in many cancers. Recently, CXCR3 expression is recognized as a potential prognostic factor for patients with gastric cancer. In this study, we analyzed the prognostic significance of CXCR3 expression in gastric cancer.

methodsWe conducted a meta-analysis after selecting eligible studies through a literature search. We calculated pooled results to assess the associations between CXCR3 expression and overall survival (OS) and clinicopathological factors for gastric cancer.

resultsThe pooled hazard ratio (HR) with 95% confidence interval (CI) between high expression of CXCR3 and OS was 0.46 (95% CI 0.30-0.71, P<0.001), suggesting that high expression of CXCR3 was associated with a favorable OS. High expression of CXCR3 was significantly correlated with younger age [odds ratio (OR) 0.67, 95% CI: 0.49-0.91, P=0.011], lower tumor grade (OR 0.46, 95% CI: 0.29-0.73, P=0.001), absence of lymph node metastasis (OR 0.47, 95% CI: 0.31-0.71, P<0.001), and lower Tumor-Node-Metastasis stage (OR 0.51, 95% CI: 0.35-0.74, P<0.001).

conclusionsHigh expression of CXCR3 was associated with better survival and may be a potential prognostic factor for patients with gastric cancer patients.

Indexed as

CXC chemokine receptor 3 (CXCR3)gastric cancermeta-analysisprognosis

Identifiers

PMID35116470
PMCPMC8799302
OpenAlexW3148277600

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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.