Evidence map›Paper›PMID 37610320›Full record

ArticleMilitary medicine2024

Gastric Cancer Risk Factors in a Veteran Population.

Kush Fansiwala, Yingzhi Qian, Peter S Liang

Open access · hybridAbstract read
In one paragraph

Article in Military medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.5field-weighted citation impact, top 29% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

3 authors at 3 institutions in 1 country.

Kush FansiwalaDepartment of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA.ORCID 0000-0003-2019-8002
Yingzhi QianDepartment of Population Health, NYU Langone Health, New York, NY 10016, USA.
Peter S LiangDepartment of Population Health, NYU Langone Health, New York, NY 10016, USA.ORCID 0000-0002-4160-421X
NYU Langone Health · USUniversity of California, Los Angeles · USVA NY Harbor Healthcare System · US

Funding

Longitudinal Adherence to Colorectal Cancer Screening in the VAK08CA230162 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI LIANG, PETER SHUANG · 2019 to 2023
$1.1M
NCI NIH HHS K08 CA230162
6 · The paper itself

Abstract

introductionRisk factors for gastric cancer in the United States are not well understood, especially in populations with a low proportion of immigrants. We conducted a matched case-control study in a Veteran Affairs Medical Center to identify risk factors for gastric cancer. MATERIALS AND

methodsGastric cancer patients and age- and sex-matched controls were identified in a 1:4 ratio from January 1, 1997 to October 31, 2018. Demographic, medical, endoscopic, and histologic data were extracted. We performed conditional logistic regression to estimate odds ratios and 95% CIs for associations between potential risk factors and gastric cancer.

resultsMost gastric cancer cases were diagnosed on initial endoscopy (71.4%). Of these, the most common presenting stage was stage IV (40.8%). Risk factors for gastric cancer included Black and Asian race and never or current (compared to former) drinkers, although Helicobacter pylori eradication and pernicious anemia were associated with decreased risk.

conclusionsThe high proportion of late-stage gastric cancer diagnoses highlights the need for improved risk stratification as well as screening and surveillance protocols in the U.S. population. Racial disparities among veterans in an equal-access system necessitate further investigation into the etiology of these disparities.

Indexed as

Stomach NeoplasmsVeteransCase-Control StudiesHumansLogistic ModelsRisk FactorsUnited States

Identifiers

PMID37610320
PMCPMC13396147
OpenAlexW4386084501

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.