ArticleFrontiers in oncology2026
Stratification of gastric cancer risk based on family history with cost-effectiveness of opportunistic endoscopic screening: a hospital-based cross-sectional study (SIGES).
Article in Frontiers in oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: The strategy for opportunistic endoscopic screening driven by family history of gastric cancer needs to be optimized in a tailored manner through further risk stratification. Methods: A hospital-based cross-sectional study included health check-up controls and gastric cancer patients at West China Hospital, Sichuan University. Demographic characteristics, comorbidities, family history of malignancies, and serology were analyzed for associations with gastric cancer risk. Associations between family history of gastric cancer and incident gastric cancer risk were assessed, and a rapid cost-effectiveness analysis was performed. Results: In total, 58,218 observations were analyzed, including 619 gastric cancer patients. Family history of gastric cancer was an independent risk factor for gastric cancer (adjusted odds ratio [aOR] = 5.59, 95% CI 3.81-8.20) and was associated with an increased risk of upper digestive tract benign comorbidities (aOR = 1.51, 95% CI 1.09-2.71). For persons with a family history of gastric cancer who were older than 40 years (odds ratio [OR] = 2.36, 95% CI 1.29-4.32), endoscopic screening could be mildly recommended in general practice. Endoscopic screening should be moderately recommended for those with a family history of gastric cancer if they were older than 60 years (OR = 8.90, 95% CI 3.84-20.61) and strongly recommended if they also had upper digestive tract benign comorbidities (OR = 16.78, 95% CI 7.03-40.06), seropositivity for carcinoembryonic antigen (CEA) and/or carbohydrate antigen 19-9 (CA19-9) (OR = 20.77, 95% CI 9.15-47.14), or anemia (OR = 80.11, 95% CI 33.07-194.05). A rapid cost-effectiveness analysis indicated that moderate-to-strong recommendations were preferred, but based on willingness-to-pay considerations, mild-to-strong recommendations had a considerable detection rate for gastric cancer. Sensitivity analysis yielded consistent findings for decision-making. Conclusions: Family history of gastric cancer is an independent risk factor for gastric cancer. Optimized risk stratification based on family history can improve the cost-effectiveness of detecting gastric cancer. The mechanism by which a family history of gastric cancer increases gastric cancer risk and a more tailored family history-driven endoscopic screening strategy require further investigation.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.