ArticleBMJ open2023
Determinants of gastric cancer screening attendance in Southeastern China: a cross-sectional study.
Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed.
- Knowledge, beliefs, perceived barriers, and previous upper gastrointestinal endoscopy use regardingFrontiers in public health · 2026Article
- Enhancing gastric ultrasound training with standardized patient-based drinking simulation: a self-controlled study.BMC medical education · 2025Article
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
objectivesThis study aimed to identify the determinants of gastric cancer screening attendance among individuals aged 40 years in a region with high gastric cancer in China.
designAn anonymous, cross-sectional survey was conducted between October 2021 and March 2022.
settingA self-administered online survey was conducted in Fujian Province in Southeastern China.
participantsPeople aged 40 years living in five selected cities in Fujian Province with no history of cancer.
main outcome measuresGastric cancer screening attendance was measured with the question 'Have you ever been screened for gastric cancer in the past'.
resultsIn total, 2547 complete responses were obtained. The mean age of respondents was 47.72±7.20 years, and 59.8% were men. A total of 42.6% of participants reported that they had undergone gastric cancer screening. The result of multivariable logistic regression analysis showed that participants with a first-degree relative affected with gastric cancer (OR=2.02, 95% CI: 1.58 to 2.59) and high perceived susceptibility of gastric cancer (OR=2.03, 95% CI: 1.58 to 2.59) were the strongest facilitators for screening attendance. Other factors positively associated with screening attendance were age 51-60 years (OR=1.69, 95% CI: 1.31 to 2.18), living in urban regions (OR=1.27, 95% CI: 1.05 to 1.55), friends/neighbours/colleagues with gastric cancer (OR=1.30, 95% CI: 1.07 to 1.58), history of chronic gastric disease (OR=1.90, 95% CI: 1.57 to 2.30), perceived high cost (OR=1.28, 95% CI: 1.01 to 1.61) and physician recommendation (OR=1.71, 95% CI: 1.36 to 2.16). On the other hand, factors negatively associated with screening attendance included perceived barriers, namely screening is only necessary when symptoms present (OR=0.71, 95% CI: 0.58 to 0.87) and perceived appointment for gastroscopy screening is difficult and time-consuming (OR=0.75, 95% CI: 0.60 to 0.94). No significant association was found between knowledge level and participation in screening.
conclusionThis study highlights important individual-level factors and barriers to gastric cancer screening. Strategies targeting under-screened populations and eliminating patient-perceived barriers to gastric cancer screening are essential.
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.