ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2018
Validation of a Blood Biomarker for Identification of Individuals at High Risk for Gastric Cancer.
Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed, 23 citations in OpenAlex.
- Signaling pathways and targeted interventions for precancers.Signal transduction and targeted therapy · 2026Review
- Review
- Protein Biomarkers of Gastric Preneoplasia and Cancer Lesions in Blood: A Comprehensive Review.Cancers · 2024Review
- Helicobacter pylori-activated fibroblasts as a silent partner in gastric cancer development.Cancer metastasis reviews · 2023Review
- Discrimination between Precancerous Gastric Lesions and Gastritis Using a Gastric Cancer Risk Stratification Model.Asian Pacific journal of cancer prevention : APJCP · 2023Article
- Serum antibodies to selectedMalawi medical journal : the journal of Medical Association of Malawi · 2022Article
- Review
- Article
- What Is New inJournal of clinical medicine · 2021Review
- Screening for gastric cancer in China: Advances, challenges and visions.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2021Article
- Racial Differences inCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020Article
- Helicobacter pylori-related risk predictors of gastric cancer: The latest models, challenges, and future prospects.Cancer medicine · 2020Review
- Smoking,Cancer prevention research (Philadelphia, Pa.) · 2019Article
- Immunostimulatory membrane proteins potentiateGut microbesArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
20 authors at 10 institutions in 7 countries.
Funding
Abstract
background
methodsThis cross-sectional study included 1,402 individuals from Linqu County screened by upper endoscopy.
resultsCompared with individuals seronegative to Omp and HP0305, individuals seropositive to both were seven times more likely to have precancerous lesions (OR, 7.43; 95% CI, 5.59-9.88). A classification model for precancerous lesions that includes age, smoking, and seropositivity to
conclusionsThe present study of prevalent precancerous gastric lesions provides support for two new serum biomarkers of gastric cancer risk, Omp and HP 0305. IMPACT: Our results support further research into the serological biomarkers Omp and HP0305 as possible improvements over the established virulence marker CagA for identifying individuals with precancerous lesions in East Asia.
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.