Low yield of gastroscopy in patients with Lynch syndrome
Bibliographic record
Abstract
BACKGROUND/AIMS: Lynch syndrome (LS) is the most common hereditary colorectal cancer syndrome, caused by germline mutations in mismatch-repair genes. Besides a lifetime risk of colorectal cancer averaging 70%-80%, there is an increased risk of extracolonic tumors including gastric cancer. The utility of screening gastroscopy in Lynch syndrome has long been debated. This study aimed to determine the proportion of abnormal gastroscopies among patients screened, including the incidence of gastric cancer and prevalence of precursor lesions. MATERIALS AND METHODS: Charts of patients with mutation-proven Lynch syndrome between January 1, 2004, and December 31, 2014, from the Genetics clinic and Hereditary Gastrointestinal Cancer Clinic of our institution were retrospectively reviewed. RESULTS: A total of 66 Lynch syndrome patients were identified. Thirty-two gastroscopies were performed in 21 (32%) of them. No gastric cancers were found. The prevalence of precursor lesions (Helicobacter pylori gastritis, atrophic gastritis, and gastric intestinal metaplasia) was 19.05%. A family history of gastric cancer was associated with a non-significant increased risk of abnormal gastroscopy, while sex and specific gene involved did not affect the abnormality rate. CONCLUSION: Gastric screening in asymptomatic individuals with Lynch syndrome is probably best reserved for high-risk individuals, based on the family history and perhaps ethnicity as suggested by several governing bodies. Larger studies are required to achieve the statistical power necessary to address this controversial issue.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".