Uninvestigated Dyspepsia and Heartburn Overlap Syndrome at Industrial Hub of Eastern Siberia
Bibliographic record
Abstract
Aim. A study of the overlap syndrome of uninvestigated dyspepsia and heartburn at an industrial hub city of Eastern Siberia.Materials and methods. A total of 1,382 subjects (684 men and 698 women, mean age 40.6 years) were randomly selected and examined for the central district of Krasnoyarsk. The clinical check-up and interviewing results were registered with a standard questionnaire. Heartburn was diagnosed as per the Montreal Consensus. Since no endoscopic patient examination had been performed, dyspepsia was assumed uninvestigated. Dyspepsia was diagnosed as per the Rome IV criteria. The study conduction complied with ethical standards. Each participant signed an informed examination consent, in accordance to the regulations by the World Medical Association’s Declaration of Helsinki. The survey data were analysed with common statistical methods.Results. Heartburn, uninvestigated dyspepsia and their overlap syndrome had prevalence of 12.4, 21.1 and 5% in study population, respectively. Uninvestigated dyspepsia was registered in 40.4% patients with and 18.4% — without heartburn (p < 0.001). The risk factors of overlap syndrome were age >40 years (p = 0.002), obesity (p = 0.002), nonsteroidal anti-inflammatory drug and/or aspirin intake (p = 0.004) and tobacco smoking (p = 0.007). Among total patients with the heartburn/uninvestigated dyspepsia overlap syndrome, only 33.3% systemically had proton pump inhibitors, and only 17.4% had a prokinetic therapy.Conclusion. The heartburn/uninvestigated dyspepsia overlap syndrome is an actual issue in the Krasnoyarsk population. Attention is warranted to this problem to optimise treatment and prevention measures.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".