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Record W2154672732 · doi:10.1097/mcg.0b013e31815591f7

Functional Dyspepsia

2009· article· en· W2154672732 on OpenAlexaff
Lieke A.S. van Kerkhoven, Robert J.F. Laheij, Villy Meineche-Schmidt, Sander J. Veldhuyzen-van Zanten, Niek J. de Wit, Jan B.�M.�J. Jansen

Bibliographic record

VenueJournal of Clinical Gastroenterology · 2009
Typearticle
Languageen
FieldMedicine
TopicGastrointestinal motility and disorders
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedicineEpigastric painDistressFunctional gastrointestinal disorderInternal medicineFunctional disorderPostprandialEndoscopyGastroenterologyIrritable bowel syndrome

Abstract

fetched live from OpenAlex

BACKGROUND: The Rome criteria have been introduced to create order in the heterogeneity of functional dyspepsia. The applicability of these symptom-based classification systems remains controversial. GOAL: To evaluate the successive Rome criteria for functional dyspepsia in a large pool of patients with endoscopically verified functional dyspepsia. STUDY: Patients referred to a secondary care district hospital were asked to fill out a questionnaire on gastrointestinal symptoms 2 weeks before upper gastrointestinal endoscopy. Patients were classified according to the Rome I, II, and III criteria for functional dyspepsia. RESULTS: Nine hundred and twelve (70%) patients had no organic disorder explaining their symptoms. According to the Rome I, II, and III criteria, 371 (41%), 735 (81%), and 551 (60%) of these patients had functional dyspepsia, respectively. Twenty-five percent of patients had functional dyspepsia according to all 3 Rome criteria, whereas 15% was not classifiable at all. Forty-four percent and 42% of the patients, respectively, had epigastric pain syndrome and postprandial distress syndrome according to the Rome III criteria; however, 26% of all patients met both criteria and 40% was not classified at all. CONCLUSIONS: The symptom-based Rome classification of functional dyspepsia does not lead to an easily applicable and consistent system that is useful in clinical practice or scientific research.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.352

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.071
GPT teacher head0.382
Teacher spread0.311 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations56
Published2009
Admission routes1
Has abstractyes

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