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Record W4250714433 · doi:10.1097/mog.0b013e328365d45d

Dyspepsia

2013· review· en· W4250714433 on OpenAlexaff
Alexander C. Ford, Paul Moayyedi

Bibliographic record

VenueCurrent Opinion in Gastroenterology · 2013
Typereview
Languageen
FieldMedicine
TopicGastrointestinal motility and disorders
Canadian institutionsPopulation Health Research InstituteMcMaster University
Fundersnot available
KeywordsMedicineGastroenterologyInternal medicineHelicobacter pyloriGERDDiseasePopulationProton-pump inhibitorRandomized controlled trialReflux

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Dyspepsia affects up to 40% of the general population and significantly reduces quality of life. A small proportion of patients have peptic ulcer disease as cause and this can be treated empirically with Helicobacter pylori eradication therapy in those that are infected. Approximately 20% have gastro-oesophageal reflux disease and this can be effectively treated with proton pump inhibitor therapy. Patients who remain symptomatic may warrant an endoscopy, but most will have functional dyspepsia. Treatment of functional dyspepsia remains a challenge. RECENT FINDINGS: Recent large randomized trials suggest tricyclic antidepressant therapy may be effective in functional dyspepsia. A phase III randomized controlled trial reports that a new prokinetic, acotiamide, reduces dyspepsia symptoms in functional dyspepsia patients. There are also preliminary data that suggest buspirone, a drug that promotes gastric accommodation, is also effective in functional dyspepsia. There are also data to suggest that functional dyspepsia is caused by subtle manifestations of inflammation in the upper gastrointestinal tract, possibly caused by food sensitivity or a change in gut flora. SUMMARY: The initial management of dyspepsia is well established, but managing those with continued symptoms is a challenge. Antidepressants and newer gastric motility agents show promise. Targeting the diet and gut microbiome is another area for future research in functional dyspepsia.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.956
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.149
GPT teacher head0.416
Teacher spread0.268 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations21
Published2013
Admission routes1
Has abstractyes

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