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Record W1881223416 · doi:10.5539/gjhs.v8n6p147

Frequency of Celiac Disease in Patients With Increased Intestinal Gas (Flatulence)

2015· article· en· W1881223416 on OpenAlexvenueno aff
Mohsen Masoodi, Marjan Mokhtare, Shahram Agah, M Sina, Mojtaba Soltani‐Kermanshahi

Bibliographic record

VenueGlobal Journal of Health Science · 2015
Typearticle
Languageen
FieldMedicine
TopicCeliac Disease Research and Management
Canadian institutionsnot available
Fundersnot available
KeywordsFlatulenceGastroenterologyMedicineDiseaseInternal medicine

Abstract

fetched live from OpenAlex

Excessive flatulence which impairs social performance in patients is one of the common reasons for referrals to gastroenterology clinics. Celiac Disease is a rare but important cause of increased intestinal gas (bloating) and if not diagnosed, patients face complications such as malabsorption, anemia, osteoporosis and even intestinal lymphoma. This study aimed to determine the frequency of Celiac Disease in patients with excessive flatulence.One hundred and fifty patients with a chief complaint of experiencing flatulence more than 15 times a day and lasting for three months were referred to the gastroenterology clinic of Rasoul-e-Akram Teaching Hospital. Serological tests for Celiac Disease, Anti TTG Ab (IgA-IgG) were requested and the patients with positive tests underwent upper GI endoscopy. Biopsies of the second part of the duodenum were then sent to the laboratory.From one hundred and thirty patients who completed the study, 92 (70.7%) were female. Mean age of the patients was 32 ± 13 years. Anti TTG Ab was found in 5 patients (3.85%). Only 2 patients (1.5%) had a documented positive pathology for Celiac Disease.According to the results of this study and other studies, we conclude that Celiac Disease is an uncommon etiology for excessive flatulence but it is of importance to investigate it in excessive flatulence patients.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.022
GPT teacher head0.335
Teacher spread0.314 · 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 source (direct Gemma or distilled Codex), 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

Citations5
Published2015
Admission routes1
Has abstractyes

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