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Record W2978497492 · doi:10.5455/jpma.286805

Coeliac disease in Pakistan: A bibliographic review of current research status

2019· review· en· W2978497492 on OpenAlexaff
Mohsin Rashid, Huda Rashid

Bibliographic record

VenueJournal of the Pakistan Medical Association · 2019
Typereview
Languageen
FieldMedicine
TopicCeliac Disease Research and Management
Canadian institutionsRegistered Nurses' Association of OntarioDalhousie University
Fundersnot available
KeywordsMedicineCoeliac diseaseGluten freeMEDLINEDiseaseFamily medicinePediatricsInternal medicine

Abstract

fetched live from OpenAlex

Coeliac disease is a common disorder worldwide but its impact in Pakistan is unknown. We reviewed the literature to investigate what is published on coeliac disease and gluten-free diet in Pakistan. Search engines including Medline, Embase, Google were used to retrieve information. Only articles published in a medical journal were included. A total of 34 articles were retrieved, 28 of which were clinical. Of these, 14 pertained to adults and 14 described paediatric patients. Most consisted of descriptions of small series of patients or individual case reports. Five articles addressed treatment issues including gluten-free diet. Most (65%) were from Pakistani journals. All publications were from Sindh or Punjab. For a common disorder, there is a paucity of high quality scientific literature on coeliac disease from Pakistan. Systematic, prospective research studies are needed to investigate the impact of coeliac disease in Pakistan including prevalence, clinical presentations and challenges of gluten-free diet.

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)0.002
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesBibliometrics
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.975
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0250.034
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.104
GPT teacher head0.522
Teacher spread0.418 · 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.

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

Citations9
Published2019
Admission routes1
Has abstractyes

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