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Record W2937531717 · doi:10.1097/mog.0000000000000534

The globalization of inflammatory bowel disease

2019· review· en· W2937531717 on OpenAlexaff
Abel Botelho Quaresma, Gilaad G. Kaplan, Paulo Gustavo Kotze

Bibliographic record

VenueCurrent Opinion in Gastroenterology · 2019
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsIncidence (geometry)EpidemiologyInflammatory bowel diseaseUlcerative colitisMedicineDiseasePopulationDeveloped countryCrohn's diseaseDemographyEnvironmental healthInternal medicine

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Epidemiological studies of inflammatory bowel disease (IBD) in newly industrialized countries are limited, due to a lack of medical surveillance systems and reliable and unified registries and databases. In Brazil, reliable data on the incidence and prevalence of Crohn's disease and ulcerative colitis is scarce. The objective of the present review is to describe in detail the available data on the incidence and prevalence of Crohn's disease and ulcerative colitis in Brazil. RECENT FINDINGS: The authors identified the single four population-based studies which refer to incidence and prevalence of IBD in the country (two from São Paulo, one from Espírito Santo and one from the state of Piauí). These studies demonstrate a remarkable growth in the incidence and estimated prevalence of IBD in Brazil, with higher number of cases in more developed regions. SUMMARY: The increase in incidence over time and the higher current prevalence are indicative of a historical progression in relation to the number of IBD patients in our country, similar to what was observed in countries from Asia and approximating those of the northern hemisphere. Epidemiological studies with more accurate methodology are needed in Brazil.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.003
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.002

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 head0.031
GPT teacher head0.333
Teacher spread0.302 · 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 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

Citations55
Published2019
Admission routes1
Has abstractyes

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