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Record W2134932273 · doi:10.1136/gutjnl-2011-300613

Role of biological therapy for inflammatory bowel disease in developing countries

2011· article· en· W2134932273 on OpenAlexaff
Gerhard Rogler, Çharles N. Bernstein, Ajit Sood, Khean‐Lee Goh, Jesús K. Yamamoto‐Furusho, Zaigham Abbas, Michael Fried

Bibliographic record

VenueGut · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsDeveloping countryMedicineDeveloped countryMedical prescriptionHealth careDiseasePopulationInflammatory bowel diseaseEconomic growthIntensive care medicineBusinessFamily medicineDevelopment economicsEnvironmental healthNursingEconomicsPathology

Abstract

fetched live from OpenAlex

Inflammatory bowel disease (IBD) has become a global disease. Its incidence in developing countries is rising. In Asia, this has been attributed to the rapid modernisation and westernisation of the population. As IBD emerges in developing nations, there is a need to reconcile the most appropriate treatment for these patient populations from the perspectives of both disease presentation and cost. In the West, biological agents are the fastest-growing segment of the prescription drug market. They typically cost several thousand to several tens of thousands of dollars per patient per year. The healthcare systems in developing countries will struggle to afford such expensive treatments. Developing countries cover two-thirds of the earth's surface and are home to 3-5 billion inhabitants, constituting three-quarters of all humanity. If IBD emerges to the same extent in those countries as it has in the West, the need for biological therapy will increase dramatically, and the pharmaceutical industry, healthcare providers, patient advocate groups, governments and non-governmental organisations will have to discuss how to handle this. The authors propose that this dialogue should begin now with regard to (1) the major needs of patients with complicated IBD in developing countries, (2) the potential need for biological therapy in developing countries to treat IBD, (3) the necessary infrastructure for selecting patients with IBD who need biological therapy, and (4) medical/ethical issues limiting the use of biological therapy.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.380

Codex and Gemma teacher scores by category

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

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 head0.018
GPT teacher head0.244
Teacher spread0.226 · 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

Citations45
Published2011
Admission routes1
Has abstractyes

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