MétaCan
Menu
Back to cohort

Antibiotics Should Be Used as First-line Therapy for Crohnʼs Disease

2004· review· en· W2135495331 on OpenAlexaff
Gordon R. Greenberg

Bibliographic record

VenueInflammatory Bowel Diseases · 2004
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsUniversity of TorontoMount Sinai Hospital
Fundersnot available
KeywordsCrohn's diseaseMedicineAntibioticsCrohn diseaseDiseaseAntibiotic therapyIntensive care medicineInternal medicineMicrobiologyBiology

Abstract

fetched live from OpenAlex

The etiology of Crohn's disease remains uncertain, and to date no therapy is curative. Recent experimental evidence suggests that an altered immune response to commensal enteric flora in a genetically susceptible host plays a key role in both the development and perpetuation of the intestinal inflammation of Crohn's disease. Thus, incorporation of antibiotics into the therapeutic armamentarium for Crohn's disease, either as first-line therapy or combined with immunomodulatory drugs, would seem to be a rational strategy. Indeed, most IBD clinicians would attest to the marked benefit of antibiotic therapy in individual patients. Skepticism surrounding this approach arises because evidenced-based analyses' show that the few clinical trials evaluating the efficacy of antibiotics for Crohn's disease have produced equivocal or negative results or have methodological deficiencies, including small number of patients and absence of a placebo group. However, by undertaking an analysis that integrates information from both basic and clinical spheres of study, the dichotomy between experimental and clinical observations tends to merge. This approach underscores certain key factors that determine an optimal response to antibiotics, emphasizes the requirement for assessment in well-defined subsets of patients, and leads to the conclusion that antibiotics do provide benefit for Crohn's disease.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.891
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
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 head0.039
GPT teacher head0.324
Teacher spread0.284 · 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; both teacher heads agree on what is shown here.

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

Citations38
Published2004
Admission routes1
Has abstractyes

Explore more

Same venueInflammatory Bowel DiseasesSame topicInflammatory Bowel DiseaseFrench-language works237,207