MétaCan
Menu
Back to cohort
Record W2134373232 · doi:10.1189/jlb.3ru1114-563r

Potential mechanisms regulating pulmonary pathology in inflammatory bowel disease

2015· review· en· W2134373232 on OpenAlexfundno aff
Sean Mateer, Steven Maltby, Ellen L. Marks, Paul S. Foster, Jay C. Horvat, Philip M. Hansbro, Simon Keely

Bibliographic record

VenueJournal of Leukocyte Biology · 2015
Typereview
Languageen
FieldImmunology and Microbiology
TopicIL-33, ST2, and ILC Pathways
Canadian institutionsnot available
FundersNational Health and Medical Research CouncilCanadian Institutes of Health ResearchHunter Medical Research InstituteNewcastle University
KeywordsInflammatory bowel diseaseImmunologyBronchiectasisImmune systemLungInflammationContext (archaeology)DiseaseDysbiosisBiologyMedicinePathologyGut floraInternal medicine

Abstract

fetched live from OpenAlex

Inflammatory bowel disease is associated with a number of comorbidities that arise at extraintestinal sites, including the lung. Pulmonary manifestations reported in inflammatory bowel disease include bronchiectasis, chronic bronchitis and importantly, a range of subclinical respiratory abnormalities that are often overlooked in routine clinical evaluation. Whereas evidence for the pulmonary manifestations of Inflammatory bowel disease is increasing, little is known about the immunologic and physiologic mechanisms regulating cross-talk between the gut and lung during disease. This review examines reported lung involvement in Inflammatory bowel disease and discusses the possible immune pathways that underlie pulmonary pathologies. These mechanisms include dysfunctional immune-cell homing, systemic inflammation, and microbial dysbiosis; all of which may contribute to Inflammatory bowel disease-induced pulmonary inflammation. These mechanisms are discussed in the context of our current knowledge of the shared mucosal immune system and the immunology of Inflammatory bowel 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 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)0.000
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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.029
GPT teacher head0.288
Teacher spread0.259 · 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

Citations54
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Leukocyte BiologySame topicIL-33, ST2, and ILC PathwaysFrench-language works237,207