MétaCan
Menu
Back to cohort
Record W4385304193 · doi:10.1080/24745332.2023.2236621

Bronchiectasis: From targets to therapies

2023· article· en· W4385304193 on OpenAlexaff
André M. Cantin

Bibliographic record

VenueCanadian Journal of Respiratory Critical Care and Sleep Medicine · 2023
Typearticle
Languageen
FieldMedicine
TopicCystic Fibrosis Research Advances
Canadian institutionsCentre Hospitalier Universitaire de SherbrookeUniversité de Sherbrooke
Fundersnot available
KeywordsBronchiectasisMedicineMucusAirwayMucociliary clearanceImmunologyLungRespiratory systemIntensive care medicineInternal medicineBiologySurgery

Abstract

fetched live from OpenAlex

Bronchiectasis is a chronic obstructive airway disease characterized by abnormal bronchial dilatation and the accumulation of muco-purulent endoluminal secretions. Progressive lung function deterioration, frequent bouts of respiratory infection and daily productive cough negatively impact the lives of affected individuals. Multiple causal factors can initiate bronchiectasis; however, defects in host defenses represent a cardinal feature. The first line of airway defense against inhaled pathogens is mucociliary clearance. Systemic host defense defects, particularly those affecting opsonophagocytosis and killing of bacteria are equally essential to prevent bronchiectasis. Substantial evidence suggests that unopposed neutrophil protease activity in the airway lumen leads to the loss of bronchial elasticity and excessive accumulation of mucus. The focus of this review is on the advances in our understanding of pathogenic mechanisms that are bringing new targeted therapies for individuals suffering from the clinical manifestations of bronchiectasis.

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)0.001
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
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.004
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 head0.034
GPT teacher head0.344
Teacher spread0.310 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of Respiratory Critical Care and Sleep MedicineSame topicCystic Fibrosis Research AdvancesFrench-language works237,207