MétaCan
Menu
Back to cohort
Record W242609349

The relevance of the polymicrobial nature of airway infection in the acute and chronic management of patients with cystic fibrosis.

2009· article· en· W242609349 on OpenAlexaff
Christopher D. Sibley, Michael D. Parkins, Harvey Rabin, Michael G. Surette

Bibliographic record

VenuePubMed · 2009
Typearticle
Languageen
FieldMedicine
TopicCystic Fibrosis Research Advances
Canadian institutionsCalgary General HospitalUniversity of Calgary
Fundersnot available
KeywordsCystic fibrosisMedicineMicrobiomeAirwayIntensive care medicineAntibioticsPathogenAntibiotic therapyClinical significanceImmunologyBioinformaticsPathologyInternal medicineMicrobiologyBiologySurgery
DOInot available

Abstract

fetched live from OpenAlex

A comprehensive analysis of the airway microbiome in cystic fibrosis (CF) has revealed that the airways are a reservoir of previously unrecognized but clinically relevant organisms. Traditionally, antibiotic intervention in patients with CF presenting with acute bronchopulmonary exacerbations has been directed at a limited number of bacterial pathogens. In patients chronically colonized by conventional pathogens that demonstrate no bacteriological response to standard therapy, other antibiotics may have clinical efficacy. Using a case-based example, this review argues that pathogen-directed treatment based on inclusive quantitative microbiological protocols can result in improved patient outcomes. Furthermore, future therapeutic approaches that may rely on a polymicrobial perspective of the airways in CF are discussed.

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.004
GPT teacher head0.231
Teacher spread0.227 · 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 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

Citations54
Published2009
Admission routes1
Has abstractyes

Explore more

Same venuePubMedSame topicCystic Fibrosis Research AdvancesFrench-language works237,207