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Record W1999827505 · doi:10.1517/14728214.11.2.275

Emerging drugs for the treatment of chronic obstructive pulmonary disease

2006· review· en· W1999827505 on OpenAlexaff
Samir Malhotra, S. F. Paul Man, Don D. Sin

Bibliographic record

VenueExpert Opinion on Emerging Drugs · 2006
Typereview
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsSt. Paul's HospitalUniversity of British Columbia
Fundersnot available
KeywordsMedicineCOPDRoflumilastPulmonary diseaseIntensive care medicinePharmacologyImmunologyInternal medicine

Abstract

fetched live from OpenAlex

By 2020 chronic obstructive pulmonary disease (COPD) will be the third leading cause of mortality and fifth leading cause of morbidity. Research over the past two decades has shed important insights on the pathobiology of COPD, leading to the development of novel drugs. In the past, symptomatic treatment with bronchodilators was the predominant focus of COPD management. With increased awareness of the importance of airway inflammation in COPD progression, there has been a shift in emphasis to drugs that attack various targets in the inflammatory cascade. These drugs include phosphodiesterase 4 inhibitors, leukotriene modifiers and TNF antagonists, which are poised to enter the COPD market in the very near future. Tyrosine kinase antagonists, inhibitors of NF-kappaB, neutrophil elastase inhibitors, chemokine antagonists, mucolytics and novel antibiotics are being evaluated for possible effectiveness in COPD. Many of these drugs may enter the COPD market within the next decade. This paper reviews the molecular rationale for these emerging drugs and their potential efficacy in COPD.

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 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 score0.981
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.040
GPT teacher head0.378
Teacher spread0.339 · 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

Citations22
Published2006
Admission routes1
Has abstractyes

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