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Record W1975224187 · doi:10.1055/s-0030-1254071

Preventing Hospitalization for COPD Exacerbations

2010· review· en· W1975224187 on OpenAlexaff
Jean Bourbeau

Bibliographic record

VenueSeminars in Respiratory and Critical Care Medicine · 2010
Typereview
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicineCOPDPulmonary diseaseIntensive care medicineDiseaseInternal medicine

Abstract

fetched live from OpenAlex

Severe chronic obstructive pulmonary disease (COPD) exacerbations requiring hospitalization are a major cause of morbidity and mortality. Recognition of the importance of COPD exacerbations has led to the knowledge that prevention of exacerbations and early treatment are important goals of COPD therapy. Preventive management of COPD aiming at reducing exacerbations complicated by hospital admissions includes vaccination, avoiding pollutant exposure, and, when indicated, long-term oxygen therapy. Landmark studies have shown benefits of long-acting inhaled bronchodilators and combined long-acting inhaled bronchodilators with corticosteroids. The combination of a long-acting muscarinic antagonist with a long-acting beta (2) agonist and inhaled corticosteroids offers the best possibility to reduce the risk of exacerbations requiring hospital admissions. Pulmonary rehabilitation in COPD patients at risk of being hospitalized and regular physical activity have been shown to be associated with a lower risk of hospital admissions. Recent advances in the delivery of evidence-based care including a collaborative multicomponent self-management intervention can reduce the risk of COPD hospital admissions. If physicians meet best practice, this will have potential clinical implications, including a reduction of hospitalizations. Novel pharmacological therapy, which can prevent disease progression and exacerbations, is still needed. New self-management strategies such as a written action plan that helps patients recognize their exacerbation and promptly access treatment may have great potential. This needs to be evaluated in a properly designed randomized clinical trial before it becomes the standard of care for COPD patients.

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)0.001
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.950
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.048
GPT teacher head0.406
Teacher spread0.358 · 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 teacher head, not a consensus.

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

Citations36
Published2010
Admission routes1
Has abstractyes

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