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Record W1963670158 · doi:10.1136/ebn.8.1.14

Review: long term use of common medications for asthma reduces exacerbations in adults

2005· letter· en· W1963670158 on OpenAlexaff
Sandra P. Small

Bibliographic record

VenueEvidence-Based Nursing · 2005
Typeletter
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsAsthmaAsthma exacerbationsTerm (time)MedicineIntensive care medicineInternal medicine

Abstract

fetched live from OpenAlex

Sin DD, Man J, Sharpe H, et al . Pharmacological management to reduce exacerbations in adults with asthma: a systematic review and meta-analysis. JAMA 2004;292:367–76.[OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] Q In adults with asthma, does long term use of common pharmacological antiasthmatic agents reduce rates of exacerbations? ### ![Graphic][5] Data sources: Medline, EMBASE/Excerpta Medica, and the Cochrane databases (all from 1980 to April 2004); bibliographies of relevant articles; and experts. ### ![Graphic][6] Study selection and assessment: randomised controlled trials (RCTs) (published in English) that lasted ⩾3 months, evaluated common pharmacological treatments for adults (>19 y of age) with asthma, and reported relevant outcomes. Study quality was assessed using the Jadad scale. ### ![Graphic][7] Outcomes: exacerbation rates and forced expiratory volume in 1 second (FEV1). 4 categories of pharmacological medications were evaluated. Meta-analyses were done using a random effects model when significant data heterogeneity was detected. (1) Inhaled corticosteroids (ICSs) … [1]: {openurl}?query=rft.jtitle%253DJAMA%26rft.stitle%253DJAMA%26rft.aulast%253DSin%26rft.auinit1%253DD.%2BD.%26rft.volume%253D292%26rft.issue%253D3%26rft.spage%253D367%26rft.epage%253D376%26rft.atitle%253DPharmacological%2BManagement%2Bto%2BReduce%2BExacerbations%2Bin%2BAdults%2BWith%2BAsthma%253A%2BA%2BSystematic%2BReview%2Band%2BMeta-analysis%26rft_id%253Dinfo%253Adoi%252F10.1001%252Fjama.292.3.367%26rft_id%253Dinfo%253Apmid%252F15265853%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/external-ref?access_num=10.1001/jama.292.3.367&link_type=DOI [3]: /lookup/external-ref?access_num=15265853&link_type=MED&atom=%2Febnurs%2F8%2F1%2F14.atom [4]: /lookup/external-ref?access_num=000222693500023&link_type=ISI [5]: /embed/inline-graphic-1.gif [6]: /embed/inline-graphic-2.gif [7]: /embed/inline-graphic-3.gif

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)0.003
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.011
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.019
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0070.005
Bibliometrics0.0050.008
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0110.001

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 head0.061
GPT teacher head0.360
Teacher spread0.299 · 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 designSystematic review
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
Published2005
Admission routes1
Has abstractyes

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