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Record W2902006486 · doi:10.1097/mcp.0000000000000554

Inhaled corticosteroids and fractures in chronic obstructive pulmonary disease

2018· review· en· W2902006486 on OpenAlexaff
Ji‐Yong Moon, Don D. Sin

Bibliographic record

VenueCurrent Opinion in Pulmonary Medicine · 2018
Typereview
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsUniversity of British ColumbiaSt. Paul's Hospital
Fundersnot available
KeywordsMedicinePulmonary diseaseInhaled corticosteroidsIntensive care medicineMEDLINEInternal medicineAsthma

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Inhaled corticosteroid (ICS) is commonly used in the management of patients with chronic obstructive pulmonary disease (COPD) for symptom relief and exacerbation prevention; however, there is a growing concern that ICS increases risk of osteoporosis and fractures in patients with COPD. RECENT FINDINGS: Osteoporosis is a major comorbidity of COPD. There is evidence from large observational studies that use of ICS for prolonged period of time (e.g. ≥4 years) is associated with accelerated loss of bone mineral density and increased risk of fractures in a dose-dependent and time-dependent fashion in patients with COPD. The risk of fractures appears increase significantly when high doses of ICS (at least 250 μg/day in fluticasone or equivalents) are used for a long period of time (at least 3 years). SUMMARY: ICS increases risk of bone demineralization and fracture in patients with COPD. It should be generally avoided in patients with previous fractures or significant osteoporosis. If they are used in such patients, close monitoring is recommended for accelerated bone demineralization.

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)0.002
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.007
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.077
GPT teacher head0.414
Teacher spread0.337 · 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

Citations8
Published2018
Admission routes1
Has abstractyes

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