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Record W2972592155 · doi:10.1097/mcp.0000000000000620

Sleep and interstitial lung disease

2019· article· en· W2972592155 on OpenAlexaff
Katherine Myall, Alex West, Brian D. Kent

Bibliographic record

VenueCurrent Opinion in Pulmonary Medicine · 2019
Typearticle
Languageen
FieldMedicine
TopicInterstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
Canadian institutionsSt. Thomas Hospital
Fundersnot available
KeywordsMedicineHypoxemiaInterstitial lung diseaseSleep (system call)DiseaseQuality of life (healthcare)Internal medicineIntensive care medicineLung

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: There is an increasing recognition of the impact of sleep and sleep disorders on respiratory disease. Recent years have seen a new focus on the relationship between sleep and outcomes in patients interstitial lung disease (ILD). RECENT FINDINGS: Recent studies suggest a high prevalence of sleep issues in ILD cohorts, which seem to have a meaningful negative impact on quality of life, disease progression, and survival. SUMMARY: Sleep disordered breathing is common in ILD patients: obstructive sleep apnoea (OSA) is found in 44-72% of ILD patients, and nocturnal hypoxemia is relatively common even in the absence of OSA. Sleep disorders are associated with worse quality of life in ILD, and may also predict more rapid disease progression and increased mortality. It remains unknown if nocturnal hypoxemia may itself cause progression of ILD. Uncontrolled and retrospective studies have suggested that treating OSA may improve ILD-related outcomes, but prospective studies are lacking in this field.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.010
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.003

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 head0.023
GPT teacher head0.322
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 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

Citations15
Published2019
Admission routes1
Has abstractyes

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