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Record W2080310634 · doi:10.1097/mcp.0000000000000073

Acute exacerbations complicating interstitial lung disease

2014· review· en· W2080310634 on OpenAlexaff
Christopher J. Ryerson, Harold R. Collard

Bibliographic record

VenueCurrent Opinion in Pulmonary Medicine · 2014
Typereview
Languageen
FieldMedicine
TopicInterstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
Canadian institutionsSt. Paul's Hospital
Fundersnot available
KeywordsMedicineInterstitial lung diseaseIntensive care medicineLungLung diseaseInternal medicine

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: The purpose of this review is to provide an update on acute exacerbations of idiopathic pulmonary fibrosis (AE-IPF), with a specific focus on new data regarding the cause, clinical features, management and prognosis of AE-IPF. In addition, the limitations of the current definition of AE-IPF are discussed and a novel classification schema is proposed. RECENT FINDINGS: AE-IPF occurs in up to 15% of IPF patients annually and has a mortality of approximately 50%. The incidence of AE-IPF is higher in patients with worse lung function and may be increased in some populations. Emerging data suggest that exacerbations may be secondary to subclinical triggers such as infection, aspiration, mechanical injury and air pollution. Management of AE-IPF typically includes high-dose corticosteroids and antimicrobials; however, there are limited data to support these or other therapies. Prevention of AE-IPF with antifibrotic medications may be feasible and warrants further study. SUMMARY: AE-IPF is associated with significant morbidity and mortality; however, there remains a paucity of clinical data. The current definition of AE-IPF has limitations and a new classification schema should be considered.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.837
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
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 head0.089
GPT teacher head0.433
Teacher spread0.344 · 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 designOther design
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

Citations32
Published2014
Admission routes1
Has abstractyes

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