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Record W2887333948 · doi:10.1093/qjmed/hcw119.023

P019 <break /> Autoantibody status, decline in lung function, and survival in patients with idiopathic pulmonary fibrosis

2016· article· en· W2887333948 on OpenAlexaffabout
G.C. Goobie, Chelsea Ford-Sahibzada, Marvin J. Fritzler, Kerri A. Johannson, Charlene D. Fell

Bibliographic record

VenueQJM · 2016
Typearticle
Languageen
FieldMedicine
TopicInterstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsAutoantibodyMedicinePulmonary fibrosisIdiopathic pulmonary fibrosisLungPulmonary function testingLung functionInternal medicineFibrosisGastroenterologyImmunologyAntibody

Abstract

fetched live from OpenAlex

Background: Idiopathic pulmonary fibrosis (IPF) is the most common idiopathic interstitial pneumonia. A proportion of IPF patients have positive autoantibodies, however the clinical significance of positive serology in IPF is unknown. The aim of this study is to determine the proportion of IPF patients with positive serology and the impact of serology on lung function decline and survival. Methods: Consecutive patients with a diagnosis of interstitial lung disease (ILD) presenting to the ILD clinic in Calgary were recruited into this prospective longitudinal cohort study. Patients included in this study were those who had serology performed during routine workup for ILD. Demographics, serology, serial PFTs and survival were compared between patients with and without positive serology. Survival analysis was performed using a Cox-proportional hazards regression, adjusting for GAP score. Results: Of 202 patients enrolled in the ILD database study, 61 patients with IPF had serologic testing performed. One or more positive autoantibodies was found in 25 patients (40.9%). The most common autoantibody was ANA (defined by titer 1:320 or cytoplasmic or nucleolar pattern), found in 23 patients (37.7%). There were no differences in age, sex, smoking status, or baseline FVC or DLCO between the two groups. There was no association between autoantibody status and rate of decline in FVC (p = 0.699), DLCO (p = 0.105), or survival (HR = 1.65, p = 0.21).

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.723

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.005
GPT teacher head0.219
Teacher spread0.214 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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
Published2016
Admission routes2
Has abstractyes

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