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A Multidimensional Index and Staging System for Idiopathic Pulmonary Fibrosis

2012· article· en· 1,313 citations· W2058234974 on OpenAlex· 10.7326/0003-4819-156-10-201205150-00004

Why is this work in the frame?

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

Canadian affiliationAn author listed a Canadian institution. This is the only route the usual frame has.

Machine scores (provisional)

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

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.

Opus teacher head0.032
GPT teacher head0.316
Teacher spread
0.284 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

BACKGROUND: Idiopathic pulmonary fibrosis (IPF) is a progressive fibrotic lung disease with an overall poor prognosis. A simple-to-use staging system for IPF may improve prognostication, help guide management, and facilitate research. OBJECTIVE: To develop a multidimensional prognostic staging system for IPF by using commonly measured clinical and physiologic variables. DESIGN: A clinical prediction model was developed and validated by using retrospective data from 3 large, geographically distinct cohorts. SETTING: Interstitial lung disease referral centers in California, Minnesota, and Italy. PATIENTS: 228 patients with IPF at the University of California, San Francisco (derivation cohort), and 330 patients at the Mayo Clinic and Morgagni-Pierantoni Hospital (validation cohort). MEASUREMENTS: The primary outcome was mortality, treating transplantation as a competing risk. Model discrimination was assessed by the c-index, and calibration was assessed by comparing predicted and observed cumulative mortality at 1, 2, and 3 years. RESULTS: Four variables were included in the final model: gender (G), age (A), and 2 lung physiology variables (P) (FVC and Dlco). A model using continuous predictors (GAP calculator) and a simple point-scoring system (GAP index) performed similarly in derivation (c-index of 70.8 and 69.3, respectively) and validation (c-index of 69.1 and 68.7, respectively). Three stages (stages I, II, and III) were identified based on the GAP index with 1-year mortality of 6%, 16%, and 39%, respectively. The GAP models performed similarly in pooled follow-up visits (c-index ≥71.9). LIMITATION: Patients were drawn from academic centers and analyzed retrospectively. CONCLUSION: The GAP models use commonly measured clinical and physiologic variables to predict mortality in patients with IPF.

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.

The record

Venue
Annals of Internal Medicine
Topic
Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
Field
Medicine
Canadian institutions
University of British Columbia
Funders
National Heart, Lung, and Blood Institute
Keywords
MedicineIdiopathic pulmonary fibrosisDLCOInternal medicineLung transplantationCohortInterstitial lung diseaseRetrospective cohort studyTransplantationSurgeryLungDiffusing capacityLung function
Has abstract in OpenAlex
yes