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The Risk Stratification Score, a New Staging System for Idiopathic Pulmonary Fibrosis: Final Data of the Discovery Cohort

2025· article· en· W4410276934 on OpenAlexaffabout
Gian Marco Manzetti, Paola Rogliani, Marco Mura

Bibliographic record

VenueAmerican Journal of Respiratory and Critical Care Medicine · 2025
Typearticle
Languageen
FieldMedicine
TopicInterstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
Canadian institutionsWestern University
Fundersnot available
KeywordsMedicineRisk stratificationCohortIdiopathic pulmonary fibrosisInternal medicinePulmonary fibrosisStratification (seeds)Cohort studyFibrosisLung

Abstract

fetched live from OpenAlex

Abstract RATIONALE Idiopathic pulmonary fibrosis (IPF) is characterized by an unfavorable prognosis and highly variable rates of progression. A new staging system that is reliably responsive to longitudinal changes in the individual patient is required to guide clinical decision making (including lung transplant listing). Using a multidimensional approach, we conducted an observational, prospective, multicentre study with longitudinal visits at 4 months intervals, and including both a discovery and a validation cohort. The proposed RIsk Stratification scorE (RISE) is a 4-point index combining MRC dyspnea score (MRCDS), 6-minute walking distance (6MWD) and the Composite Physiologic Index (CPI; CALIPER-revised). The aim of this interim analysis was to investigate the prognostic performance of RISE in the discovery cohort. METHODS We conducted a preliminary analysis of the discovery cohort. Newly diagnosed patients with IPF were include in the study and followed for a period of the 3-years (ClinicalTrials.gov trial n. NCT02632123) at 2 interstitial lung disease centres (London, Canada and Rome, Italy). The primary endpoint was lung transplant (LTx)-free survival. RESULTS Among 179 patients included in the discovery cohort, there were 71 deaths, and 16 patients received a LTx (combined mortality/LTx 48.6%)). Multi-variate Cox regression analysis showed that the 3 individual variables included in the study (namely MRCDS ≥3, 6MWD ≤78% predicted and CPI >23) independently and significantly predicted 3-year LTx free survival, while the receiver operating characteristic (ROC) analysis demonstrated very good diagnostic accuracy for the prediction of the endpoint, with an area under the curve (AUC) of 0.775, 0.713 and 0.868, respectively. RISE was calculated based on the 3 parameters. The Kaplan-Meier curves and the log-rank test showed a very good predictive power of baseline RISE and an excellent predictive power for its longitudinal changes (Chi square 67.04 and 80.74, respectively). CONCLUSIONS This preliminary analysis of the discovery cohort shows that the individual components included in the score are independent predictors of LTx-free survival, which validates the multidimensional approach based on the use of variables belonging to different domains (dyspnea, lung function, exercise capacity). The analysis of the discovery cohort also showed that the RISE and is responsive to longitudinal changes observed during the clinical course, making it a reliable and accurate staging system. We look forward to confirming these results in the ongoing validation cohort.

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)0.007
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.007
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.027
GPT teacher head0.317
Teacher spread0.290 · 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 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
Published2025
Admission routes2
Has abstractyes

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