A simple dyspnoea scale as part of the assessment to predict outcome across chronic interstitial lung disease
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVE: The Medical Research Council dyspnoea score (MRCDS) is a simple, objective scale to assess dyspnoea, the main complaint in patients with chronic interstitial lung disease (ILD). We sought to investigate whether MRCDS is a predictor of outcome in patients with chronic ILD. METHODS: One hundred and fifteen patients (50 idiopathic pulmonary fibrosis (IPF) and 65 non-IPF ILD) were retrospectively studied. Baseline (time of diagnosis) MRCDS and 3-6-month changes were considered. Endpoints were (i) 18-month clinical progression, defined as either: ≥10% absolute reduction in forced vital capacity (FVC) percent predicted; ≥50-m decline in 6-min walk distance; hospitalization for respiratory causes; lung transplantation (LTx) assessment or death and (ii) 18-month survival. RESULTS: At the end of the observation period, 54 subjects (47%) experienced clinical progression (including 22 deaths and 3 LTx). In patients with IPF, a longitudinal increase in MRCDS predicted clinical progression significantly (area under the curve (AUC) = 0.76, sensitivity = 62%, specificity = 91%); baseline MRCDS was a strong predictor of mortality (AUC = 0.80, sensitivity = 87%, specificity = 57%). In patients with non-IPF ILD, longitudinal increases in MRCDS, but not baseline values, were predictive of both clinical progression (AUC = 0.81, sensitivity = 85%, specificity = 77%) and mortality (AUC = 0.76, sensitivity = 91%, specificity = 61%). Considering the whole population, MRCDS increase and FVC decline were independent predictors of mortality. CONCLUSION: Longitudinal increases of MRCDS predict poor outcome in chronic ILD, with good accuracy. Baseline MRCDS remains a strong predictor of mortality in IPF. MRCDS should be included in the global assessment of the clinical course of chronic ILD.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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