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Record W4293147633 · doi:10.1055/s-0042-1747729

Factors Prognostic of Greater Decline in Forced Vital Capacity in Patients with Systemic Sclerosis-Associated Interstitial Lung Disease (SSc-ILD): Data from the Placebo Group of the SENSCIS Trial*

2022· article· en· W4293147633 on OpenAlexaff
Antje Prasse, Masataka Kuwana, S Assassi, Jérôme Avouac, Rachel K. Hoyles, Janet Pope, V. Smith, Corinna Miede, Emmanuelle Clerisme-Beaty, M. Alves, Oliver Distler

Bibliographic record

VenuePneumologie · 2022
Typearticle
Languageen
FieldMedicine
TopicSystemic Sclerosis and Related Diseases
Canadian institutionsWestern University
Fundersnot available
KeywordsMedicinePlaceboVital capacityInternal medicineObservational studyInterstitial lung diseasePrognostic variableDiseaseLungOverall survivalLung functionPathologyDiffusing capacity

Abstract

fetched live from OpenAlex

Introduction SSc-ILD progression is variable and unpredictable, but observational studies have identified patient characteristics that may be prognostic of a greater FVC decline in SSc-ILD. We used placebo data of the SENSCIS trial to conduct a preliminary analysis of whether baseline variables were prognostic of a greater FVC decline over 52 weeks. Methods SENSCIS enrolled SSc-ILD patients with onset of first non-Raynaud symptom ≤7 years before screening, fibrotic ILD ≥10% on HRCT and FVC ≥40% predicted. Prednisone ≤10 mg/day (or equivalent) and/or stable therapy with mycophenolate or methotrexate for ≥6 months prior to randomization were allowed. Patients were randomized to nintedanib or placebo until the last patient had reached week 52 but for ≤100 weeks. We used data from placebo to investigate baseline characteristics as prognostic factors for a greater FVC decline (mL/year) over 52 weeks (Table). Our analyses were based on a random coefficient regression model with effects of anti-topoisomerase I antibody status, sex, time, baseline FVC (mL), age, height and subgroup-by-time and baseline-by-time interactions. Results 288 patients received placebo, 73.6% were female, 61.5% ATA-positive, and 50.7% had diffuse cutaneous SSc. At baseline, mean (SD) age was 53.4 (12.6) years, FVC 72.7 (16.6) % predicted and modified Rodnan skin score 10.9 (8.8); median time since first non-Raynaud’s symptom was 3.5 years; almost half (48.6%) were taking mycophenolate. In the primary analysis, the adjusted rate (SE) of FVC decline in placebo group was -93.3 (13.5) mL/year. None of the baseline factors was prognostic (p<0.05) of a greater FVC decline (mL/year) over 52 weeks, but baseline FVC ≤70% predicted and not taking mycophenolate showed trends toward being prognostic factors (Table). Conclusion Among SSc-ILD patients who received placebo in SENSCIS, no baseline characteristic was found to be prognostic of a greater FVC decline over 52 weeks, although baseline FVC ≤70% predicted and not taking mycophenolate showed trends. This supports previous studies suggesting that the course of SSc-ILD is difficult to predict, that prognostic factors identified in certain populations may not apply to all populations with SSc-ILD, and that new parameters or a combination of factors from different disease domains might be needed. Previously presented at ACR 202,

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)0.003
metaresearch head score (Gemma)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.104
GPT teacher head0.259
Teacher spread0.155 · 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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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