MétaCan
Menu
Back to cohort
Record W4401955828 · doi:10.1097/bor.0000000000001049

Treatment of interstitial lung disease in systemic sclerosis: guidelines and new clinical trial results

2024· review· en· W4401955828 on OpenAlexaff
Sindhu R. Johnson, Elana J. Bernstein

Bibliographic record

VenueCurrent Opinion in Rheumatology · 2024
Typereview
Languageen
FieldMedicine
TopicSystemic Sclerosis and Related Diseases
Canadian institutionsToronto Western HospitalUniversity of TorontoMount Sinai Hospital
FundersNational Institute of Arthritis and Musculoskeletal and Skin DiseasesNational Heart, Lung, and Blood InstituteaTyr
KeywordsMedicineInterstitial lung diseaseNintedanibRituximabClinical trialInternal medicineIntensive care medicineTocilizumabRandomized controlled trialRheumatologyPirfenidoneScleroderma (fungus)DiseaseIdiopathic pulmonary fibrosisPhysical therapyLungImmunology

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Interstitial lung disease (ILD) is the leading cause of death in patients with systemic sclerosis-associated interstitial lung disease (SSc-ILD). The American College of Rheumatology (ACR), in conjunction with the American College of Chest Physicians (CHEST), recently published clinical practice guidelines for the treatment of adults with systemic autoimmune rheumatic disease-associated ILD, including SSc-ILD. Herein, we summarize evidence from randomized trials evaluating the safety and efficacy of pharmacologic therapies for the treatment of SSc-ILD. RECENT FINDINGS: In this review, we present findings from recent randomized controlled trials in SSc-ILD. The pharmacologic therapies discussed include immunosuppressive medications (mycophenolate, cyclophosphamide, rituximab, and tocilizumab) and antifibrotic medications (nintedanib and pirfenidone). SUMMARY: Randomized trials provide an evidence base for the SSc-ILD treatment recommendations put forth in the ACR/CHEST Guidelines for the treatment of ILD in people with systemic autoimmune rheumatic diseases. These guidelines will help inform clinical practice and highlight areas in which further research is needed.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.781
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.456
GPT teacher head0.516
Teacher spread0.060 · 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.

Study designSystematic review
Domainnot available
GenreReview

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

Citations4
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueCurrent Opinion in RheumatologySame topicSystemic Sclerosis and Related DiseasesFrench-language works237,207