Recommendations for Screening and Detection of Connective Tissue Disease–Associated Pulmonary Arterial Hypertension
Bibliographic record
Abstract
OBJECTIVE: Pulmonary arterial hypertension (PAH) affects up to 15% of patients with connective tissue diseases (CTDs). Previous recommendations developed as part of larger efforts in PAH did not include detailed recommendations for patients with CTD-associated PAH. Therefore, we sought to develop recommendations for screening and early detection of CTD-associated PAH. METHODS: We performed a systematic review of the literature on the screening and diagnosis of PAH in CTD. Using the RAND/University of California, Los Angeles consensus methodology, we developed case scenarios followed by 2 stages of voting. First, international experts from a variety of specialties voted anonymously on the appropriateness of each case scenario. The experts then met face-to-face to discuss and resolve discrepant votes to arrive at consensus recommendations. RESULTS: The key recommendation stated that all patients with systemic sclerosis (SSc) should be screened for PAH. In addition, patients with mixed connective tissue disease or other CTDs with scleroderma features (scleroderma spectrum disorders) should be screened for PAH. It was recommended that screening pulmonary function tests (PFTs) with single-breath diffusing capacity for carbon monoxide, transthoracic echocardiogram, and measurement of N-terminal pro-brain natriuretic peptide (NT-proBNP) be performed in all patients with SSc and scleroderma spectrum disorders. In patients with SSc and scleroderma spectrum disorders, transthoracic echocardiogram and PFTs should be performed annually. The full screening panel (transthoracic echocardiogram, PFTs, and measurement of NT-proBNP) should be performed as soon as any new signs or symptoms are present. CONCLUSION: We provide consensus-based, evidence-driven recommendations for screening and early detection of CTD-associated PAH. It is our hope that these recommendations will lead to earlier detection of CTD-associated PAH and ultimately improve patient outcomes.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.081 | 0.235 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.008 |
| Bibliometrics | 0.011 | 0.005 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.006 | 0.004 |
| Research integrity | 0.009 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".