ReviewReviews in cardiovascular medicine2025
Risk Factors for Adverse Outcomes in Connective Tissue Disease-Associated Pulmonary Hypertension.
Review in Reviews in cardiovascular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pulmonary hypertension (PH) is a rare, life-threatening condition that can be associated with connective tissue disease (CTD). The incidence and prevalence of PH in CTD varies by disease, whereby certain disease manifestations are particularly associated with PH; nonetheless, once present, PH is almost uniformly a major driver of adverse outcomes. In this paper, the authors review the published literature on major CTDs, including systemic sclerosis and systemic lupus erythematosus, and summarize the risk factors for developing PH in each disease and risk factors for adverse outcomes and mortality among patients with CTD-PH. This review highlights the need for early diagnosis of PH in CTD and the impact of PH overlap syndromes on patient outcomes, providing the practicing clinician with a practical summary of CTD-PH.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.