ArticleThe Journal of investigative dermatology2017
Leveraging Molecular Data Analysis to Understand Drug Response in Systemic Sclerosis.
Article in The Journal of investigative dermatology, 2017. 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.
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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.
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0 citing papers in PubMed, 1 citations in OpenAlex.
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Funding
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Abstract
Taroni et al. integrate and analyze genomic information generated from different clinical trials on systemic sclerosis, a disease for which there is yet no Food and Drug Administration-approved therapy. By using a recent network analysis approach based on tissue-specific functionality, they leverage the biological information extracted from molecular profiling studies and report findings that could be useful for patient stratification.
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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 OpenQuestion graph.