ReviewCurrent rheumatology reports2014
Personalized medicine in systemic sclerosis: facts and promises.
Review in Current rheumatology reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
6 citing papers in PubMed, 22 citations in OpenAlex.
- Review
- Detection and classification of systemic sclerosis-related interstitial lung disease: a review.Current opinion in rheumatology · 2019Review
- Clinical Applications of System Regulation Medicine.Open access Macedonian journal of medical sciences · 2019Review
- Evaluation ofArthritis research & therapy · 2018Article
- Review
- Systemic sclerosis and localized scleroderma--current concepts and novel targets for therapy.Seminars in immunopathology · 2016Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The concept of personalized medicine has led to a paradigm shift in recent years. It integrates multiple clinical and biological levels of investigation aimed at offering the best possible and patient-tailored healthcare. This holds great potential in a rare and heterogeneous disease such as systemic sclerosis (SSc). The development of validated clinical screening algorithms and the identification of predictors for disease outcomes can help in stratifying patients according to their individual risk of progression. The ongoing search for biomarkers and key pathogenic molecules has brought valuable insights into molecular networks operative in SSc. In parallel, genetic and genomic studies have revealed new SSc susceptibility loci and validated gene expression profiles that might identify patients benefiting from specific therapies. In this review, we focus on recent findings relevant for the concept of personalized medicine in patients with SSc.
Indexed as
Identifiers
What OpenQuestion holds
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.