Evidence map›Paper›PMID 31304568›Full record

ReviewCurrent rheumatology reports2019

Towards a Better Classification and Novel Therapies Based on the Genetics of Systemic Sclerosis.

Marialbert Acosta-Herrera, Elena López-Isac, Javier Martín

Erratum issuedAbstract readReview
PubMed Publisher
In one paragraph

Review in Current rheumatology reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.7field-weighted citation impact, top 16% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 14 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Marialbert Acosta-HerreraCellular Biology and Immunology, Institute of Parasitology and Biomedicine López-Neyra (IPBLN), CSIC, PTS Granada , Av. del Conocimiento 17, 18016, Armilla, Granada, Spain. m.acostaherrera@ipb.csic.es.
Elena López-IsacCellular Biology and Immunology, Institute of Parasitology and Biomedicine López-Neyra (IPBLN), CSIC, PTS Granada , Av. del Conocimiento 17, 18016, Armilla, Granada, Spain.
Javier MartínCellular Biology and Immunology, Institute of Parasitology and Biomedicine López-Neyra (IPBLN), CSIC, PTS Granada , Av. del Conocimiento 17, 18016, Armilla, Granada, Spain. javiermartin@ipb.csic.es.
Instituto de Parasitología y Biomedicina "López - Neyra" · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of the reviewNowadays, important advances have occurred in our understanding of the pathogenesis of systemic sclerosis (SSc), which is a rare immune-mediated inflammatory disease (IMID) characterized by vascular damage, immune imbalance, and fibrosis. Its etiology remains unknown; nevertheless, both environmental and genetic factors play a major role in the disease. This review will focus on the main advances made in the field of genetics of SSc. RECENT

findingsThe assessment of how interindividual genetic variability affects disease onset and progression has enhanced our knowledge of disease biology, and this will eventually translate in the development of new diagnostic and therapeutic tools, which is the final goal of personalized medicine. We will provide an overview of the most relevant achievements in the genetics of SSc, its shared genetics among IMIDs with special attention on drug repurposing, current challenges for the functional characterization of risk variants, and future directions.

Indexed as

Antirheumatic AgentsArthritis, RheumatoidGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansLupus Erythematosus, SystemicMyositisScleroderma, SystemicAntirheumatic AgentsDrug repositionGenetic risk factorsGenomic medicineSclerodermaSusceptibility loci

Identifiers

PMID31304568
OpenAlexW2957654390

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.