ReviewCureus2020
Monoclonal Antibodies Addressed to Factors of Signalization in Keloid Scars: Opportunities and Areas of Action.
Review in Cureus, 2020. 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, 1 citations in OpenAlex.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The advance of technology has made possible the use of new techniques within medicine for the treatment of diseases; monoclonal antibodies are a clear example of this. Keloid scars are one of the most difficult pathologies to treat due to the high percentage of recidivism, formed by the growth of a scar with benign fibrous tissue in genetically predisposed individuals, resulting from a process of inflammation and abnormal scarring. Monoclonal antibodies, being a line of treatment that has increased over the years, can show a new frontier in the treatment of them by focusing on the signaling that causes it. We review the literature on the signaling mechanisms of keloid scars and the possible monoclonal approach.
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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.