Evidence map›Paper›PMID 40729202›Full record

ArticleReports (MDPI)2023

Heterologous Platelet-Rich Plasma in the Treatment of Severe Skin Damage.

Cristina Vocca, Francesco Romano, Gianmarco Marcianò, Vincenzo Cianconi, Davida Mirra, Andrea Dominijanni, Giovambattista De Sarro, Luca Gallelli

Abstract readCase Reports
In one paragraph

Article in Reports (MDPI), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Cristina VoccaOperative Unit of Pharmacology and Pharmacovigilance, "Renato Dulbecco" University Hospital, 88100 Catanzaro, Italy.
Francesco RomanoDepartment of Primary Care, ASP 7, 88100 Catanzaro, Italy.
Gianmarco MarcianòOperative Unit of Pharmacology and Pharmacovigilance, "Renato Dulbecco" University Hospital, 88100 Catanzaro, Italy.ORCID 0000-0003-1478-9551
Vincenzo CianconiDentirsty Unit, 00118 Rome, Italy.
Davida MirraDepartment of Environmental Biological and Pharmaceutical Sciences and Technologies, University of Campania "Luigi Vanvitelli", 81100 Caserta, Italy.
Andrea DominijanniImmunohaematology and Transfusion Medicine Unit, "Renato Dulbecco" University Hospital, 88100 Catanzaro, Italy.
Giovambattista De SarroOperative Unit of Pharmacology and Pharmacovigilance, "Renato Dulbecco" University Hospital, 88100 Catanzaro, Italy.ORCID 0000-0002-7629-6579
Luca GallelliOperative Unit of Pharmacology and Pharmacovigilance, "Renato Dulbecco" University Hospital, 88100 Catanzaro, Italy.ORCID 0000-0003-0858-7902

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accidental soft tissue injuries are a frequent injury. Platelet-rich plasma (PRP) is an interesting therapeutic option for wounds and skin damage. In this case report, we describe a 37-year-old man that presented to our ward of pain medicine for an accidental severe leg injury associated with skin and soft tissue loss, with severe pain and poor sensation. History revealed the use of recreational drugs without viral infections or systemic diseases. Wound debridement, wound dressings, systemic antibiotics (amoxicillin 1000 mg tid and azithromycin 500 mg od), and non-steroidal anti-inflammatory drugs (ibuprofen 600 mg bid) reduced pain but did not improve the skin and soft tissue. A fibrin membrane with concentrated growth factors was applied, yielding an improvement in the injury in 16 months without the need for skin grafting.

Indexed as

concentrated growth factorsfibrin membranesPRPsoft tissue injury

Identifiers

PMID40729202
PMCPMC12225494

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.