Evidence map›Paper›PMID 39131083›Full record

ArticleFrontiers in medicine2024

Efficacy of autologous micrografts technology: a promising approach for chronic wound healing and tissue regeneration-a pilot study.

Elisabetta Adelaide Baglioni, Franco Perego, Elisa Paolin, Alberto Abate, Tommaso Pusceddu, Barbara Zavan, Maria Alessandra Bocchiotti

Abstract read
In one paragraph

Article in Frontiers in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Skin Micro-Fragments for the Management of Diabetic Foot Ulcers: A Case Series.The international journal of lower extremity wounds · 2025
    Article
  6. Observational
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

7 authors.

Elisabetta Adelaide BaglioniDepartment of Plastic Surgery, University of Turin, Turin, Italy.
Franco PeregoReconstructive and Aesthetic Plastic Surgery, University of Padua, Padua, Italy.
Elisa PaolinHuman Anatomy Unit, Department of Public Health, Experimental, and Forensic Medicine, University of Pavia, Pavia, Italy.
Alberto AbateDepartment of Cardiology, IRCCS San Martino Hospital, University of Genoa, Genoa, Italy.
Tommaso PuscedduDepartment of Translational Medicine, University of Ferrara, Ferrara, Italy.
Barbara ZavanDepartment of Translational Medicine, University of Ferrara, Ferrara, Italy.
Maria Alessandra BocchiottiDepartment of Plastic Surgeon Gynecological and Obstetrician, City of Health and Science of Turin, Turin, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study explores the efficacy of Autologous Micrografts Technology (AMG) in treating chronic wounds refractory to traditional therapies. Methods: AMGs, derived from adipose tissue or dermis using a mechanical fragmentation process, were applied to patients with post-surgical dehiscence. A comprehensive evaluation of wound healing outcomes, including surface area reduction and complete healing, was conducted over a 90-day follow-up period. Additionally, the study investigated the cellular antioxidant activity of AMG solutions and characterized the exosomes obtained through mechanical disaggregation. Results: Results indicate significant improvements ( Discussion: Overall, these findings underscore the promising potential of AMG technology as a versatile and effective treatment option for chronic wounds, warranting further investigation into its mechanisms and clinical applications.

Indexed as

antioxidant activitychronic woundsexosomesmicrograftsregenerative medicine

Identifiers

PMID39131083
PMCPMC11310043

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.