Evidence map›Paper›PMID 37445386›Full record

ReviewJournal of clinical medicine2023

Nanofat in Plastic Reconstructive, Regenerative, and Aesthetic Surgery: A Review of Advancements in Face-Focused Applications.

Simone La Padula, Martina Ponzo, Mariagiovanna Lombardi, Vincenzo Iazzetta, Concetta Errico, Gianmarco Polverino, Francesca Russo, Luca D'Andrea, Barbara Hersant, Jean Paul Meningaud and 2 more

Registry-linked trialAbstract readReview
In one paragraph

Review in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06977607 (Comparative Study Between Platelet- Rich Fibrin Versus Nano-Fat in Improving Facial Nerve Regeneration After Traumatic Injury), which is not on this map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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.

NCT06977607 naactive not recruitingnot on this mapstarted 2024, after this paper: background citation

Comparative Study Between Platelet- Rich Fibrin Versus Nano-Fat in Improving Facial Nerve Regeneration After Traumatic Injury

TypeinterventionalSponsorAssiut UniversityRan2024 to 2026Enrolled21ConditionsFacial Nerve Injuries, Facial TraumaArmsPlatelets Rich Fibrin, Nano-fat stem cells (NFSCs), Repair only
3 · Its place in the literature

Who cites it

35 citing papers in PubMed.

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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

12 authors.

Simone La PadulaDepartment of Plastic and Reconstructive Surgery, Federico II University of Naples, Via Pansini 5, 80131 Naples, Italy.ORCID 0000-0003-3543-9024
Martina PonzoDepartment of Plastic and Reconstructive Surgery, Federico II University of Naples, Via Pansini 5, 80131 Naples, Italy.
Mariagiovanna LombardiDepartment of Plastic and Reconstructive Surgery, Federico II University of Naples, Via Pansini 5, 80131 Naples, Italy.
Vincenzo IazzettaDepartment of Plastic and Reconstructive Surgery, Federico II University of Naples, Via Pansini 5, 80131 Naples, Italy.
Concetta ErricoDepartment of Plastic and Reconstructive Surgery, Federico II University of Naples, Via Pansini 5, 80131 Naples, Italy.ORCID 0009-0006-5526-1824
Gianmarco PolverinoDepartment of Plastic and Reconstructive Surgery, Federico II University of Naples, Via Pansini 5, 80131 Naples, Italy.
Francesca RussoDepartment of Plastic and Reconstructive Surgery, Federico II University of Naples, Via Pansini 5, 80131 Naples, Italy.
Luca D'AndreaDepartment of Plastic and Reconstructive Surgery, Federico II University of Naples, Via Pansini 5, 80131 Naples, Italy.ORCID 0000-0002-1964-4899
Barbara HersantDepartment of Plastic, Reconstructive and Maxillo-Facial Surgery, Henri Mondor Hospital, University Paris, XII, 51 Avenue du Maréchal de Lattre de Tassigny, 94000 Créteil, France.
Jean Paul MeningaudDepartment of Plastic, Reconstructive and Maxillo-Facial Surgery, Henri Mondor Hospital, University Paris, XII, 51 Avenue du Maréchal de Lattre de Tassigny, 94000 Créteil, France.
Giovanni SalzanoMaxillofacial Surgery Unit, Federico II University of Naples, 80131 Naples, Italy.ORCID 0000-0003-3947-8733
Rosita PensatoDepartment of Plastic and Reconstructive Surgery, Federico II University of Naples, Via Pansini 5, 80131 Naples, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nanofat is a relatively novel technique in fat grafting that has gained significant interest in the fields of regenerative medicine, aesthetic and translational research. It involves the extraction of autologous fat from a patient, which is then transformed into "nanofat", consisting of small fat particles with a diameter of less than 0.1 mm and containing high concentrations of stem cells and growth factors. This article focuses on the use of nanofat in facial rejuvenation and its potential for lipomodelling. Fat tissue is a "stem cell depot" and nanofat contains many stem cells that can differentiate into various cell types. The Lipogem technology, developed in 2013, enables the isolation of nanofat with an intact perivascular structure, utilizing the high concentration of mesenchymal stromal cells near the pericytes of the adipose vascular system. Nowadays nanofat is used primarily for cosmetic purposes particularly in rejuvenating and improving the appearance of the skin, especially the face. Indeed, it has wide applicability; it can be used to treat fine lines, wrinkles, acne scars, sun-damaged skin, scar repair, and as an alopecia treatment. However, further studies are needed to assess the long-term efficacy and safety of this technique. In conclusion, nanofat is a safe and minimally invasive option for tissue regeneration with considerable therapeutic potential. This study reviews the application and effects of nanofat in regenerative medicine and facial cosmetic surgery.

Indexed as

a reviewfacial rejuvenationfat graftlipomodellingnanofatregenerative medicinestromal vascular tissue

Identifiers

PMID37445386
PMCPMC10342690

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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.