Evidence map›Paper›PMID 35747053›Full record

ArticleCureus2022

A Prospective Multicenter Study to Evaluate the Safety and Efficacy of the Topical Application of MYOWNN™, an Autologous Growth Factor Concentrate (AGFC) Serum, in Anti-Aging.

B S Chandrashekar, Kalpana Sarangi, Mushtaque A Mastim, Ashima Bhatia, Manishkumar Shah, Vijay Sharma, Mugdha Gupta, Ranjeet Gutte, Anuka Sharma, Ulka Sakhalkar

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 35% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
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

10 authors at 1 institution in 1 country.

B S ChandrashekarDermatology, Cutis Academy of cutaneous sciences, Bengaluru, IND.
Kalpana SarangiDermatology, DKS Clinique, Mumbai, IND.
Mushtaque A MastimGlobal Clinical Development, Wockhardt Ltd., Mumbai, IND.
Ashima BhatiaGlobal Clinical Development, Wockhardt Ltd., Mumbai, IND.
Manishkumar ShahGlobal Clinical Development, Wockhardt Ltd., Mumbai, IND.
Vijay SharmaStem Cell Research, Wockhardt Ltd., Mumbai, IND.
Mugdha GuptaGlobal Clinical Development, Wockhardt Ltd., Mumbai, IND.
Ranjeet GutteGlobal Clinical Development, Wockhardt Ltd., Mumbai, IND.
Anuka SharmaStem Cell Research, Wockhardt Ltd., Mumbai, IND.
Ulka SakhalkarStem Cell Research, Wockhardt Ltd., Mumbai, IND.
Wockhardt (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Growth factors from platelets have been emerging as a revolutionary treatment with the ability to induce cell growth in the skin, which results in retarding and reversing the aging process. Platelet-rich plasma (PRP) allows for greater release of growth factors and biologically active proteins, which in turn activates the cascade of stimulation of neoangiogenesis and collagen production. PRP is used in anti-aging and facial skin rejuvenation in the form of dermal injections and topical application during micro-needling. This study was conducted to assess the safety and efficacy of a topically applied face serum, MYOWNN™ (Wockhardt Ltd., Mumbai, India). MYOWNN™ is an autologous growth factor concentrate that has been made into a topical face serum. Methods Male and female subjects in the age group between 30 and 55 years (both inclusive) with Fitzpatrick skin type III-V who had not taken any oral or topical treatments for at least four weeks before and any platelet-rich plasma (PRP) based facial treatment (injections) at least six months before the study entry were included. MYOWNN™ serum was applied on the face once daily at night, approximately 30 minutes before sleeping preferably, for a total duration of five months. Six parameters, i.e. spots, pores, wrinkles, texture, moisture, and pigmentation, were evaluated at regular intervals with Visage-LS (dermaindia®, Tamil Nadu, India), a face analysis system that gives the live status of these six parameters and is an advanced live status skin detection equipment together with shooting, analyzing, and displaying functions, as well as the subjective analysis, was performed by subjects and physicians using different globally accepted scales like physician's global aesthetic improvement scale (PGAIS), subject's global aesthetic improvement scale (SGAIS), subject satisfaction score (SSS), and wrinkle severity rating scale (WSRS). For analysis, a mixed model for repeated measures was used. The model had change from baseline as the dependent variable visit as a factor and baseline assessment result as a covariate. All primary and secondary efficacy endpoints were analyzed using Modified Intent-to-Treat (mITT) populations. Results Improvement in an average of six anti-aging parameters was observed as early as three months while statistically significant improvement was observed by the end of five months of application. A statistically significant improvement in wrinkles was observed by the end of three months of the application itself. There were no product-related adverse events reported. Conclusions Five months of application of MYOWNN™ serum showed a statistically significant improvement in an average of six parameters of anti-aging and face rejuvenation with a p-value of 0.0150 (<5% level of significance (i.e. 0.05) and was also well-tolerated.

Indexed as

antiaginggrowth factorrejuvenationwrinkleswrinkle severity rating scale

Identifiers

PMID35747053
PMCPMC9208652
OpenAlexW4281259203

What OpenQuestion 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 OpenQuestion graph.