Evidence map›Paper›PMID 42070267›Full record

ArticleLasers in surgery and medicine2026

Tissue Micro-Coring Is a Safe and Effective Option for the Treatment of the Nasolabial Fold, Marionette, and Perioral Rhytids.

Omar A Ibrahimi, Mathew M Avram, H Ray Jalian, Nazanin Saedi

Abstract read
In one paragraph

Article in Lasers in surgery and medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Omar A IbrahimiConnecticut Skin Institute, Stamford, Connecticut, USA.
Mathew M AvramHarvard Medical School, Boston, Massachusetts, USA.
H Ray JalianPrivate Practice, Los Angeles, California, USA.
Nazanin SaediDermatology Associates of Plymouth Meeting Plymouth Meeting, Pennsylvania, USA.

Funding

Cytrellis Biosystems, Inc
6 · The paper itself

Abstract

backgroundNon-surgical treatment of the aging lower face remains a therapeutic challenge. Tissue Micro-Coring Technology (MCT) is a novel technology that permits the non-surgical removal of skin as micro-cores, tightening skin and inducing collagen and elastin.

objectiveTo evaluate safety and efficacy of MCT for the treatment of the aging lower face.

methodsThis retrospective, single-site study assessed outcomes for subjects treated with MCT. Assessments included the change from baseline in Lemperle Wrinkle Severity Scale (LWSS) assessed for the nasolabial folds (NLF), marionette lines, lip lines, and global esthetic improvement scale (I-GAIS).

resultsA total of 10 patients met the study criteria. Mean (SD) I-GAIS was 1.7 (0.36), and mean (SD) change from baseline in LWSS for NLF, marionette lines, and lip lines were 1.1 (0.46), 1.3 (0.3), and 0.6 (0.35), respectively. Most subjects had some improvement in LWSS across all three treatment areas, with many experiencing > 1-point improvements. LIMITATIONS: Limitations include the retrospective study design, small study population, and single-sex population.

conclusionIn the real-world setting, MCT leads to improvements in global appearance and wrinkle severity. MCT is an effective alternative to injectable fillers for the treatment of nasolabial fold and marionette and perioral lines.

Indexed as

Cosmetic TechniquesNasolabial FoldRhytidoplastySkin AgingAgedEstheticsFemaleHumansMaleMiddle AgedRejuvenationRetrospective StudiesTreatment Outcomecosmeticefficacyestheticmicro‐coringminimally‐invasivenon‐ablativenonsurgicalrhytidsskin agingwrinkles

Identifiers

PMID42070267
PMCPMC13371808

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.