Evidence map›Paper›PMID 40476635›Full record

Trial reportJournal of cosmetic dermatology2025

Poly-L-Lactic Acid Combined With CO

Chenxi Zhou, Weiliang Chen, Liyuan Zhang, Xiao Luo, Lin Zhu, Erting Zhang, Kai Li, Xiaolei Qin

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of cosmetic dermatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  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.

Chenxi ZhouDEXI Clinc, DE YI Skin, Xi'an, Shanxi, China.
Weiliang ChenDEXI Clinc, DE YI Skin, Xi'an, Shanxi, China.
Liyuan ZhangDEXI Clinc, DE YI Skin, Xi'an, Shanxi, China.
Xiao LuoDEXI Clinc, DE YI Skin, Xi'an, Shanxi, China.
Lin ZhuDEYUE Clinc, DE YI Skin, Shenzhen, China.
Erting ZhangDEYUE Clinc, DE YI Skin, Shenzhen, China.
Kai LiDEXI Clinc, DE YI Skin, Xi'an, Shanxi, China.
Xiaolei QinDEYUE Clinc, DE YI Skin, Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe treatment of acne scars has always been challenging. In the past, its gold standard treatment was carbon dioxide (CO

aimsTo determine the safety and effectiveness of PLLA (Loviselle) combined with a CO

methodsIn this study, 60 patients were randomly divided into two groups, with 30 patients in each group. Group A received only CO

resultsThere were statistically significant differences in the Quantitative Global Scarring Grading System (GSS) scores between the two groups before and after treatment. Group B had lower GSS scores than Group A. In the treatment of different types of acne scars using the Acne Scar Rating Scale, the improvement in rolling scars was greater than that in boxcar scars, and both were greater than those in ice-pick scars. Whether evaluated by independent physicians' assessment of treatment improvement or patients' satisfaction questionnaire, the combined treatment group showed better results than the single treatment group, and there were statistically significant differences between the two groups. Adverse reactions included transient redness, bruising, and pigmentation.

conclusionsThe combination of CO

Indexed as

Acne VulgarisCicatrixLasers, GasLow-Level Light TherapyPolyestersAdolescentAdultCombined Modality TherapyFemaleHumansMalePatient SatisfactionSeverity of Illness IndexTreatment OutcomeYoung AdultPolyesterspoly(lactide)acne scarCO2 fractional laserPLLApoly‐L‐lactic acid

Identifiers

PMID40476635
PMCPMC12143118

What OpenQuestion holds

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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.