Evidence map›Paper›PMID 36387966›Full record

ArticleClinical, cosmetic and investigational dermatology2022

The Combination of Red and Blue Light, Radiofrequency and Intense Pulsed Light for the Treatment of Facial Postacne Erythema.

Yanping Liang, Lili Li

Open access · goldAbstract read
In one paragraph

Article in Clinical, cosmetic and investigational dermatology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

2 authors at 1 institution in 1 country.

Yanping LiangDepartment of Dermatology, People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, People's Republic of China.
Lili LiDepartment of Dermatology, People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, People's Republic of China.
The People's Hospital of Guangxi Zhuang Autonomous Region · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Postacne erythema, also referred to as postinflammatory erythema, is a common sequela in acne patients. At present, there is no specific treatment for postacne erythema, and some treatment drugs can even aggravate facial erythema. Objective: Our research sought to evaluate the efficacy of a combination therapy of LED red and blue light, radiofrequency (RF) and intense pulsed light (IPL) for the treatment of postacne erythema. Methods: Patients were treated with red and blue light for 2 weeks, followed by RF for 4 treatments over 8 weeks. Finally, patients were treated with intense pulsed light for 16 weeks. Therapeutic outcomes were evaluated by erythema index, postacne erythema severity grading and clinical photography. Results: After 3 stages of treatment, the percentage of excellent subjects was 79.2%, the percentage of good subjects was 17.2%, and the total effective rate was 96.4%. The mean erythema index decreased from 496.17±79.11 to 89.32±81.58 (p<0.01) after treatment. The postacne erythema lesions were rated clear in 22.4%, faint erythema in 74.4%, dull red in 2.8% and deep red only in 0.4% of subjects after three-stage treatments. Conclusion: Our results show that the combination of red and blue light therapy, RF therapy and IPL therapy is more effective than other treatments reported for facial postacne erythema.

Indexed as

intense pulsed lightpostacne erythemaradio-frequencyred and blue light

Identifiers

PMID36387966
PMCPMC9651013
OpenAlexW4308320693

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.