Evidence map›Paper›PMID 36992970›Full record

ArticleClinical, cosmetic and investigational dermatology2023

Efficacy of Fractional Carbon Dioxide (CO

Maha Fathy Elmasry, Moemena Maher Fathi Khalil, Ashraf Badawi, Naglaa Sameh Zaki, Aya Fahim

Open access · goldAbstract read
In one paragraph

Article in Clinical, cosmetic and investigational dermatology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
1.7field-weighted citation impact, top 16% 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Review
  5. Article
  6. Article
  7. 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

5 authors at 1 institution in 2 countries.

Maha Fathy ElmasryDepartment of Dermatology, Faculty of Medicine, Cairo University, Cairo, Egypt.ORCID 0000-0002-3873-3897
Moemena Maher Fathi KhalilDepartment of Dermatology, Quesna Central Hospital, Menofia, Egypt.
Ashraf BadawiDepartment of Medical Laser Applications, National Institute of Laser Enhanced Sciences, Cairo University, Cairo, Egypt.ORCID 0000-0002-3268-7498
Naglaa Sameh ZakiDepartment of Dermatology, Faculty of Medicine, Cairo University, Cairo, Egypt.
Aya FahimDepartment of Dermatology, Faculty of Medicine, Cairo University, Cairo, Egypt.ORCID 0000-0001-5609-0437
Cairo University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Acanthosis nigricans (AN) is a common chronic skin disorder clinically presents by velvety hyperpigmented lesions mainly at the flexural areas. Fractional photothermolysis has been reported to improve both pigmentary and textural changes by removing thin layers of skin with minimal thermal damage. Other options are the Q-switched (Qs) Nd:YAG (1064 nm) and Qs KTP (532 nm) lasers. Both can induce collagen remodeling by dermal photo-mechanical microdamage. Aim of the Work: The aim of this study was to assess the clinical efficacy and the safety of fractional CO Methods: This randomized-controlled split neck study was conducted on 23 patients suffering from AN. For each patient, one side of the neck was randomly assigned to fractional CO Results: There was no statistically significant difference regarding the clinical improvement between the side treated with Fractional CO Conclusion: In this study, we concluded that both fractional CO

Indexed as

acanthosis nigricansANASI scorefractional CO2 laserQ-switched KTP laserQ-switched Nd:YAG laser

Identifiers

PMID36992970
PMCPMC10042172
OpenAlexW4353070761

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.