Evidence map›Paper›PMID 35280640›Full record

ArticleJournal of family medicine and primary care2021

Management patterns for skin aging among Saudi dermatologists: A questionnaire-based study.

Mohammad Almohideb

Open access · goldAbstract read
In one paragraph

Article in Journal of family medicine and primary care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 70% 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, 2 citations in OpenAlex.

  1. Review
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

1 author at 1 institution in 1 country.

Mohammad AlmohidebDepartment of Dermatology, College of Medicine, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.
King Saud bin Abdulaziz University for Health Sciences · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Skin aging is a complicated process affected by intrinsic, chronological, and extrinsic, environmental, determinants, and it is affected, to a large extent, by exposure to ultraviolet radiation (UVR). The present study aims to assess the antiaging treatment strategies in a real-world setting in Saudi Arabia. Materials and Methods: We conducted an online cross-sectional survey that was conducted from May 2020 to October 2020, involving all eligible dermatologists working at different academic, governmental, and private sectors in Saudi Arabia. Results: A total of 200 dermatologists were included in this study, of them, 33% were aged between 24-35 years. 28.5%, 25.5%, 24.5%, and 21.5% of the participants had 7-10, 4-6, >10, and 0-3 years of practice, respectively. Generally, 80 (40%) of the dermatologists reported that 10-20% of their patients consulting for antiaging, while 50 (25%) reported that 41-60% of their patients consulted for antiaging treatment. Cream products were preferred by 105 (52.5%) of the users. In general, 158 (79%) prescribe growth factors Post-procedures, while 29 (14.5), 24 (12%), and 22 (11%) prescribe them for under-eye dark circles, acne scars, and aging skin, respectively. 124 (62%) prefer to use it in combination with retinoids. Conclusion: The results of this survey indicate the fact that female patients and the age group 31-40 years old are more likely to seek skincare and antiaging therapy. Most dermatologists prescribed growth factors together with retinoids and only a small proportion of them used growth factors are antiaging modalities.

Indexed as

AntiagingdermatologistSaudiskin aging

Identifiers

PMID35280640
PMCPMC8884301
OpenAlexW4206725269

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.