Evidence map›Paper›PMID 39184705›Full record

ArticleCureus2024

Pattern of Skin Diseases at a Dermatology Center: A Retrospective Study.

Suhasini Krishnan, Khalifa Almheiri

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  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

2 authors.

Suhasini KrishnanMedicine, Dubai Academic Health Corporation, Dubai, ARE.
Khalifa AlmheiriDermatology, Dubai Health, Dubai , ARE.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionFactors such as location, climate, dietary habits, and socioeconomic status as well as age and gender all directly influence the development of certain skin disorders. Whilst the pattern of skin diseases has been studied in the Middle East region previously, data on the incidence of these conditions in the United Arab Emirates (UAE) is lacking. This retrospective study aims to identify the types and frequency of dermatological disorders encountered at a dermatology outpatient clinic in Dubai, UAE.

methodsElectronic medical records obtained from the outpatient clinic of the Dermatology Department at Rashid Hospital, from January 1, 2021, to January 1, 2022, were retrospectively assessed. We only included new patients who visited the clinic for the first time. Patient data was analyzed based on their clinical diagnosis and were then grouped as per age, gender, and diagnosis.

resultsA total of 5969 new patient encounters were recorded in 12 months, a majority of which were female patients, 3526 visits (n=3526, 59.1%). The frequency of visits made by male patients was 2443 (n=2443, 40.9%). The 10 most frequently encountered conditions were the following: acne (17.6%), unspecified dermatitis (9.9%), atopic dermatitis (5.5%), viral warts (4.5%), seborrheic dermatitis (4.3%), psoriasis (4.2%), dermatophytosis (3.5%), xerosis cutis (3.1%), non-scarring hair loss (2.1%), rash and other non-specific skin eruption (2.1%).

conclusionAcne was the most prevalent skin condition seen in the clinic year-round, followed by dermatitis. The pattern of skin diseases can be a good indicator for community health and in planning preventative and therapeutic strategies. Involving primary care physicians in the management of these conditions can lead to an earlier diagnosis and management, thereby improving the quality of patients' lives.

Indexed as

dermatological disordersdermatologyoutpatientoutpatient clinicprevalence

Identifiers

PMID39184705
PMCPMC11343481

What OpenQuestion holds

Textmetadata
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.