Evidence map›Paper›PMID 31114282›Full record

ArticleClinical, cosmetic and investigational dermatology2019

Occasional acne; an acne variant.

Yaser Taha Melibary, Salim Alkeraye, Kholood Abdulaziz Alnutaifi, Nouran Taha Melibary, Mariam Khalfan Alsuwaidi, Haitham Ibrheem Algzlan

Open access · goldAbstract read
In one paragraph

Article in Clinical, cosmetic and investigational dermatology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 94% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 4 institutions in 2 countries.

Yaser Taha MelibaryPrivate Cinic for Dermatology, Allergy and Aesthetic Medicine, Coesfeld, Muensterland, Germany.
Salim AlkerayeDepartment of Dermatology, College of Medicine, King Saud University, Riyadh, Saudi Arabia.
Kholood Abdulaziz AlnutaifiDepartment of Dermatology, National Guard Hospital, Dammam, Eastern Province, Saudi Arabia.
Nouran Taha MelibaryDepartment of Family Medicine, Prince Sultan Military Hospital, Riyadh, Saudi Arabia.
Mariam Khalfan AlsuwaidiDepartment of Dermatology, Sheikh Khalifa Medical City, Abu Dhabi, UAE.
Haitham Ibrheem AlgzlanDepartment of Dermatology, Ichan School of Medicine at Mount Sinai, New York, NY, USA.
King Saud University · SANational Guard Health Affairs · SARiyadh Armed Forces Hospital · SAShaikh Khalifa Medical City · AE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article is about a common skin eruption that dermatologists face regularly in their clinics. It is a form of acne that patients frequently refer to as nightshifts acne, stress acne or airplane acne (after experiencing a prior occasion that might aggravate it). Physical or psychological stress is not the only causative factor, therefore we took into consideration of naming it based on its presentation irrespectively of the skin proneness to acne and self-limiting tendency, we name the entity as "occasional acne". This article will discuss the similarities and differences between this entity and other forms of acne, as well as different causative factors that are involved in the eruption. These factors vary individually whether single or multiple factors might provoke it; maladaptation driven by mental and/or physical stress, temporary imbalance of sebum lipids and nicotine effect, etc.

Indexed as

acneairplane acnenight shifts acnetemporary acne

Identifiers

PMID31114282
PMCPMC6489559
OpenAlexW2939195468

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.