Evidence map›Paper›PMID 39835050›Full record

ReviewCureus2024

Connecting the Past and Present: An Updated Literature Review of Aquagenic Syringeal Acrokeratoderma.

Justin Lindsay, Aurelia R Incristi, Amelia Liu, Bryson Arnett, Marcelo Costa, Christian Chong

Abstract readReview
In one paragraph

Review in Cureus, 2024. 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
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.

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.

Justin LindsayMedicine, Wright State University Boonshoft School of Medicine, Dayton, USA.
Aurelia R IncristiMedicine, Wright State University Boonshoft School of Medicine, Dayton, USA.
Amelia LiuMedicine, Wright State University Boonshoft School of Medicine, Dayton, USA.
Bryson ArnettMedicine, Wright State University Boonshoft School of Medicine, Dayton, USA.
Marcelo CostaMedicine, Wright State University Boonshoft School of Medicine, Dayton, USA.
Christian ChongInternal Medicine, Kettering Health Network, Kettering, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aquagenic syringeal acrokeradermatoma (ASA) is a dermatological condition characterized by the transient appearance of edematous, white, translucent papules on the palms, typically triggered by water exposure. While ASA is most commonly associated with cystic fibrosis (CF) and predominantly affects young females, there has been a significant increase in ASA cases since the most recent update in 2015. The COVID-19 pandemic increased the number of patients diagnosed with ASA following exposure to the viral infection. The growing body of literature suggests a multifactorial etiology for ASA, with potential links to CF, medication use, and possibly COVID-19-related behavioral changes. Due to the recent increase in cases of ASA, an updated review seeks to quantify the existing literature that has been published on the prevalence of this condition. This review sought to find those newly diagnosed cases between the years 2014 and 2024. Through a literature review, we were able to find 57 cases of ASA since the last significant update to the total number of cases found in the literature. This review includes the prevalence of CF, a known etiology of ASA, as well as demographic information and known status of exposure to COVID-19.

Indexed as

aquagenic palmoplantar keratodermaaquagenic pruritusaquagenic syringeal acrokeratodermaaquagenic wrinklingaquagenic wrinkling of palms

Identifiers

PMID39835050
PMCPMC11743320

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.