Evidence map›Paper›PMID 35698587›Full record

ArticleSkin appendage disorders2022

COVID-19 Pandemic Impact on Severe Alopecia Areata Patients.

Mehdi Gheisari, Khatere Zahedi, Zohreh Tehranchinia, Hamideh Moravvej, Fahimeh Abdollahimajd, Sahar Dadkhahfar

Open access · bronzeAbstract read
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Article in Skin appendage disorders, 2022. 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 75% 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 1 institution in 1 country.

Mehdi GheisariSkin Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Khatere ZahediDepartment of Dermatology, Loghman Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Zohreh TehranchiniaSkin Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Hamideh MoravvejSkin Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Fahimeh AbdollahimajdSkin Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Sahar DadkhahfarSkin Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Shahid Beheshti University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The pandemic of COVID-19 has several implications for patients with chronic stress-sensitive diseases such as alopecia areata (AA). On the other hand, the vulnerability of AA patients using immunosuppressives to a more severe infection is in the shadow of ambiguity. This teledermatology study aimed to evaluate the course and outcome of AA in patients during this challenging period. Methods: Patients with AA who had previously received systemic therapy included in this study. Information about demographic data, AA history, characteristics, and treatments, hair loss progression, Corona Disease Anxiety Scale (CDAS), adherence to protective measures against the COVID-19, possible infection, and its features obtained via a telephone call. Results: A total of 57 patients participated. The majority (84.2%) of the participants had mild anxiety assessed by CDAS. Two patients (3.5%) had got infected with COVID-19. Twenty-one (36.8%) participants experienced hair loss progression. Hair loss progression correlated with drug dose reduction (OR: 46.09, 95% CI 5.48-387.14, Conclusion: The anxiety perceived by severe AA patients about COVID-19 is mild; however, many experience hair loss progressions owing to their drug dose reduction.

Indexed as

Alopecia areataAnxietyCOVID-19

Identifiers

PMID35698587
PMCPMC8805067
OpenAlexW4200130920

What OpenQuestion holds

Textmetadata
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Registered trials

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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.