Evidence map›Paper›PMID 36386742›Full record

ReviewIndian dermatology online journal

IADVL SIG Pediatric Dermatology (Academy) Recommendations on Childhood Alopecia Areata.

Bhumesh K Katakam, Biswanath Behera, Pss Ranugha, Neerja Puri, T Narayana Rao, Ram Gulati, K A Seetharam

Open access · diamondAbstract readReview
In one paragraph

Review in Indian dermatology online journal. 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
0.7field-weighted citation impact, top 30% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  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

7 authors at 4 institutions in 1 country.

Bhumesh K KatakamDepartment of Dermatology, Venereology and Leprology, Government Medical College/Hospital, Suryapet, Telangana, India.
Biswanath BeheraDepartment of Dermatology and Venereology, AIIMS, Bhubaneswar, Odisha, India.
Pss RanughaDepartment of Dermatology, JSS Medical College and Hospital, JSSAHER, Mysore, Karnataka, India.
Neerja PuriDepartment of Dermatology, GGS Medical College, Faridkot, Punjab, India.
T Narayana RaoDepartment of Dermatology, MIMS, Vijayanagaram, Andhra Pradesh, India.
Ram GulatiDepartment of Dermatology, Consultant Dermatologist, SDM Hospital, Jaipur, Rajasthan, India.
K A SeetharamDepartment of Dermatology, Venereology and Leprology, GSL Medical College, Rajahmundry, Andhra Pradesh, India.
All India Institute of Medical Sciences Bhubaneswar · INGSL Medical College & General Hospital · INGuru Gobind Singh Medical College and Hospital · INJSS Medical College and Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alopecia areata (AA) is a chronic inflammatory disease characterized by nonscarring alopecia. In contrast to adult onset AA, the epidemiology, clinical characteristics, and therapy of childhood AA are less explored. This study aims at providing recommendations for the management of childhood AA. The special interest group (SIG) in pediatric dermatology under the Indian Association of Dermatology, Venereology and Leprosy (IADVL) conducted online meetings from February 2021 to September 2021, intending to identify the critical aspects in the diagnosis and treatment of AA. The classification, diagnosis, and tools for assessment of disease activity of childhood AA have been described in this study, along with recommendations for topical and systemic therapy, including newer therapeutic options.

Indexed as

Alopecia areatachildhoodrecommendationstrichoscopy

Identifiers

PMID36386742
PMCPMC9650746
OpenAlexW4309368962

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.