Evidence map›Paper›PMID 34934727›Full record

ArticleIndian dermatology online journal

Pattern of Skin Diseases in Geriatric Population: Our Year-Long Experience from Nepal.

Shraddha Uprety, Sangeeta Paudel, Pratichya Thapa

Open access · diamondAbstract read
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Article 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 45% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Shraddha UpretyDepartment of Dermatology, Chitwan Medical College and Teaching Hospital, Bharatpur, Chitwan, Nepal.
Sangeeta PaudelDepartment of Dermatology, Chitwan Medical College and Teaching Hospital, Bharatpur, Chitwan, Nepal.
Pratichya ThapaDepartment of Dermatology, Chitwan Medical College and Teaching Hospital, Bharatpur, Chitwan, Nepal.
Chitwan Medical College · NP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe average life span has increased by about two decades in Nepal in last 30 years. With increasing longevity, geriatric health care is gaining much more importance. The statistical data regarding the geriatric skin disorders in Nepalese population is limited. The aim of this study to look for the patterns of skin diseases in the geriatric population of Nepal. METHODOLOGY: This is a retrospective, descriptive study where we reviewed the database of patients visiting the dermatology outpatient department of multispeciality teaching hospital in Nepal from August 2016 to July 2017. All patients from the age of 60 and above were included in the study. Data was analyzed using SPSS version 20. Chi square test was done where relevant.

resultTotal of 918 patients were included in the study with mean age of 69 years. Most common presentation was that of dermatitis (32.2%) which was followed by infectious condition (29.4%), pruritus (7.4%), psoriasis (4.6%), urticaria (3.9%), miliaria (3.9%) and others. Among the dermatitis, 23% of the patients had hand or feet eczema and 23% had sebohrreic dermatitis. Variability according to weather was noticed with in presentation of sebohrreic dermatitis, dermatophytic infections, miliaria and herpes zoster.

conclusionThis study concludes that dermatitis, infections and pruritus are the most significant dermatological morbidities in our population. It highlights the need of zoster vaccine for our elderly population as it is not a part of the routine vaccination scheme in Nepal.

Indexed as

Dermatophytic infectionseczemageriatric dermatologyherpes zosterpost herpetic neuralgia

Identifiers

PMID34934727
PMCPMC8653744
OpenAlexW3216322325

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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.