Evidence map›Paper›PMID 27904268›Full record

ArticleAnnals of dermatology2016

Clinicopathological Features and Immunohistochemical Alterations of Keratinocyte Proliferation, Melanocyte Density, Smooth Muscle Hyperplasia and Nerve Fiber Distribution in Becker's Nevus.

Ping Sheng, Yun-Long Cheng, Chuan-Chuan Cai, Wei-Jin Guo, Ying Zhou, Ge Shi, Yi-Ming Fan

Open access · hybridAbstract read
In one paragraph

Article in Annals of dermatology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.8field-weighted citation impact, top 12% 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

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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

4 citing papers in PubMed, 15 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

7 authors at 2 institutions in 1 country.

Ping ShengDepartment of Dermatology, Affiliated Hospital of Guangdong Medical University, Guangdong, China.
Yun-Long ChengDepartment of Dermatology, Affiliated Hospital of Guangdong Medical University, Guangdong, China.
Chuan-Chuan CaiDepartment of Dermatology, Affiliated Hospital of Guangdong Medical University, Guangdong, China.
Wei-Jin GuoDepartment of Dermatology, Gaobu Hospital of Dongguan, Guangdong, China.
Ying ZhouDepartment of Dermatology, Affiliated Hospital of Guangdong Medical University, Guangdong, China.
Ge ShiDepartment of Dermatology, Affiliated Hospital of Guangdong Medical University, Guangdong, China.
Yi-Ming FanDepartment of Dermatology, Affiliated Hospital of Guangdong Medical University, Guangdong, China.
Guangdong Medical College · CNDongguan People’s Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough Becker's nevus (BN) is a relatively common disease, the systematic studies of clinicopathological and immunohistochemical results are poorly reported.

objectiveTo investigate the clinicopathological features and immunohistochemical alterations of keratinocyte proliferation, melanocyte density, smooth muscle hyperplasia and nerve fiber distribution in BN.

methodsClinical and pathological data were collected in 60 newly-diagnosed BN cases. Immunohistochemical stain of Ki-67, Melan-A, keratin 15, smooth muscle actin and protein gene product 9.5 was performed in 21 cases.

resultsThe median diagnostic and onset age was 17 and 12 years, respectively. Skin lesions usually appeared on the upper trunk and upper limbs. The pathological features included the rete ridge elongation and fusion and basal hyperpigmentation. Epidermal Ki-67, Melan-A and keratin 15 expression and dermal nerve fiber length were significantly higher in lesional and perilesional skin than in normal skin (

conclusionAlthough the clinical diagnosis of BN is often straightforward, histopathology is helpful to differentiate from other pigmentary disorders. The hyperproliferation of keratinocytes, melanocytes, arrector pili muscle and dermal nerve fibers could be involved in the pathogenesis of BN.

Indexed as

Becker's nevusKeratinocytesKeratinsMelanocytes

Identifiers

PMID27904268
PMCPMC5125950
OpenAlexW2558261844

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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.