Evidence map›Paper›PMID 33762842›Full record

ArticleInternational journal of general medicine2021

A KRT6A and a Novel KRT16 Gene Mutations in Chinese Patients with Pachyonychia Congenita.

Li Gong, Shuping Guo, Detong Wang, Ting Wang, Xiaoli Ren, Yuting Yuan, Hongzhou Cui

Open access · goldAbstract readCase Reports
In one paragraph

Article in International journal of general medicine, 2021. 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
0.5field-weighted citation impact, top 41% 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, 5 citations in OpenAlex.

  1. Review
  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 1 institution in 1 country.

Li GongDepartment of Dermatology, First Hospital of Shanxi Medical University, Taiyuan, People's Republic of China.
Shuping GuoDepartment of Dermatology, First Hospital of Shanxi Medical University, Taiyuan, People's Republic of China.
Detong WangTonghua Hospital of Traditional Chinese Medicine, Tonghua, People's Republic of China.
Ting WangDepartment of Dermatology, Shanxi Hospital of Integrated Traditional and Western Integrated Medicine, Taiyuan, People's Republic of China.
Xiaoli RenDepartment of Dermatology, First Hospital of Shanxi Medical University, Taiyuan, People's Republic of China.
Yuting YuanDepartment of Dermatology, First Hospital of Shanxi Medical University, Taiyuan, People's Republic of China.ORCID 0000-0003-3238-9287
Hongzhou CuiDepartment of Dermatology, First Hospital of Shanxi Medical University, Taiyuan, People's Republic of China.
Shanxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPachyonychia congenita (PC) is a rare, autosomal dominant genodermatosis characterized by palmoplantar keratoderma, nail dystrophy, cystic lesions, follicular hyperkeratosis, mucosal leukokeratoses, hyperhidrosis, hoarseness, and, rarely, natal teeth. Five keratin genes,

methodsUsing polymerase chain reaction and Sanger sequencing techniques, the purpose of the present study was to investigate the clinical features associated with PC and discover disease-associated variants. The

resultsAcross two independent instances of PC, we identified a previously reported c.1393T>C (p.Tyr465His) mutation in exon 7 of

conclusionThrough phenotype-genotype analysis among PC pedigrees, confirmed diagnoses of PC-K6a and PC-K16 were made in the two patients who presented with symptoms of PC. A new pathogenic mutation site in PC-K16 was potentially discovered.

Indexed as

KRT16 geneKRT6A genepachyonychia congenitalphenotype-genotype

Identifiers

PMID33762842
PMCPMC7982554
OpenAlexW3135923041

What OpenQuestion holds

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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.