Evidence map›Paper›PMID 36937613›Full record

ReviewMedical archives (Sarajevo, Bosnia and Herzegovina)2022

A Review Study Toward Clinical and Histopathological Diagnosis Agreement in Skin Diseases.

Sidita Sopjani, Bengü Nisa Akay, Aferdita Daka

Open access · greenAbstract readReviewCase Reports
In one paragraph

Review in Medical archives (Sarajevo, Bosnia and Herzegovina), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Artificial intelligence-based quantification of epidermal proliferation and apoptosis in human skin.JID innovations : skin science from molecules to population health · 2026
    Article
  2. Article
  3. Article
  4. Review
  5. 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

3 authors at 1 institution in 1 country.

Sidita SopjaniMedical Faculty, University of Prishtina & Department of Dermatovenerology, University Clinical Center of Kosovo, Prishtina, Kosovo.
Bengü Nisa AkayDepartment of Dermatology, Faculty of Medicine, Ankara University, Ankara, Turkey.
Aferdita DakaMedical Faculty, University of Prishtina & Department of Dermatovenerology, University Clinical Center of Kosovo, Prishtina, Kosovo.
Ankara University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: It is important to evaluate the agreement between clinical diagnosis and histopathological diagnosis. The aim of this study was to review studies and to calculate the degree of agreement between clinical and histopathological diagnosis. Objective: The aim of this review was to find out the concordance level between clinical and histopathological diagnosis; to find out in which type of pathology concordance was the highest; to identify the types of pathologies for which biopsy was mostly performed and the anatomical region selected for biopsy. Results and Discussion: Review was carried out in accordance with the PRISMA 2020 flow diagram for the selection of articles that met the criteria (years 2005-2021). Articles were found in Google scholar, PubMed, Scopus databases using different keywords. The main criterion was to involve studies that reported data about clinical and histopathological diagnosis. A mean concordance value was calculated and resulted of 72.8 % (95% CI). Conclusion: To our knowledge, our study was the first review done regarding concordance between clinical and histopathological diagnosis in skin diseases with the aim to provide researchers with enriched literature and encourage them to bring about an appropriate systematic review study.

Indexed as

Skin DiseasesBiopsyHumansclinical diagnosesclinicopathological concordancehistopathological diagnoseshistopathologyskin biopsiessystematic review

Identifiers

PMID36937613
PMCPMC10019864
OpenAlexW4312478200

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.