Evidence map›Paper›PMID 38810039›Full record

ReviewDermatology practical & conceptual2024

Identifying SCC Lesions Capable of Spontaneous Regression by Using Immunohistochemistry: A Systematic Review and Meta-Analysis.

Maryam Hedayati, Behzad Garousi, Zahrasadat Rezaei, Yasaman Nazerian, Younes Yassaghi, Arian Tavasol, Dorsa Bahrami Zanjanbar, Sanaz Sharifpour, Amir Golestani, Mansoor Bolideei and 1 more

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PubMed Full text at PMC Publisher
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Review in Dermatology practical & conceptual, 2024. 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
–field-weighted citation impact
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.

  1. Article
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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

11 authors.

Maryam HedayatiZhejiang University School of Medicine, Hangzhou, China.
Behzad GarousiDepartment of Pathology, Karolinska Institute, Stockholm, Sweden.
Zahrasadat RezaeiDepartment of Pathology, Karolinska Institute, Stockholm, Sweden.
Yasaman NazerianSchool of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Younes YassaghiSchool of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Arian TavasolStudent Research Committee, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Dorsa Bahrami ZanjanbarPharmaceutical Science Research Center, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran.
Sanaz SharifpourIslamic Azad University Tehran Medical Branch, Tehran, Iran.
Amir GolestaniStudents Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.
Mansoor BolideeiThe Center for Biomedical Research, Ministry of Education and Ministry of Health, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology Wuhan, China.
Farajolah MalekiNon-Communicable Diseases Research Center, Ilam University of Medical Sciences, Ilam, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionKeratoacanthoma (KA) and squamous cell carcinoma (SCC) are two cutaneous conditions with morphological resemblance, which can complicate the diagnosis in some cases. Using immunohistochemistry staining of biomarkers could be beneficial in resolving this obstacle.

objectivesWe investigated a variety of biomarkers assessed in different studies in order to find the most important and helpful biomarkers for differentiation between SCC and lesions capable of spontaneous regression.

methodsMEDLINE via PubMed and Google Scholar database were used to identify relevant literature up to 15 June 2022. The aim of our analyses was to determine the capability of biomarkers to distinguish between SCC and lesions capable of spontaneous regression using calculated individual and pooled odds ratios (OR) and 95% confidence intervals (CI) and I

resultsSix potential biomarkers were CD10 with pooled OR= 0.006 (95% CI: 0.001-0.057) and I

conclusionsWe suggest the utilization of the following IHC biomarkers for discrimination between lesions with spontaneous regression such as KA and SCC: CD10, COX-2, and elastic fibers.

Identifiers

PMID38810039
PMCPMC11135932

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