Evidence map›Paper›PMID 36514573›Full record

ArticleCureus2022

Relationship Between Immunohistochemical CD3, CD4, CD5, CD8, and PD1 Staining and Histopathological Diagnosis of Cervical Lesions in Patients With Abnormal Colposcopic Findings.

Ayhan Atigan, Tolga Güler, Yeliz Arman Karakaya, Derya Kilic

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 43% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

4 authors at 2 institutions in 1 country.

Ayhan AtiganGynecology and Obstetrics, Karabuk University, Medicine Faculty, Karabük, TUR.
Tolga GülerObstetrics and Gynecology, Pamukkale Unıversity, Ankara, TUR.
Yeliz Arman KarakayaPathology, Pamukkale Unıversity, Denizli, TUR.
Derya KilicObstetrics and Gynecology, Pamukkale University, Denizli, TUR.
Karabük University · TRPamukkale University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThis study aimed to analyse the relationship between clinicopathological factors in cervical intraepithelial lesions and abnormal colposcopic findings. MATERIAL AND

methodsThirty high-grade squamous intraepithelial lesion (HSIL) and thirty low-grade squamous intraepithelial lesion (LSIL) patients who underwent biopsy due to abnormal colposcopic findings were included in the study. The immunoreactivity of CD3, CD4, CD5, CD8, and PD-1 was analysed immunohistochemically in tumor-infiltrating lymphocytes (TILs) and stromal lymphocytes.

resultsIn TILs, CD3, CD4, CD5, CD8, and PD-1 were highly stained in 20/30 (66.6%), 16/30 (53.3%), 15/30 (50.0%), 24/30 (80.0%), and 13/30 (43.3%) of the cases for the HSIL group, while 7/30 (23.3%), 4/30 (13.3%), 5/30 (16.6%), 9/30 (30.0%), and 5/30 (16.6%) were in the LSIL group, respectively. CD3, CD4, CD5, CD8, and PD-1 immunostainings for TILs were higher in the HSIL group (p=0.001, p=0.001, p=0.006, p˂0.001, p=0.024, respectively). Only PD-1 was significantly higher in lymphocytes in the stroma (p=0.001).

conclusionsCD3, CD4, and CD8 also show a positive correlation with the Ki-67 proliferation index. CD3, CD4, CD5, and CD8 may contribute to PD-1-mediated tumour control. Immunohistochemical staining plays a key role in evaluating the tumour microenvironment.

Indexed as

abnormal colposcopic findingcervical intraepithelial neoplasiaimmunohistochemical stainingsquamous intraepithelial lesiontumor infiltrating lymphocyte

Identifiers

PMID36514573
PMCPMC9742978
OpenAlexW4308841911

What OpenQuestion holds

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Registered trials

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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.