Evidence map›Paper›PMID 41312541›Full record

ArticleCytoJournal2025

A cytohistological correlation: Proliferative breast disease with atypia.

Ismail Guzelis, Mehmet Ali Uyaroğlu, Irem Onur

Abstract read
In one paragraph

Article in CytoJournal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ismail GuzelisDepartment of Pathology, Izmir Democracy University Buca Seyfi Demirsoy Training and Research Hospital, Buca, Izmir, Turkey.ORCID https://orcid.org/0000-0002-2309-4404
Mehmet Ali UyaroğluDepartment of Pathology, Izmir Katip Celebi University Ataturk Training and Research Hospital, Karabaglar, Izmir, Turkey.ORCID https://orcid.org/0000-0001-6164-9688
Irem OnurDepartment of Pathology, Istanbul University Cerrahpasa, Fatih, Istanbul, Turkey.ORCID https://orcid.org/0000-0001-5367-5317

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Breast fine-needle aspiration cytology (FNAC) is a rapid, cost-effective, and minimally invasive diagnostic procedure. The diagnosis of a proliferative breast disease with atypia (PBDA) is established based on the presence of areas with disordered cellular arrangement and mildly discerned cytological features. We have aimed to explore the cytohistological correlation of PBDA on FNAC. Material and Methods: A review of the hospital database was undertaken to retrieve cases of breast FNAC diagnosed as PBDA between January 2011 and September 2020. Results: A total of 3125 breast FNAC specimens were examined, and 107 (3.4%) of them received the diagnosis of PBDA. A total of 68 PBDA cases were included in this cytohistological evaluation. The risk of malignancy was 44%. Except for one case, all of the invasive or microinvasive carcinomas were grade 1 or 2 malignancies according to the Nottingham grading system of breast cancers. The result of a repeat FNAC of the case with a poorly differentiated invasive breast cancer was reported as a high-grade malignancy. A statistically significant correlation was observed between older age and malignant outcome ( Conclusion: This is one of the largest datasets of cases with PBDA. Based on the advanced age of the patient, and relevant clinical and radiological information, cytopathological diagnosis of PBDA may prompt the clinician to take further action.

Indexed as

AtypiaBreastCorrelationCytologyMalignancy

Identifiers

PMID41312541
PMCPMC12653988

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.