Evidence map›Paper›PMID 32660435›Full record

ArticleBMC cancer2020

Fibroadenoma versus phyllodes tumor: a vexing problem revisited!

Santosh Tummidi, Kanchan Kothari, Mona Agnihotri, Leena Naik, Prashant Sood

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

16 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
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  5. Hierarchical diagnosis of breast phyllodes tumors enabled by deep learning of ultrasound images: a retrospective multi-center study.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025
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  14. Review
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  16. Fibroepithelial lesions: assessing the risk of malignant phyllodes tumors in the breast.Romanian journal of morphology and embryology = Revue roumaine de morphologie et embryologie
    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

5 authors at 3 institutions in 1 country.

Santosh TummidiDepartment of Pathology, All India Institute of Medical Sciences, Mangalagiri, 522503, Andhra Pradesh, India.
Kanchan KothariDepartment of Pathology, Seth GSMC & KEMH, Parel, Mumbai, Maharashtra, 400012, India. kanchankothari@hotmail.com.
Mona AgnihotriDepartment of Pathology, Seth GSMC & KEMH, Parel, Mumbai, Maharashtra, 400012, India.
Leena NaikDepartment of Pathology, LTMMC & LTMGH, Sion, Mumbai, 400012, India.
Prashant SoodDepartment of Microbiology, All India Institute of Medical Sciences, Mangalagiri, 522503, Andhra Pradesh, India.
All India Institute of Medical Sciences · INKing Edward Memorial Hospital and Seth G.S. Medical College · INLokmanya Tilak Municipal General Hospital and Lokmanya Tilak Municipal Medical College · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFibroepithelial lesions of the breast include fibroadenoma (FA) and phyllodes tumor (PT). Fibroadenomas are benign while phyllodes tumor range from benign, indolent neoplasms to malignant tumors capable of distant metastasis. Our study was to determine the select cytologic features that can accurately distinguish FA from PT.

methodsA retrospective review was performed of patients who had histopathology follow up of FA or PT and on whom a pre-operative fine needle aspiration was performed. Cytologic criteria i.e. epithelial component, stromal component and background cellularity were assessed.

results46 FA and 24 PT were specimens were reviewed. Median age and tumor size for FA and PT were 23.0 and 39.0 years, and 2.0 and 5.0 cm, respectively. Univariate analysis and regression models based on generalized estimating equations revealed that large opened out, folded epithelial sheets, frayed and irregular stromal fragment contours, spindle stromal cell nuclei, spindle cell nuclei in the background and background cell atypia are significant cytological predictors of PT. The GEE regression model achieved 78.9% diagnostic accuracy (p <  0.001) in identifying PT based on cytological features. Median epithelial: stromal ratio was 3.4 and 2.6 for FA and PT, respectively.

conclusionPresence of large, opened out, folded epithelial sheets, frayed and irregular stromal contours with spindle nuclei, background spindle cells and atypia can help distinguish PT from FA.

Indexed as

AdultDiagnosis, DifferentialFemaleFibroadenomaFollow-Up StudiesHumansMiddle AgedPhyllodes TumorPrognosisRetrospective StudiesStromal CellsYoung AdultBreast cytopathologyFibroadenomaFine-needle aspirationPhyllodes tumor

Identifiers

PMID32660435
PMCPMC7359567
OpenAlexW3041218512

What OpenQuestion holds

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LicenceCC BY
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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.