Evidence map›Paper›PMID 37908929›Full record

ArticleCureus2023

Clinicopathological Parameters Predicting Malignancy in Phyllodes Tumor of the Breast.

Atif A Hashmi, Bakhtawar Allauddin Mallick, Khushbakht Rashid, Sumbal Zafar, Shamail Zia, Umair Arshad Malik, Fnu Sapna, Fnu Anjali, Fnu Vishal, Muhammad Irfan

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Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

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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

10 authors at 7 institutions in 2 countries.

Atif A HashmiPathology, Liaquat National Hospital and Medical College, Karachi, PAK.
Bakhtawar Allauddin MallickInternal Medicine, Zainab Panjwani Memorial Hospital, Karachi, PAK.
Khushbakht RashidInternal Medicine, Liaquat National Hospital and Medical College, Karachi, PAK.
Sumbal ZafarPathology, Liaquat National Hospital and Medical College, Karachi, PAK.
Shamail ZiaPathology, Jinnah Sindh Medical University, Karachi, PAK.
Umair Arshad MalikInternal Medicine, Aga Khan University, Karachi, PAK.
Fnu SapnaPathology, Albert Einstein College of Medicine, New York, USA.
Fnu AnjaliInternal Medicine, Sakhi Baba General Hospital, Sukkur, PAK.
Fnu VishalPublic Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA.
Muhammad IrfanStatistics, Liaquat National Hospital and Medical College, Karachi, PAK.
Liaquat National Hospital · PKAga Khan University · PKAlbert Einstein College of Medicine · USCivil Hospital Karachi · PKJinnah Sindh Medical University · PKJohns Hopkins University · USSukkur IBA University · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Phyllodes tumor (PT) is an uncommon fibroepithelial neoplasm of the breast. It is a biphasic tumor with stromal and epithelial components, with a tendency to recur. Because of its wide range of disease manifestations, it has been subclassified into three categories, i.e., benign, borderline, and malignant, based on several histological parameters. This study was conducted to evaluate the clinicopathological features associated with malignancy in breast PTs. Methods We conducted a retrospective study at the Department of Histopathology at Liaquat National Hospital, Karachi, Pakistan. A total of 146 biopsy-proven cases of PTs were enrolled in the study. Clinical data were obtained from the clinical referral forms. Specimens were obtained from either lumpectomy or simple mastectomy. The specimens obtained were received at the laboratory where after gross examination, paraffin-embedded tissue blocks were prepared, which were sectioned, stained, and studied by a senior histopathologist. Pathological features, such as mitotic count, necrosis, stromal atypia, stromal overgrowth, and heterologous elements, were observed. Based on these features, the PTs were classified into benign, borderline, and malignant tumors. Results The mean age of the PTs in our setup was 40.65 ± 12.17 years with a mean size of 9.40 ± 6.49 cm. Malignant PT was found to be the most prevalent in our population, accounting for 63 (43.2%) cases, followed by borderline (51, 34.9%) and benign (32, 21.9%). A significant association was found between the tumor subtype and patient age, i.e., patients diagnosed with malignant and borderline PTs were found to be of older age (mean 42.82 ± 12.94 and 42.05 ± 11.31 years, respectively) than those diagnosed with benign PTs (mean age 34.12 ± 9.75 years). Moreover, malignant PTs were associated with larger tumor size (mean 11.46 ± 6.08) compared with the other two subtypes. Conclusion We found a significant association among patient age, tumor size, and PT subtype. Therefore, apart from the usual histological parameters, patient age and tumor size are important parameters for predicting the behavior of breast PT and should be considered for management.

Indexed as

breast tumorsclinicopathological correlationfibroepithelial lesionphyllodes tumourtumor size

Identifiers

PMID37908929
PMCPMC10613785
OpenAlexW4387184901

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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.