Evidence map›Paper›PMID 42582816›Full record

ArticleTranslational breast cancer research : a journal focusing on translational research in breast cancer2026

Comparative outcomes of conventional versus endoscopic-assisted surgery for breast phyllodes tumors: a single center retrospective cohort study.

Zilin Zhuang, Di Huang, Linbin Yang, Jiannan Wu, Liang Jin, Xun Li, Zhiyun Qian, Rong Lei, Xiaojun Li, Erwei Song and 1 more

Abstract read
In one paragraph

Article in Translational breast cancer research : a journal focusing on translational research in breast cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

11 authors.

Zilin Zhuang *Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Medical Research Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Di Huang *Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Medical Research Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Linbin Yang *Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Medical Research Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Jiannan WuGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Medical Research Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Liang JinGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Medical Research Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Xun LiGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Medical Research Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Zhiyun QianGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Medical Research Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Rong LeiGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Medical Research Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Xiaojun LiGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Medical Research Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Erwei SongGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Medical Research Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Yan NieGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Medical Research Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Breast phyllodes tumors (PTs) tend to grow rapidly and often present as large tumors. Consequently, conventional surgery (CS) typically leaves large and conspicuous scars on the breast. In contrast, endoscopic-assisted surgery (EAS) via the axillary approach offers smaller, more concealed incisions, leaving the breast surface unscarred. However, whether this technique can enhance aesthetic outcomes without increasing the risk of PTs recurrence remains unclear. The study aimed to compare the oncologic safety and cosmetic outcomes of EAS versus CS in patients with PTs. Methods: Patients with newly diagnosed PTs who received surgical treatment were included, and they were stratified into two groups: EAS group and CS group. Propensity score matching (PSM) was used to balance the baseline differences between two groups. Oncologic safety, cosmetic satisfaction, intraoperative indicators, and postoperative complications were compared between patients underwent EAS and CS. Results: After 3:1 PSM, 200 patients were included in the final analysis (147 CS and 53 EAS). The median follow-up was 23.77 months. EAS was associated with a significantly longer operative time (83.77±26.81 Conclusions: In this matched cohort study, EAS approved to be a safe and feasible substitute to CS for PTs, offering equivalent oncologic outcomes while significantly improving cosmetic satisfaction and psychological well-being.

Indexed as

Breast phyllodes tumors (PTs)endoscopicretrospective cohort studysurgery

Identifiers

PMID42582816
PMCPMC13458265

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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.