Evidence map›Paper›PMID 40143974›Full record

ArticleGynecology and minimally invasive therapy

Clinical Efficacy of Ultrasound-guided High-intensity Focused Ultrasound Ablation for Treating Breast Fibroadenoma of Different Sizes: A Retrospective Study.

Xiuying Wu, Lei Yang, Zi Li, Heng Yin, Wenzhi Chen, Cai Zhang

Abstract read
In one paragraph

Article in Gynecology and minimally invasive therapy. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

6 authors.

Xiuying Wu *State Key Laboratory of Ultrasound in Medicine and Engineering, Chongqing Medical University, Chongqing, China.
Lei Yang *Department of Breast Surgery, Suining Central Hospital, Suining, China.
Zi LiState Key Laboratory of Ultrasound in Medicine and Engineering, Chongqing Medical University, Chongqing, China.
Heng YinDepartment of Breast Surgery, Suining Central Hospital, Suining, China.
Wenzhi ChenState Key Laboratory of Ultrasound in Medicine and Engineering, Chongqing Medical University, Chongqing, China.
Cai ZhangState Key Laboratory of Ultrasound in Medicine and Engineering, Chongqing Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The aim of this study was to assess the clinical outcomes of ultrasound (US)-guided high-intensity focused ultrasound (HIFU) in patients with breast fibroadenoma (FA) of different sizes. Materials and Methods: A total of 88 patients with 245 lesions diagnosed with FA by core needle biopsy from January 2021 to November 2023 were included in this study. US-guided HIFU was performed under local anesthesia. Baseline and treatment characteristics were recorded and analyzed. FAs were divided into three groups according to the longest diameter for further analysis. After the treatment, follow-up with volume evaluation and physical examination was performed at 3, 6, and 12 months. Results: There were 56 FAs ≤10 mm (group 1), 144 FAs with a diameter of 10-20 mm (Group 2), and 45 FAs of 20-30 mm (Group 3). The sonication time of the three groups was 22.5 s, 45.0 s, and 83.0 s ( Conclusion: The current evidence indicated HIFU was effective and safe in treating breast FA of different sizes, and the VRR of FA >1 cm at 12 months post-HIFU was greater than that of FA <1 cm.

Indexed as

Breast fibroadenomaclinical outcomedifferent sizeshigh-intensity focused ultrasound

Identifiers

PMID40143974
PMCPMC11936401

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.