Evidence map›Paper›PMID 33224802›Full record

ArticleGland surgery2020

Mammary hamartoma: is ultrasound-guided vacuum-assisted breast biopsy sufficient for its treatment?

Huayu Hu, Mengke Zhang, Yuan Liu, Xi-Ru Li, Gang Liu, Zhili Wang

Open access · diamondAbstract read
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Article in Gland surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

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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

5 citing papers in PubMed, 8 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

6 authors at 2 institutions in 1 country.

Huayu HuSchool of Medicine, Nankai University, Tianjin, China.
Mengke ZhangDepartment of Ultrasound, Chinese People's Liberation Army General Hospital, Beijing, China.
Yuan LiuDepartment of Ultrasound, Chinese People's Liberation Army General Hospital, Beijing, China.
Xi-Ru LiDepartment of General Surgery, Chinese People's Liberation Army General Hospital, Beijing, China.
Gang LiuDepartment of Radiology, Chinese People's Liberation Army General Hospital, Beijing, China.
Zhili WangDepartment of Ultrasound, Chinese People's Liberation Army General Hospital, Beijing, China.
People's Liberation Army No. 150 Hospital · CNChinese People's Liberation Army · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMammary hamartomas were mostly benign tumors with rare rate of recurrence and malignant transformation. Ultrasound (US)-guided vacuum-assisted breast biopsy (VABB) has been reported sufficiently safe in treating many breast benign tumors but remained undefined in mammary hamartoma for its usual underdiagnosis in US. Thus, this study aims to evaluate the efficiency of US-guided VABB in treating mammary hamartomas.

methodsFrom May 2015 to March 2019, 3,388 lesions of 2,534 patients underwent percutaneous US-guided VABB, among which 31 mammary hamartomas proved by pathology were included in this study. Patients were followed up by US three, six and twelve months later, then at 1-year intervals. Lesions were classified to analyze the possible factors associated with excision rate, bleeding volume and complications.

resultsOf the 31 patients, recurrence was seen in 1 case in 1 year after the procedure and complete excision rate was 96.8% (30/31). The bleeding volume ranged from 1 to 15 mL (mean number ± standard deviation, 6.5±3.4 mL) and significant statistical differences were detected in patient age and the largest diameter of lesions. The main complications included pain (22.6%), hematomas (9.7%) and ecchymosis (3.2%).

conclusionsUS-guided VABB ensures an outstanding complete excision rate and provides an alternative solution to treat mammary hamartomas.

Indexed as

complete excision ratemammary hamartomaUltrasound-guided vacuum-assisted breast biopsy (VABB)

Identifiers

PMID33224802
PMCPMC7667079
OpenAlexW3081059011

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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.