Evidence map›Paper›PMID 39219582›Full record

ArticleGlobal health & medicine2024

Effects of low-frequency ultrasound combined with microbubbles on breast cancer xenografts in nude mice.

Xiaoli Peng, Lisha Li, Yingchun Liu, Yuqing Guo, Yun Pang, Shengnan Ding, Jing Zhou, Ling Wang, Lin Chen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Global health & medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

9 authors.

Xiaoli PengDepartment of Ultrasound, Huadong Hospital, Fudan University, Shanghai, China.
Lisha LiLaboratory for Reproductive Immunology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China.
Yingchun LiuDepartment of Ultrasound, Huadong Hospital, Fudan University, Shanghai, China.
Yuqing GuoDepartment of Ultrasound, Huadong Hospital, Fudan University, Shanghai, China.
Yun PangDepartment of Ultrasound, Huadong Hospital, Fudan University, Shanghai, China.
Shengnan DingDepartment of Ultrasound, Huadong Hospital, Fudan University, Shanghai, China.
Jing ZhouLaboratory for Reproductive Immunology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China.
Ling WangLaboratory for Reproductive Immunology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China.
Lin ChenDepartment of Ultrasound, Huadong Hospital, Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to explore the effects of low-frequency ultrasound (US) combined with microbubbles (MBs) on breast cancer xenografts and explain its underlying mechanisms. A total of 20 xenografted nude mice were randomly divided into four groups: a group treated with US plus MBs (the US + MBs group), a group treated with US alone (the US group), a group treated with MBs alone (the MBs group), and a control group. In different groups, mice were treated with different US and injection regimens on an alternate day, three times in total. Histological changes, apoptosis of cells, microvascular changes, and the apoptosis index (AI) and microvascular density (MVD) of the breast cancer xenograft were analyzed after the mice were sacrificed. Results indicated that the tumor volume in the US + MBs group was smaller than that in the other three groups (

Indexed as

low-frequency ultrasound irradiation treatmentnude mouse xenograft model of breast cancerultrasonic cavitation

Identifiers

PMID39219582
PMCPMC11350361

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.