Evidence map›Paper›PMID 36275481›Full record

ArticleInternational journal of nanomedicine2022

Early Assessment of Atherosclerotic Lesions and Vulnerable Plaques in vivo by Targeting Apoptotic Macrophages with AV Nanobubbles.

Xiaoju Ma, Jia Wang, Zhelong Li, Xueying Zhou, Xiao Liang, Junyan Wang, Yunyou Duan, Ping Zhao

Open access · goldAbstract read
In one paragraph

Article in International journal of nanomedicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

7 citing papers in PubMed, 11 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

8 authors at 2 institutions in 1 country.

Xiaoju Ma *Department of Ultrasonic Medicine, Tang Du Hospital, Air Force Medical University, Xi'an, 710038, People's Republic of China.
Jia Wang *Department of Ultrasonic Medicine, Tang Du Hospital, Air Force Medical University, Xi'an, 710038, People's Republic of China.
Zhelong LiDepartment of Ultrasonic Medicine, Tang Du Hospital, Air Force Medical University, Xi'an, 710038, People's Republic of China.
Xueying ZhouUltrasonic Department, Air Force Hospital of Central Theater, Datong, 037006, People's Republic of China.
Xiao LiangDepartment of Ultrasonic Medicine, Tang Du Hospital, Air Force Medical University, Xi'an, 710038, People's Republic of China.
Junyan WangDepartment of Nuclear Medicine, Tang Du Hospital, Air Force Medical University, Xi'an, 710038, People's Republic of China.
Yunyou DuanDepartment of Ultrasonic Medicine, Tang Du Hospital, Air Force Medical University, Xi'an, 710038, People's Republic of China.ORCID 0000-0003-0769-8328
Ping ZhaoDepartment of Ultrasonic Medicine, Tang Du Hospital, Air Force Medical University, Xi'an, 710038, People's Republic of China.
Tang Du Hospital · CNAir Force General Hospital PLA · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The early detection of atherosclerotic lesions is particularly important for risk prediction of acute cardiovascular events. Macrophages apoptosis was significantly associated with the degree of AS lesions and especially contributed to plaque vulnerability. In this research, we mainly sought to explore the feasibility of a home-made AV-nanobubbles (NB Methods: NB Results: The prepared NB Conclusion: NB

Indexed as

AtherosclerosisPlaque, AtheroscleroticAnimalsApolipoproteins EAvidinBiotinMacrophagesMiceMolecular ProbesApolipoproteins EAvidinBiotinMolecular ProbesapoptosisatherosclerosisAV-nanobubblesmacrophagevulnerable plaques

Identifiers

PMID36275481
PMCPMC9581080
OpenAlexW4306850795

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.