Evidence map›Paper›PMID 35282297›Full record

ArticlePhotoacoustics2022

Myocardial infarct border demarcation by dual-wavelength photoacoustic spectral analysis.

Kangmu Ma, Shiying Wu, Shixing Huang, Weiya Xie, Mengjiao Zhang, Yingna Chen, Pengxiong Zhu, Jun Liu, Qian Cheng

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Photoacoustics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
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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

9 authors.

Kangmu MaDepartment of Cardiovascular Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Shiying WuInstitute of Acoustics, School of Physics Science and Engineering, Tongji University, Shanghai, China.
Shixing HuangDepartment of Cardiovascular Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Weiya XieInstitute of Acoustics, School of Physics Science and Engineering, Tongji University, Shanghai, China.
Mengjiao ZhangInstitute of Acoustics, School of Physics Science and Engineering, Tongji University, Shanghai, China.
Yingna ChenInstitute of Acoustics, School of Physics Science and Engineering, Tongji University, Shanghai, China.
Pengxiong ZhuDepartment of Cardiovascular Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jun LiuDepartment of Cardiac Surgery, East Hospital, Tongji University School of Medicine, Shanghai, China.
Qian ChengInstitute of Acoustics, School of Physics Science and Engineering, Tongji University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myocardial infarction (MI) is a major cause of morbidity and mortality worldwide. Modern therapeutic strategies targeting the infarct border area have been shown to benefit overall cardiac function after MI. However, there is no non-invasive diagnostic technique to precisely demarcate the MI boundary till to now. In this study, the feasibility of demarcating the MI border using dual-wavelength photoacoustic spectral analysis (DWPASA) was investigated. To quantify specific molecular characteristics before and after MI, "the ratio of the areas of the power spectral densities (

Indexed as

Dual-wavelength photoacoustic measurementMyocardial infarct border demarcationPhotoacoustic spectral analysisSpecific molecular content determination

Identifiers

PMID35282297
PMCPMC8907670

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.