Evidence map›Paper›PMID 29296506›Full record

ArticleBiomedical optics express2017

Intracerebral haemorrhage-induced injury progression assessed by cross-sectional photoacoustic tomography.

Jinge Yang, Dan Wu, Guang Zhang, Yuan Zhao, Max Jiang, Xin Yang, Qiwen Xu, Huabei Jiang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomedical optics express, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. 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

8 authors at 2 institutions in 2 countries.

Jinge YangSchool of Physical Electronics, University of Electronic Science and Technology of China, Chengdu, China.
Dan WuSchool of Physical Electronics, University of Electronic Science and Technology of China, Chengdu, China.
Guang ZhangSchool of Physical Electronics, University of Electronic Science and Technology of China, Chengdu, China.
Yuan ZhaoSchool of Physical Electronics, University of Electronic Science and Technology of China, Chengdu, China.
Max JiangCollege of Medicine, University of Central Florida, 32827, USA.
Xin YangSchool of Physical Electronics, University of Electronic Science and Technology of China, Chengdu, China.
Qiwen XuSchool of Physical Electronics, University of Electronic Science and Technology of China, Chengdu, China.
Huabei JiangSchool of Physical Electronics, University of Electronic Science and Technology of China, Chengdu, China.
University of Electronic Science and Technology of China · CNUniversity of Central Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we in vivo examined injury progression after intracerebral haemorrhage (ICH) induced by collagenase in mice using cross-sectional photoacoustic tomography (csPAT). csPAT displayed high resolution with high sensitivity for ICH detection. The PAT images obtained showed high correlation with conventional histologic images. Quantitative analysis of the hematoma areas detected by csPAT showed high consistency with the neurologic deficit score (NDS). By utilizing the dual-wavelength method, the development of the hemoglobin area was monitored. Our results indicated that noninvasive csPAT can be used to track the dynamic progression of post-ICH, and to evaluate therapeutic interventions in preclinical ICH models.

Indexed as

(110.5120) Photoacoustic imaging(170.2655) Functional monitoring and imaging

Identifiers

PMID29296506
PMCPMC5745121
OpenAlexW2768218768

What OpenQuestion holds

Textmetadata
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.