Evidence map›Paper›PMID 37163431›Full record

ArticleAging and disease2023

Dynamic Detection of Specific Membrane Capacitance and Cytoplasmic Resistance of Neutrophils After Ischemic Stroke.

Haiping Zhao, Xiaofeng Luan, Yuqing Wang, Yifei Ye, Feng Yan, Xue Li, Yuang Li, Mingxiao Li, Lingqian Zhang, Yang Zhao and 2 more

Open access · goldAbstract readEditorial
In one paragraph

Article in Aging and disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 41% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
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

12 authors at 2 institutions in 1 country.

Haiping ZhaoInstitute of Cerebrovascular Diseases Research, Xuanwu Hospital of Capital Medical University, Beijing, China.
Xiaofeng LuanInstitute of Microelectronics, Chinese Academy of Sciences, Beijing, China.
Yuqing WangInstitute of Cerebrovascular Diseases Research, Xuanwu Hospital of Capital Medical University, Beijing, China.
Yifei YeInstitute of Microelectronics, Chinese Academy of Sciences, Beijing, China.
Feng YanInstitute of Cerebrovascular Diseases Research, Xuanwu Hospital of Capital Medical University, Beijing, China.
Xue LiInstitute of Cerebrovascular Diseases Research, Xuanwu Hospital of Capital Medical University, Beijing, China.
Yuang LiInstitute of Microelectronics, Chinese Academy of Sciences, Beijing, China.
Mingxiao LiInstitute of Microelectronics, Chinese Academy of Sciences, Beijing, China.
Lingqian ZhangInstitute of Microelectronics, Chinese Academy of Sciences, Beijing, China.
Yang ZhaoInstitute of Microelectronics, Chinese Academy of Sciences, Beijing, China.
Chengjun HuangInstitute of Microelectronics, Chinese Academy of Sciences, Beijing, China.
Yumin LuoInstitute of Cerebrovascular Diseases Research, Xuanwu Hospital of Capital Medical University, Beijing, China.
Capital Medical University · CNChinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Peripheral blood is the most readily available resource for stroke patient prognosis, but there is a lack of methods to detect dynamic changes of neutrophils in peripheral blood that can be used in the clinic. Herein, we developed a procedure to characterize dynamic changes of neutrophils based on their electrical properties in rats after transient middle cerebral artery occlusion (MCAO). We characterized the specific membrane capacitance (C

Identifiers

PMID37163431
PMCPMC10389826
OpenAlexW4360596237

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.