Evidence map›Paper›PMID 35545331›Full record

ArticleZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences2022

Hyper-reactive platelets and type 2 diabetes.

Yi Zhang, Huamei Zhou

Open access · greenAbstract read
In one paragraph

Article in Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 26% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

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

2 authors at 1 institution in 1 country.

Yi ZhangDepartment of Endocrinology, People's Hospital of Nanchuan, Chongqing 408400, China. 258521541@qq.com.
Huamei ZhouDepartment of Endocrinology, People's Hospital of Nanchuan, Chongqing 408400, China. huamei2030@126.com.
First People's Hospital of Chongqing · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 2 diabetes mellitus is a progressive process. With the course of the disease progress, microvascular and macrovascular complications always happen. Thrombotic events caused by macrovascular complications, including coronary heart diseases and cerebrovascular diseases, are the main fatal factor for the patients with type 2 diabetes. Endothelial dysfunction, coagulative activation, impaired fibrinolysis, together with hyper-reactive platelets contribute to the diabetic prothrombotic state, which is strongly related to the macrovascular complications. In particular, the hyper-reactive platelets play a fundamental role among them. Type 2 diabetes is characterized by several metabolic dysfunctions such as hyperglycemia, insulin resistance and shortage, oxidative stress, systemic inflammation, obesity, and dyslipidemia. These metabolic dysfunctions work together to promote the formation of hyper-reactive platelets, which are distinctive in type 2 diabetes. The regular antiplatelet drugs, like aspirin, show limited inhibitory effect on them. Hence, studying the mechanism behind the hyper-reactive platelets could provide a brand-new view on the prevention of macrovascular complications and cardiovascular events in type 2 diabetes.

Indexed as

Diabetes Mellitus, Type 2HyperglycemiaInsulin ResistanceBlood PlateletsHumansObesityhyper-reactive plateletsmacrovascular complicationsmetabolic dysfunctionsprothrombotic statetype 2 diabetes

Identifiers

PMID35545331
PMCPMC10930063
OpenAlexW4280648949

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.