Evidence map›Paper›PMID 30313029›Full record

Observational studyMedicine2018

Diagnostic value of carotid artery ultrasound and hypersensitive C-reactive protein in Type 2 diabetes mellitus patients with acute myocardial infarction in Chinese population.

Juan Li, Liangliang Wang, Qian Wang, Zhaoqin Xin, Yilin Liu, Qinghua Zhao

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Influence of dl-3-N-butylphthalide on infarction size in rats with acute myocardial infarction.International journal of clinical and experimental pathology · 2020
    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

6 authors at 1 institution in 1 country.

Juan LiSpecial Inspection Department.
Liangliang WangUltrasound Department, Liaocheng People's Hospital, Shandong, China.
Qian WangUltrasound Department, Liaocheng People's Hospital, Shandong, China.
Zhaoqin XinUltrasound Department, Liaocheng People's Hospital, Shandong, China.
Yilin LiuSpecial Inspection Department.
Qinghua ZhaoUltrasound Department, Liaocheng People's Hospital, Shandong, China.
Liaocheng People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypersensitive C-reactive protein (hs-CRP) is reported to be significant risk indicators not only for the development of cardiovascular disease, but also for the development or progression of type 2 diabetes. The objective of this study was to analyze the significance of hs-CRP in type 2 diabetes mellitus (T2DM) combined with acute myocardial infarction (AMI).Fifty patients with both T2DM and AMI, 50 patients with T2DM alone, and 50 healthy subjects (control group) were selected.Operating characteristic (ROC) analysis revealed that the sensitivity, specificity, accuracy, and critical value in the diagnosis of T2DM combined with AMI using hs-CRP level were 84.6%, 75.9%, 0.856, and 7.34 mg/L, respectively. For using vulnerable plaque rate, these were 92.7%, 95.3%, 0.923, and 0.52, respectively.hs-CRP play a significant role in the early diagnosis of T2DM combined with AMI.

Indexed as

EchocardiographyAdultAgedBiomarkersCarotid ArteriesCase-Control StudiesChinaC-Reactive ProteinDiabetes Mellitus, Type 2FemaleHumansLogistic ModelsMaleMiddle AgedMyocardial InfarctionSensitivity and SpecificityBiomarkersC-Reactive Protein

Identifiers

PMID30313029
PMCPMC6203565
OpenAlexW2897955014

What OpenQuestion 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 OpenQuestion graph.