Evidence map›Paper›PMID 31646114›Full record

ReviewCardiovascular endocrinology2017

Cardiovascular risk assessment and screening in diabetes.

Yanglu Zhao

Abstract readReview
In one paragraph

Review in Cardiovascular endocrinology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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

1 author.

Yanglu ZhaoDepartment of Epidemiology, School of Public Health, University of California Los Angeles, Los Angeles, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes used to be considered as a coronary heart disease equivalence and universally classified high cardiovascular risk population. However increasing epidemiological evidence now indicates the heterogeneity of risk among the diabetic patients and imposes animportance of stratifying those with relative low-risk from high-risk ones. Despite the existing risk assessment tools, current cardivoascualr disease prevention guidelines fail to provide more detailed stratification strategies for patient with diabetes and expose them to either overtreatment or undertreatment. On the other hand, various screening modality, including novel biomarkers and subclinical asthrosclerosis scanning, including coronary calcium scanning, carotid intima-media thickness, myocardial perfusion imaging and coronary computed tomography angiography, have provided very promising usage is risk stratification. With better developed test techniques and more extensive evidence, these modalities may serve in standardized screening algorithm to improve the cardiovascular risk assessment of patients with diabetes and better instruct their individualized preventive therapy.

Indexed as

cardiovascular diseasediabetesguidelinesrisk assessment

Identifiers

PMID31646114
PMCPMC6768525

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.