Evidence map›Paper›PMID 25987961›Full record

ReviewWorld journal of diabetes2015

Assessment of cardiovascular risk in diabetes: Risk scores and provocative testing.

Teresa Lam, Kharis Burns, Mark Dennis, N Wah Cheung, Jenny E Gunton

Abstract readReview
In one paragraph

Review in World journal of diabetes, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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

5 authors.

Teresa LamTeresa Lam, Kharis Burns, N Wah Cheung, Jenny E Gunton, Department of Diabetes and Endocrinology, Westmead Hospital, Sydney 2145, Australia.
Kharis BurnsTeresa Lam, Kharis Burns, N Wah Cheung, Jenny E Gunton, Department of Diabetes and Endocrinology, Westmead Hospital, Sydney 2145, Australia.
Mark DennisTeresa Lam, Kharis Burns, N Wah Cheung, Jenny E Gunton, Department of Diabetes and Endocrinology, Westmead Hospital, Sydney 2145, Australia.
N Wah CheungTeresa Lam, Kharis Burns, N Wah Cheung, Jenny E Gunton, Department of Diabetes and Endocrinology, Westmead Hospital, Sydney 2145, Australia.
Jenny E GuntonTeresa Lam, Kharis Burns, N Wah Cheung, Jenny E Gunton, Department of Diabetes and Endocrinology, Westmead Hospital, Sydney 2145, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular disease (CVD) is the leading cause of morbidity and mortality among patients with diabetes mellitus, who have a risk of cardiovascular mortality two to four times that of people without diabetes. An individualised approach to cardiovascular risk estimation and management is needed. Over the past decades, many risk scores have been developed to predict CVD. However, few have been externally validated in a diabetic population and limited studies have examined the impact of applying a prediction model in clinical practice. Currently, guidelines are focused on testing for CVD in symptomatic patients. Atypical symptoms or silent ischemia are more common in the diabetic population, and with additional markers of vascular disease such as erectile dysfunction and autonomic neuropathy, these guidelines can be difficult to interpret. We propose an algorithm incorporating cardiovascular risk scores in combination with typical and atypical signs and symptoms to alert clinicians to consider further investigation with provocative testing. The modalities for investigation of CVD are discussed.

Indexed as

Atypical symptomsCardiovascular riskDiabetesProvocative testingRisk scoresSilent ischaemia

Identifiers

PMID25987961
PMCPMC4434084

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.