Evidence map›Paper›PMID 28138361›Full record

ArticleWorld journal of diabetes2017

Clinical and dietary predictors of common carotid artery intima media thickness in a population with type 1 and type 2 diabetes: A cross-sectional study.

Kristina S Petersen, Jennifer B Keogh, Peter J Meikle, Manohar L Garg, Peter M Clifton

Open access · diamondAbstract read
In one paragraph

Article in World journal of diabetes, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 100% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 1 institution in 1 country.

Kristina S PetersenKristina S Petersen, Jennifer B Keogh, Peter M Clifton, School of Pharmacy and Medical Sciences, University of South Australia, Adelaide, SA 5000, Australia.
Jennifer B KeoghKristina S Petersen, Jennifer B Keogh, Peter M Clifton, School of Pharmacy and Medical Sciences, University of South Australia, Adelaide, SA 5000, Australia.
Peter J MeikleKristina S Petersen, Jennifer B Keogh, Peter M Clifton, School of Pharmacy and Medical Sciences, University of South Australia, Adelaide, SA 5000, Australia.
Manohar L GargKristina S Petersen, Jennifer B Keogh, Peter M Clifton, School of Pharmacy and Medical Sciences, University of South Australia, Adelaide, SA 5000, Australia.
Peter M CliftonKristina S Petersen, Jennifer B Keogh, Peter M Clifton, School of Pharmacy and Medical Sciences, University of South Australia, Adelaide, SA 5000, Australia.
University of South Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo determine the clinical and dietary predictors of common carotid artery intima media thickness (CCA IMT) in a cohort of subjects with type 1 and type 2 diabetes.

methodsParticipants with type 1 (

resultsThe main predictors of mean and mean maximum CCA IMT were age and weight. After multivariate adjustment there were no dietary predictors of CCA IMT. However, in subjects that were not prescribed a lipid lowering medication alcohol consumption was positively associated with CCA IMT after multivariate adjustment. No difference existed in CCA IMT between subjects with type 1 or type 2 diabetes once age was adjusted for.

conclusionCCA IMT was predominantly predicted by age and weight in these subjects with diabetes. The finding that CCA IMT was not different between people with type 1 and type 2 diabetes warrants further investigation in a larger cohort.

Indexed as

Arterial structureCarotenoidsCarotid intima media thicknessDiabetesDietLipidomics

Identifiers

PMID28138361
PMCPMC5237814
OpenAlexW2568431334

What Socratic holds

Textmetadata
LicenceCC BY-NC
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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 Socratic graph.