Evidence map›Paper›PMID 27190081›Full record

ArticleDiabetes & vascular disease research2016

Risk stratification for 25-year cardiovascular disease incidence in type 1 diabetes: Tree-structured survival analysis of the Pittsburgh Epidemiology of Diabetes Complications study.

Rachel G Miller, Stewart J Anderson, Tina Costacou, Akira Sekikawa, Trevor J Orchard

Abstract read
In one paragraph

Article in Diabetes & vascular disease research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Artificial Intelligence Methodologies and Their Application to Diabetes.Journal of diabetes science and technology · 2018
    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

5 authors.

Rachel G MillerDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA.
Stewart J AndersonDepartment of Biostatistics, University of Pittsburgh, Pittsburgh, PA, USA.
Tina CostacouDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA.
Akira SekikawaDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA.
Trevor J OrchardDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA tjo@pitt.edu.

Funding

RESEARCH METHODS COREP30MH090333 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REYNOLDS, CHARLES F · 2011 to 2015
$8.3M
Epidemiology of Diabetes Complications (EDC) Phase II: renewalR37DK034818 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ORCHARD, TREVOR J. · 2009 to 2018
$6.5M
EPIDEMIOLOGY OF DIABETIC COMPLICATIONS--PHASE IIR01DK034818 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI COSTACOU, TINA · 1986 to 2019
$5.6M
NIDDK NIH HHS R01 DK034818NIDDK NIH HHS R37 DK034818NIMH NIH HHS P30 MH090333
6 · The paper itself

Abstract

backgroundThe formal identification of subgroups with varying levels of risk is uncommon in observational studies of cardiovascular disease, although such insight might be useful for clinical management.

methodsTree-structured survival analysis was utilized to determine whether there are meaningful subgroups at varying levels of cardiovascular disease risk in the Pittsburgh Epidemiology of Diabetes Complications study, a prospective cohort study of childhood-onset (<17 years old) type 1 diabetes.

resultsOf the 561 participants free of cardiovascular disease (coronary artery disease, stroke or lower extremity arterial disease) at baseline, 263 (46.9%) had an incident cardiovascular disease event over the 25-year follow-up. Tree-structured survival analysis revealed a range of risk groups, from 24% to 85%, which demonstrate that those with short diabetes duration and elevated non-high-density lipoprotein cholesterol have similar cardiovascular disease risk to those with long diabetes duration and that renal disease is a better discriminator of risk in men than in women.

conclusionOur findings suggest that subgroups with major cardiovascular disease risk differences exist in this type 1 diabetes cohort. Using tree-structured survival analysis may help to identify these groups and the interrelationships between their associated risk factors. This approach may improve our understanding of various clinical pathways to cardiovascular disease and help target intervention strategies.

Indexed as

AdolescentAdultAge of OnsetCardiovascular DiseasesDecision TreesDiabetes ComplicationsDiabetes Mellitus, Type 1FemaleHumansIncidenceKaplan-Meier EstimateMalePennsylvaniaPrognosisProspective StudiesRisk Assessmentcardiovascular diseaseDecision treesrisk stratificationtype 1 diabetes

Identifiers

PMID27190081
PMCPMC5374723

What OpenQuestion holds

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LicenceTDM
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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.