Evidence map›Paper›PMID 23160795›Full record

ArticleCurrent diabetes reports2013

Personalized decision support in type 2 diabetes mellitus: current evidence and future directions.

Michael J Wilkinson, Aviva G Nathan, Elbert S Huang

Registry-linked trialAbstract read
In one paragraph

Article in Current diabetes reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02285881 (Shared Decision Making in Type 2 Diabetes With a Support Decision Tool That Takes Into Account Patient Preferences, Clinical Factors and the Intensity of Treatment), which is not on this map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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.

NCT02285881 nacompletednot on this map

Shared Decision Making in Type 2 Diabetes With a Support Decision Tool That Takes Into Account Patient Preferences, Clinical Factors and the Intensity of Treatment: Design of a Cluster Randomised Trial

TypeinterventionalSponsorUMC UtrechtRan2012 to 2016Enrolled153ConditionsType 2 Diabetes MellitusArmsShared decision making
3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Trial
  2. Effectiveness of shared goal setting and decision making to achieve treatment targets in type 2 diabetes patients: A cluster-randomized trial (OPTIMAL).Health expectations : an international journal of public participation in health care and health policy · 2017
    Trial
  3. Translating What Works: A New Approach to Improve Diabetes Management.Journal of diabetes science and technology · 2015
    Trial
  4. Trial
  5. Trial
  6. Article
  7. Guardians For Health: A Practical Approach to Improving Quality of Life and Longevity in People with Type 2 Diabetes.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2023
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Designing Decision-Support Technologies for Patient-Generated Data in Type 1 Diabetes.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2017
    Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. 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

3 authors.

Michael J WilkinsonUniversity of Chicago, Chicago, IL 60637, USA.
Aviva G Nathan
Elbert S Huang

Funding

Research Design, Data, and Analytics CoreP30DK092949 · NIDDK · UNIVERSITY OF CHICAGO · PI ELBERT S. HUANG · 2011 to 2026
$10.0M
NIDDK NIH HHS DK092949-01NIDDK NIH HHS P30 DK092949
6 · The paper itself

Abstract

The management of type 2 diabetes comprises a complex series of medical decisions regarding goals of care, self-care behaviors, and medical treatments. The quality of these medical decisions is critical to determining whether an individual diabetes patient is treated appropriately, overtreated, or undertreated. It is hypothesized that the quality of these medical decisions can be enhanced by personalized decision support tools that summarize patient clinical characteristics, treatment preferences, and ancillary data at the point of care. We describe the current state of personalized diabetes decision support on the basis of 13 recently described tools. Three tools provided support for personalized decisions based on preferences, while the remaining 10 provided support for treatment decisions designed to achieve standard diabetes goals. For the tools that supported personalized decisions, patient participation in medical decisions improved. Future decision support tools must be designed to account for both clinical characteristics and patient preferences.

Indexed as

Diabetes Mellitus, Type 2Decision MakingDecision Support TechniquesHumansPatient ParticipationSelf Care

Identifiers

PMID23160795
PMCPMC3593795

What OpenQuestion holds

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Registered trials

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.