Evidence map›Paper›PMID 26855601›Full record

ReviewPsychology research and behavior management2016

The influence of cognition on self-management of type 2 diabetes in older people.

Ali Tomlin, Alan Sinclair

Registry-linked trialOpen access · goldAbstract readReview
In one paragraph

Review in Psychology research and behavior management, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06322212 (Type 2 Diabetes Mellitus and Blood Brain Barrier Improvement - A Randomized Clinical Trial), which is not on this map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
7.7field-weighted citation impact, top 2% 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.

NCT06322212 early_phase1recruitingnot on this mapstarted 2024, after this paper: background citation

Type 2 Diabetes Mellitus and Blood Brain Barrier Improvement - A Randomized Clinical Trial

TypeinterventionalSponsorUniversity of California, Los AngelesRan2024 to 2027Enrolled52ConditionsType2diabetesArmsThiamine, Placebo
3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 94 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Patient Engagement With an Automated Telephone Symptom Management Intervention: Predictors and Outcomes.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2020
    Trial
  5. Trial
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. The Effects of Type 2 Diabetes on Cognitive Performance: A Review of Reviews.International journal of behavioral medicine · 2024
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Asian Best Practices for Care of Diabetes in Elderly (ABCDE).The review of diabetic studies : RDS · 2022
    Article
  20. 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

2 authors at 1 institution in 1 country.

Ali TomlinInstitute of Diabetes for Older People, University of Bedfordshire, Luton, Bedfordshire, UK.
Alan SinclairInstitute of Diabetes for Older People, University of Bedfordshire, Luton, Bedfordshire, UK.
University of Bedfordshire · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes is a growing public health issue, increasing in prevalence, eroding quality of life, and burdening health care systems. The complications of diabetes can be avoided or delayed by maintaining good glycemic control, which is achievable through self-management and, where necessary, medication. Older people with diabetes are at increased risk for cognitive impairment. This review aims to bring together current research that has investigated both cognition and diabetes self-management together. The Cumulative Index to Nursing and Allied Health (Cinahl), Excerpta Medica Database (Embase), Medical Literature Analysis and Retrieval System (Medline), and Psychological Information (PsychInfo) databases were searched. Studies were included if they featured older people with type 2 diabetes and had looked for associations between at least one distinct measure of cognition and at least one distinct measure of diabetes self-management. English language publications from the year 2000 were included. Cognitive measures of executive function, memory, and low scores on tests of global cognitive functioning showed significant correlations with multiple areas of diabetes self-management, including diabetes-specific numeracy ability, diabetes knowledge, insulin adjustment skills, ability to learn to perform insulin injections, worse adherence to medications, decreased frequency of self-care activities, missed appointments, decreased frequency of diabetes monitoring, and increased inaccuracies in reporting blood glucose monitoring. The nature of the subjects studied was quite variable in terms of their disease duration, previous medical histories, associated medical comorbidities, and educational level attained prior to being diagnosed with diabetes. The majority of studies were of an associational nature and not findings confirmed by repeat testing or by the effects of an intervention, neither were the majority of studies designed to give a view or conclusion on the clinical value or implications of the research. This only allows speculation of their importance. Most studies do not separate out the influence of aging itself in altering diabetes self-care behavior. We conclude that older people with type 2 diabetes are at increased risk for cognitive dysfunction. Changes in cognition may negatively affect diabetes self-management behaviors, influencing self-care outcomes. Age and depression may exacerbate any cognitive impairment.

Indexed as

cognitive impairmentexecutive functionneuropsychological testself-care

Identifiers

PMID26855601
PMCPMC4727517
OpenAlexW2273904707

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.