Evidence map›Paper›PMID 27234808›Full record

ReviewJournal of diabetes science and technology2016

Psychosocial Aspects of Continuous Glucose Monitoring: Connecting to the Patients' Experience.

Thomas Kubiak, Caroline G Mann, Katherine C Barnard, Lutz Heinemann

Abstract readReview
In one paragraph

Review in Journal of diabetes science and technology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. 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

4 authors.

Thomas KubiakHealth Psychology, Johannes Gutenberg University Mainz, Germany kubiak@uni-mainz.de.
Caroline G MannHealth Psychology, Johannes Gutenberg University Mainz, Germany.
Katherine C BarnardBournemouth University, UK.
Lutz HeinemannScience & Co, Düsseldorf, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Continuous glucose monitoring (CGM) systems provide people with diabetes with valuable real-time information on glucose trajectories and trends, thus offering opportunities for improving diabetes self-management. Ample evidence from clinical trials underscores CGM effectiveness for biomedical outcomes including HbA1C and hypoglycemia. However, interindividual variability in CGM uptake seems to be substantial: Neither do all individuals with diabetes adopt CGM readily in their diabetes self-management, nor do all of them benefit from CGM. In this article, we focus on CGM effects on quality of life and the potential role of psychosocial patient characteristics for determining the uptake and outcomes of CGM. After providing a brief overview on existing evidence on psychosocial factors in CGM use, gaps in existing research are identified and directions for future research are proposed that could answer key research questions and offer guidance for clinical diabetes care.

Indexed as

Quality of LifeBlood GlucoseBlood Glucose Self-MonitoringDiabetes MellitusHumansBlood Glucosecontinuous glucose monitoringpatient-reported outcomespsychological barrierspsychosocial issues

Identifiers

PMID27234808
PMCPMC4928243

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.