ReviewYeungnam University journal of medicine2018
Diabetes and depression.
Review in Yeungnam University journal of medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 4 of them syntheses that pooled 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.
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.
Who cites it
8 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Impact of GLP-1 Receptor Agonists on Suicide Behavior: A Meta-Analysis Based on Randomized Controlled Trials.Journal of diabetes · 2025 · on this mapPooled it
- RETRACTED: Investigating the association between diabetes and carpal tunnel syndrome: A systematic review and meta-analysis approach.PloS one · 2024Pooled it
- Biopsychosocial and Nutritional Factors of Depression among Type 2 Diabetes Mellitus Patients: A Systematic Review.International journal of environmental research and public health · 2022Pooled it
- Low Social Support and Risk for Depression in People With Type 2 Diabetes Mellitus: A Systematic Review and Meta-analysis.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2022Pooled it
- Interaction between dietary quality and depression on glycaemic control in type 2 diabetics.BMC public health · 2025Article
- Understanding the Relationship between Environmental Factors and Mental Health Status among Type 2 Diabetes Mellitus Patients: A Scoping Review.Iranian journal of public health · 2024Article
- Bioinformatics and Network Pharmacology-Based Approaches to Explore the Potential Mechanism of the Antidepressant Effect of Cyperi Rhizoma through Soothing the Liver.Evidence-based complementary and alternative medicine : eCAM · 2021Article
- Habenula lesions improve glucose metabolism in rats with type 2 diabetes by increasing insulin sensitivity and inhibiting gluconeogenesis.BMJ open diabetes research & care · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diabetes and depression are serious chronic conditions. As a result of their increasing prevalence, diabetes and depression, together with population growth and aging, are public health issues. The rate of depression in adults with either type 1 diabetes or type 2 diabetes is high relative to the general population. The coexistence of diabetes and depression has attracted much interest. Although it is unclear whether diabetes and depression are causally linked, most studies have shown that the association between diabetes and depression might be bidirectional. Currently, emotional well-being is becoming an increasingly important aspect of diabetes care and self-management. Psychiatric disorders and diabetic distress among people with diabetes may increase the risk of diabetes complication and mortality. Thus, assessment and appropriate management of depression in people with diabetes should be considered to achieve psychological well-being and optimize medical outcomes.
Indexed as
Identifiers
What OpenQuestion holds
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.