ReviewNeuropsychiatric disease and treatment2020
Interpersonal Psychotherapy for Late-life Depression and its Potential Application in China.
Review in Neuropsychiatric disease and treatment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06839287 (The Effect of Relationship Psychotherapy-Based Counselling Applied to Individuals Receiving Hemodialysis Adjusment to Illness and Depression Levels), which is not on this map. Cited by 7 papers.
What it found
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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.
The Effect of Relationship Psychotherapy-Based Counselling Applied to Individuals Receiving Hemodialysis Adjusment to Illness and Depression Levels: A Randomised Controlled Study
Who cites it
7 citing papers in PubMed, 17 citations in OpenAlex.
- Global, regional, and national burden of geriatric depressive disorders in people aged 60 years and older: an analysis of the Global Burden of Disease Study 2021.Annals of general psychiatry · 2025Article
- Psychotherapeutic Interventions for Depressive Symptoms in Community-Dwelling Older Adults: A Systematic Review with Meta-Analysis.Healthcare (Basel, Switzerland) · 2024Review
- Research status and global trends of late-life depression from 2004 to 2023: bibliometric analysis.Frontiers in aging neuroscience · 2024Article
- The moderating effect of emotion regulation in the association between social support and religiosity and psychological distress in adults.BMC psychology · 2023Article
- Application of interpersonal psychotherapy for late-life depression in China: A case report.Frontiers in psychiatry · 2023Article
- Cross-Sectional Associations between Living and Built Environments and Depression Symptoms among Chinese Older Adults.International journal of environmental research and public health · 2022Article
- The Effectiveness of Interpersonal Psychotherapy on Alexithymia, Emotion Regulation, and Psychological Capital of Male Substance Abusers Treated by Addiction Treatment Centers in Kerman.Addiction & health · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Interpersonal psychotherapy (IPT) is a time-limited, structured, interpersonally oriented psychotherapy, with demonstrated efficacy for the treatment of major depression across the lifespan. IPT uses a medical model of illness and links depressed mood to four research-informed interpersonal problem areas: complicated grief, role transitions, role disputes, and interpersonal deficits/sensitivity. The IPT model of vulnerability to depression nicely dovetails with interpersonal issues that are faced by older adults, and this article focuses on the application of IPT for late-life depression in China. The group format of IPT may be a practical and efficient method of improving access to an established depression-focused treatment for China's rapidly aging population and has the advantage of providing important social support for patients who feel lonely, isolated, and stigmatized. Short-term interventions like IPT are more cost-effective from a public health perspective and can easily be delivered in primary care facilities, where many elderly patients receive care. IPT is effective in different cultures, and possible cultural adaptations of IPT for older adults in China are discussed herein.
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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.