Evidence map›Paper›PMID 34434582›Full record

ReviewJournal of aging research2021

Depression in the Iranian Elderly: A Systematic Review and Meta-Analysis.

Hedayat Jafari, Dariush Ghasemi-Semeskandeh, Amir Hossein Goudarzian, Tahereh Heidari, Azar Jafari-Koulaee

Abstract readReview
In one paragraph

Review in Journal of aging research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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.

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

11 citing papers in PubMed.

  1. Article
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  8. Quality of life in the elderly: A community study.Caspian journal of internal medicine · 2023
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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

5 authors.

Hedayat JafariNursing Department of Medical Surgical Nursing, Traditional and Complementary Medicine Research Center, Addiction Institute, Mazandaran University of Medical Sciences, Sari, Iran.
Dariush Ghasemi-SemeskandehInstitute for Biomedicine, Eurac Research Institute, Bolzano, Italy.
Amir Hossein GoudarzianStudent Research Committee, Mazandaran University of Medical Sciences, Sari, Iran.
Tahereh HeidariStudent Research Committee, Mazandaran University of Medical Sciences, Sari, Iran.
Azar Jafari-KoulaeeStudent Research Committee, Mazandaran University of Medical Sciences, Sari, Iran.ORCID https://orcid.org/0000-0002-5463-3562

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Depression can lead to increased medical costs, impaired individual and social functioning, nonadherence to therapeutic proceeding, and even suicide and ultimately affect quality of life. It is important to know the extent of its prevalence for successful planning in this regard. This study was conducted to determine the prevalence of depression in the Iranian elderly. This systematic review and meta-analysis study was done through Medline via PubMed, SCOPUS, Web of Science, ProQuest, SID, Embase, and Magiran with determined keywords. Screening was done on the basis of relevance to the purpose of the study, titles, abstracts, full text, and inclusion and exclusion criteria. The quality of the articles was assessed using the Newcastle-Ottawa standard scale. After primary and secondary screening, 30 articles were finally included in the study. According to the 30 articles reviewed, the prevalence of depression in the Iranian elderly was 52 percent based on the random-effects model (CI 95%: 46-58). According to the results of the present study, depression in the Iranian elderly was moderate to high. Therefore, more exact assessment in terms of depression screening in elderly people seems necessary. Coherent and systematic programs, including psychosocial empowerment counselling for the elderly and workshops for their families, are also needed. Researchers can also use the results of this study for future research.

Identifiers

PMID34434582
PMCPMC8382523

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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.