Evidence map›Paper›PMID 24923859›Full record

ReviewJournal of immigrant and minority health2015

Depression in Cardiovascular Patients in Middle Eastern Populations: A Literature Review.

Tam Truong Donnelly, Jassim Mohd Al Suwaidi, Awad Al-Qahtani, Nidal Asaad, Najlaa Abdul Qader, Rajvir Singh, Tak Shing Fung, Irem Mueed, Shima Sharara, Noha El Banna and 1 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of immigrant and minority health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Tam Truong DonnellyUniversity of Calgary-Qatar, P.O. Box 23133, Al Rayyan Campus, Al Forousiya Road, Doha, Qatar, tdonnell@ucalgary.ca.
Jassim Mohd Al Suwaidi
Awad Al-Qahtani
Nidal Asaad
Najlaa Abdul Qader
Rajvir Singh
Tak Shing Fung
Irem Mueed
Shima Sharara
Noha El Banna
Sarah Omar

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular disease (CVD) is increasing in Middle Eastern countries. Depression is associated with increased morbidity and mortality rates among cardiovascular (CV) patients. Early detection of and intervention for depression among CV patients can reduce morbidity and mortality and save health care costs. Public information on mental health care needs of Arab CV patients living in Middle East regions is scattered and limited. This literature review surveyed and summarized research studies to learn what is known about the relationship between depression and CVD in Middle Eastern populations. The information will raise awareness among health care professionals and policy makers regarding the clinical significance of depression in Arab CV patients. It might contribute to development of culturally appropriate and effective mental health care services. Multiple databases were searched and 60 articles were assessed, including studies that investigated depression in Arab CV patient populations, physiological mechanisms of depression-CVD comorbidity, and intervention strategies that affect CV risk in depressed Arab patients. We discuss the extent to which this issue has been explored in Arab populations living in Middle East regions and Arab populations living abroad. We recommend that more comprehensive and in-depth research studies be conducted with Arab cardiac patients to enable implementation of culturally appropriate and effective mental health care interventions.

Indexed as

Cardiovascular DiseasesDepressionHumansMiddle East

Identifiers

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.