Evidence map›Paper›PMID 39211454›Full record

ArticleBelitung nursing journal2024

Factors predicting depression among persons post-coronary artery bypass graft surgery: A cross-sectional study in Thailand.

Kritphummarin Chongopklang, Rapin Polsook

Abstract read
In one paragraph

Article in Belitung nursing journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Beyond the Heart: The Significance of Depression in Cardiac Surgery.European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery · 2025
    Review
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

2 authors.

Kritphummarin ChongopklangFaculty of Nursing, Chulalongkorn University, Bangkok, Thailand.
Rapin PolsookFaculty of Nursing, Chulalongkorn University, Bangkok, Thailand.ORCID https://orcid.org/0000-0003-3076-9921

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Coronary artery bypass graft (CABG) surgery is a highly effective coronary artery disease treatment, providing immediate relief and promising long-term benefits. However, it is a major procedure with significant risks, including the potential for depression. Many patients experience depression following CABG, which can negatively impact their overall recovery, affecting both physical and mental health. Objective: This study aimed to determine factors predicting depression in patients following CABG surgery. Methods: This cross-sectional study was conducted with data collected between January and April 2024. A total of 272 post-CABG patients from two super tertiary care hospitals in Bangkok, Thailand, were recruited through purposive sampling. All research instruments were validated and tested for reliability. Data were analyzed using multiple regression analysis. Results: The study found that hope, optimism, illness perception, social support, and anxiety were correlated with depression (adjusted Conclusion: Nurses play a vital role in preventing and managing depression in post-CABG patients. Screening for anxiety and addressing it can prevent depression, enhance social support, and improve outcomes. To develop effective nursing strategies, it is essential for nurses to assess anxiety and implement interventions that promote social support, optimism, and illness perception. These measures can improve care quality, reduce readmission rates, and enhance patients' overall quality of life.

Indexed as

anxietycoronary artery bypass graftingheart surgeryhopeillness perceptionoptimismsocial supportThailand

Identifiers

PMID39211454
PMCPMC11350342

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.