Evidence map›Paper›PMID 40613952›Full record

ReviewCurrent cardiology reports2025

Insomnıa ın Heart Faılure Patıents ın a Hospıtal Settıng: Causes, Consequences, and Interventıons.

Mehmet Emin Atay, Bahar Çiftçi

Abstract readReview
In one paragraph

Review in Current cardiology reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

2 authors.

Mehmet Emin AtayAğrı İbrahim Çeçen University, Ağrı, Türkiye.ORCID http://orcid.org/0000-0002-5373-9031
Bahar ÇiftçiAtatürk University, Erzurum, Türkiye. bahar.ciftci@atauni.edu.tr.ORCID http://orcid.org/0000-0001-6221-3042

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewThis review explores the causes, consequences, and management approaches of hospital-acquired insomnia in patients with heart failure (HF). It examines the key factors contributing to insomnia in hospitalized HF patients, its impact on health outcomes, and effective management strategies to address the issue. RECENT

findingsRecent research highlights that environmental factors (such as noise, lighting, and medical interventions) and clinical symptoms (including dyspnea and nocturia) significantly contribute to insomnia in hospitalized HF patients. Insomnia exacerbates HF symptoms, increasing hospitalization rates, healthcare costs, and the risk of cardiovascular complications. Non-pharmacological interventions have improved sleep quality and overall well-being, including Cognitive Behavioral Therapy for Insomnia (CBT-I), sleep hygiene education, and supervised exercise programs. Hospital-acquired insomnia negatively affects both the physical and psychosocial health of HF patients. Effective management requires a multidisciplinary approach, incorporating both pharmacological and non-pharmacological strategies. Nurses play a crucial role in implementing sleep-promoting interventions. Creating a hospital environment that supports sleep, raising healthcare professionals' awareness, and integrating evidence-based interventions can enhance recovery outcomes. Future research should focus on long-term studies evaluating the efficacy of insomnia management strategies in HF patients.

Indexed as

Heart FailureSleep Initiation and Maintenance DisordersCognitive Behavioral TherapyHospitalizationHumansRisk FactorsHeart failureHospital environmentInsomniaQuality of lifeSleep management

Identifiers

PMID40613952
PMCPMC12227457

What OpenQuestion holds

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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.