Evidence map›Paper›PMID 37817062›Full record

SynthesisBMC cardiovascular disorders2023

Relationship between comorbidity and health outcomes in patients with heart failure: a systematic review and meta-analysis.

Kyoung Suk Lee, Da-In Park, Jihyang Lee, Oonjee Oh, Nayoung Kim, Gyumi Nam

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC cardiovascular disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 3 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

33 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Guideline
  3. Pooled it
  4. Trial
  5. Prevalence and prognosis of multimorbidity in heart failure with mildly reduced ejection fraction.Clinical research in cardiology : official journal of the German Cardiac Society · 2026
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  10. How do Patient Comorbidities Influence Adult Cochlear Implant Outcomes?Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery · 2026
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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

6 authors.

Kyoung Suk LeeCollege of Nursing, The Research Institute of Nursing Science, Seoul National University, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0002-5083-3743
Da-In ParkDepartment of Nursing, College of Life Science and Nano Technology, Hannam University, Daejeon, Republic of Korea. dpark@hnu.kr.ORCID http://orcid.org/0000-0002-4738-5046
Jihyang LeeCollege of Nursing, The Research Institute of Nursing Science, Seoul National University, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0001-8918-0754
Oonjee OhCollege of Nursing, The Research Institute of Nursing Science, Seoul National University, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0003-0022-1797
Nayoung KimCollege of Nursing, The Research Institute of Nursing Science, Seoul National University, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0002-3147-6402
Gyumi NamSeoul National University Hospital, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0002-4621-8000

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prevalence of heart failure (HF) is expected to rise due to increased survivorship and life expectancy of patients with acute heart conditions. Patients with HF and other multiple comorbid conditions are likely to have poor health outcomes. This study aimed to assimilate the current body of knowledge and to provide the pooled effect of HF patients' comorbid conditions on health outcomes.

methodsA systematic search was performed using MEDLINE, EMBASE and CINAHL databases. Observational studies evaluating the relationship between comorbid conditions and the health outcomes of HF were included. The pooled effect sizes of comorbidity on the identified health outcomes were calculated using a random effects model, and the heterogeneity was evaluated using I

resultsA total of 42 studies were included in this review, and a meta-analysis was performed using the results of 39 studies. In the pooled analysis, the presence of a comorbid condition showed a significant pooled effect size in relation to the prognostic health outcomes: all-cause mortality (HR 1.31; 95% CI 1.18, 1.45), all-cause readmission (HR 1.16; 95% CI 1.09, 1.23), HF-related readmission (HR 1.13; 95% CI 1.05, 1.23), and non-HF-related readmission (HR 1.17; 95% CI 1.07, 1.27). Also, comorbidity was significantly associated with health-related quality of life and self-care confidence. Furthermore, we identified a total of 32 comorbid conditions from included studies. From these, 16 individual conditions were included in the meta-analyses, and we identified 10 comorbid conditions to have negative effects on overall prognostic outcomes: DM (HR 1.16, 95% CI 1.11, 1.22), COPD (HR 1.31, 95% CI 1.23, 1.39), CKD (HR 1.18, 95% CI 1.14, 1.23, stroke (HR 1.25, 95% CI 1.17, 1.31), IHD (HR 1.17, 95% CI 1.11, 1.23), anemia (HR 1.42, 95% CI 1.14, 1.78), cancer (HR 1.17, 95% CI 1.04, 1.32), atrial fibrillation (HR 1.25, 95% CI 1.01, 1.54), dementia (HR 1.19, 95% CI 1.03, 1.36) and depression (HR 1.17, 95% CI 1.04, 1.31).

conclusionsComorbid conditions have significantly negative pooled effects on HF patient health outcomes, especially in regard to the prognostic health outcomes. Clinicians should carefully identify and manage these conditions when implementing HF interventions to improve prognostic outcomes.

Indexed as

Atrial FibrillationHeart FailureComorbidityHumansOutcome Assessment, Health CareQuality of LifeComorbidityHeart failureMeta-analysisMultimorbidityObservational studySystematic review

Identifiers

PMID37817062
PMCPMC10563307

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.