Evidence map›Paper›PMID 28215466›Full record

SynthesisInternational journal of cardiology2017

The prevalence of frailty in heart failure: A systematic review and meta-analysis.

Quin E Denfeld, Kerri Winters-Stone, James O Mudd, Jill M Gelow, Sawsan Kurdi, Christopher S Lee

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in International journal of cardiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 223 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
223citing papers in PubMed, 8 pooled it
15.0field-weighted citation impact, top 1% of its field
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

223 citing papers in PubMed, 8 syntheses or guidelines pooled it, 488 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Pooled it
  9. Trial
  10. Trial
  11. Trial
  12. Trial
  13. Review
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article

163 more citing papers are in PubMed but not listed here.

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 at 2 institutions in 1 country.

Quin E DenfeldOregon Health & Science University Knight Cardiovascular Institute, Portland, OR, USA; Oregon Health & Science University School of Nursing, Portland, OR, USA. Electronic address: denfeldq@ohsu.edu.
Kerri Winters-StoneOregon Health & Science University School of Nursing, Portland, OR, USA; Oregon Health & Science University Knight Cancer Institute, Portland, OR, USA.
James O MuddOregon Health & Science University Knight Cardiovascular Institute, Portland, OR, USA.
Jill M GelowOregon Health & Science University Knight Cardiovascular Institute, Portland, OR, USA.
Sawsan KurdiThe University of Arizona College of Pharmacy, Tucson, AZ, USA.
Christopher S LeeOregon Health & Science University Knight Cardiovascular Institute, Portland, OR, USA; Oregon Health & Science University School of Nursing, Portland, OR, USA.
Oregon Health & Science University · USUniversity of Arizona · US

Funding

Training in Translational Science and Cardiovascular MedicineT32HL094294 · NHLBI · OREGON HEALTH & SCIENCE UNIVERSITY · PI ALKAYED, NABIL J · 2009 to 2018
$3.5M
Symptom Biology and Accelerated Aging in Heart FailureF31NR015936 · NINR · OREGON HEALTH & SCIENCE UNIVERSITY · PI DENFELD, QUIN ELEANOR · 2015 to 2015
$42k
NHLBI NIH HHS T32 HL094294NINR NIH HHS F31 NR015936
6 · The paper itself

Abstract

backgroundThere is a growing interest in the intersection of heart failure (HF) and frailty; however, estimates of the prevalence of frailty in HF vary widely. The purpose of this paper was to quantitatively synthesize published literature on the prevalence of frailty in HF and to examine the relationship between study characteristics (i.e. age and functional class) and the prevalence of frailty in HF.

methodsThe prevalence of frailty in HF, divided into Physical Frailty and Multidimensional Frailty measures, was synthesized across published studies using a random-effects meta-analysis of proportions approach. Meta-regression was performed to examine the influence of age and functional class (at the level of the study) on the prevalence of frailty.

resultsA total of 26 studies involving 6896 patients with HF were included in this meta-analysis. Despite considerable differences across studies, the overall estimated prevalence of frailty in HF was 44.5% (95% confidence interval, 36.2%-52.8%; z=10.54; p<0.001). The prevalence was slightly lower among studies using Physical Frailty measures (42.9%, z=9.05; p<0.001) and slightly higher among studies using Multidimensional Frailty measures (47.4%, z=5.66; p<0.001). There were no significant relationships between study age or functional class and prevalence of frailty.

conclusionsFrailty affects almost half of patients with HF and is not necessarily a function of age or functional classification. Future work should focus on standardizing the measurement of frailty and on broadening the view of frailty beyond a strictly geriatric syndrome in HF.

Indexed as

Clinical Trials as TopicFrailtyHeart FailurePrevalenceAgingFrailtyHeart failureMeta-analysis

Identifiers

PMID28215466
PMCPMC5392144
OpenAlexW2587686068

What OpenQuestion holds

Textmetadata
LicenceTDM
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.