Evidence map›Paper›PMID 40056318›Full record

ReviewCurrent heart failure reports2025

State of the Art in Measuring Frailty in Patients With Heart Failure: from Diagnosis to Advanced Heart Failure.

Izabella Uchmanowicz, Magdalena Lisiak, Katarzyna Lomper, Michał Czapla, Donata Kurpas, Maria Jedrzejczyk, Marta Wleklik

Abstract readReview
In one paragraph

Review in Current heart failure reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
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  5. Article
  6. Article
  7. Review
  8. Review
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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

7 authors.

Izabella UchmanowiczDivision of Research Methodology, Department of Nursing, Faculty of Nursing and Midwifery, Wroclaw Medical University, Bartla 5, Wroclaw, 51-618, Poland.
Magdalena LisiakDivision of Research Methodology, Department of Nursing, Faculty of Nursing and Midwifery, Wroclaw Medical University, Bartla 5, Wroclaw, 51-618, Poland.
Katarzyna LomperDivision of Research Methodology, Department of Nursing, Faculty of Nursing and Midwifery, Wroclaw Medical University, Bartla 5, Wroclaw, 51-618, Poland. katarzyna.lomper@umw.edu.pl.
Michał CzaplaInstitute of Heart Diseases, University Hospital, Wrocław, 50-566, Poland.
Donata KurpasDivision of Research Methodology, Department of Nursing, Faculty of Nursing and Midwifery, Wroclaw Medical University, Bartla 5, Wroclaw, 51-618, Poland.
Maria JedrzejczykDivision of Research Methodology, Department of Nursing, Faculty of Nursing and Midwifery, Wroclaw Medical University, Bartla 5, Wroclaw, 51-618, Poland.
Marta WleklikDivision of Research Methodology, Department of Nursing, Faculty of Nursing and Midwifery, Wroclaw Medical University, Bartla 5, Wroclaw, 51-618, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewThis review aims to present the current state of the art in measuring frailty in patients with heart failure (HF), covering the entire spectrum from diagnosis to advanced stages of the disease. Frailty is a critical factor that significantly impacts outcomes in heart failure, and accurate assessment is essential for guiding treatment and improving prognosis. RECENT

findingsFrailty is increasingly recognized as a key determinant of morbidity and mortality in HF patients. Various tools are available for assessing frailty, but there is no consensus on the optimal method. The assessment of frailty needs to be multidimensional, incorporating physical, cognitive, and social domains. Early detection of frailty, coupled with personalized interventions, has the potential to improve patient outcomes. Integrating routine frailty assessments into the clinical care of heart failure patients is essential for optimizing treatment. Future research should focus on standardizing frailty assessment tools and integrating innovative technologies, such as artificial intelligence, to enhance the precision and applicability of these assessments in clinical practice.

Indexed as

FrailtyGeriatric AssessmentHeart FailureHumansPrognosisAssessment toolsFrailtyHeart failureMultidimensional approachPersonalized care

Identifiers

PMID40056318
PMCPMC11890372

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.