Evidence map›Paper›PMID 34465577›Full record

ArticleBJGP open2021

Characteristics of patients with heart failure with preserved ejection fraction in primary care: a cross-sectional analysis.

Faye Forsyth, James Brimicombe, Joseph Cheriyan, Duncan Edwards, Fd Richard Hobbs, Navazh Jalaludeen, Jonathan Mant, Mark Pilling, Rebekah Schiff, Clare J Taylor and 3 more

Open access · goldAbstract read
In one paragraph

Article in BJGP open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 13% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Immunology of heart failure with preserved ejection fraction.Expert review of clinical immunology · 2025
    Pooled it
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  8. Observational
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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

13 authors at 3 institutions in 1 country.

Faye ForsythDepartment of Public Health and Primary Care, University of Cambridge School of Clinical Medicine, Cambridge, UK.ORCID https://orcid.org/0000-0003-2107-3690
James BrimicombeDepartment of Public Health and Primary Care, University of Cambridge School of Clinical Medicine, Cambridge, UK.
Joseph CheriyanDivision of Experimental Medicine and Immunotherapeutics, Department of Medicine, University of Cambridge School of Clinical Medicine, Cambridge, UK.
Duncan EdwardsDepartment of Public Health and Primary Care, University of Cambridge School of Clinical Medicine, Cambridge, UK.
Fd Richard HobbsNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Navazh JalaludeenDivision of Experimental Medicine and Immunotherapeutics, Department of Medicine, University of Cambridge School of Clinical Medicine, Cambridge, UK.
Jonathan MantDepartment of Public Health and Primary Care, University of Cambridge School of Clinical Medicine, Cambridge, UK.
Mark PillingDepartment of Public Health and Primary Care, University of Cambridge School of Clinical Medicine, Cambridge, UK.
Rebekah SchiffDepartment of Ageing and Health, Guy's and St. Thomas' NHS Foundation Trust, London, UK.
Clare J TaylorNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
M Justin ZamanNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Christi DeatonDepartment of Public Health and Primary Care, University of Cambridge School of Clinical Medicine, Cambridge, UK cd531@medschl.cam.ac.uk.
OPTIMISE HFpEF investigators and collaborators
University of Cambridge · GBUniversity of Oxford · GBGuy's and St Thomas' NHS Foundation Trust · GB

Funding

Medical Research Council MC_PC_11004
6 · The paper itself

Abstract

backgroundMany patients with heart failure with preserved ejection fraction (HFpEF) are undiagnosed, and UK general practice registers do not typically record heart failure (HF) subtype. Improvements in management of HFpEF is dependent on improved identification and characterisation of patients in primary care.

aimTo describe a cohort of patients recruited from primary care with suspected HFpEF and compare patients in whom HFpEF was confirmed and refuted. DESIGN &

settingBaseline data from a longitudinal cohort study of patients with suspected HFpEF recruited from primary care in two areas of England.

methodA screening algorithm and review were used to find patients on HF registers without a record of reduced ejection fraction (EF). Baseline evaluation included cardiac, mental and physical function, clinical characteristics, and patient reported outcomes. Confirmation of HFpEF was clinically adjudicated by a cardiologist.

resultsIn total, 93 (61%) of 152 patients were confirmed HFpEF. The mean age of patients with HFpEF was 79 years, 46% were female, 80% had hypertension, and 37% took ≥10 medications. Patients with HFpEF were more likely to be obese, pre-frail or frail, report more dyspnoea and fatigue, were more functionally impaired, and less active than patients in whom HFpEF was refuted. Few had attended cardiac rehabilitation.

conclusionPatients with confirmed HFpEF had frequent multimorbidity, functional impairment, frailty, and polypharmacy. Although comorbid conditions were similar between people with and without HFpEF, the former had more obesity, symptoms, and worse physical function. These findings highlight the potential to optimise wellbeing through comorbidity management, medication rationalisation, rehabilitation, and supported self-management.

Indexed as

frailtyheart failure with preserved ejection fractionmultimorbidityprimary health care

Identifiers

PMID34465577
PMCPMC9447293
OpenAlexW3197283119

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.