Evidence map›Paper›PMID 28008698›Full record

ArticleEuropean journal of heart failure2017

Prognostic burden of heart failure recorded in primary care, acute hospital admissions, or both: a population-based linked electronic health record cohort study in 2.1 million people.

Stefan Koudstaal, Mar Pujades-Rodriguez, Spiros Denaxas, Johannes M I H Gho, Anoop D Shah, Ning Yu, Riyaz S Patel, Chris P Gale, Arno W Hoes, John G Cleland and 2 more

3 registry-linked trialsAbstract read
In one paragraph

Article in European journal of heart failure, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 77 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed, 6 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.

NCT02551016 unknown statusnot on this map

Capture and Concordance of Heart Failure Recorded in Primary Care, Hospital Admissions and National Mortality Registry: A Cohort Study In 2.1 Million People

TypeobservationalSponsorUniversity College, LondonRan2015 to 2015Enrolled100,000ConditionsHeart Failure
NCT06940544 narecruitingnot on this mapstarted 2023, after this paper: background citation

Uppsala Self-SCREENing of Heart Failure Study

TypeinterventionalSponsorUppsala UniversityRan2023 to 2026Enrolled500ConditionsHeart FailureArmsStepwise Multimodal Home-Based HF Screening
NCT07339007 enrolling by invitationnot on this mapstarted 2023, after this paper: background citation

Observational Study to Validate a Family Physician Echocardiography Training Programme

Typeobservational_patient_registrySponsorSocietat Catalana de Medicina Familiar i Comunitària, Assoc. (CAMFiC)Ran2023 to 2027Enrolled500ConditionsHeart Failure, Valvular Heart Diseases, Atrial Fibrillation (AF), Arterial HypertensionArmsCohort of GPs: Training program, Cohort of patients
3 · Its place in the literature

Who cites it

77 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Highlights in heart failure.ESC heart failure · 2019
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  11. Conceptualising diagnostic liminality: a qualitative exploration of the journey to heart failure diagnosis.The British journal of general practice : the journal of the Royal College of General Practitioners · 2026
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17 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Stefan KoudstaalFarr Institute of Health Informatics Research, London, UK.
Mar Pujades-RodriguezFarr Institute of Health Informatics Research, London, UK.
Spiros DenaxasFarr Institute of Health Informatics Research, London, UK.
Johannes M I H GhoDepartment of Cardiology, University Medical Centre Utrecht, Utrecht, The Netherlands.
Anoop D ShahFarr Institute of Health Informatics Research, London, UK.
Ning YuFarr Institute of Health Informatics Research, London, UK.
Riyaz S PatelFarr Institute of Health Informatics Research, London, UK.
Chris P GaleLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.
Arno W HoesJulius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, The Netherlands.
John G ClelandFaculty of Medicine, National Heart & Lung Institute, Imperial College London, London, UK.
Folkert W AsselbergsFarr Institute of Health Informatics Research, London, UK.
Harry HemingwayFarr Institute of Health Informatics Research, London, UK.

Funding

Arthritis Research UKBritish Heart Foundation FS/14/76/30933Cancer Research UKChief Scientist OfficeMedical Research Council MR/K006584/1Medical Research Council MR/L01629X/1Wellcome Trust 093830
6 · The paper itself

Abstract

aimsThe prognosis of patients hospitalized for worsening heart failure (HF) is well described, but not that of patients managed solely in non-acute settings such as primary care or secondary outpatient care. We assessed the distribution of HF across levels of healthcare, and assessed the prognostic differences for patients with HF either recorded in primary care (including secondary outpatient care) (PC), hospital admissions alone, or known in both contexts. METHODS AND

resultsThis study was part of the CALIBER programme, which comprises linked data from primary care, hospital admissions, and death certificates for 2.1 million inhabitants of England. We identified 89 554 patients with newly recorded HF, of whom 23 547 (26%) were recorded in PC but never hospitalized, 30 629 (34%) in hospital admissions but not known in PC, 23 681 (27%) in both, and 11 697 (13%) in death certificates only. The highest prescription rates of ACE inhibitors, beta-blockers, and mineralocorticoid receptor antagonists was found in patients known in both contexts. The respective 5-year survival in the first three groups was 43.9% [95% confidence interval (CI) 43.2-44.6%], 21.7% (95% CI 21.1-22.2%), and 39.8% (95% CI 39.2-40.5%), compared with 88.1% (95% CI 87.9-88.3%) in the age- and sex-matched general population.

conclusionIn the general population, one in four patients with HF will not be hospitalized for worsening HF within a median follow-up of 1.7 years, yet they still have a poor 5-year prognosis. Patients admitted to hospital with worsening HF but not known with HF in primary care have the worst prognosis and management. Mitigating the prognostic burden of HF requires greater consistency across primary and secondary care in the identification, profiling, and treatment of patients.

trial registrationNCT02551016.

Indexed as

Heart FailurePrimary Health CareAgedAmbulatory CareCardiovascular AgentsCohort StudiesCost of IllnessElectronic Health RecordsEnglandFemaleHospitalizationHumansMaleMiddle AgedNeeds AssessmentPatient Care ManagementCardiovascular AgentsAcute hospital admissionElectronic health recordsEpidemiologyHeart failurePrimary carePrognosis

Identifiers

PMID28008698
PMCPMC5420446

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.