Evidence map›Paper›PMID 36526318›Full record

ArticleBMJ open2022

Clinical characteristics and mortality of patients with heart failure in Southern Sweden from 2013 to 2019: a population-based cohort study.

Jason Davidge, Awais Ashfaq, Kristina Malene Ødegaard, Mattias Olsson, Madlaina Costa-Scharplatz, Björn Agvall

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.5field-weighted citation impact, top 9% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

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  8. Burden of comorbidities in heart failure patients in Türkiye.Turkish journal of medical sciences · 2024
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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 at 5 institutions in 4 countries.

Jason DavidgeCenter for Primary Health Care Research, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden jason_troy.davidge@med.lu.se.ORCID 0000-0002-2523-3148
Awais AshfaqCenter for Applied Intelligent Systems Research (CAISR), Halmstad University, Halmstad, Sweden.
Kristina Malene ØdegaardInstitute of Clinical Medicine, University of Oslo, Oslo, Norway.
Mattias OlssonCenter for Applied Intelligent Systems Research (CAISR), Halmstad University, Halmstad, Sweden.
Madlaina Costa-ScharplatzNovartis Sverige AB, Taby, Sweden.
Björn AgvallDepartment of Research and Development, Region Halland, Halmstad, Sweden.ORCID 0000-0002-3956-6103
Intelligent Systems Research (United States) · USHallands sjukhus Halmstad · SELund University · SENovartis (Sweden) · SEUniversity of Oslo · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo describe clinical characteristics and prognosis related to heart failure (HF) phenotypes in a community-based population by applying a novel algorithm to obtain ejection fractions (EF) from electronic medical records.

designRetrospective population-based cohort study.

settingData were collected for all patients with HF in Southwest Sweden. The region consists of three acute care hospitals, 40 inpatient wards, 2 emergency departments, 30 outpatient specialty clinics and 48 primary healthcare.

participants8902 patients had an HF diagnosis based on the International Classification of Diseases, Tenth Revision during the study period. Patients <18 years as well as patients declining to participate were excluded resulting in a study population of 8775 patients. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcome measure was distribution of HF phenotypes by echocardiography. The secondary outcome measures were 1 year all-cause mortality and HR for all-cause mortality using Cox regression models.

resultsOut of 8775 patients with HF, 5023 (57%) had a conclusive echocardiography distributed into HF with reduced EF (35%), HF with mildly reduced EF (27%) and HF with preserved EF (38%). A total of 43% of the cohort did not have a conclusive echocardiography, and therefore no defined phenotype (HF-NDP). One-year all-cause mortality was 42% within the HF-NDP group and 30% among those with a conclusive EF. The HR of all-cause mortality in the HF-NDP group was 1.27 (95% CI 1.17 to 1.37) when compared with the confirmed EF group. There was no significant difference in survival within the HF phenotypes.

conclusionsThis population-based study showed a distribution of HF phenotypes that varies from those in selected HF registries, with fewer patients with HF with reduced EF and more patients with HF with preserved EF. Furthermore, 1-year all-cause mortality was significantly higher among patients with HF who had not undergone a conclusive echocardiography at diagnosis, highlighting the importance of correct diagnostic procedure to improve treatment strategies and outcomes.

Indexed as

Heart FailureCohort StudiesHospitalizationHumansPrognosisRegistriesRetrospective StudiesStroke VolumeSwedenechocardiographyepidemiologyheart failure

Identifiers

PMID36526318
PMCPMC9764664
OpenAlexW4311686578

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.