Evidence map›Paper›PMID 36781199›Full record

ArticleEuropean journal of heart failure2023

Use of and association between heart failure pharmacological treatments and outcomes in obese versus non-obese patients with heart failure with reduced ejection fraction: data from the Swedish Heart Failure Registry.

Chiara Cappelletto, Davide Stolfo, Nicola Orsini, Lina Benson, Daniele Rodolico, Giuseppe M C Rosano, Ulf Dahlström, Gianfranco Sinagra, Lars H Lund, Gianluigi Savarese

Open access · hybridAbstract read
PubMed Publisher
In one paragraph

Article in European journal of heart failure, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

13 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. 2024 update in heart failure.ESC heart failure · 2025
    Review
  10. The Impact of Obesity on Cardiovascular Diseases: Heart Failure.Methodist DeBakey cardiovascular journal · 2025
    Review
  11. Article
  12. Review
  13. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 6 institutions in 3 countries.

Chiara Cappelletto *Division of Cardiology, Department of Medicine, Karolinska Institutet, Stockholm, Sweden.
Davide Stolfo *Division of Cardiology, Department of Medicine, Karolinska Institutet, Stockholm, Sweden.
Nicola OrsiniDepartment of Global Public Health, Karolinska Institutet, Stockholm, Sweden.
Lina BensonDivision of Cardiology, Department of Medicine, Karolinska Institutet, Stockholm, Sweden.
Daniele RodolicoDivision of Cardiology, Department of Medicine, Karolinska Institutet, Stockholm, Sweden.
Giuseppe M C RosanoCardiology Clinical Academic Group, Molecular and Clinical Sciences Research Institute, St Georges, University of London, London, UK.
Ulf DahlströmDepartment of Cardiology and Department of Health, Medicine and Caring Sciences, Linkoping University, Linkoping, Sweden.
Gianfranco SinagraDivision of Cardiology, Cardiothoracovascular Department, Cattinara Hospital, Azienda Sanitaria Universitaria Giuliano Isontina and University of Trieste, Trieste, Italy.
Lars H LundDivision of Cardiology, Department of Medicine, Karolinska Institutet, Stockholm, Sweden.
Gianluigi SavareseDivision of Cardiology, Department of Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0001-7732-0887
University of Trieste · ITKarolinska Institutet · SEKarolinska University Hospital · SELinköping University · SESt George's, University of London · GBUniversità Cattolica del Sacro Cuore · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo investigate the use of guideline-directed medical therapies (GDMT) and associated outcomes in obese (body mass index ≥30 kg/m METHODS AND

resultsPatients with HFrEF from the Swedish HF Registry were included. Of 16 116 patients, 24% were obese. In obese versus non-obese patients, use of treatments was 91% versus 86% for renin-angiotensin system inhibitors (RASi)/angiotensin receptor-neprilysin inhibitors (ARNi), 94% versus 91% for beta-blockers, 53% versus 43% for mineralocorticoid receptor antagonists. Obesity was shown to be independently associated with more likely use of each treatment, triple combination therapy, and the achievement of target dose by multivariable logistic regressions. Multivariable Cox regressions showed use of RASi/ARNi and beta-blockers being independently associated with lower risk of all-cause/cardiovascular death regardless of obesity, although, when considering competing risks, a lower risk of cardiovascular death with RASi/ARNi in obese versus non-obese patients was observed. RASi/ARNi were associated with lower risk of HF hospitalization in obese but not in non-obese patients, whereas beta-blockers were not associated with the risk of HF hospitalization regardless of obesity. At the competing risk analysis, RASi/ARNi use was associated with higher risk of HF hospitalization regardless of obesity.

conclusionObese patients were more likely to receive optimal treatments after adjustment for factors affecting tolerability, suggesting that perceived beyond actual tolerance issues limit GDMT implementation. RASi/ARNi and beta-blockers were associated with lower mortality regardless of obesity, with a greater association between RASi/ARNi and lower cardiovascular death in obese versus non-obese patients when considering competing risk.

Indexed as

Heart FailureAdrenergic beta-AntagonistsAngiotensin Receptor AntagonistsHumansObesityRegistriesStroke VolumeSwedenAdrenergic beta-AntagonistsAngiotensin Receptor AntagonistsBody mass indexHeart failureObesitySwedish Heart Failure RegistryTarget doseTreatments

Identifiers

PMID36781199
OpenAlexW4320481138

What OpenQuestion holds

Textmetadata
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.