Evidence map›Paper›PMID 38075974›Full record

ArticleFrontiers in cardiovascular medicine2023

Impact of loop diuretic dosage in a population of patients with acute heart failure: a retrospective analysis.

P Meani, M Pagnoni, G M Mondellini, S Fiorenza, H P Brunner-La Rocca

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 19% 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

6 citing papers in PubMed, 5 citations in OpenAlex.

  1. Trial
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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

5 authors at 4 institutions in 3 countries.

P Meani *Cardio-Thoracic Surgery Department, Heart & Vascular Centre, Maastricht University Medical Centre, Maastricht (MUMC), Maastricht, Netherlands.
M Pagnoni *Division of Cardiology, Lausanne University Hospital, Lausanne, Switzerland.
G M MondelliniDivision of Cardiology, Università Degli Studi di Milano, Milan, Italy.
S FiorenzaDivision of Cardiology, Istituto Clinico Città Studi, Milan, Italy.
H P Brunner-La RoccaCardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Centre (MUMC+), Maastricht, Netherlands.
Maastricht University Medical Centre · NLIstituto di Sessuologia Clinica · ITUniversity of Lausanne · CHUniversity of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Loop diuretics are essential for managing congestion in acute heart failure (AHF) patients, but concerns exist about their dosing and administration. This study aims to explore the relationship between aggressive diuretic treatment and clinical outcomes in AHF patients. Methods: We randomly selected 370 AHF patients from admissions at Maastricht University Medical Center between January 2011 and March 2017. Patients were divided into four quartiles based on diuretic doses administrated during index hospitalization. The primary endpoint was a composite of cardiovascular (CV) rehospitalization or death at 1 year. Results: 42.4% of patients experimented the primary outcome The composite endpoint rates were 35.4%, 41.6%, 38.5%, and 54.9%, respectively, from lowest to highest dose quartiles ( Conclusions: High loop diuretic doses are associated with poor outcomes in AHF patients, reflecting disease severity rather than harm from aggressive diuretic use. Furthermore, high diuretic doses do not seem to negatively affect kidney function.

Indexed as

acute heart failureacute heart failure outcomesacute heart failure treatmentloop diureticsworsening renal function

Identifiers

PMID38075974
PMCPMC10701382
OpenAlexW4388928662

What OpenQuestion holds

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LicenceCC BY
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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.