Evidence map›Paper›PMID 29611010›Full record

ReviewHeart failure reviews2018

Expanded algorithm for managing patients with acute decompensated heart failure.

Joyce N Njoroge, Baljash Cheema, Andrew P Ambrosy, Stephen J Greene, Sean P Collins, Muthiah Vaduganathan, Alexandre Mebazaa, Ovidiu Chioncel, Javed Butler, Mihai Gheorghiade

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Heart failure reviews, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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.

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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Mihai Gheorghiade, MD-Life and Concepts.American journal of therapeutics
    Article
  5. Observational
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

10 authors.

Joyce N NjorogeDepartment of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA. joyce.njoroge@northwestern.edu.
Baljash CheemaDepartment of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Andrew P AmbrosyDuke Clinical Research Institute and Division of Cardiology, Duke University Medical Center, Durham, NC, USA.
Stephen J GreeneDuke Clinical Research Institute and Division of Cardiology, Duke University Medical Center, Durham, NC, USA.
Sean P CollinsVanderbilt University Medical Center, Nashville, TN, USA.
Muthiah VaduganathanBrigham and Women's Hospital Heart and Vascular Center and Harvard Medical School, Boston, MA, USA.
Alexandre MebazaaDepartment of Anesthesia and Critical Care, Inserm U942, Hôpitaux Universitaires Saint-Louis-Lariboisière, Paris, France.
Ovidiu ChioncelInstitute of Emergency for Cardiovascular Diseases "Prof C.C.Iliescu", Bucharest, Romania.
Javed ButlerDepartment of Medicine, University of Mississippi, Oxford, MS, USA.
Mihai GheorghiadeDepartment of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.

Funding

TRAINING PROGRAM IN CARDIOVASCULAR RESEARCHT32HL007604 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI MARK W FEINBERG · 1985 to 2026
$19.0M
Postdoctoral Training in Cardiovascular Clinical ResearchT32HL069749 · NHLBI · DUKE UNIVERSITY · PI MARK, DANIEL B · 2003 to 2023
$6.7M
NHLBI NIH HHS T32 HL007604NHLBI NIH HHS T32 HL069749
6 · The paper itself

Abstract

Heart failure is a complex disease process, the manifestation of various cardiac and noncardiac abnormalities. General treatment approaches for heart failure have remained the same over the past decades despite the advent of novel therapies and monitoring modalities. In the same vein, the readmission rates for heart failure patients remain high and portend a poor prognosis for morbidity and mortality. In this context, development and implementation of improved algorithms for assessing and treating HF patients during hospitalization remains an unmet need. We propose an expanded algorithm for both monitoring and treating patients admitted for acute decompensated heart failure with the goal to improve post-discharge outcomes and decrease rates of rehospitalizations.

Indexed as

AlgorithmsDisease ManagementAcute DiseaseHeart FailureHospitalizationHumansStroke VolumeAcute decompensated heart failure, rehospitalizationsHeart failureHFrEF

Identifiers

PMID29611010
PMCPMC6551605

What OpenQuestion holds

Textmetadata
LicenceTDM
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.