Evidence map›Paper›PMID 37125308›Full record

ArticleEuropean heart journal supplements : journal of the European Society of Cardiology2023

HeartLogic™: real-world data-efficiency, resource consumption, and workflow optimization.

Marco Valerio Mariani, Carlo Lavalle, Giovanni Battista Forleo, Domenico Giovanni Della Rocca, Annamaria Martino, Marco Panuccio, Alessandro Fagagnini, Marco Rebecchi, Leonardo Calò, Luca Santini

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PubMed Full text at PMC Publisher
In one paragraph

Article in European heart journal supplements : journal of the European Society of Cardiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 18% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. Article
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 at 5 institutions in 2 countries.

Marco Valerio MarianiDepartment of Clinical Internal, Anesthesiologic and Cardiovascular Sciences, Sapienza University of Rome, 00161 Rome, Italy.
Carlo LavalleDepartment of Clinical Internal, Anesthesiologic and Cardiovascular Sciences, Sapienza University of Rome, 00161 Rome, Italy.
Giovanni Battista ForleoCardiology Department, Luigi Sacco Hospital, 20157 Milan, Italy.
Domenico Giovanni Della RoccaSt. David's Medical Center, Texas Cardiac Arrhythmia Institute, Austin, TX 78705, USA.
Annamaria MartinoCardiology Department, Policlinico Casilino, 00169 Rome, Italy.
Marco PanuccioCardiology Department, Policlinico Casilino, 00169 Rome, Italy.
Alessandro FagagniniCardiology Department, Policlinico Casilino, 00169 Rome, Italy.
Marco RebecchiCardiology Department, Policlinico Casilino, 00169 Rome, Italy.
Leonardo CalòCardiology Department, Policlinico Casilino, 00169 Rome, Italy.
Luca SantiniCardiology Division, Giovan Battista Grassi Hospital, Via Gian Carlo Passeroni 28, 00122 Rome, Italy.
Policlinico Casilino · ITSapienza University of Rome · ITAzienda Ospedaliero Universitaria San Giovanni Battista · ITLuigi Sacco Hospital · ITTexas Cardiac Arrhythmia · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heart failure (HF) is a major and still growing medical problem and is characterized by episodes of acute decompensation that are associated with a negative prognosis and a significant burden on the patients, doctors, and healthcare resources. Early detection of incipient HF may allow outpatient treatment before patients severely decompensate, thus reducing HF hospitalizations and related costs. The HeartLogic™ algorithm is an automatic, remotely managed system combining data directly related to HF pathophysiology into a single score, the HeartLogic™ index. This index proved to be effective in predicting the risk of incipient HF decompensation, allowing to redistribute resources from low-risk to high-risk patients in a timely and cost-saving manner. The alert-based remote management system seems more efficient than the one based on scheduled remote transmission in terms of caregivers' workload and alert detection timing. The widespread application of the HeartLogic™ algorithm requires the resolution of logistical and financial issues and the adoption of a pre-defined, functional workflow. In this paper, we reviewed general aspects of remote monitoring in HF patients, the functioning and pathophysiological basis of the HeartLogic index, its efficiency in the management of HF patients, and the economic effects and the organizational revolution associated with its use.

Indexed as

Heart failureHeartLogic™ algorithmRemote monitoring

Identifiers

PMID37125308
PMCPMC10132617
OpenAlexW4367060282

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.