Evidence map›Paper›PMID 38733027›Full record

ReviewSensors (Basel, Switzerland)2024

MEMS Technology in Cardiology: Advancements and Applications in Heart Failure Management Focusing on the CardioMEMS Device.

Francesco Ciotola, Stylianos Pyxaras, Harald Rittger, Veronica Buia

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2024. 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
–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

6 citing papers in PubMed.

  1. Review
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  5. Article
  6. Review
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

4 authors.

Francesco CiotolaMedizinische Klinik I, Klinikum Fürth, Academic Teaching Hospital of the Friedrich-Alexander-University Erlangen-Nürnberg, Jakob-Henle Str. 1, 90766 Fürth, Germany.ORCID 0009-0002-3189-7116
Stylianos PyxarasMedizinische Klinik I, Klinikum Fürth, Academic Teaching Hospital of the Friedrich-Alexander-University Erlangen-Nürnberg, Jakob-Henle Str. 1, 90766 Fürth, Germany.
Harald RittgerMedizinische Klinik I, Klinikum Fürth, Academic Teaching Hospital of the Friedrich-Alexander-University Erlangen-Nürnberg, Jakob-Henle Str. 1, 90766 Fürth, Germany.
Veronica BuiaMedizinische Klinik I, Klinikum Fürth, Academic Teaching Hospital of the Friedrich-Alexander-University Erlangen-Nürnberg, Jakob-Henle Str. 1, 90766 Fürth, Germany.ORCID 0000-0003-1333-9241

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heart failure (HF) is a complex clinical syndrome associated with significant morbidity, mortality, and healthcare costs. It is characterized by various structural and/or functional abnormalities of the heart, resulting in elevated intracardiac pressure and/or inadequate cardiac output at rest and/or during exercise. These dysfunctions can originate from a variety of conditions, including coronary artery disease, hypertension, cardiomyopathies, heart valve disorders, arrhythmias, and other lifestyle or systemic factors. Identifying the underlying cause is crucial for detecting reversible or treatable forms of HF. Recent epidemiological studies indicate that there has not been an increase in the incidence of the disease. Instead, patients seem to experience a chronic trajectory marked by frequent hospitalizations and stagnant mortality rates. Managing these patients requires a multidisciplinary approach that focuses on preventing disease progression, controlling symptoms, and preventing acute decompensations. In the outpatient setting, patient self-care plays a vital role in achieving these goals. This involves implementing necessary lifestyle changes and promptly recognizing symptoms/signs such as dyspnea, lower limb edema, or unexpected weight gain over a few days, to alert the healthcare team for evaluation of medication adjustments. Traditional methods of HF monitoring, such as symptom assessment and periodic clinic visits, may not capture subtle changes in hemodynamics. Sensor-based technologies offer a promising solution for remote monitoring of HF patients, enabling early detection of fluid overload and optimization of medical therapy. In this review, we provide an overview of the CardioMEMS device, a novel sensor-based system for pulmonary artery pressure monitoring in HF patients. We discuss the technical aspects, clinical evidence, and future directions of CardioMEMS in HF management.

Indexed as

Heart FailureCardiologyDisease ManagementHemodynamicsHumansMonitoring, PhysiologicCardioMEMScongestive heart failure (CHF)microelectromechanical sensorspulmonary artery hypertension (PAH)remote monitoringtelemedicine

Identifiers

PMID38733027
PMCPMC11086351

What OpenQuestion holds

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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 OpenQuestion graph.