Evidence map›Paper›PMID 31352531›Full record

ReviewCurrent cardiology reports2019

Current Role of the CardioMEMS Device for Management of Patients with Heart Failure.

Calvin C Leung

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current cardiology reports, 2019. 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. Trial
  2. Review
  3. Predictive Model for Heart Failure Readmission Using Nationwide Readmissions Database.Mayo Clinic proceedings. Innovations, quality & outcomes · 2022
    Article
  4. Review
  5. Nutrition as Treatment Modality in Heart Failure.Current atherosclerosis reports · 2021
    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

1 author.

Calvin C LeungSection of Cardiology, Department of Medicine, Orlando VA Medical Center, 13800 Veterans Way, Orlando, FL, 32827, USA. calvin.leung@va.gov.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewHeart failure (HF) remains a significant burden to our healthcare system and a leading cause of hospitalizations. Current reactive strategies to treat and manage HF have failed to reduce hospitalizations and improve survival. The CardioMEMS device has recently been demonstrated to improve quality of life in HF and reduce HF-related hospitalizations. Current HF management strategies are reviewed with a particular emphasis on the current role of the CardioMEMS device. RECENT

findingsThe CHAMPION trial is the only randomized trial looking at the CardioMEMS device. Patients managed with targeted pulmonary artery pressures resulted in 28% reduction in the primary end-point of HF-related hospitalization at 6 months (HR 0.72, 95% CI 0.60-0.85, p = 0.0002) and 37% reduction during the entire follow-up period, which averaged 15 months (HR 0.63, 95% CI 0.52-0.77, p < 0.0001). The prospective open-label post-approval study recently presented a 58% reduction in HF hospitalizations per patient year (HR 0.42, 95% CI 0.38-0.47, p < 0.0001). Management of HF using the CardioMEMS device has been shown to reduce HF hospitalizations and improve quality of life regardless of ejection fraction. Patients best suited for this device are those with recurrent congestive symptoms despite optimal medical therapy.

Indexed as

Hemodynamic MonitoringPulmonary ArteryBlood Pressure Monitoring, AmbulatoryCatheterization, Swan-GanzCatheters, IndwellingHeart FailureHumansQuality of LifeRandomized Controlled Trials as TopicCardioMEMSHeart failureImplantable hemodynamic monitorPulmonary artery pressure

Identifiers

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.