Evidence map›Paper›PMID 38892871›Full record

ReviewJournal of clinical medicine2024

Mechanical Circulatory Support Devices in Patients with High-Risk Pulmonary Embolism.

Rama Ellauzi, Saliha Erdem, Mohammad Fahad Salam, Ashish Kumar, Vikas Aggarwal, Gerald Koenig, Herbert D Aronow, Mir Babar Basir

Abstract readReview
In one paragraph

Review in Journal of clinical medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Catheter-based techniques for pulmonary embolism treatment.EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology · 2025
    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

8 authors.

Rama EllauziDepartment of Internal Medicine, Henry Ford Hospital, Detroit, MI 48202, USA.ORCID 0009-0002-5986-9168
Saliha ErdemDepartment of Internal Medicine, Detroit Medical Center, Wayne State University, Detroit, MI 48202, USA.ORCID 0000-0001-5443-2915
Mohammad Fahad SalamDepartment of Internal Medicine, Michigan State University, East Lansing, MI 48502, USA.
Ashish KumarDepartment of Internal Medicine, Cleveland Clinic Akron General, Akron, OH 44307, USA.
Vikas AggarwalDepartment of Cardiovascular Medicine, Henry Ford Hospital, Detroit, MI 48202, USA.
Gerald KoenigDepartment of Cardiovascular Medicine, Henry Ford Hospital, Detroit, MI 48202, USA.ORCID 0000-0001-6823-8769
Herbert D AronowDepartment of Cardiovascular Medicine, Henry Ford Hospital, Detroit, MI 48202, USA.ORCID 0000-0002-9061-7893
Mir Babar BasirDepartment of Cardiovascular Medicine, Henry Ford Hospital, Detroit, MI 48202, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pulmonary embolism (PE) is a common acute cardiovascular condition. Within this review, we discuss the incidence, pathophysiology, and treatment options for patients with high-risk and massive pulmonary embolisms. In particular, we focus on the role of mechanical circulatory support devices and their possible therapeutic benefits in patients who are unresponsive to standard therapeutic options. Moreover, attention is given to device selection criteria, weaning protocols, and complication mitigation strategies. Finally, we underscore the necessity for more comprehensive studies to corroborate the benefits and safety of MCS devices in PE management.

Indexed as

massive pulmonary embolismmechanical circulatory support deviceright ventricular assist device

Identifiers

PMID38892871
PMCPMC11172824

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.