Evidence map›Paper›PMID 35832210›Full record

ArticleJournal of engineering and science in medical diagnostics and therapy2019

Acoustic Signatures of Left Ventricular Assist Device Thrombosis.

Priyesh Patel, Boyla Mainsah, Carmelo A Milano, Douglas P Nowacek, Leslie Collins, Ravi Karra

Open access · greenAbstract read
In one paragraph

Article in Journal of engineering and science in medical diagnostics and therapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. 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

6 authors at 2 institutions in 1 country.

Priyesh PatelMedical Center and WakeMed Heart Center, Duke University, 3000 New Bern Avenue, Suite 1200, Raleigh, NC 27610 e-mail: priyesh.patel@dm.duke.edu.
Boyla MainsahDepartment of Electrical and Computer Engineering, Duke University, 130 Hudson Hall, Durham, NC 27708 e-mail: boyla.mainsah@duke.edu.
Carmelo A MilanoMedical Center, Duke University, Box 3043, Durham, NC 27710 e-mail: carmelo.milano@duke.edu.
Douglas P NowacekMarine Laboratory, Duke University, 135 Duke Marine Lab Road, Beaufort, NC 28516 e-mail: doug.nowacek@duke.edu.
Leslie CollinsDepartment of Electrical and Computer Engineering, Duke University, 130 Hudson Hall, Durham, NC 27708 e-mail: leslie.collins@duke.edu.
Ravi KarraMedical Center, Duke University, Box 3126, Durham, NC 27710 e-mail: ravi.karra@duke.edu.
Duke University · USWake Research · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Left ventricular assist devices (LVADs) are life-saving, surgically implanted mechanical heart pumps used to treat patients with advanced heart failure (HF). While life-saving, LVAD support is associated with a high incidence of complications, making early recognition and management of LVAD complications a critical need. Blood clot formation within the LVAD, known as LVAD thrombosis, is a catastrophic complication of LVAD therapy that often requires LVAD exchange due to delayed diagnosis and treatment. Using digital stethoscopes, we identified differences in acoustic spectra from two patients presenting with LVAD thrombosis compared with normally functioning LVAD pumps within the same patient. Importantly, these acoustic changes were present even in the absence of typical signs of HF that are often present in LVAD thrombosis patients. Our work suggests that acoustic spectral analysis of digital stethoscope signals could be used for early detection and mitigation of LVAD complications.

Identifiers

PMID35832210
PMCPMC8597569
OpenAlexW2893196603

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.