Evidence map›Paper›PMID 34667413›Full record

ArticleAnnals of pediatric cardiology

Virtual reality-guided left ventricular assist device implantation in pediatric patient: Valuable presurgical tool.

Rajesh Kumar Ramaswamy, Sathish Kumar Marimuthu, Krishna Kumar Ramarathnam, Srinath Vijayasekharan, Kemundel Genny Suresh Rao, Komarakshi R Balakrishnan

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Annals of pediatric cardiology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Surgical planning in virtual reality: a systematic review.Journal of medical imaging (Bellingham, Wash.) · 2024
    Review
  5. Review
  6. Article
  7. Article
  8. Pediatric cardiology: Is India self-reliant?Annals of pediatric cardiology
    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 1 institution in 1 country.

Rajesh Kumar RamaswamyDepartment of Pediatric Cardiology, MGM Health Care, Chennai, Tamil Nadu, India.
Sathish Kumar MarimuthuDepartment of Engineering Design, Indian Institute of Technology, Chennai, Tamil Nadu, India.
Krishna Kumar RamarathnamDepartment of Engineering Design, Indian Institute of Technology, Chennai, Tamil Nadu, India.
Srinath VijayasekharanDepartment of Heart and Lung Transplant/Mechanical Circulatory Support, Institute of Heart and Lung Transplant, MGM Health Care, Chennai, Tamil Nadu, India.
Kemundel Genny Suresh RaoDepartment of Heart and Lung Transplant/Mechanical Circulatory Support, Institute of Heart and Lung Transplant, MGM Health Care, Chennai, Tamil Nadu, India.
Komarakshi R BalakrishnanDepartment of Heart and Lung Transplant/Mechanical Circulatory Support, Institute of Heart and Lung Transplant, MGM Health Care, Chennai, Tamil Nadu, India.
Indian Institute of Technology Madras · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Virtual reality (VR) is increasingly used for presurgical planning and teaching during surgery. However, VR aided presurgical planning toolbox for left ventricular assist device (LVAD) implantation is not widely available. We investigated the use of a VR environment with wearable headsets and touch controllers in simulating an implant in an 11-year-old boy. The technology played a significant role in the optimal positioning of the LVAD.

Indexed as

Left ventricular assist devicesmechanical circulatory supportvirtual reality

Identifiers

PMID34667413
PMCPMC8457285
OpenAlexW3195676966

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.