Evidence map›Paper›PMID 33040399›Full record

ReviewJournal of cardiac surgery2020

Digital cardiovascular care in COVID-19 pandemic: A potential alternative?

Atul Kaushik, Surendra Patel, Kalika Dubey

Open access · greenAbstract readReview
In one paragraph

Review in Journal of cardiac surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.0field-weighted citation impact, top 7% 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

13 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. The Impact of COVID-19 on Nuclear Medicine in Europe.Seminars in nuclear medicine · 2022
    Review
  11. Article
  12. Review
  13. 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

3 authors at 2 institutions in 1 country.

Atul KaushikDepartment of Cardiology, All India Institute of Medical Sciences (AIIMS), Jodhpur, India.ORCID http://orcid.org/0000-0001-9842-7245
Surendra PatelDepartment of Trauma and Emergency Cardiothoracic Surgery, All India Institute of Medical Sciences (AIIMS), Jodhpur, India.ORCID http://orcid.org/0000-0003-1474-6738
Kalika DubeyDepartment of Maternal and Reproductive Health, Sanjay Gandhi Post Graduate Institute of Medical Sciences (SGPGIMS), Lucknow, India.
All India Institute of Medical Sciences Jodhpur · INSanjay Gandhi Post Graduate Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiovascular patients are at increased risk of acquiring coronavirus disease 2019 (COVID-19) infection while their visit to healthcare facilities. There is a need for alternative tools for optimal monitoring and management of cardiovascular patients in the present pandemic situation. Digital health care may prove to be a new revolutionary tool to protect cardiovascular patients from coronavirus disease by avoiding routine visits to health care facilities that are already overwhelmed with COVID-19 patients.

methodsTo evaluate the role of digital health care in the present era of the COVID-19 pandemic, we have reviewed the published literature on digital health services providing cardiovascular care. RESULTS AND

conclusionDigital health including telemedicine services, robotic telemedicine carts, use of artificial intelligence and machine learning, use of digital gadgets like smartwatches and web-based applications may be a safe alternative for the management of cardiovascular patients in the present pandemic situation.

Indexed as

Artificial IntelligencePandemicsCOVID-19Delivery of Health CareHumansSARS-CoV-2Telemedicineartificial intelligencecardiovascular careCOVID-19 pandemicdigital healthtelemedicine

Identifiers

PMID33040399
PMCPMC7675673
OpenAlexW3092452960

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.