Evidence map›Paper›PMID 35388985›Full record

ArticleMolecular genetics & genomic medicine2022

The use of telemedicine in cardiogenetics clinical practice during the COVID-19 pandemic.

Lusha W Liang, Isha Kalia, Farhana Latif, Marc P Waase, Yuichi J Shimada, Gabriel Sayer, Muredach P Reilly, Nir Uriel

Open access · goldAbstract read
In one paragraph

Article in Molecular genetics & genomic medicine, 2022. 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
2.1field-weighted citation impact, top 13% 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, 11 citations in OpenAlex.

  1. Assessing genetic counseling efficiency with natural language processing.Journal of the American Medical Informatics Association : JAMIA · 2026
    Article
  2. Review
  3. Article
  4. Article
  5. Telemedical monitoring in patients with inborn cardiac disease - experience of a tertiary care centre.Mammalian genome : official journal of the International Mammalian Genome Society · 2023
    Article
  6. Article
  7. Review
  8. 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

8 authors at 1 institution in 1 country.

Lusha W LiangDivision of Cardiology, Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA.ORCID 0000-0003-3931-4085
Isha KaliaDivision of Cardiology, Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA.
Farhana LatifDivision of Cardiology, Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA.
Marc P WaaseDivision of Cardiology, Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA.
Yuichi J ShimadaDivision of Cardiology, Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA.
Gabriel SayerDivision of Cardiology, Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA.
Muredach P ReillyDivision of Cardiology, Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA.
Nir UrielDivision of Cardiology, Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA.
Columbia University Irving Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic has necessitated the rapid and widespread adoption of novel mechanisms of service delivery, including the use of telemedicine. The aim of this study was to examine the impact of COVID-19 on cardiogenetics practices.

methodsWe retrospectively analyzed the clinical characteristics of patients who were seen for cardiogenetics visits pre-pandemic (1 April-23 December 2019) and during the pandemic (1 April-23 December 2020) at Columbia University Irving Medical Center.

resultsSix percent (n = 6) of visits in 2019 were remote telemedicine encounters, whereas 80% (n = 106) of visits in 2020 were telemedicine encounters. In 2019, only 18% (n = 19) of the patients seen for genetic counseling were family members of probands; this percentage increased to 34% in 2020 (n = 45; p = .01). In 2020, the geographic reach of genetic counseling also extended far beyond New York State, reaching a total of 11 states as well as one patient in Puerto Rico. Genetic testing results were similar in 2019 and 2020.

conclusionDespite the health-care delivery barriers created by the COVID-19 pandemic, the use of telemedicine allowed us to expand the reach of cardiovascular genetic counseling and testing.

Indexed as

COVID-19TelemedicineGenetic CounselingHumansPandemicsRetrospective Studiescardiogeneticstelegeneticstelemedicine

Identifiers

PMID35388985
PMCPMC9184656
OpenAlexW4224279918

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.