Evidence map›Paper›PMID 35207508›Full record

ArticleLife (Basel, Switzerland)2022

Do Not Give Up Your Stethoscopes Yet-Telemedicine for Chronic Respiratory Diseases in the Era of COVID-19.

Stephen Simeone, Daniel Condit, Evan Nadler

Open access · goldAbstract read
In one paragraph

Article in Life (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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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.

Stephen SimeoneDepartment of Internal Medicine, University of Connecticut Health Center, Farmington, CT 06030, USA.
Daniel ConditDepartment of Pulmonology and Critical Care Medicine, University of Connecticut Health Center, Farmington, CT 06030, USA.
Evan NadlerDepartment of Pulmonology and Critical Care Medicine, St. Francis Hospital and Medical Center, Hartford, CT 06105, USA.
UConn Health · USSt. Francis Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Telemedicine in its many forms has been utilized across numerous medical specialties to facilitate and expand access to medical care, optimize existing healthcare infrastructure to encourage patient-provider communication, reduce provider burnout, and improve patient surveillance. Since the emergence of the novel coronavirus (COVID-19) pandemic there has been widening of existing socioeconomic disparities in healthcare access for those with chronic respiratory diseases, sparking interest in expanding the use of telemedicine modalities to enhance access to pulmonology specialist care, pulmonary rehabilitation, symptom monitoring, and early identification of clinical exacerbations. Furthermore, the use of telemedicine has been expanded into the intensive care setting to improve patient outcomes and offset provider demands following the increase in critically ill patients due to COVID-19. While an invaluable modality by which to broaden healthcare access and increase the efficacy of care delivery, telemedicine must be used in conjunction with face-to-face physical evaluation and appropriate clinical testing to optimize its benefit. We present here our view of the benefits and disadvantages of the use of telemedicine in the management of chronic respiratory disorders from the perspective of practicing clinicians.

Indexed as

asthmachronic obstructive pulmonary diseaseCOVID-19intensive care unitteleconsultationtelemedicine

Identifiers

PMID35207508
PMCPMC8877139
OpenAlexW4210455846

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.