Evidence map›Paper›PMID 34541448›Full record

ReviewJournal of healthcare informatics research2022

Experimental Technologies in the Diagnosis and Treatment of COVID-19 in Patients with Comorbidities.

Md Shahnoor Amin, Marcin Wozniak, Lidija Barbaric, Shanel Pickard, Rahul S Yerrabelli, Anton Christensen, Olivia C Coiado

Open access · bronzeAbstract readReview
In one paragraph

Review in Journal of healthcare informatics research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

0 citing papers in PubMed, 5 citations in OpenAlex.

No citing paper in PubMed yet.

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

7 authors at 3 institutions in 2 countries.

Md Shahnoor AminCarle Illinois College of Medicine, University of Illinois At Urbana-Champaign, Champaign, IL 61820 USA.
Marcin WozniakBeckman Institute for Advanced Science and Technology, Urbana, IL 61801 USA.
Lidija BarbaricCarle Illinois College of Medicine, University of Illinois At Urbana-Champaign, Champaign, IL 61820 USA.
Shanel PickardCarle Illinois College of Medicine, University of Illinois At Urbana-Champaign, Champaign, IL 61820 USA.
Rahul S YerrabelliCarle Illinois College of Medicine, University of Illinois At Urbana-Champaign, Champaign, IL 61820 USA.
Anton ChristensenCarle Illinois College of Medicine, University of Illinois At Urbana-Champaign, Champaign, IL 61820 USA.
Olivia C CoiadoCarle Illinois College of Medicine, University of Illinois At Urbana-Champaign, Champaign, IL 61820 USA.ORCID 0000-0003-1322-5877
University of Illinois Urbana-Champaign · USCarle Foundation Hospital · USUrbana University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has impacted the whole world and raised concerns about its effects on different human organ systems. Early detection of COVID-19 may significantly increase the rate of survival; thus, it is critical that the disease is detected early. Emerging technologies have been used to prevent, diagnose, and manage COVID-19 among the populace in the USA and globally. Numerous studies have revealed the growing implementation of novel engineered systems during the intervention at various points of the disease's pathogenesis, especially as it relates to comorbidities and complications related to cardiovascular and respiratory organ systems. In this review, we provide a succinct, but extensive, review of the pathogenesis of COVID-19, particularly as it relates to angiotensin-converting enzyme 2 (ACE2) as a viral entry point. This is followed by a comprehensive analysis of cardiovascular and respiratory comorbidities of COVID-19 and novel technologies that are used to diagnose and manage hospitalized patients. Continuous cardiorespiratory monitoring systems, novel machine learning algorithms for rapidly triaging patients, various imaging modalities, wearable immunosensors, hotspot tracking systems, and other emerging technologies are reviewed. COVID-19 effects on the immune system, associated inflammatory biomarkers, and innovative therapies are also assessed. Finally, with emphasis on the impact of wearable and non-wearable systems, this review highlights future technologies that could help diagnose, monitor, and mitigate disease progression. Technologies that account for an individual's health conditions, comorbidities, and even socioeconomic factors can drastically reduce the high mortality seen among many COVID-19 patients, primarily via disease prevention, early detection, and pertinent management.

Indexed as

CardiovascularImmune systemInnovationNon-wearablesPulmonaryWearables

Identifiers

PMID34541448
PMCPMC8442516
OpenAlexW3201412233

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.