Evidence map›Paper›PMID 34685472›Full record

ReviewLife (Basel, Switzerland)2021

On Analyzing Capnogram as a Novel Method for Screening COVID-19: A Review on Assessment Methods for COVID-19.

M B Malarvili, Mushikiwabeza Alexie, Nadhira Dahari, Anhar Kamarudin

Open access · goldAbstract readReview
In one paragraph

Review in Life (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

1 citing paper in PubMed, 9 citations in OpenAlex.

  1. Review
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

4 authors at 3 institutions in 2 countries.

M B MalarviliSchool of Biomedical and Health Science Engineering, Universiti Teknologi Malaysia, Skudai, Johor Bahru 81310, Malaysia.
Mushikiwabeza AlexieSchool of Biomedical and Health Science Engineering, Universiti Teknologi Malaysia, Skudai, Johor Bahru 81310, Malaysia.
Nadhira DahariSchool of Biomedical and Health Science Engineering, Universiti Teknologi Malaysia, Skudai, Johor Bahru 81310, Malaysia.ORCID 0000-0002-5743-3099
Anhar KamarudinFaculty of Medicine, University Malaya Medical Centre (UMMC), Kuala Lumpur 59100, Malaysia.
University of Technology Malaysia · MYUniversity Malaya Medical Centre · MYUniversity of Rwanda · RW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In November 2019, the novel coronavirus disease COVID-19 was reported in Wuhan city, China, and was reported in other countries around the globe. COVID-19 is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Strategies such as contact tracing and a vaccination program have been imposed to keep COVID-19 under control. Furthermore, a fast, noninvasive and reliable testing device is needed urgently to detect COVID-19, so that contact can be isolated and ringfenced before the virus spreads. Although the reverse transcription polymerase chain reaction (RT-PCR) test is considered the gold standard method for the diagnosis of SARS-CoV-2 infection, this test presents some limitations which cause delays in detecting the disease. The antigen rapid test (ART) test, on the other hand, is faster and cheaper than PCR, but is less sensitive, and may limit SARS-CoV-2 detection. While other tests are being developed, accurate, noninvasive and easy-to-use testing tools are in high demand for the rapid and extensive diagnosis of the disease. Therefore, this paper reviews current diagnostic methods for COVID-19. Following this, we propose the use of expired carbon dioxide (CO

Indexed as

CO2 waveformCOVID-19diagnostic testfeature extractionSARS CoV-2 infectionscreening tool

Identifiers

PMID34685472
PMCPMC8538964
OpenAlexW3205597696

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.