Evidence map›Paper›PMID 33518850›Full record

ReviewTrends in analytical chemistry : TRAC2021

Electrochemical sensing: A prognostic tool in the fight against COVID-19.

Sharda Kotru, Martin Klimuntowski, Hashim Ridha, Zakir Uddin, Ali A Askhar, Gurmit Singh, Matiar M R Howlader

Abstract readReview
In one paragraph

Review in Trends in analytical chemistry : TRAC, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Association of Lung Ultrasound Score with Mortality and Severity of COVID-19: A Meta-Analysis and Trial Sequential Analysis.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2021
    Pooled it
  2. Article
  3. Study of VACS applied materials & interfaces · 2024
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Citicoline and COVID-19: vis-à-vis conjectured.Naunyn-Schmiedeberg's archives of pharmacology · 2022
    Review
  10. Review
  11. Article
  12. Review
  13. Review
  14. Article
  15. Rapid diagnosis of COVID-19RSC advances · 2022
    Review
  16. Review
  17. Review
  18. Article
  19. Review
  20. 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

7 authors.

Sharda KotruDepartment of Integrated Biomedical Engineering and Health Sciences, 1280 Main Street West, Hamilton, ON, L8S 4K1, Canada.
Martin KlimuntowskiDepartment of Electrical and Computer Engineering, 1280 Main Street West, Hamilton, ON, L8S 4K1, Canada.
Hashim RidhaSchool of Interdisciplinary Science, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4K1, Canada.
Zakir UddinSchool of Rehabilitation Science, McMaster University, 1400 Main St W, Hamilton, ON, L8S 1C7, Canada.
Ali A AskharDepartment of Medicine, McMaster University, 1280 Main Street West, Hamilton, Ontario, L8S 4K1, Canada.
Gurmit SinghDepartment of Pathology and Molecular Medicine, McMaster University, 1280 Main Street West, Hamilton, Ontario, L8S 4K1, Canada.
Matiar M R HowladerDepartment of Electrical and Computer Engineering, 1280 Main Street West, Hamilton, ON, L8S 4K1, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has devastated the world, despite all efforts in infection control and treatment/vaccine development. Hospitals are currently overcrowded, with health statuses of patients often being hard to gauge. Therefore, methods for determining infection severity need to be developed so that high-risk patients can be prioritized, resources can be efficiently distributed, and fatalities can be prevented. Electrochemical prognostic biosensing of various biomarkers may hold promise in solving these problems as they are low-cost and provide timely results. Therefore, we have reviewed the literature and extracted the most promising biomarkers along with their most favourable electrochemical sensors. The biomarkers discussed in this paper are C-reactive protein (CRP), interleukins (ILs), tumour necrosis factor alpha (TNFα), interferons (IFNs), glutamate, breath pH, lymphocytes, platelets, neutrophils and D-dimer. Metabolic syndrome is also discussed as comorbidity for COVID-19 patients, as it increases infection severity and raises chances of becoming infected. Cannabinoids, especially cannabidiol (CBD), are discussed as a potential adjunct therapy for COVID-19 as their medicinal properties may be desirable in minimizing the neurodegenerative or severe inflammatory damage caused by severe COVID-19 infection. Currently, hospitals are struggling to provide adequate care; thus, point-of-care electrochemical sensor development needs to be prioritized to provide an approximate prognosis for hospital patients. During and following the immediate aftermath of the pandemic, electrochemical sensors can also be integrated into wearable and portable devices to help patients monitor recovery while returning to their daily lives. Beyond the COVID-19 pandemic, these sensors will also prove useful for monitoring inflammation-based diseases such as cancer and cardiovascular disease.

Indexed as

BiofluidsCannabinoidsCOVID-19Electrochemical sensorsHealth monitoringInflammatory biomarkersMetabolic syndromePathophysiologyPrognostic toolsWearable and portable devices

Identifiers

PMID33518850
PMCPMC7825925

What Socratic 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 Socratic graph.