Evidence map›Paper›PMID 36345412›Full record

ArticleBiosensors & bioelectronics: X2022

Outlook of various diagnostics and nanodiagnostic techniques for COVID-19.

Mosam Preethi, Lavanika Roy, Sukanya Lahkar, Vivek Borse

Abstract read
In one paragraph

Article in Biosensors & bioelectronics: X, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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.

Mosam PreethiNanoBioSens Lab, Department of Medical Devices, National Institute of Pharmaceutical Education & Research (NIPER) Hyderabad, Hyderabad, 500037, Telangana, India.
Lavanika RoyNanoBioSens Lab, Department of Medical Devices, National Institute of Pharmaceutical Education & Research (NIPER) Hyderabad, Hyderabad, 500037, Telangana, India.
Sukanya LahkarNanoBioSens Lab, Department of Medical Devices, National Institute of Pharmaceutical Education & Research (NIPER) Hyderabad, Hyderabad, 500037, Telangana, India.
Vivek BorseNanoBioSens Lab, Department of Medical Devices, National Institute of Pharmaceutical Education & Research (NIPER) Hyderabad, Hyderabad, 500037, Telangana, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The sudden outbreak of the coronavirus disease 2019 (COVID-19) pandemic has brought to the fore the existing threat of disease-causing pathogens that affect public health all over the world. It has left the best healthcare systems struggling to contain the spread of disease and its consequences. Under challenging circumstances, several innovative technologies have emerged that facilitated quicker diagnosis and treatment. Nanodiagnostic devices are biosensing platforms developed using nanomaterials such as nanoparticles, nanotubes, nanowires, etc. These devices have the edge over conventional techniques such as reverse transcription-polymerase chain reaction (RT-PCR) because of their ease of use, quicker analysis, possible miniaturization, and scope for use in point-of-care (POC) treatment. This review discusses the techniques currently used for COVID-19 diagnosis, emphasizing nanotechnology-based diagnostic devices. The commercialized nanodiagnostic devices in various research and development stages are also reviewed. The advantages of nanodiagnostic devices over other techniques are discussed, along with their limitations. Additionally, the important implications of the utility of nanodiagnostic devices in COVID-19, their prospects for future development for use in clinical and POC settings, and personalized healthcare are also discussed.

Indexed as

COVID-19 pandemicNanobiosensorsNanodiagnosticsNanoparticlesPOC devicesSARS-CoV-2

Identifiers

PMID36345412
PMCPMC9632232

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.