Evidence map›Paper›PMID 34607509›Full record

ReviewBioengineered2021

Recent findings and applications of biomedical engineering for COVID-19 diagnosis: a critical review.

Le Minh Bui, Huong Thi Thu Phung, Thuy-Tien Ho Thi, Vijai Singh, Rupesh Maurya, Khushal Khambhati, Chia-Ching Wu, Md Jamal Uddin, Do Minh Trung, Dinh Toi Chu

Abstract readReview
In one paragraph

Review in Bioengineered, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Planning and Budgeting of Medical Devices Among Ethiopian Public Hospitals.ClinicoEconomics and outcomes research : CEOR · 2022
    Article
  7. Review
  8. Article
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

10 authors.

Le Minh BuiNTT Hi-Tech Institute, Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam.
Huong Thi Thu PhungNTT Hi-Tech Institute, Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam.
Thuy-Tien Ho ThiCenter for Biomedicine and Community Health, International School, Vietnam National University, Hanoi, Vietnam.
Vijai SinghDepartment of Biosciences, School of Science, Indrashil University, Mehsana, Gujarat, India.
Rupesh MauryaDepartment of Biosciences, School of Science, Indrashil University, Mehsana, Gujarat, India.
Khushal KhambhatiDepartment of Biosciences, School of Science, Indrashil University, Mehsana, Gujarat, India.
Chia-Ching WuDepartment of Cell Biology and Anatomy, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Md Jamal UddinABEx Bio-Research Center, East Azampur, Dhaka, Bangladesh.ORCID 0000-0003-2911-3255
Do Minh TrungInstitute of Biomedicine and Pharmacy, Vietnam Military Medical University, Hanoi, Vietnam.
Dinh Toi ChuCenter for Biomedicine and Community Health, International School, Vietnam National University, Hanoi, Vietnam.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 is one of the most severe global health crises that humanity has ever faced. Researchers have restlessly focused on developing solutions for monitoring and tracing the viral culprit, SARS-CoV-2, as vital steps to break the chain of infection. Even though biomedical engineering (BME) is considered a rising field of medical sciences, it has demonstrated its pivotal role in nurturing the maturation of COVID-19 diagnostic technologies. Within a very short period of time, BME research applied to COVID-19 diagnosis has advanced with ever-increasing knowledge and inventions, especially in adapting available virus detection technologies into clinical practice and exploiting the power of interdisciplinary research to design novel diagnostic tools or improve the detection efficiency. To assist the development of BME in COVID-19 diagnosis, this review highlights the most recent diagnostic approaches and evaluates the potential of each research direction in the context of the pandemic.

Indexed as

Artificial IntelligenceBiomedical EngineeringBiosensing TechniquesCOVID-19COVID-19 Nucleic Acid TestingCOVID-19 Serological TestingCRISPR-Cas SystemsHumansImmunoassayMicrofluidicsPublic HealthSARS-CoV-2biomedical engineeringCOVID-19CRISPRdiagnosisimmunoassayiNAATmicrofluidic devicesRT-PCR

Identifiers

PMID34607509
PMCPMC8806999

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.