Evidence map›Paper›PMID 33596516›Full record

ReviewBiosensors & bioelectronics2021

Internet of medical things (IoMT)-integrated biosensors for point-of-care testing of infectious diseases.

Shikha Jain, Monika Nehra, Rajesh Kumar, Neeraj Dilbaghi, TonyY Hu, Sandeep Kumar, Ajeet Kaushik, Chen-Zhong Li

Open access · greenAbstract readReview
In one paragraph

Review in Biosensors & bioelectronics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 95 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
95citing papers in PubMed, 1 pooled it
17.7field-weighted citation impact, top 1% 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

95 citing papers in PubMed, 1 synthesis or guideline pooled it, 344 citations in OpenAlex.

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  20. Biosensors for the detection of flaviviruses: A review.Synthetic and systems biotechnology · 2025
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35 more citing papers are in PubMed but not listed here.

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

8 authors at 4 institutions in 2 countries.

Shikha JainDepartment of Bio and Nano Technology, Guru Jambheshwar University of Science and Technology, Hisar, Haryana, 125001, India.
Monika NehraDepartment of Bio and Nano Technology, Guru Jambheshwar University of Science and Technology, Hisar, Haryana, 125001, India; Department of Mechanical Engineering, UIET, Panjab University, Chandigarh, 160014, India.
Rajesh KumarDepartment of Mechanical Engineering, UIET, Panjab University, Chandigarh, 160014, India.
Neeraj DilbaghiDepartment of Bio and Nano Technology, Guru Jambheshwar University of Science and Technology, Hisar, Haryana, 125001, India.
TonyY HuDepartment of Biochemistry and Molecular Biology, Tulane University School of Medicine, New Orleans, LA, 70112, USA.
Sandeep KumarDepartment of Bio and Nano Technology, Guru Jambheshwar University of Science and Technology, Hisar, Haryana, 125001, India. Electronic address: ksandeep36@yahoo.com.
Ajeet KaushikNanoBioTech Laboratory, Health Systems Engineering, Department of Natural Sciences, Florida Polytechnic University, Lakeland, FL, 33805-8531, United States. Electronic address: akaushik@floridapoly.edu.
Chen-Zhong LiDepartment of Biochemistry and Molecular Biology, Tulane University School of Medicine, New Orleans, LA, 70112, USA; Department of Biomedical Engineering, Florida International University, Miami, FL, 33174, USA. Electronic address: chenzhongbiosensor@gmail.com.
Guru Jambheshwar University of Science and Technology · INTulane University · USFlorida Polytechnic University · USPanjab University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

On global scale, the current situation of pandemic is symptomatic of increased incidences of contagious diseases caused by pathogens. The faster spread of these diseases, in a moderately short timeframe, is threatening the overall population wellbeing and conceivably the economy. The inadequacy of conventional diagnostic tools in terms of time consuming and complex laboratory-based diagnosis process is a major challenge to medical care. In present era, the development of point-of-care testing (POCT) is in demand for fast detection of infectious diseases along with "on-site" results that are helpful in timely and early action for better treatment. In addition, POCT devices also play a crucial role in preventing the transmission of infectious diseases by offering real-time testing and lab quality microbial diagnosis within minutes. Timely diagnosis and further treatment optimization facilitate the containment of outbreaks of infectious diseases. Presently, efforts are being made to support such POCT by the technological development in the field of internet of medical things (IoMT). The IoMT offers wireless-based operation and connectivity of POCT devices with health expert and medical centre. In this review, the recently developed POC diagnostics integrated or future possibilities of integration with IoMT are discussed with focus on emerging and re-emerging infectious diseases like malaria, dengue fever, influenza A (H1N1), human papilloma virus (HPV), Ebola virus disease (EVD), Zika virus (ZIKV), and coronavirus (COVID-19). The IoMT-assisted POCT systems are capable enough to fill the gap between bioinformatics generation, big rapid analytics, and clinical validation. An optimized IoMT-assisted POCT will be useful in understanding the diseases progression, treatment decision, and evaluation of efficacy of prescribed therapy.

Indexed as

Internet of ThingsPoint-of-Care TestingAnimalsArtificial IntelligenceBiosensing TechniquesCommunicable DiseasesCoronavirus InfectionsCOVID-19DengueEquipment DesignHemorrhagic Fever, EbolaHIV InfectionsHumansInfluenza, HumanMalariaOrthomyxoviridae InfectionsArtificial intelligenceBiosensorInfectious diseasesIntelligent healthcareInternet of medical thingsPoint-of-care-testing

Identifiers

PMID33596516
PMCPMC7866895
OpenAlexW3126693085

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.