Evidence map›Paper›PMID 34766037›Full record

ReviewSensors international2020

Current status of point-of-care diagnostic devices in the Indian healthcare system with an update on COVID-19 pandemic.

Aditya Narayan Konwar, Vivek Borse

Abstract readReview
In one paragraph

Review in Sensors international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

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

  1. Pooled it
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  16. Giant Magnetoresistance Biosensors in Biomedical Applications.ACS applied materials & interfaces · 2022
    Review
  17. Article
  18. Review
  19. IEEE access : practical innovations, open solutions · 2022
    Article
  20. Application of Molecular Vapour Deposited AlNanomaterials (Basel, Switzerland) · 2021
    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

2 authors.

Aditya Narayan KonwarNanoBioSens Lab, Centre for Nanotechnology, Indian Institute of Technology Guwahati, Guwahati, 781 039, Assam, India.
Vivek BorseNanoBioSens Lab, Centre for Nanotechnology, Indian Institute of Technology Guwahati, Guwahati, 781 039, Assam, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Point-of-care (POC) diagnostic device is an instrument that is used to acquire particular clinical information of patients in clinical as well as resource-limited settings. The conventional clinical diagnostic procedure requires high-end and costly instruments, an expert technician for operation and result interpretation, longer time, etc. that ultimately makes it exhausting and expensive. Although there are a lot of improvements in the medical facilities in the Indian healthcare system, the use of POC diagnostic devices is still in its nascent phase. This review illustrates the status of POC diagnostic devices currently used in clinical setups along with constraints in their use. The devices and technologies that are in the research and development phase across the country that has tremendous potential to elevate the clinical diagnostics scenario along with the diagnosis of ongoing COVID-19 pandemic are emphasized. The implications of using POC diagnostic devices and the future objectives for technological advancements that may eventually uplift the status of healthcare and related sectors in India are also discussed here.

Indexed as

Clinical diagnosticsCOVID-19 pandemicIndian healthcare systemPOC testPoint-of-care diagnostic devicesResource-limited settings

Identifiers

PMID34766037
PMCPMC7280827

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.