Evidence map›Paper›PMID 36421138›Full record

ReviewBiosensors2022

Recent Advances in Biosensor Technologies for Point-of-Care Urinalysis.

Chuljin Hwang, Won-June Lee, Su Dong Kim, Sungjun Park, Joo Hee Kim

Open access · goldAbstract readReview
In one paragraph

Review in Biosensors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

18 citing papers in PubMed, 48 citations in OpenAlex.

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  15. Urine Test Strip Quantitative Assay with a Smartphone Camera.International journal of analytical chemistry · 2024
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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

5 authors at 2 institutions in 2 countries.

Chuljin HwangElectrical and Computer Engineering, Ajou University, Suwon 16499, Republic of Korea.ORCID 0000-0001-5646-2077
Won-June LeeDepartment of Chemistry, Purdue University, West Lafayette, IN 47907, USA.ORCID 0000-0001-8756-0956
Su Dong KimGraduate School of Clinical Pharmacy and Pharmaceutics, Ajou University, Suwon 16499, Republic of Korea.
Sungjun ParkElectrical and Computer Engineering, Ajou University, Suwon 16499, Republic of Korea.ORCID 0000-0001-9603-902X
Joo Hee KimCollege of Pharmacy, Ajou University, Suwon 16499, Republic of Korea.ORCID 0000-0003-3458-0528
Ajou University · KRPurdue University West Lafayette · US

Funding

Korea Electric Power Corporation (South Korea) R21XO01-20Ministry of Food and Drug Safety 21153MFDS431Ministry of Science and ICT IITP-2022-2020-0-01461Ministry of Trade, Industry and Energy RS-2022-00154781National Research Foundation of Korea 2020R1F1A1073564National Research Foundation of Korea 2021R1A4A1033155National Research Foundation of Korea 2021R1A6A1A10044950
6 · The paper itself

Abstract

Human urine samples are non-invasive, readily available, and contain several components that can provide useful indicators of the health status of patients. Hence, urine is a desirable and important template to aid in the diagnosis of common clinical conditions. Conventional methods such as dipstick tests, urine culture, and urine microscopy are commonly used for urinalysis. Among them, the dipstick test is undoubtedly the most popular owing to its ease of use, low cost, and quick response. Despite these advantages, the dipstick test has limitations in terms of sensitivity, selectivity, reusability, and quantitative evaluation of diseases. Various biosensor technologies give it the potential for being developed into point-of-care (POC) applications by overcoming these limitations of the dipstick test. Here, we present a review of the biosensor technologies available to identify urine-based biomarkers that are typically detected by the dipstick test and discuss the present limitations and challenges that future development for their translation into POC applications for urinalysis.

Indexed as

Biosensing TechniquesUrinalysisBiomarkersHumansMicroscopyPoint-of-Care SystemsBiomarkersbiosensorsclinical application for urinalysisdipstick testpoint-of-care urinalysisurine sensor

Identifiers

PMID36421138
PMCPMC9688579
OpenAlexW4309313501

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.