Evidence map›Paper›PMID 36013069›Full record

ArticleJournal of clinical medicine2022

Raman Spectral Characterization of Urine for Rapid Diagnosis of Acute Kidney Injury.

Ming-Jer Jeng, Mukta Sharma, Cheng-Chia Lee, Yu-Sheng Lu, Chia-Lung Tsai, Chih-Hsiang Chang, Shao-Wei Chen, Ray-Ming Lin, Liann-Be Chang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical medicine, 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
2.1field-weighted citation impact, top 12% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
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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

9 authors at 3 institutions in 1 country.

Ming-Jer JengDepartment of Electronic Engineering, Chang Gung University, Taoyuan 333, Taiwan.ORCID 0000-0001-6130-1980
Mukta SharmaDepartment of Electronic Engineering, Chang Gung University, Taoyuan 333, Taiwan.
Cheng-Chia LeeKidney Research Center, Department of Nephrology, Change Gung Memorial Hospital, Linkou Branch, Taoyuan 244, Taiwan.ORCID 0000-0002-6973-5908
Yu-Sheng LuDepartment of Electronic Engineering, Chang Gung University, Taoyuan 333, Taiwan.
Chia-Lung TsaiDepartment of Electronic Engineering, Chang Gung University, Taoyuan 333, Taiwan.
Chih-Hsiang ChangKidney Research Center, Department of Nephrology, Change Gung Memorial Hospital, Linkou Branch, Taoyuan 244, Taiwan.ORCID 0000-0002-7342-335X
Shao-Wei ChenDepartment of Cardiothoracic and Vascular Surgery, Chang Gung Memorial Hospital, Linkou Branch, Taoyuan 244, Taiwan.
Ray-Ming LinDepartment of Electronic Engineering, Chang Gung University, Taoyuan 333, Taiwan.
Liann-Be ChangDepartment of Electronic Engineering, Chang Gung University, Taoyuan 333, Taiwan.ORCID 0000-0003-2174-2022
Chang Gung Memorial Hospital · TWChang Gung University · TWChang Gung University of Science and Technology · TW

Funding

Chang Gung Memorial Hospital CMRPB53Chang Gung Memorial Hospital CMRPD2K0201Chang Gung Memorial Hospital CMRPD2K0202Chang Gung Memorial Hospital CMRPG3J0593Chang Gung Memorial Hospital CMRPG3L0861Ministry of Science and Technology 106-2314-B-182-025-MY3Ministry of Science and Technology 110-2622-E-182-007
6 · The paper itself

Abstract

Acute kidney injury (AKI) is a common syndrome characterized by various etiologies and pathophysiologic processes that deteriorate kidney function. The aim of this study is to identify potential biomarkers in the urine of non-acute kidney injury (non-AKI) and AKI patients through Raman spectroscopy (RS) to predict the advancement in complications and kidney failure. Selected spectral regions containing prominent peaks of renal biomarkers were subjected to partial least squares linear discriminant analysis (PLS-LDA). This discriminant analysis classified the AKI patients from non-AKI subjects with a sensitivity and specificity of 97% and 100%, respectively. In this study, the RS measurements of urine specimens demonstrated that AKI had significantly higher nitrogenous compounds, porphyrin, tryptophan and neopterin when compared with non-AKI. This study's specific spectral information can be used to design an in vivo RS approach for the detection of AKI diseases.

Indexed as

acute kidney injurylinear discriminant analysispartial least squaresRaman spectroscopyurine

Identifiers

PMID36013069
PMCPMC9410447
OpenAlexW4292247258

What OpenQuestion holds

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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.