Evidence map›Paper›PMID 32655739›Full record

ArticleJournal of clinical medicine research2020

Diagnostic Accuracy of Single Spot Urine for Detecting Renal Uric Acid Underexcretion in Men.

Naoki Sakane, Ayana Okuno, Kouji Nomaguchi, Miyuki Tanaka, Fumiaki Abe, Izumi Kakiuchi, Kyoko Kiyosawa, Mitsunaga Miyasaka, Masahiko Nakamura

Open access · diamondAbstract read
In one paragraph

Article in Journal of clinical medicine research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 89% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

9 authors at 4 institutions in 2 countries.

Naoki SakaneDivision of Preventive Medicine, Clinical Research Institute, National Hospital Organization Kyoto Medical Center, Kyoto, Japan.
Ayana OkunoFood Ingredients & Technology Institute, R&D Division, Moringa Milk Insustry Co., Ltd. Kanagawa, Japan.
Kouji NomaguchiFood Ingredients & Technology Institute, R&D Division, Moringa Milk Insustry Co., Ltd. Kanagawa, Japan.
Miyuki TanakaFood Ingredients & Technology Institute, R&D Division, Moringa Milk Insustry Co., Ltd. Kanagawa, Japan.
Fumiaki AbeFood Ingredients & Technology Institute, R&D Division, Moringa Milk Insustry Co., Ltd. Kanagawa, Japan.
Izumi KakiuchiDepartment of Nursing, Matsumoto Junior College, Matsumoto, Nagano, Japan.
Kyoko KiyosawaDepartment of Nursing, Matsumoto Junior College, Matsumoto, Nagano, Japan.
Mitsunaga MiyasakaDepartment of Nursing, Matsumoto Junior College, Matsumoto, Nagano, Japan.
Masahiko NakamuraMatsumoto City Hospital, Matsumoto, Nagano, Japan.
Food Research and Development Institute · BGMatsumoto Junior College · JPKyoto Medical Center · JPMatsumoto City Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe uric acid (UA) clearance test to evaluate the hyperuricemia phenotype requires a great deal of time. However, the utility of single spot urine is scarce. The study aimed to determine the diagnostic accuracy of single spot urine for predicting renal UA underexcretion (the decreased UA excretion) in men.

methodsA total of 73 male participants aged 20 - 74 years with a UA level of 6.0 - 7.9 mg/dL were enrolled in the study. Renal UA underexcretion was defined as < 7.3 mL/min using the 60-min method. Urinary UA to creatinine ratio (UACR), fractional clearance of urate (FCU), and the Simkin index were calculated. A receiver operating characteristic (ROC) analysis was performed to compare the diagnostic utility of these parameters for predicting UA underexcretion.

resultsIn the ROC analysis, the area under the curve values of the UACR, FCU, and the Simkin index for predicting UA underexcretion were 0.903 (95% confidence interval (CI): 0.830 - 0.976), 0.841 (95% CI: 0.749 - 0.933), and 0.779 (95% CI: 0.673 - 0.885), respectively. An optimal UACR cutoff of 0.460 (sensitivity 89.2%, specificity 80.6%, overall diagnostic accuracy 84.9%, positive predictive value 82.5%, and negative predictive value 87.9%) was identified.

conclusionsThese results suggest that the UACR is a simple and efficient test with high sensitivity and specificity levels for predicting renal UA underexcretion in men.

Indexed as

Diagnostic accuracyFractional clearance of urateSimkin indexUric acid to creatinine ratio

Identifiers

PMID32655739
PMCPMC7331867
OpenAlexW3037225516

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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.