Evidence map›Paper›PMID 34196446›Full record

ArticleJournal of clinical hypertension (Greenwich, Conn.)2021

Assessment and validation of three spot urine assay methods for the estimation of 24-hour urinary sodium excretion in Chinese Tibetan adults living in the mountains.

Xin Zhang, Hang Liao, Runyu Ye, Xinran Li, Qiling Gou, Zhipeng Zhang, Rufeng Shi, Qingtao Meng, Zewong Zhuoma, Hengyu Zhang and 1 more

Abstract read
In one paragraph

Article in Journal of clinical hypertension (Greenwich, Conn.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

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

  1. Pooled it
  2. Practical prediction of 24-hour urinary sodium excretion in young people: a new formula derived from Tanaka and INTERSALT formulas.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
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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

11 authors.

Xin ZhangDepartment of Cardiology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, People's Republic of China.
Hang LiaoDepartment of Cardiology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, People's Republic of China.
Runyu YeDepartment of Cardiology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, People's Republic of China.
Xinran LiDepartment of Cardiology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, People's Republic of China.
Qiling GouDepartment of Cardiology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, People's Republic of China.
Zhipeng ZhangDepartment of Cardiology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, People's Republic of China.
Rufeng ShiDepartment of Cardiology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, People's Republic of China.
Qingtao MengDepartment of Cardiology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, People's Republic of China.
Zewong ZhuomaLuohuo County Health Bureau, Ganzi Tibetan Autonomous Prefecture, Luhuo, Sichuan Province, People's Republic of China.
Hengyu ZhangDepartment of Cardiology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, People's Republic of China.
Xiaoping ChenDepartment of Cardiology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Twenty-four-hour urine collection is the gold standard method for the evaluation of salt intake, but it is often impractical in large-scale investigations, especially in resource-poor areas. Methods for the estimation of 24-hour urinary sodium excretion (USE) using a spot urine sample have been established, but have not been validated in Chinese Tibetans. Therefore, the authors aimed to evaluate the Kawasaki, Tanaka, and the International Cooperative Study on Salt, Other Factors, and Blood Pressure (INTERSALT) formulas for the prediction of 24-hour USE in Chinese Tibetan adults. The authors analyzed the bias, correlation, agreements between estimated values and measured values, and the relative and absolute differences and misclassification at the individual level for the three methods in 323 Tibetan participants from the Ganzi Tibetan Autonomous Prefecture of Sichuan Province, China. The mean biases between the measured values and the estimated 24-hour USE using the Kawasaki, Tanaka, and INTERSALT methods were 5.4 mmol/day (95% confidence interval [CI]: 0.8-10.1 mmol/day), -40.8 mmol/day (95% CI: -44.6 to -36.9 mmol/day), and -57.1 mmol/day (95% CI: -61.9 to -52.4 mmol/day), respectively. The Pearson correlation coefficients for the relationships between the measured values and the estimated 24-hour USE were 0.43 (Kawasaki), 0.38 (Tanaka), and 0.27 (INTERSALT), respectively (all p < .01). The intraclass correlation coefficients showed similar patterns to the correlation data: 0.47 for Kawasaki, 0.40 for Tanaka, and 0.27 for INTERSALT (all p < .01). The upper and lower limits of agreement between the measured values and the estimated 24-hour USE were -92.6 and 81.8 mmol/day for the Kawasaki method, -28.5 and 110.0 mmol/day for the Tanaka method, and -28.4 and 142.7 mmol/day for the INTERSALT method. Compared with the other two methods, the percentage of individuals that were misclassified by using the Kawasaki method was 48.2%, while those for the Tanaka and INTERSAL methods was 72.1% and 75.5%, respectively. However, when an individual's salt intake was higher than 12.8 g/day, the misclassification rates of the Kawasaki, Tanaka, and INTERSALT methods were 20%, 90%, and 97.5%, respectively. Thus, the authors found that the Kawasaki equation may have performed better than the other equations at Chinese Tibetan population level assessment, but none of these equations are suitable for use or perform well at the individual level. A more accurate method of using a spot urine sample to evaluate individual 24-hour USE for Tibetans is needed.

Indexed as

HypertensionSodiumAdultChinaHumansTibetUrinalysisUrine Specimen CollectionSodiumINTERSALTKawasakisaltTanakaTibetanurinary sodium excretion

Identifiers

PMID34196446
PMCPMC8678802

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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.