Evidence map›Paper›PMID 37216108›Full record

ArticleiScience2023

Estimated 24-h urinary sodium excretion and risk of end-stage kidney disease.

Ying Shan, Yong Bai, Jingwen Zhang, Yueqi Lu, Sike Yu, Congying Song, Juehan Liu, Min Jian, Junjie Xu, Changhai Ding and 2 more

Abstract read
In one paragraph

Article in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Ying ShanClinical Research Academy, Peking University Shenzhen Hospital, Peking University, Shenzhen 518036, China.
Yong BaiBGI-Shenzhen, Shenzhen 518083, China.
Jingwen ZhangRenal Division, Peking University Shenzhen Hospital, Peking University, Shenzhen 518036, China.
Yueqi LuBGI-Shenzhen, Shenzhen 518083, China.
Sike YuBGI-Shenzhen, Shenzhen 518083, China.
Congying SongClinical Research Academy, Peking University Shenzhen Hospital, Peking University, Shenzhen 518036, China.
Juehan LiuBGI-Shenzhen, Shenzhen 518083, China.
Min JianBGI-Shenzhen, Shenzhen 518083, China.
Junjie XuClinical Research Academy, Peking University Shenzhen Hospital, Peking University, Shenzhen 518036, China.
Changhai DingClinical Research Centre of Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China.
Zuying XiongRenal Division, Peking University Shenzhen Hospital, Peking University, Shenzhen 518036, China.
Xiaoyan HuangClinical Research Academy, Peking University Shenzhen Hospital, Peking University, Shenzhen 518036, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The association between sodium intake and long-term kidney disease endpoints is debated and yet to be proven. We aimed to investigate the associations of estimated 24-h urinary sodium excretion, reflecting daily sodium intake, with the incidence of end-stage kidney disease (ESKD). In this prospective cohort study including 444,375 UK Biobank participant, 865 (0.2%) ESKD events occurred after median follow-up of 12.7 years. For every 1 g increment in estimated 24-h urinary sodium excretion, multivariable-adjusted hazard ratio for incident ESKD was 1.09 (95% confidence interval 0.94-1.26). Nonlinear associations were not detected with restricted cubic splines. The null findings were confirmed by a series of sensitivity analyses, which attenuated potential bias from measurement errors of the exposure, regression dilution, reverse causality, and competing risks. In conclusion, there is insufficient evidence that estimated 24-h urinary sodium excretion is associated with the incidence of ESKD.

Indexed as

Health sciencesHuman PhysiologyNephrology

Identifiers

PMID37216108
PMCPMC10192648

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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.