Evidence map›Paper›PMID 38873559›Full record

ArticleFrontiers in nutrition2024

Linking artificial sweetener intake with kidney function: insights from NHANES 2003-2006 and findings from Mendelian randomization research.

Zhuoling Ran, Yuxuan Zheng, Lin Yu, Yuxian Zhang, Zhenjiang Zhang, Huijie Li, Xuhan Li, Jing Song, Li Zhang, Ran Zhang and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

13 authors.

Zhuoling RanResearch Group of Jian Gong on Pharmacoepidemiology and Clinical Drug Evaluation, School of Life Science and Biopharmaceutics, Shenyang Pharmaceutical University, Shenyang, China.
Yuxuan ZhengResearch Group of Jian Gong on Pharmacoepidemiology and Clinical Drug Evaluation, School of Life Science and Biopharmaceutics, Shenyang Pharmaceutical University, Shenyang, China.
Lin YuResearch Group of Jian Gong on Pharmacoepidemiology and Clinical Drug Evaluation, School of Life Science and Biopharmaceutics, Shenyang Pharmaceutical University, Shenyang, China.
Yuxian ZhangResearch Group of Jian Gong on Pharmacoepidemiology and Clinical Drug Evaluation, School of Life Science and Biopharmaceutics, Shenyang Pharmaceutical University, Shenyang, China.
Zhenjiang ZhangResearch Group of Jian Gong on Pharmacoepidemiology and Clinical Drug Evaluation, School of Life Science and Biopharmaceutics, Shenyang Pharmaceutical University, Shenyang, China.
Huijie LiResearch Group of Jian Gong on Pharmacoepidemiology and Clinical Drug Evaluation, School of Life Science and Biopharmaceutics, Shenyang Pharmaceutical University, Shenyang, China.
Xuhan LiResearch Group of Jian Gong on Pharmacoepidemiology and Clinical Drug Evaluation, School of Life Science and Biopharmaceutics, Shenyang Pharmaceutical University, Shenyang, China.
Jing SongResearch Group of Jian Gong on Pharmacoepidemiology and Clinical Drug Evaluation, School of Life Science and Biopharmaceutics, Shenyang Pharmaceutical University, Shenyang, China.
Li ZhangResearch Group of Jian Gong on Pharmacoepidemiology and Clinical Drug Evaluation, School of Life Science and Biopharmaceutics, Shenyang Pharmaceutical University, Shenyang, China.
Ran ZhangResearch Group of Jian Gong on Pharmacoepidemiology and Clinical Drug Evaluation, School of Life Science and Biopharmaceutics, Shenyang Pharmaceutical University, Shenyang, China.
Chang LuResearch Group of Jian Gong on Pharmacoepidemiology and Clinical Drug Evaluation, School of Life Science and Biopharmaceutics, Shenyang Pharmaceutical University, Shenyang, China.
Yang GongMcWilliams School of Biomedical Informatics, University of Texas Health Science Center, Houston, TX, United States.
Jian GongResearch Group of Jian Gong on Pharmacoepidemiology and Clinical Drug Evaluation, School of Life Science and Biopharmaceutics, Shenyang Pharmaceutical University, Shenyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The current investigation examines the association between artificial sweetener (AS) consumption and the likelihood of developing chronic kidney disease (CKD), along with its impact on kidney function. Methods: We utilized data from the National Health and Nutrition Examination Survey from 2003-2006 to conduct covariance analysis and weighted adjusted logistic regression, aiming to assess the association between artificial sweetener intake and CKD risk, as well as kidney function indicators. Subsequently, we employed Mendelian randomization methods to validate the causal relationship between the intake of artificial sweeteners, CKD risk, and kidney function indicators. Instrumental variable analysis using inverse-variance weighting and Robust adjusted profile score were the primary analytical methods employed. Results: A total of 20,470 participants were included in the study, with 1,257 participants ultimately included in the analysis. In all adjusted logistic regression models, no significant association was found between the intake of artificial sweeteners and CKD risk. Similarly, the summary odds ratios (OR) for each unit change in genetically predicted CKD risk were 2.14 (95% CI: 0.83, 5.21, Conclusion: Our study does not support a causal relationship between artificial sweetener intake and the risk of CKD. However, due to the limitations and potential confounding factors, these findings need to be further validated through larger sample sizes in observational studies and Mendelian randomization analyses.

Indexed as

artificial sweetenerschronic kidney diseasekidney functionMendelian randomizationNational Health and Nutrition Examination Survey

Identifiers

PMID38873559
PMCPMC11169671

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