Evidence map›Paper›PMID 39806767›Full record

ArticleRenal failure2025

Association of tea consumption with all-cause/cardiovascular disease mortality in the chronic kidney disease population: an assessment of participation in the national cohort.

Jin Li, Xing-Ling Chen, Xiao-Lu Ou-Yang, Xiao-Jiao Zhang, Yue Li, Shu-Ning Sun, Ling-Jun Wang, Zhong-Qi Yang, Shi-Hao Ni, Lu Lu

Abstract read
In one paragraph

Article in Renal failure, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

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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

10 authors.

Jin LiState Key Laboratory of Traditional Chinese Medicine Syndrome, The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, China.
Xing-Ling ChenState Key Laboratory of Traditional Chinese Medicine Syndrome, The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, China.
Xiao-Lu Ou-YangState Key Laboratory of Traditional Chinese Medicine Syndrome, The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, China.
Xiao-Jiao ZhangState Key Laboratory of Traditional Chinese Medicine Syndrome, The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, China.
Yue LiState Key Laboratory of Traditional Chinese Medicine Syndrome, The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, China.
Shu-Ning SunState Key Laboratory of Traditional Chinese Medicine Syndrome, The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, China.
Ling-Jun WangState Key Laboratory of Traditional Chinese Medicine Syndrome, The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, China.
Zhong-Qi YangState Key Laboratory of Traditional Chinese Medicine Syndrome, The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, China.
Shi-Hao NiState Key Laboratory of Traditional Chinese Medicine Syndrome, The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, China.
Lu LuState Key Laboratory of Traditional Chinese Medicine Syndrome, The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile there are numerous benefits to tea consumption, its long-term impact on patients with chronic kidney disease (CKD) remains unclear.

methodOur analysis included 17,575 individuals with CKD from an initial 45,019 participants in the National Health and Nutrition Examination Survey (NHANES) (1999-2018). Individuals with extreme dietary habits, pregnancy, or non-CKD conditions were excluded. Key cohort demographics revealed a mean age of 62.3 years, with 52.1% female participants, and 57.3% identified as non-Hispanic White. A total of 5,835 deaths were recorded during follow-up, including 1,823 cardiovascular-related deaths. Cox and restricted cubic spline regression was used to examine the linear or nonlinear association of tea consumption with mortality. The substitution analysis explored the effects of replacing a specific type of tea with another type of tea. Subgroup analysis stratified by sex, age, body mass index (BMI), diabetes, cancer, cardiovascular disease (CVD), and urinary albumin. Sensitivity analysis was performed to ensure the reliability of our findings.

resultsAfter adjusting for age, sex, race, education level, marital, annual household income, energy intake, total water intake, protein intake, carbohydrate intake, dietary fiber, sugar beverages, milk whole, total monounsaturated fatty acids, total polyunsaturated fatty acids, total saturated fatty acids, smoking, metabolic equivalent of task for physical activity level (MET-PA), BMI, diabetes, hypertension, urinary albumin, estimated glomerular filtration rate (eGFR), CVD, cancer, serum sodium, serum potassium, and serum phosphorus, setting the individuals without tea consumption record as reference. Consuming up to 4 cups of tea per day was significantly associated with lower all-cause mortality compared with that never drinking tea, among CKD patients at 1-2 stages [Hazard Ratio (HR) = 0.89; 95% Confidence Interval (CI) = 0.79, 0.99;

conclusionTea consumption showed protective effects on all-cause mortality in CKD population, with potential benefits observed in terms of both the cups quantity and types of tea consumed. These findings appeared to be more prominent among early stages CKD population.

Indexed as

Cardiovascular DiseasesRenal Insufficiency, ChronicTeaAgedCause of DeathCohort StudiesFemaleHumansMaleMiddle AgedNutrition SurveysRisk FactorsUnited StatesTeaall-cause mortalitycardiovascular mortalitychronic kidney diseaseTea intake

Identifiers

PMID39806767
PMCPMC11734394

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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.