Evidence map›Paper›PMID 40114150›Full record

ArticleNutrition journal2025

Association of the use of nonfood prebiotics, probiotics, and synbiotics with total and cause-specific mortality: a prospective cohort study.

Luyan Zheng, Jiaqi Zhang, Jing Yang, Yanbo Wang, Yina Zhang, Kailu Fang, Jie Wu, Min Zheng

Abstract read
In one paragraph

Article in Nutrition journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. 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

8 authors.

Luyan ZhengState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, National Clinical Research Center for Infectious Diseases, Zhejiang University, #79 Qingchun Road, 310003, Hangzhou, Zhejiang Province, China.
Jiaqi ZhangThe Second School of Medicine, Wenzhou Medical University, Wenzhou, Zhejiang, China.
Jing YangState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, National Clinical Research Center for Infectious Diseases, Zhejiang University, #79 Qingchun Road, 310003, Hangzhou, Zhejiang Province, China.
Yanbo WangState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, National Clinical Research Center for Infectious Diseases, Zhejiang University, #79 Qingchun Road, 310003, Hangzhou, Zhejiang Province, China.
Yina ZhangState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, National Clinical Research Center for Infectious Diseases, Zhejiang University, #79 Qingchun Road, 310003, Hangzhou, Zhejiang Province, China.
Kailu FangState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, National Clinical Research Center for Infectious Diseases, Zhejiang University, #79 Qingchun Road, 310003, Hangzhou, Zhejiang Province, China.
Jie Wu *State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, National Clinical Research Center for Infectious Diseases, Zhejiang University, #79 Qingchun Road, 310003, Hangzhou, Zhejiang Province, China. zjwujie@zju.edu.cn.
Min Zheng *State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, National Clinical Research Center for Infectious Diseases, Zhejiang University, #79 Qingchun Road, 310003, Hangzhou, Zhejiang Province, China. minzheng@zju.edu.cn.

Funding

Fundamental Research Funds for the Central Universities K20210205, 2022ZFJH003Mega-Project of National Science and Technology for the 13th Five-Year Plan of China 2018ZX10721102-003-006, 2018ZX10715013-003-003National Natural Science Foundation of China 71904170Technological Innovation Leading Talents of "Ten Thousand Talents Plan" of Zhejiang Province 2020R52010Zhejiang University K. P. Chao's High Technology Development Foundation 2022RC017
6 · The paper itself

Abstract

backgroundThe use of nonfood prebiotics, probiotics, and synbiotics has approximately tripled in the last 20 years. It is necessary to examine the associations of these substances with all-cause and cause-specific mortality in a large prospective cohort.

methodsThis study included 53,333 adults from the National Health and Nutrition Examination Survey 1999-2018. All participants answered questions on the use of dietary supplements and medications, including prebiotics, probiotics, and synbiotics. Death outcomes were determined by linkage to National Death Index records through 31 December 2019. Cox proportional hazards models were used to estimate hazard ratios (HR) and 95% confidence intervals (CI) for mortality from all causes, heart diseases, cancer, and other causes.

resultsDuring a mean follow-up of 10.6 years, 9117 deaths were documented, including 2364 heart disease deaths, 1964 cancer deaths, and 4700 other causes deaths. Compared to nonusers, nonfood prebiotic, probiotic, and synbiotic users had a 59% (HR 0.41, 95% CI 0.30 to 0.56), 56% (HR 0.44, 95% CI 0.26 to 0.74), 49% (HR 0.51, 95% CI 0.31 to 0.83), and 64% (HR 0.36, 95% CI 0.23 to 0.59) for lower risk of all-cause, cancer, heart disease, and other causes mortality, respectively. Moreover, the inverse association of the use of prebiotics, probiotics, and synbiotics with mortality was stronger in female participants and participants without hypertension.

conclusionThe use of nonfood prebiotics, probiotics, and synbiotics is significantly associated with lower all-cause mortality, as well as deaths from heart disease, cancer, and other causes.

Indexed as

MortalityPrebioticsProbioticsSynbioticsAdultAgedCause of DeathFemaleHeart DiseasesHumansMaleMiddle AgedNeoplasmsNutrition SurveysProportional Hazards ModelsProspective StudiesPrebioticsMortalityNonfoodPrebioticsProbioticsSynbiotics

Identifiers

PMID40114150
PMCPMC11924732

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.