Evidence map›Paper›PMID 42566590›Full record

ReviewMedicine2026

Tea and cognitive health in aging: Current evidence and future directions.

Kaifan Zhang, Changjiang Li, Senlin Wang, Kaisy Xinhong Ye, Lirong Yu, Irwin Kee-Mun Cheah, Yin Xia Chao, Lina Sun

Abstract readReview
In one paragraph

Review in Medicine, 2026. 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

8 authors.

Kaifan ZhangSchool of Anesthesiology, Shandong Second Medical University, Weifang, Shandong, China.ORCID 0009-0000-4530-1518
Changjiang LiSchool of Psychology, Shandong Second Medical University, Weifang, Shandong, China.
Senlin WangDepartment of Neurosurgery, Weifang No. 2 People's Hospital, Weifang, Shandong, China.
Kaisy Xinhong YeYong Loo Lin School of Medicine, National University of Singapore, NUHS Tower Block, Singapore, Singapore.
Lirong YuSchool of Nursing, Shandong Second Medical University, Weifang, Shandong, China.
Irwin Kee-Mun CheahLife Science Institute, National University of Singapore, Singapore, Singapore.
Yin Xia ChaoDepartment of Neurology, National Neuroscience Institute, Singapore, Singapore.
Lina SunSchool of Anesthesiology, Shandong Second Medical University, Weifang, Shandong, China.ORCID 0000-0003-3772-227

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The health benefits of tea drinking have been extensively studied, and in the past 20 years, there has been increasing interest in the role of tea drinking in promoting cognitive health among older adults. This review aims to analyze existing evidence on the benefits of tea drinking to promote cognitive health from both observational and interventional studies. Using a narrative approach and in-depth discussion, the major studies on tea and cognitive health were identified and summarized. Gaps in knowledge and future directions are discussed. Solid evidence from prospective cohort studies demonstrates that tea drinking slows cognitive decline, lowers the risk of cognitive impairment, and improves cognitive function. Current evidence from randomized controlled trials is inadequate for a definitive conclusion. Tea is associated with better cognition in aging. Further clinical trials should be conducted to validate the claim that tea drinking can promote cognitive health in aging.

Indexed as

AgingCognitionCognitive DysfunctionTeaCognitive EnhancementHumansRandomized Controlled Trials as TopicTeaagingcognitive healthcohort studyrandomized controlled trialtea

Identifiers

PMID42566590
PMCPMC13456770

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.