Evidence map›Paper›PMID 39547844›Full record

ArticleInternational dental journal2025

Examining the Impact of Natural Teeth Trajectory on Mortality Among CLHLS.

Jukun Song, Yadong Wu, Zhenglong Tang

Abstract read
In one paragraph

Article in International dental journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Jukun SongDepartment of Oral and Maxillofacial Surgery, The Affiliated Stomatological Hospital of Guizhou Medical University, Guiyang, China.
Yadong WuDepartment of Oral and Maxillofacial Surgery, The Affiliated Stomatological Hospital of Guizhou Medical University, Guiyang, China.
Zhenglong TangDepartment of Oral and Maxillofacial Surgery, The Affiliated Stomatological Hospital of Guizhou Medical University, Guiyang, China. Electronic address: zhenglongtang@gmc.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo investigate the associations between trajectories of the number of natural teeth and all-cause mortality among Chinese middle-aged and older adults.

methodsData for this study were sourced from the 2002, 2005, 2008, 2011, 2014, and 2018 waves of the Chinese Longitudinal Healthy Longevity Survey (CLHLS). The number of natural teeth was assessed through self-reports. Population-based trajectory models were utilised to explore potential heterogeneity in longitudinal changes over 16 years and to examine the associations between baseline predictors and different trajectories among cohort members. Additionally, the Cox proportional hazards model was employed to assess the risk factors associated with these trajectories.

resultsThree distinct trajectories in the number of natural teeth were identified: fewer teeth (33.34%), a moderate number of teeth (47.58%), and most teeth retained (19.08%). Several factors were found to influence changes in these trajectories: older age, male gender, poor self-reported health status, impaired vision, a higher number of chronic diseases, diminished cognitive function, and reduced frequency of social activities. Compared to the group with fewer teeth, those with moderate and most teeth demonstrated a better prognosis.

conclusionThe number of natural teeth is associated with mortality, and retaining more natural teeth may play a significant role in promoting healthy aging.

Indexed as

LongevityTooth LossAgedAged, 80 and overAge FactorsChinaFemaleHealth StatusHumansLongitudinal StudiesMaleMiddle AgedProportional Hazards ModelsRisk FactorsSelf ReportSex FactorsChinese older peopleCohortCommunity-basedMortalityNatural teeth

Identifiers

PMID39547844
PMCPMC11976614

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LicenceCC BY-NC-ND
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Registered trials

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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.