Evidence map›Paper›PMID 36452317›Full record

ArticleFrontiers in endocrinology2022

Synergistic impact of diabetes and cognitive impairment on all-cause and cause-specific mortality in Chinese older adults: A prospective population-based cohort study.

Zhiqiang Li, Shengshu Wang, Shaohua Liu, Xinran Gong, Yanding Wang, Di Wu, Meitao Yang, Rongrong Li, Haowei Li, Xuehang Li and 7 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.6field-weighted citation impact, top 17% of its field
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

9 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
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  5. Cerebral small vessel disease: The impact of glymphopathy and sleep disorders.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2025
    Review
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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

17 authors at 3 institutions in 1 country.

Zhiqiang LiSchool of Public Health, China Medical University, Shenyang, China.
Shengshu WangBeijing Key Laboratory of Aging and Geriatrics, Institute of Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Beijing, China.
Shaohua LiuBeijing Key Laboratory of Aging and Geriatrics, Institute of Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Beijing, China.
Xinran GongSchool of Public Health, China Medical University, Shenyang, China.
Yanding WangSchool of Public Health, China Medical University, Shenyang, China.
Di WuSchool of Public Health, China Medical University, Shenyang, China.
Meitao YangSchool of Public Health, China Medical University, Shenyang, China.
Rongrong LiBeijing Key Laboratory of Aging and Geriatrics, Institute of Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Beijing, China.
Haowei LiBeijing Key Laboratory of Aging and Geriatrics, Institute of Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Beijing, China.
Xuehang LiBeijing Key Laboratory of Aging and Geriatrics, Institute of Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Beijing, China.
Shimin ChenBeijing Key Laboratory of Aging and Geriatrics, Institute of Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Beijing, China.
Ruizhong JiaCenter for Disease Control and Prevention of Chinese People's Liberation Army, Beijing, China.
Jinpeng GuoCenter for Disease Control and Prevention of Chinese People's Liberation Army, Beijing, China.
Jianhua WangBeijing Key Laboratory of Aging and Geriatrics, Institute of Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Beijing, China.
Miao LiuDepartment of Epidemiology and Statistics, Graduate School of Chinese People's Liberation Army (PLA) General Hospital, Beijing, China.
Yao HeBeijing Key Laboratory of Aging and Geriatrics, Institute of Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Beijing, China.
Yong WangSchool of Public Health, China Medical University, Shenyang, China.
Chinese Center For Disease Control and Prevention · CNChinese PLA General Hospital · CNCentral Military Commission · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Diabetes mellitus (DM) or cognitive impairment (CI) is known to be strongly associated with mortality. DM commonly coexists with CI and proportionally increases with age. However, little is known about the combined effect of cognitive function and diabetes on mortality. This study aimed to evaluate the combined effects of DM and CI on all-cause and cause-specific mortality in Chinese older adults. Methods: This prospective population-based cohort study was based on the Beijing Elderly Comprehensive Health Cohort Study. A total of 4,499 older adults were included. Cox's proportional hazard models were utilized to calculate the effect of DM and CI on all-cause, cardiovascular disease (CVD) mortality and cancer mortality, and a multiplicative term was introduced to study a potential interaction between DM and CI on outcomes. Results: During a median follow-up of 6.8 years (ranging from 6.6 to 11.7 years), 667 (14.8%) participants died from all causes, 292 from CVD, and 215 from cancer. In the fully adjusted model, participants with coexisting DM and CI had the highest risk of all-cause mortality [hazard ratios (HRs), 3.08; 95% confidence intervals (CIs), 2.30,4.11] and CVD mortality (HRs, 3.85; 95% CIs, 2.60,5.71) compared with individuals with normal cognition and non-DM. We also found a multiplicative interaction between DM and CI in respect to all-cause (HRs, 2.46; 95% CI, 1.87,3.22) and CVD mortality (HRs, 3.15 95% CI, 2.19,4.55). In the diabetic population, CI was associated with an increased risk of all-cause mortality (HRs, 2.09; 95% CIs, 1.51,2.89) and CVD mortality (HRs, 3.16; 95% CIs, 2.02,5.05) compared with the normal cognition group. Restricted cubic spline revealed a linear inverse association between Mini-Mental State Examination (MMSE) score and all-cause, CVD mortality in the total sample and participants without diabetes. However, a nearly reverse J association was observed between MMSE and mortality from all causes and CVD in the diabetes group. Conclusion: The findings highlighted that cognitive impairment concomitant with diabetes further increases the risk of mortality. In addition to strengthening routine screening of cognitive functioning in older adults with early-stage diabetes, more extensive assessment of prognostic risks has high clinical value for developing comprehensive treatment plans.

Indexed as

Cardiovascular DiseasesCognitive DysfunctionDiabetes MellitusAgedCause of DeathChinaCohort StudiesHumansProspective Studiescause-specific mortalityChinesecognitive impairmentdiabetes mellitusold adults

Identifiers

PMID36452317
PMCPMC9702801
OpenAlexW4309039745

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.