Evidence map›Paper›PMID 24504327›Full record

ArticlePloS one2014

Risk factors for cerebrovascular disease mortality among the elderly in Beijing: a competing risk analysis.

Zhe Tang, Tao Zhou, Yanxia Luo, Changchun Xie, Da Huo, Lixin Tao, Lei Pan, Fei Sun, Huiping Zhu, Xinghua Yang and 4 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
3.2field-weighted citation impact, top 9% 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 28 citations in OpenAlex.

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  4. Cerebrovascular risk factors and their time-dependent effects on stroke survival in the EMMA cohort study.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2023
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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

14 authors at 5 institutions in 4 countries.

Zhe TangBeijing Geriatric Healthcare Center, Xuan Wu Hospital, Capital Medical University, Beijing, China.
Tao ZhouSchool of Public Health, Capital Medical University, Beijing, China ; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China.
Yanxia LuoSchool of Public Health, Capital Medical University, Beijing, China ; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China.
Changchun XieDivision of Epidemiology and Biostatistics, Department of Environmental Health, University of Cincinnati, Cincinnati, Ohio, United States of America ; Center for Clinical and Translational Science and Training, University of Cincinnati, Cincinnati, Ohio, United States of America.
Da HuoInstitute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing, China.
Lixin TaoSchool of Public Health, Capital Medical University, Beijing, China ; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China.
Lei PanSchool of Public Health, Capital Medical University, Beijing, China ; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China.
Fei SunBeijing Geriatric Healthcare Center, Xuan Wu Hospital, Capital Medical University, Beijing, China.
Huiping ZhuSchool of Public Health, Capital Medical University, Beijing, China ; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China.
Xinghua YangSchool of Public Health, Capital Medical University, Beijing, China ; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China.
Wei WangSchool of Medical Science, Edith Cowan University, Perth, Australia.
Aoshuang YanSchool of Public Health, Capital Medical University, Beijing, China ; Beijing Municipal Science and Technology Commission, Beijing, China.
Xia LiSchool of Public Health, Capital Medical University, Beijing, China ; Epidemiology and Public Health, University College Cork, Cork, Ireland.
Xiuhua GuoSchool of Public Health, Capital Medical University, Beijing, China ; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China.
Capital Medical University · CNBeijing Center for Disease Prevention and Control · CNBeijing Municipal Education Commission · CNEdith Cowan University · AUUniversity of Cincinnati · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo examine the associations of combined lifestyle factors and physical conditions with cerebrovascular diseases (CBVD) mortality, after accounting for competing risk events, including death from cardiovascular diseases, cancers and other diseases.

methodsData on 2010 subjects aged over 55 years were finally analyzed using competing risk models. All the subjects were interviewed by the Beijing Longitudinal Study of Aging (BLSA), in China, between 1 January 1992 and 30 August 2009.

resultsElderly females were at a lower risk of death from CBVD than elderly males (HR = 0.639, 95% CI = 0.457-0.895). Increasing age (HR = 1.543, 95% CI = 1.013-2.349), poor self-rated health (HR = 1.652, 95% CI = 1.198-2.277), hypertension (HR = 2.201, 95% CI = 1.524-3.178) and overweight (HR = 1.473, 95% CI = 1.013-2.142) or obesity (HR = 1.711, 95% CI = 1.1754-2.490) was associated with higher CBVD mortality risk. Normal cognition function (HR = 0.650, 95% CI = 0.434-0.973) and living in urban (HR = 0.456, 95% CI = 0.286-0.727) was associated with lower CBVD mortality risk. Gray's test also confirmed the cumulative incidence (CIF) of CBVD was lower in the 'married' group than those without spouse, and the mortality was lowest in the 'nutrition sufficient' group among the 'frequent consumption of meat group' and the 'medial type group' (P value<0.001).

conclusionsCBVD mortality was associated with gender, age, blood pressure, residence, BMI, cognitive function, nutrition and the result of self-rated health assessment in the elderly in Beijing, China.

Indexed as

AgedAged, 80 and overAge FactorsCardiovascular DiseasesCause of DeathCerebrovascular DisordersChinaFemaleHumansMaleMiddle AgedNeoplasmsPublic Health SurveillanceRisk AssessmentRisk FactorsSex Factors

Identifiers

PMID24504327
PMCPMC3913670
OpenAlexW2055315602

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.