Evidence map›Paper›PMID 28807011›Full record

ArticleCardiovascular diabetology2017

Changes in proteinuria and the risk of myocardial infarction in people with diabetes or pre-diabetes: a prospective cohort study.

Anxin Wang, Yang Sun, Xiaoxue Liu, Zhaoping Su, Junjuan Li, Yanxia Luo, Shuohua Chen, Jianli Wang, Xia Li, Zhan Zhao and 3 more

Erratum issuedOpen access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cardiovascular diabetology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

20 citing papers in PubMed, 33 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 3 institutions in 2 countries.

Anxin WangDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No. 10 Xitoutiao, Youanmenwai, Fengtai District, Beijing, 100069, China.
Yang SunDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No. 10 Xitoutiao, Youanmenwai, Fengtai District, Beijing, 100069, China.
Xiaoxue LiuDepartment of Cardiology, Tangshan People's Hospital, North China University of Science and Technology, Tangshan, China.
Zhaoping SuDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Junjuan LiDepartment of Nephrology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China.
Yanxia LuoDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No. 10 Xitoutiao, Youanmenwai, Fengtai District, Beijing, 100069, China.
Shuohua ChenDepartment of Cardiology, Kailuan Hospital, North China University of Science and Technology, No. 57 Xinhua Road, Lubei District, Tangshan, 063000, China.
Jianli WangDepartment of Rehabilitation, Kailuan Hospital, North China University of Science and Technology, Tangshan, China.
Xia LiDepartment of Mathematics and Statistics, La Trobe University, Melbourne, Australia.
Zhan ZhaoUniversity of Chinese Academy of Sciences, Beijing, China.
Huiping ZhuDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No. 10 Xitoutiao, Youanmenwai, Fengtai District, Beijing, 100069, China.
Shouling WuDepartment of Cardiology, Kailuan Hospital, North China University of Science and Technology, No. 57 Xinhua Road, Lubei District, Tangshan, 063000, China. drwusl@163.com.
Xiuhua GuoDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No. 10 Xitoutiao, Youanmenwai, Fengtai District, Beijing, 100069, China. statguo@ccmu.edu.cn.ORCID 0000-0001-6657-6940
Capital Medical University · CNNorth China University of Science and Technology · CNChinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe relationship between changes in proteinuria and myocardial infarction (MI) remains unclear in people with diabetes or pre-diabetes. We aimed to evaluate the predictive value and independent role of changes in proteinuria over a 2-year period in the incidence of MI in people with diabetes or pre-diabetes.

methodsBased on the baseline and 2-year dipstick screening results from the Kailuan prospective cohort study, participants were divided into four categories: no proteinuria, remittent proteinuria, incident proteinuria, and persistent proteinuria. Four multivariable Cox proportional hazard models were built to adjust for the effects of different confounding covariates.

resultsAmong the 17,625 participants in this study, there were a total of 238 incidents of MI during a median follow-up of 6.69 years. After adjusting for demography factors and laboratory indices, the association between persistent proteinuria and MI incidence was maintained (hazard ratio [HR] 2.50, 95% confidence interval [CI] 1.48-4.22). Every decrease of proteinuria from 2006 to 2008 was observed to be responsible for a 21% decline of MI incidence (HR 0.79, 95% CI 0.68-0.90). The interaction between changes in proteinuria and diabetes was confirmed with no effect on MI (P = 0.3371).

conclusionsPersistent proteinuria is an independent risk factor for MI incidence in the pre-diabetic and diabetic population. These findings may help clinicians to interpret proteinuria changes in the outpatient setting and provide possible preventive approaches for people with pre-diabetes or diabetes.

Indexed as

AdultAgedChinaCohort StudiesDiabetes MellitusFemaleFollow-Up StudiesHumansMaleMiddle AgedMyocardial InfarctionPrediabetic StateProspective StudiesProteinuriaRisk FactorsDiabetesMyocardial infarctionPre-diabetesProteinuria

Identifiers

PMID28807011
PMCPMC5557523
OpenAlexW2748014415

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.