Evidence map›Paper›PMID 29090222›Full record

ArticleJournal of diabetes research2017

Changes in Proteinuria on the Risk of All-Cause Mortality in People with Diabetes or Prediabetes: A Prospective Cohort Study.

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

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

Article in Journal of diabetes research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 42% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
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

13 authors at 4 institutions in 2 countries.

Yang SunDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
Anxin WangDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, 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, Beijing, China.
Shuohua ChenDepartment of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, 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 ZhaoState Key Laboratory of Transducer Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing, China.
Huiping ZhuDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
Shouling WuDepartment of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China.ORCID 0000-0001-7095-6022
Xiuhua GuoDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.ORCID 0000-0001-6657-6940
Capital Medical University · CNNorth China University of Science and Technology · CNChinese Academy of Sciences · CNLa Trobe University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProteinuria has been related to all-cause mortality, showing regression or progression. However, few studies have focused on the relationship between proteinuria changes and all-cause mortality. The main purpose of this paper is to examine the associations between proteinuria changes and all-cause mortality in people with diabetes or prediabetes.

methodsDipstick proteinuria at baseline and a 2-year follow-up were determined in the participants attending the Kailuan prospective cohort study. Participants were then divided into three categories: elevated proteinuria, stable proteinuria, and reduced proteinuria. Four Cox proportional hazard models were built to access the relations of proteinuria changes to all-cause mortality, adjusting for other confounding covariates.

resultsA total of 17,878 participants were finally included in this study. There were 1193 deaths after a median follow-up of 6.69 years. After adjusting for major covariates and proteinuria at baseline, mortality risk was significantly associated with elevated proteinuria (hazard ratio (HR): 1.54, 95% confidence interval (CI): 1.33-1.79) and reduced proteinuria (HR: 0.70, 95% CI: 0.55-0.89), compared to those with stable proteinuria.

conclusionProteinuria changes were independently associated with mortality risk in either diabetic or prediabetic population.

Indexed as

AdolescentAdultAgedAged, 80 and overChinaCohort StudiesDiabetes Mellitus, Type 2Disease ProgressionFemaleHumansMaleMiddle AgedPrediabetic StateProspective StudiesProteinuriaRisk

Identifiers

PMID29090222
PMCPMC5635464
OpenAlexW2757288459

What OpenQuestion holds

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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.