Evidence map›Paper›PMID 27537335›Full record

ArticlePloS one2016

Estimated Glomerular Filtration Rate and Mortality among Patients with Coronary Heart Disease.

Qian Chen, Yuan Zhang, Ding Ding, Min Xia, Dan Li, Yunou Yang, Qing Li, Jiaxing Liu, Xuechen Chen, Gang Hu and 1 more

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Observational
  3. Ten things to know about ten cardiovascular disease risk factors - 2022.American journal of preventive cardiology · 2022
    Review
  4. Article
  5. Ten things to know about ten cardiovascular disease risk factors.American journal of preventive cardiology · 2021
    Review
  6. Review
  7. Chronic Kidney Disease And Associated Risk Factors Among Cardiovascular Patients.International journal of nephrology and renovascular disease · 2019
    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

11 authors.

Qian ChenGuangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China.
Yuan ZhangDepartment of Cardiology, General Hospital of Guangzhou Military Command of People's Liberation Army, Guangzhou, Guangdong, China.
Ding DingGuangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China.
Min XiaGuangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China.
Dan LiGuangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China.
Yunou YangGuangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China.
Qing LiGuangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China.
Jiaxing LiuGuangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China.
Xuechen ChenGuangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China.
Gang HuChronic Disease Epidemiology Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA, United States of America.
Wenhua LingGuangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe association between estimated glomerular filtration rate (eGFR) and the risk of mortality among patients with coronary heart disease (CHD) is complex and still unclear. The aim of this study was to evaluate the effect of eGFR on the risk prediction of all-cause and cardiovascular disease (CVD) mortality with a long follow-up period among patients with CHD in China.

methodsWe conducted a prospective cohort study of 3276 Chinese patients with CHD. Cox proportional hazards regression models were used to estimate the association of different levels of eGFR with the risks of mortality.

resultsDuring a mean follow-up period of 4.9 years, 293 deaths were identified. The multivariable-adjusted hazard ratios associated with different levels of eGFR (≥90 [reference group], 60-89, 30-59, 15-29 ml/min per 1.73m2) at baseline were 1.00, 1.28 (95% confidence interval [CI], 0.87-1.88), 1.96 (95% CI, 1.31-2.94), and 3.91 (95% CI, 2.15-7.13) (P <0.001) for all-cause mortality, and 1.00, 1.26 (95% CI, 0.78-2.04), 1.94 (95% CI, 1.17-3.20), and 3.77 (95% CI, 1.80-7.89) (P <0.001) for CVD mortality, respectively. After excluding subjects who died during the first 2 years of follow-up (n = 113), the graded associations of eGFR with the risks of all-cause and CVD morality were still present. The addition of eGFR to a model including traditional cardiovascular risk factors resulted in significant improvement in the prediction of all-cause and CVD mortality.

conclusionsReduced eGFR (< 60 ml/min per 1.73 m2) at baseline is associated with increased risks of all-cause and CVD mortality among Chinese patients with CHD.

Indexed as

AgedChinaCoronary DiseaseFemaleGlomerular Filtration RateHumansKidneyMaleMiddle AgedProportional Hazards ModelsProspective StudiesRisk Factors

Identifiers

PMID27537335
PMCPMC4990321

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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.