Evidence map›Paper›PMID 27484994›Full record

ArticleCardiovascular diabetology2016

The influence of body composition on renal function in patients with coronary artery disease and its prognostic significance: a retrospective cohort study.

Yong Peng, Hua Wang, Fei Chen, Fang-Yang Huang, Tian-Li Xia, Yan-Biao Liao, Hua Chai, Peng-Ju Wang, Zhi-Liang Zuo, Wei Liu and 5 more

Open access · goldAbstract read
In one paragraph

Article in Cardiovascular diabetology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 19% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. Observational
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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

15 authors at 2 institutions in 1 country.

Yong PengDepartment of Cardiology, West China Hospital, Sichuan University, 37 Guoxue Street, 610041, Chengdu, People's Republic of China.
Hua WangDepartment of Cardiology, West China Hospital, Sichuan University, 37 Guoxue Street, 610041, Chengdu, People's Republic of China.
Fei ChenDepartment of Cardiology, West China Hospital, Sichuan University, 37 Guoxue Street, 610041, Chengdu, People's Republic of China.
Fang-Yang HuangDepartment of Cardiology, West China Hospital, Sichuan University, 37 Guoxue Street, 610041, Chengdu, People's Republic of China.
Tian-Li XiaDepartment of Cardiology, West China Hospital, Sichuan University, 37 Guoxue Street, 610041, Chengdu, People's Republic of China.
Yan-Biao LiaoDepartment of Cardiology, West China Hospital, Sichuan University, 37 Guoxue Street, 610041, Chengdu, People's Republic of China.
Hua ChaiDepartment of Cardiology, West China Hospital, Sichuan University, 37 Guoxue Street, 610041, Chengdu, People's Republic of China.
Peng-Ju WangDepartment of Cardiology, West China Hospital, Sichuan University, 37 Guoxue Street, 610041, Chengdu, People's Republic of China.
Zhi-Liang ZuoDepartment of Cardiology, West China Hospital, Sichuan University, 37 Guoxue Street, 610041, Chengdu, People's Republic of China.
Wei LiuDepartment of Cardiology, West China Hospital, Sichuan University, 37 Guoxue Street, 610041, Chengdu, People's Republic of China.
Chen ZhangDepartment of Cardiology, West China Hospital, Sichuan University, 37 Guoxue Street, 610041, Chengdu, People's Republic of China.
Yi-Jian LiDepartment of Cardiology, West China Hospital, Sichuan University, 37 Guoxue Street, 610041, Chengdu, People's Republic of China.
Yi-Yue GuiDepartment of Cardiology, West China Hospital, Sichuan University, 37 Guoxue Street, 610041, Chengdu, People's Republic of China.
Mao ChenDepartment of Cardiology, West China Hospital, Sichuan University, 37 Guoxue Street, 610041, Chengdu, People's Republic of China. hmaochen@vip.sina.com.
De-Jia HuangDepartment of Cardiology, West China Hospital, Sichuan University, 37 Guoxue Street, 610041, Chengdu, People's Republic of China. huangdjmd@163.com.
Sichuan University · CNWest China Hospital of Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe try to analyse the effect of renal functions on death in CAD patients with different body compositions.

methodsA retrospective analysis was conducted in 2989 consecutive patients with CAD confirmed by coronary angiography were enrolled and were grouped into two categories: basically preserved renal function (PRF) (eGFR ≥60 ml/min) and obviously reduced renal function (RRF) (eGFR <60 ml/min). The influence of renal insufficiency on mortality of CAD was detected in every tertile of body composition, including body mass index (BMI), body fat (BF) and lean mass index (LMI). The end points were all-cause mortality.

resultsThe mean follow-up time was 29.1 ± 12.5 months and death events occurred in 271 cases. The percentage of patients with RRF was positively correlated with BF and inversely correlated with the LMI, but no relationship to BMI. The survival curves showed that the risk of death was significantly higher in the RRF patients in all subgroups stratified using BMI, BF, or LMI (log rank test, all p < 0.001). The COX multivariate regression analysis showed that the risk of death was significantly higher in the RRF patients with high BF (HR 1.95, CI 1.25-3.05) and low LMI (HR 1.82, CI 1.19-2.79). Meanwhile, risk of death was significantly higher in RRF patients with a high BMI (HR 2.08, CI 1.22-3.55) or low BMI (HR 1.98, CI 1.28-3.08) but this risk was not significant in patients with a medium BMI (HR 1.12, 0.65-1.94). The subgroup analysis of patients with acute coronary syndrome (ACS) showed similar results.

conclusionsFor patients with CAD, renal insufficiency was positively correlated with BF, inversely correlated with LMI, and unrelated to BMI. The effect of renal insufficiency on the risk of death of CAD was related to body composition.

Indexed as

AdultAgedBody CompositionBody Mass IndexCohort StudiesCoronary Artery DiseaseFemaleHumansKidneyMaleMiddle AgedObesityPrognosisRetrospective StudiesBody compositionCoronary artery diseasePrognosisRenal function

Identifiers

PMID27484994
PMCPMC4971613
OpenAlexW2492248093

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.