Evidence map›Paper›PMID 39548164›Full record

Observational studyScientific reports2024

Phase angle is a useful predicting indicator for protein-energy wasting and cardiovascular risk among maintenance hemodialysis patients.

Yun Wang, Yu Chen, Liqin Zhang, Ling Zhuang, Qianqian Yang, Qijing Wu, Zhengwen Tang, Shumin Shi, Bingru Fei, Lianhua Chen and 3 more

Abstract readObservational Study
In one paragraph

Observational study in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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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

10 citing papers in PubMed.

  1. Trial
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. 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

13 authors.

Yun Wang *Department of Nephrology, The Affiliated Huaian No.1, People's Hospital of Nanjing Medical University, Huaian, Jiangsu, China.
Yu Chen *Department of Cardiology, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huaian, Jiangsu, China.
Liqin Zhang *Department of Nephrology, The Affiliated Huaian No.1, People's Hospital of Nanjing Medical University, Huaian, Jiangsu, China.
Ling ZhuangDepartment of Nephrology, The Affiliated Huaian No.1, People's Hospital of Nanjing Medical University, Huaian, Jiangsu, China.
Qianqian YangDepartment of Nephrology, The Affiliated Huaian No.1, People's Hospital of Nanjing Medical University, Huaian, Jiangsu, China.
Qijing WuDepartment of Nephrology, The Affiliated Huaian No.1, People's Hospital of Nanjing Medical University, Huaian, Jiangsu, China.
Zhengwen TangDepartment of Nephrology, The Affiliated Huaian No.1, People's Hospital of Nanjing Medical University, Huaian, Jiangsu, China.
Shumin ShiDepartment of Nephrology, The Affiliated Huaian No.1, People's Hospital of Nanjing Medical University, Huaian, Jiangsu, China.
Bingru FeiDepartment of Nephrology, The Affiliated Huaian No.1, People's Hospital of Nanjing Medical University, Huaian, Jiangsu, China.
Lianhua ChenDepartment of Nephrology, The Affiliated Huaian No.1, People's Hospital of Nanjing Medical University, Huaian, Jiangsu, China.
Tongneng XueDepartment of Cardiology, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huaian, Jiangsu, China. xtn124184@163.com.
Yong XuDepartment of Nephrology, The Affiliated Huaian No.1, People's Hospital of Nanjing Medical University, Huaian, Jiangsu, China. haeyxy@163.com.
Hui ZhouDepartment of Nephrology, The Affiliated Huaian No.1, People's Hospital of Nanjing Medical University, Huaian, Jiangsu, China. zhouhui_903@163.com.

Funding

National Natural Science Foundation of China 82201713
6 · The paper itself

Abstract

Protein-energy wasting (PEW) is a major contributor to the high mortality among maintenance hemodialysis (MHD) patients. Cardiovascular disease (CVD) is the leading cause of death in dialysis patients, and PEW can significantly increase cardiovascular mortality in MHD patients. Previous studies have confirmed that PA may be a good objective indicator for determining the nutritional status and prognosis of MHD patients. Our study aimed to determine the predictive value of phase angle (PA) as detected by bioelectrical impedance analysis (BIA) on PEW and cardiovascular (CV) risk among MHD patients. Our retrospective observational study involved 161 adult patients with HD. The Cardiovascular risk score is a risk model based on the Japan Dialysis Outcome and Practice Patterns Study (J-DOPPS). We established LASSO logistic regression analysis model to identify key parameters related to body composition that can predict PEW in MHD patients. The area under the curve (AUC) values for PA, appendicular skeletal muscle mass index (ASMI), body cell mass (BCM), and mid-arm circumference (MAC) in predicting PEW in male MHD patients were relatively large, with 0.708, 0.674, 0.663, and 0.735, respectively. The predicted PEW values of these parameters were slightly lower in female patients than in men. We incorporated PA, ASMI, BCM, and MAC into a model that predicted the incidence of PEW in maintenance hemodialysis patients using LASSO technology. We discovered that the model predicted a greater AUC of PEW occurrence than any single factor, 0.877 for men and 0.76 for women. The results of the univariate logistic regression analysis showed that the low PA tertile array group had a greater incidence of PEW than the high PA group (P < 0.001). Additionally, we also found that lower PA was associated with higher CV risk scores. The PA detected by bioelectrical impedance analysis could predict the risk of PEW and cardiovascular events among patients with MHD. When used in conjunction, PA, ASMI, BCM, and MAC have a high diagnostic efficacy for PEW in patients on maintenance hemodialysis.

Indexed as

Cardiovascular DiseasesElectric ImpedanceRenal DialysisAdultAgedBody CompositionFemaleHumansKidney Failure, ChronicMaleMiddle AgedNutritional StatusPrognosisProtein-Energy MalnutritionRetrospective StudiesRisk FactorsBioelectrical impedance analysisCardiovascular riskHemodialysisPhase angleProtein energy wasting

Identifiers

PMID39548164
PMCPMC11568186

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.