Evidence map›Paper›PMID 32779058›Full record

Observational studyClinical and experimental nephrology2020

Evaluation of anemia, malnutrition, mineral, and bone disorder for maintenance hemodialysis patients based on bioelectrical impedance vector analysis (BIVA).

Zhijian Zhang, Daheng Yin, Hanzhi Chen, Bin Liu, Xiaobin Liu, Weiwei Shan, Jia Hua, Zhen Qi, Yue Zhang, Qiuhua Zhang and 4 more

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Clinical and experimental nephrology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

14 authors at 2 institutions in 1 country.

Zhijian ZhangDepartment of Nephrology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, 299 Qingyang Rd, Wuxi, Jiangsu, 214023, China.
Daheng YinDepartment of Nephrology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, 299 Qingyang Rd, Wuxi, Jiangsu, 214023, China.
Hanzhi ChenDepartment of Nephrology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, 299 Qingyang Rd, Wuxi, Jiangsu, 214023, China.
Bin LiuDepartment of Nephrology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, 299 Qingyang Rd, Wuxi, Jiangsu, 214023, China.
Xiaobin LiuDepartment of Nephrology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, 299 Qingyang Rd, Wuxi, Jiangsu, 214023, China.
Weiwei ShanDepartment of Nephrology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, 299 Qingyang Rd, Wuxi, Jiangsu, 214023, China.
Jia HuaDepartment of Nephrology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, 299 Qingyang Rd, Wuxi, Jiangsu, 214023, China.
Zhen QiDepartment of Nephrology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, 299 Qingyang Rd, Wuxi, Jiangsu, 214023, China.
Yue ZhangDepartment of Nephrology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, 299 Qingyang Rd, Wuxi, Jiangsu, 214023, China.
Qiuhua ZhangDepartment of Nephrology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, 299 Qingyang Rd, Wuxi, Jiangsu, 214023, China.
Yong ChenDepartment of Nephrology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, 299 Qingyang Rd, Wuxi, Jiangsu, 214023, China.
Liang WangDepartment of Nephrology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, 299 Qingyang Rd, Wuxi, Jiangsu, 214023, China. wangliang_wuxi@126.com.
Ya GuoKey Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, Wuxi, Jiangsu, 214122, China. guoy@jiangnan.edu.cn.ORCID http://orcid.org/0000-0002-8016-988X
Zhuxing SunDepartment of Nephrology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, 299 Qingyang Rd, Wuxi, Jiangsu, 214023, China. zx_sun@hotmail.com.
Wuxi People's Hospital · CNJiangnan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundESRD (End-stage renal disease) treatment is a comprehensive medical process and requires numerous serological biochemical tests (SBTs) in diagnosis. To reduce these invasive, expensive, cumbersome, and time-consuming SBTs, there is a need to develop an alternative serological biochemical composition evaluation method. Bioelectrical impedance analysis (BIA) is affected by body's chemical and physical components, which might be correlated with serological biochemical composition and can be potentially used to evaluate biochemical composition in hemodialysis patient treatments. In this work, the relationship of classic and specific bioelectrical impedance vector analysis (BIVA) with major serological biochemical indexes in maintenance hemodialysis (MHD) patients was examined.

methodsBioelectrical and biochemical datasets were measured from 280 women and 408 men and formed 3872 effective biochemical-bioelectrical records in total. Statistical analysis was performed.

resultsThe results show that BIVA vectors have strong relationship with phosphorus, hemoglobin, and PTH in both male and female groups. Strong correlation was also observed between Ca, albumin, CHOL, LDLC, and BIVA vectors in the male group. In the female group, a significant correlation was observed between classic BIVA values and NT-proBNP. SVM models are effective for classifying biochemical indexes.

conclusionsThe obtained correlations and SVM classification models imply that BIVA can be used as a preliminary tool to evaluate and classify the degree of anemia, malnutrition, fluid overload, and mineral and bone disorder (MBD) in MHD patients by reducing the number of SBTs.

Indexed as

Body CompositionNutritional StatusRenal DialysisAdultAgedAnemiaBiomarkersChronic Kidney Disease-Mineral and Bone DisorderCross-Sectional StudiesElectric ImpedanceFemaleHumansKidney Failure, ChronicMaleMalnutritionMiddle AgedBiomarkersAlbuminBioimpedanceCalciumChronic HemodialysisNutritionPhosphatemia

Identifiers

PMID32779058
OpenAlexW3048055874

What OpenQuestion holds

Textmetadata
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.