Evidence map›Paper›PMID 32143589›Full record

Observational studyBMC nephrology2020

High dose haemodialysis and haemodiafiltration parameters and the relationship with advanced vascular calcification.

Sung Keun Park, Won Joong Kim, Hyun Jin Kim, Hae Won Kim, Beom Kim, Hong Joo Lee, So-Young Lee, Yu Ho Lee, Dong-Jin Kim, Kyung-Hwan Jeong and 6 more

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in BMC nephrology, 2020. 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
–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

2 citing papers in PubMed.

  1. Association between B-cell activating factor and future depressive symptoms in hemodialysis patients.Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999) · 2025
    Observational
  2. 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

16 authors.

Sung Keun ParkCenter for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Won Joong KimDepartment of Internal Medicine, Hansol hospital, Seoul, Republic of Korea.
Hyun Jin KimDepartment of Internal Medicine, Veterans Healthcare Service Medical Center, Seoul, Republic of Korea.
Hae Won KimDepartment of Internal Medicine, Veterans Healthcare Service Medical Center, Seoul, Republic of Korea.
Beom KimDepartment of Internal Medicine, Veterans Healthcare Service Medical Center, Seoul, Republic of Korea.
Hong Joo LeeDepartment of Nephrology, Seoul Red Cross Hospital, Seoul, Republic of Korea.
So-Young LeeDivision of Nephrology, Department of Internal Medicine, CHA Bundang Medical Center, CHA University, Seongnam, Republic of Korea.
Yu Ho LeeDivision of Nephrology, Department of Internal Medicine, CHA Bundang Medical Center, CHA University, Seongnam, Republic of Korea.
Dong-Jin KimDepartment of Genetic Engineering, College of Life Science and Graduate School of Biotechnology, Kyung Hee University Global Campus, Yongin, Republic of Korea.
Kyung-Hwan JeongDivision of Nephrology, Department of Internal Medicine, Kyung Hee University, Seoul, Republic of Korea.
Ju-Young MoonDivision of Nephrology, Department of Internal Medicine, Kyung Hee University, Seoul, Republic of Korea.
Sang-Ho LeeDivision of Nephrology, Department of Internal Medicine, Kyung Hee University, Seoul, Republic of Korea.
Shin Young AhnDepartment of Internal Medicine, College of Medicine, Korea University, Seoul, Republic of Korea.
Gang Jee KoDepartment of Internal Medicine, College of Medicine, Korea University, Seoul, Republic of Korea.
Jae-Hong RyooDepartments of Occupational and Environmental Medicine, School of Medicine, Kyung Hee University, Seoul, Republic of Korea.
Dong-Young LeeDepartment of Internal Medicine, Veterans Healthcare Service Medical Center, Seoul, Republic of Korea. biizz@hanmail.net.

Funding

Veterans Health Service Medical Center Research Grant VHSMC17025
6 · The paper itself

Abstract

backgroundVascular calcification (VC) is a risk factor for cardiovascular disease in end-stage renal disease (ESRD) patients undergoing maintenance haemodialysis (MHD). However, evidence is still insufficient about the association between dialysis parameters and VC. Thus, this study was to evaluate association of dialysis parameters with VC.

methodsWe enrolled 297 ESRD patients undergoing MHD at six distinct centers in Korea. Study participants were categorized into 3 groups by the scoring system of abdominal aortic calcification based on lateral lumbar radiography (no VC group: 0, mild VC group: 1-7 and advanced VC group: 8-24). We compared the features of dialysis parameters according to the severity of VC. Multivariate logistic regression analysis was used to calculate adjusted odd ratios (ORs) and 95% confidence interval (CI) for mild and advanced VC in each haemodialysis parameter (adjusted OR [95% CI]).

resultsPooled Kt/V (spKt/V), equilibrated Kt/V (eKt/V), standard Kt/V (stdKt/V) and the proportion of haemodiafiltration were increased along with the severity of VC. Multivariate regression analysis indicated that advanced VC was positively associated with spKt/V (5.27 [1.51-18.41]), eKt/V (6.16 [1.45-26.10]), stdKt/V (10.67 [1.74-65.52]) and haemodiafiltration (3.27 [1.74 to 6.16]).

conclusionHigh dose dialysis and haemodiafiltration were significantly associated with advanced VC.

Indexed as

AdultAorta, AbdominalCross-Sectional StudiesDisease ProgressionFemaleHemodiafiltrationHumansKidney Failure, ChronicMaleMiddle AgedRadiographyRenal DialysisRisk FactorsVascular CalcificationEnd-stage renal diseaseHaemodialysisKt/VVascular calcification

Identifiers

PMID32143589
PMCPMC7060583

What OpenQuestion holds

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LicenceCC BY
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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.