Evidence map›Paper›PMID 26779422›Full record

ArticleKidney research and clinical practice2015

Effect of blood pressure and glycemic control on the plasma cell-free DNA in hemodialysis patients.

Da Wun Jeong, Ju-Young Moon, Young-Wook Choi, Haena Moon, Kipyo Kim, Yu-Ho Lee, Se-Yeun Kim, Yang-Gyun Kim, Kyung-Hwan Jeong, Sang-Ho Lee

Open access · diamondAbstract read
In one paragraph

Article in Kidney research and clinical practice, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

17 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. NETosis and kidney disease: what do we know?International urology and nephrology · 2023
    Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Cell free DNA as a diagnostic and prognostic marker for cardiovascular diseases.Clinica chimica acta; international journal of clinical chemistry · 2020
    Review
  11. Article
  12. Article
  13. Article
  14. Serum DNA integrity index as a potential molecular biomarker in endometrial cancer.Journal of experimental & clinical cancer research : CR · 2018
    Article
  15. Article
  16. NETosis provides the link between activation of neutrophils on hemodialysis membrane and comorbidities in dialyzed patients.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2017
    Review
  17. 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

10 authors at 1 institution in 1 country.

Da Wun JeongDivision of Nephrology, Department of Internal Medicine, College of Medicine, Kyung Hee University, Seoul, Korea.
Ju-Young MoonDivision of Nephrology, Department of Internal Medicine, College of Medicine, Kyung Hee University, Seoul, Korea.
Young-Wook ChoiDivision of Nephrology, Department of Internal Medicine, College of Medicine, Kyung Hee University, Seoul, Korea.
Haena MoonDivision of Nephrology, Department of Internal Medicine, College of Medicine, Kyung Hee University, Seoul, Korea.
Kipyo KimDivision of Nephrology, Department of Internal Medicine, College of Medicine, Kyung Hee University, Seoul, Korea.
Yu-Ho LeeDivision of Nephrology, Department of Internal Medicine, College of Medicine, Kyung Hee University, Seoul, Korea.
Se-Yeun KimDivision of Nephrology, Department of Internal Medicine, College of Medicine, Kyung Hee University, Seoul, Korea.
Yang-Gyun KimDivision of Nephrology, Department of Internal Medicine, College of Medicine, Kyung Hee University, Seoul, Korea.
Kyung-Hwan JeongDivision of Nephrology, Department of Internal Medicine, College of Medicine, Kyung Hee University, Seoul, Korea.
Sang-Ho LeeDivision of Nephrology, Department of Internal Medicine, College of Medicine, Kyung Hee University, Seoul, Korea.
Kyung Hee University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe plasma levels of cell-free DNA (cfDNA) are known to be elevated under inflammatory or apoptotic conditions. Increased cfDNA levels have been reported in hemodialysis (HD) patients. The aim of this study was to investigate the clinical significance of cfDNA in HD patients.

methodsA total of 95 patients on HD were enrolled. We measured their predialysis cfDNA levels using real-time EIF2C1 gene sequence amplification and analyzed its association with certain clinical parameters.

resultsThe mean plasma cfDNA level in the HD patients was 3,884 ± 407 GE/mL, and the mean plasma cfDNA level in the control group was 1,420 ± 121 GE/mL (P < 0.05). Diabetic patients showed higher plasma cfDNA levels compared with nondiabetic patients (P < 0.01). Patients with cardiovascular complications also showed higher plasma cfDNA levels compared with those without cardiovascular complication (P < 0.05). In univariable analysis, the cfDNA level was associated with 3-month mean systolic blood pressure (SBP), white blood cell, serum albumin, creatinine (Cr), normalized protein catabolic rate in HD patients. In diabetic patients, it was significantly correlated with SBP, hemoglobin A1c, and serum albumin. In multivariate analysis, SBP was the independent determinant for the cfDNA level. In diabetic patients, cfDNA level was independently associated with hemoglobin A1c and SBP.

conclusionsIn patients with HD, cfDNA is elevated in diabetic patients and patients with cardiovascular diseases. Uncontrolled hypertension and poor glycemic control are independent determinants for the elevated cfDNA. Our data suggest that cfDNA might be a marker of vascular injury rather than proinflammatory condition in HD patients.

Indexed as

BiomarkerBlood pressureCell-free DNADiabetes mellitusHemodialysis

Identifiers

PMID26779422
PMCPMC4688578
OpenAlexW2184917224

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

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.