Evidence map›Paper›PMID 33551851›Full record

ArticleFrontiers in physiology2020

Metabolomics Evaluation of Patients With Stage 5 Chronic Kidney Disease Before Dialysis, Maintenance Hemodialysis, and Peritoneal Dialysis.

Sang Zhu, Feng Zhang, Ai-Wen Shen, Bo Sun, Tian-Yi Xia, Wan-Sheng Chen, Xia Tao, Sheng-Qiang Yu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2020. 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
1.9field-weighted citation impact, top 15% 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, 22 citations in OpenAlex.

  1. 4-Ethyl phenyl sulfate binding to human serum albumin.Protein science : a publication of the Protein Society · 2026
    Article
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  5. Review
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  7. Gut Microbiota in Patients Receiving Dialysis: A Review.Pathogens (Basel, Switzerland) · 2024
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. A metabolic biomarker panel of restless legs syndrome in peritoneal dialysis patients.Metabolomics : Official journal of the Metabolomic Society · 2022
    Article
  13. Article
  14. Review
  15. Article
  16. Article
  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

8 authors at 3 institutions in 1 country.

Sang ZhuDepartment of Pharmacy, The Affiliated Wuxi Children's Hospital of Nanjing Medical University, Wuxi, China.
Feng ZhangDepartment of Pharmacy, Changzheng Hospital, Naval Medical University, Shanghai, China.
Ai-Wen ShenDepartment of Nephrology, Changzheng Hospital, Naval Medical University, Shanghai, China.
Bo SunDepartment of Nephrology, Changzheng Hospital, Naval Medical University, Shanghai, China.
Tian-Yi XiaDepartment of Pharmacy, Changzheng Hospital, Naval Medical University, Shanghai, China.
Wan-Sheng ChenDepartment of Pharmacy, Changzheng Hospital, Naval Medical University, Shanghai, China.
Xia TaoDepartment of Pharmacy, Changzheng Hospital, Naval Medical University, Shanghai, China.
Sheng-Qiang YuDepartment of Nephrology, Changzheng Hospital, Naval Medical University, Shanghai, China.
Second Military Medical University · CNShanghai Changzheng Hospital · CNSecond Affiliated Hospital of Nanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveCurrent treatment options for patients with stage 5 chronic kidney disease before dialysis (predialysis CKD-5) are determined by individual circumstances, economic factors, and the doctor's advice. This study aimed to explore the plasma metabolic traits of patients with predialysis CKD-5 compared with maintenance hemodialysis (HD) and peritoneal dialysis (PD) patients, to learn more about the impact of the dialysis process on the blood environment.

methodsOur study enrolled 31 predialysis CKD-5 patients, 31 HD patients, and 30 PD patients. Metabolite profiling was performed using a targeted metabolomics platform by applying an ultra-high-performance liquid chromatography-tandem mass spectrometry method, and the subsequent comparisons among all three groups were made to explore metabolic alterations.

resultsCysteine metabolism was significantly altered between predialysis CKD-5 patients and both groups of dialysis patients. A disturbance in purine metabolism was the most extensively changed pathway identified between the HD and PD groups. A total of 20 discriminating metabolites with large fluctuations in plasma concentrations were screened from the group comparisons, including 2-keto-D-gluconic acid, kynurenic acid, s-adenosylhomocysteine, L-glutamine, adenosine, and nicotinamide.

conclusionOur study provided a comprehensive metabolomics evaluation among predialysis CKD-5, HD, and PD patients, which described the disturbance of metabolic pathways, discriminating metabolites and their possible biological significances. The identification of specific metabolites related to dialysis therapy might provide insights for the management of advanced CKD stages and inform shared decision-making.

Indexed as

hemodialysismetabolomicsperitoneal dialysispredialysis CKD-5UPLC-MS/MS

Identifiers

PMID33551851
PMCPMC7855177
OpenAlexW3122398676

What OpenQuestion holds

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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.