Evidence map›Paper›PMID 36415108›Full record

ArticleRenal failure2022

Impact of fluid overload on blood pressure variability in patients on peritoneal dialysis.

Yuanmeng Jin, Xiaomin Huang, Chunyan Zhang, Jingyuan Xie, Hong Ren

Abstract read
In one paragraph

Article in Renal failure, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Visit-to-visit blood pressure variability and clinical outcomes in peritoneal dialysis - based on machine learning algorithms.Hypertension research : official journal of the Japanese Society of Hypertension · 2025
    Article
  6. Article
  7. Review
  8. 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

5 authors.

Yuanmeng JinDepartment of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, P.R. China.
Xiaomin HuangDepartment of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, P.R. China.
Chunyan ZhangDepartment of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, P.R. China.
Jingyuan XieDepartment of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, P.R. China.
Hong RenDepartment of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fluid overload is a common complication in patients who are on continuous ambulatory peritoneal dialysis (CAPD). Blood pressure is the traditional indicator of fluid status in these patients. However, it has poor sensitivity. Blood pressure variability (BPV) can detect fluctuations in blood pressure sooner and more accurately and be useful for the assessment of fluid volume in hemodialysis patient. However, there are limited relevant studies involving patients on CAPD. This retrospective study included 175 patients on CAPD who underwent regular assessment of the peritoneal dialysis adequacy at 2-3-month intervals at our center from January 2018 to December 2020. The overhydration (OH) value was measured using a body composition monitor. Blood pressure measurements obtained in each visit over one-year follow-up were used to determine each patient's BPV under peritoneal dialysis. The patients were divided into the normal volume (OH ≤2 L), mild volume overload (OH 2-4 L), and severe volume overload groups (OH ≥4 L). There was no significant between-group difference in the mean blood pressure (

Indexed as

Peritoneal DialysisPeritoneal Dialysis, Continuous AmbulatoryWater-Electrolyte ImbalanceBlood PressureHumansRetrospective StudiesBlood pressure variabilitybody composition monitoroverload valuesperitoneal dialysisvolume

Identifiers

PMID36415108
PMCPMC9704107

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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.