Evidence map›Paper›PMID 32548144›Full record

ArticleWorld journal of clinical cases2020

High flux hemodialysis in elderly patients with chronic kidney failure.

Hai-Yan Xue, Bin Duan, Zhen-Jiang Li, Peng Du

Open access · diamondAbstract read
In one paragraph

Article in World journal of clinical cases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

4 authors at 2 institutions in 1 country.

Hai-Yan XueDialysis Center, The Fourth People's Hospital of Shaanxi, Xi'an 710043, Shaanxi Province, China.
Bin DuanDepartment of Kidney Diseases, Dialysis Center, Shaanxi Provincial People's Hospital, Xi'an 710068, Shaanxi Province, China.
Zhen-Jiang LiDepartment of Kidney Diseases, Dialysis Center, Shaanxi Provincial People's Hospital, Xi'an 710068, Shaanxi Province, China.
Peng DuDepartment of Kidney Diseases, Dialysis Center, Shaanxi Provincial People's Hospital, Xi'an 710068, Shaanxi Province, China. seasonn@163.com.
Shaanxi Provincial People's Hospital · CNThe Fourth People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHemodialysis is an advanced blood purification technique to manage kidney failure. However, for conventional hemodialysis, the high prevalence of dyslipidemia may cause cardiovascular diseases and an increase in mortality. Moreover, toxins accumulating in the body over time may induce some complications. High flux hemodialysis can effectively improve disease indexes and clinical symptoms.

aimTo investigate the efficacy of high flux hemodialysis in elderly patients with chronic kidney failure (CKF).

methodsA total of 66 elderly patients with CKF who were admitted to our hospital from October 2017 to October 2018 were included in the study. According to the therapies they received, the patients were divided into a study group and a control group with 33 patients in each group. The study group received high flux hemodialysis and the control group received conventional dialysis treatment. Kidney function, toxin levels in serum, and complications were compared in the two groups.

resultsBefore the treatment, there was no significant difference in kidney function, β2-microglobulin, or blood urea nitrogen between the two groups (

conclusionHigh flux hemodialysis may improve kidney function and reduce toxin levels in serum and the incidence of complications in elderly patients with CKF.

Indexed as

Chronic kidney failureElderly patientsHemodialysisHigh flux

Identifiers

PMID32548144
PMCPMC7281069
OpenAlexW3033581769

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.