Evidence map›Paper›PMID 35281528›Full record

ArticleJournal of healthcare engineering2022

Study on Correlation between Body Cell Mass Index and Cognitive Impairment in Hemodialysis Maintaining Patients: A Cross-Sectional Study.

Qinqin Ou, Chaomin Zhou, Maolu Tian, Xiangyan Yang, Yan Zha

RetractedOpen access · hybridAbstract readRetracted Publication
In one paragraph

Article in Journal of healthcare engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. 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 41% 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

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Qinqin OuZunyi Medical University, Zunyi 563000, China.
Chaomin ZhouDepartment of Nephrology, Guizhou Provincial People's Hospital, Guiyang 550002, China.
Maolu TianDepartment of Nephrology, Guizhou Provincial People's Hospital, Guiyang 550002, China.
Xiangyan YangZunyi Medical University, Zunyi 563000, China.
Yan ZhaZunyi Medical University, Zunyi 563000, China.ORCID 0000-0002-8810-647X
Zunyi Medical University · CNGuizhou Provincial People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the relationship between body cell mass index (BCMI) and cognitive impairment in maintaining hemodialysis (MHD) patients. Methods: We collected the general materials, laboratory indexes, and physical measurement indexes of patients undergoing maintenance hemodialysis in hemodialysis centers of 20 tertiary and tertiary general hospitals in Guizhou Province from June to September 2020. The body composition was measured by bioelectrical impedance method, and the BCMI value was calculated. The subjects were divided into normal cognitive function group (score ≥27), mild cognitive impairment group (score 23-26), and severe cognitive impairment group (score <23). Two groups of people with normal cognitive function and cognitive impairment with similar baseline data (gender, age, and education) were obtained by propensity score matching (PSM). Results: A total of 2008 subjects were included in this study, including 467 cases (23.3%) in the cognitive impairment group. A total of 814 cases were accurately matched after PSM. Multivariate logistic regression analysis showed that the incidence risk of the BCMI Q1 group was 8.99 times higher than that of the Q4 group (95% CI: 5.74 ∼ 14.09, Conclusions: BCMI is related to cognitive impairment in MHD patients and has predictive value for the onset of cognitive impairment in MHD patients.

Indexed as

Cognitive DysfunctionRenal DialysisBody Mass IndexCross-Sectional StudiesElectric ImpedanceHumans

Identifiers

PMID35281528
PMCPMC8913052
OpenAlexW4214904094

What OpenQuestion holds

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LicenceCC BY
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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.