Evidence map›Paper›PMID 37828422›Full record

ArticleBMC neurology2023

Prediction model for cognitive impairment in maintenance hemodialysis patients.

Ding Chen, Chang Xiao, Wangyan Xiao, Linjing Lou, Zhuo Gao, Xinlun Li

Open access · goldAbstract read
In one paragraph

Article in BMC neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 17% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
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  5. Observational
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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

6 authors at 1 institution in 1 country.

Ding ChenDepartment of Nephrology, Air Force Medical Center, PLA, No.30, Fucheng Road, Haidian District, Beijing, 100037, China.
Chang XiaoDepartment of Nephrology, Air Force Medical Center, PLA, No.30, Fucheng Road, Haidian District, Beijing, 100037, China.
Wangyan XiaoDepartment of Nephrology, Air Force Medical Center, PLA, No.30, Fucheng Road, Haidian District, Beijing, 100037, China.
Linjing LouDepartment of Nephrology, Air Force Medical Center, PLA, No.30, Fucheng Road, Haidian District, Beijing, 100037, China.
Zhuo GaoDepartment of Nephrology, Air Force Medical Center, PLA, No.30, Fucheng Road, Haidian District, Beijing, 100037, China.
Xinlun LiDepartment of Nephrology, Air Force Medical Center, PLA, No.30, Fucheng Road, Haidian District, Beijing, 100037, China. 19568703160@163.com.
Air Force General Hospital PLA · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo explore the risk factors for cognitive impairment in patients undergoing maintenance hemodialysis (MHD) and construct a predictive model for cognitive impairment.

methodsA total of 146 patients with end-stage renal disease (ESRD) undergoing MHD were recruited at our hospital between December 2021 and April 2022. Cognitive function was assessed using the Montreal Cognitive Assessment (MoCA), and scores of < 26 were considered indicative of cognitive impairment. Risk factors were identified using a multivariate logistic regression model, and a receiver operating characteristic curve was applied to construct the prediction model. Cognitive impairment risk was categorized using a multifactorial prediction model based on the weight of evidence.

results46 patients with cognitive impairment were identified, with a prevalence of 31.5% in ESRD patients undergoing MHD. Multivariate logistic regression analyses indicated that the following factors were associated with an increased risk of cognitive impairment in patients undergoing MHD: aged 55.0-64.0 years (OR:6.24; 95%CI:1.81-21.48; P = 0.001), aged 65.0-74.0 years (OR:16.10; 95%CI:4.03-64.37; P < 0.001), aged ≥ 75.0 years (OR:90.22; 95%CI:16.86-482.86; P < 0.001), duration of dialysis ≥ 5 years (OR:3.99; 95%CI:1.58-10.04; P = 0.003), and current smoker (OR:4.61; 95%CI:1.46-14.57; P = 0.009). The predictive value of the constructed model based on the aforementioned factors for cognitive impairment was 84% (95%CI,77-91%). The prevalence of cognitive impairment for patients at low, moderately low, moderately high, and high risk was 0% (95%CI:0-17%), 10% (95%CI:3-22%), 32% (95%CI:16-52%), and 65% (95%CI:50-78%), respectively.

conclusionsThis study constructed a multifactorial prediction model with a high predictive value for cognitive impairment in patients with ESRD undergoing MHD.

Indexed as

Cognitive DysfunctionKidney Failure, ChronicCognitionHumansRenal DialysisRisk FactorsCognitive impairmentEnd-stage renal diseaseMaintenance hemodialysisPrediction model

Identifiers

PMID37828422
PMCPMC10568884
OpenAlexW4387595047

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.