Evidence map›Paper›PMID 33076478›Full record

ArticleCells2020

Mutual Interaction of Clinical Factors and Specific microRNAs to Predict Mild Cognitive Impairment in Patients Receiving Hemodialysis.

Jin-Bor Chen, Chiung-Chih Chang, Lung-Chih Li, Wen-Chin Lee, Chia-Ni Lin, Sung-Chou Li, Sin-Hua Moi, Cheng-Hong Yang

Open access · goldAbstract read
In one paragraph

Article in Cells, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

7 citing papers in PubMed, 7 citations in OpenAlex.

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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

8 authors at 4 institutions in 1 country.

Jin-Bor ChenDivision of Nephrology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung 833, Taiwan.ORCID 0000-0003-4007-1455
Chiung-Chih ChangDepartment of Neurology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung 833, Taiwan.
Lung-Chih LiDivision of Nephrology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung 833, Taiwan.
Wen-Chin LeeDivision of Nephrology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung 833, Taiwan.ORCID 0000-0001-6172-1483
Chia-Ni LinDepartment of Laboratory Medicine, Chang-Gung Memorial Hospital at Linkou Medical Center and Department of Medical Biotechnology and Laboratory Science, Chang Gung University, Taoyuan 33303, Taiwan.ORCID 0000-0002-2722-0164
Sung-Chou LiClinical Genomics & Proteomics Core Lab, Department of Medical Research, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung 833, Taiwan.
Sin-Hua MoiCenter of Cancer Program Development, E-Da Cancer Hospital, I-Shou University, Kaohsiung 833, Taiwan.ORCID 0000-0002-4082-1909
Cheng-Hong YangDepartment of Electronic Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 833, Taiwan.
Chang Gung University · TWI-Shou University · TWKaohsiung Chang Gung Memorial Hospital · TWNational Kaohsiung University of Science and Technology

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cognitive impairment (CI) is not uncommon in dialysis patients. Various factors have been implicated. This study aims to examine mutual interaction of various clinical factors for CI in patients receiving hemodialysis. A total of 48 hemodialysis patients in outpatient clinic were recruited from 2015 to 2017. Demographics, circulating uremic toxin concentrations, miRNA concentrations, and nerve injury protein concentrations were collected. Clinical dementia rating (CDR) scores were used to stratify the functional scores of the patients. Receiver operating characteristic (ROC) analysis was used to evaluate diagnostic test performance for predicting dichotomous results, and cumulative ROC analysis was used to examine the combined contribution of clinical factors. CDR scale 0 included 15 patients (mean age, 59.1 years); CDR > 0.5 included 33 patients (mean age, 64.0 years). On cumulative ROC analysis, the major predictors of mild CI were hemoglobin, age, sex, homocysteine, neuron-specific enolase (NSE), and miR-486. The cumulative area under the curve (AUC) on combining hemoglobin, age, and miR-486 was the highest (0.897, 95% confidence interval 0.806-0.988). Two dichotomized variables reached 81.82% sensitivity and 86.67% specificity, with the likelihood ratio for positive and negative results being 6.14 and 0.21, respectively. In conclusion, hemoglobin, age, and miR-486 display high-degree combined effects on mild CI in patients receiving hemodialysis.

Indexed as

AgedAge FactorsCognitive DysfunctionComorbidityData Interpretation, StatisticalFemaleHeat-Shock ProteinsHemoglobinsHumansMaleMental Status and Dementia TestsMicroRNAsMiddle AgedPhosphopyruvate HydrataseRenal DialysisRenal Insufficiency, ChronicHeat-Shock ProteinsHemoglobinsMicroRNAsPhosphopyruvate HydrataseS100B protein, humanS100 Calcium Binding Protein beta Subunithemodialysis unitmicroRNAsmild cognitive impairment

Identifiers

PMID33076478
PMCPMC7650531
OpenAlexW3092709947

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.