Evidence map›Paper›PMID 32295526›Full record

ArticleBMC nephrology2020

A five-year longitudinal study of the relation between end-stage kidney disease as the outcomes.

Hsiu-Lan Li, Pei-Hui Tai, Yi-Ting Hwang, Shih-Wei Lin

Open access · goldAbstract read
In one paragraph

Article in BMC nephrology, 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
0.3field-weighted citation impact, top 44% 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 3 institutions in 1 country.

Hsiu-Lan LiGraduate Institute of Business and Management, Chang Gung University, Taoyuan City, Taiwan.
Pei-Hui TaiDepartment of Nursing, En Cku Kong Hospital, New Taipei City, Taiwan.
Yi-Ting HwangDepartment of Statistics, National Taipei University, New Taipei City, Taiwan.
Shih-Wei LinDepartment of Information Management, Chang Gung University, 259 Wen-Hwa 1st Road, Kwei-Shan, Tao-Yuan, 333, Taiwan. swlin@mail.cgu.edu.tw.
Chang Gung University · TWEn Chu Kong Hospital · TWNational Taipei University · TW

Funding

En Chu Kong Hospital ECKH10602Linkou Chang Gung Memorial Hospital BMRPA19Ministry of Science and Technology MOST 107-2410-H-182-005-MY2
6 · The paper itself

Abstract

backgroundPatients with end-stage kidney disease (ESKD) are required to undergo consecutive time-based blood and biochemical tests to determine the progression of the disease according to changes in their blood and biochemical data. This study employed a random intercept model to investigate whether time-based blood and biochemical data present any notable clinical meaning that can be used to track disease progression.

methodsThis study conducted a retrospective analysis on the dialytic data of 148 patients with ESKD, who received hemodialysis between January 2005 and December 2015. The patients were all at least 20 years old, and the data used included patient demographic information and results for at least 60 blood and biochemical tests. A random intercept model was used to analyze the relationships among blood and biochemical test results, explanatory variables of patient comorbidities, and time.

resultsThe age range of patients was between 33 and 98 years, with an average of 66.1 years and those over 65 years old comprising 51.3% (n = 76) of the total. Furthermore, hypertension was found to be the most common comorbidity among patients (87.2%, n = 129), followed by anemia (48.6%, n = 72), diabetes (47.3%, n = 70), dyslipidemia (19.6%, n = 29), and peptic ulcer (19.6%, n = 29). Coronary atherosclerotic heart disease is a comorbidity that can serve as a strong and independent marker for prognosis in patients with ESKD. Serum creatinine level can serve as an alternative indicator because patients with ESKD and comorbid diabetes may exhibit increased creatinine levels.

conclusionsThe results of a parameter estimation for longitudinal data analysis suggested that comorbidity and time were critical variables influencing blood and biochemical test results. Furthermore, WBC and HBC, HCT, albumin, protein, and creatinine levels were recognized as variables of critical significance. The results obtained in this study indicate that multimorbidity increases the treatment burden on patients, leading to polypharmacy. For this reason, comprehensive care and treatment of ESKD cannot rely solely on data from one single time point; instead, longitudinal analysis and other data that can affect patient prognosis must also be considered.

Indexed as

Disease ProgressionKidney Failure, ChronicPrognosisAgedBiomarkersComorbidityFemaleHumansHypertensionKidney Function TestsLongitudinal StudiesMaleOutcome and Process Assessment, Health CareRenal DialysisRisk AssessmentTaiwanBiomarkersComorbidityEnd-stage kidney diseaseEnd-stage renal diseaseLongitudinal Study

Identifiers

PMID32295526
PMCPMC7161172
OpenAlexW3017035329

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.