Evidence map›Paper›PMID 30896655›Full record

Observational studyMedicine2019

Mid-arm circumference, body fat, nutritional and inflammatory biomarkers, blood glucose, dialysis adequacy influence all-cause mortality in hemodialysis patients: A prospective cohort study.

Tuyen Van Duong, Pei-Yu Wu, Te-Chih Wong, Hsi-Hsien Chen, Tso-Hsiao Chen, Yung-Ho Hsu, Sheng-Jeng Peng, Ko-Lin Kuo, Hsiang-Chung Liu, En-Tzu Lin and 2 more

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
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

15 citing papers in PubMed.

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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

12 authors.

Tuyen Van DuongSchool of Nutrition and Health Sciences, Taipei Medical University.
Pei-Yu WuSchool of Nutrition and Health Sciences, Taipei Medical University.
Te-Chih WongDepartment of Nutrition and Health Sciences, Chinese Culture University.
Hsi-Hsien ChenSchool of Medicine, Taipei Medical University.
Tso-Hsiao ChenSchool of Medicine, Taipei Medical University.
Yung-Ho HsuSchool of Medicine, Taipei Medical University.
Sheng-Jeng PengDivision of Nephrology, Cathay General Hospital.
Ko-Lin KuoDivision of Nephrology, Taipei Tzu-Chi Hospital, New Taipei 231.
Hsiang-Chung LiuDepartment of Nephrology, Wei Gong Memorial Hospital, Miaoli 351.
En-Tzu LinDepartment of Nephrology, Lotung Poh-Ai Hospital, Yilan 265.
Yi-Wei FengSchool of Nutrition and Health Sciences, Taipei Medical University.
Shwu-Huey YangSchool of Nutrition and Health Sciences, Taipei Medical University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hemodialysis patients are at the high risk for morbidity and mortality. Evaluation and management of body composition and biochemical values are important to improve dialysis outcomes. We aimed to examine the effects of the mid-arm circumference, body fat, nutritional and inflammatory biomarkers, blood glucose, and dialysis adequacy on the mortality.A prospective cohort study was conducted on 375 patients from 7 hospital-based dialysis centers. At baseline between September 2013 and April 2017, we assessed patients' characteristics using chart review, body composition using the bioelectrical impedance analysis, and biochemical parameters using available laboratory tests. Patients were followed-up for all-cause mortality until April 2018. Kaplan-Meier Curves with Log-rank test, and Cox proportional hazards models were used to analyze the effects of assessed factors on the mortality.During the median of follow-up time of 1.4 (1.0-3.2) years, 47 (12.5%) patients died. In the multivariate analysis, mid-arm circumference (hazard ratio, HR, 0.90; 95% confidence interval, 95%CI, 0.82-0.99; P = .036), body fat mass (HR, 0.95; 95%CI, 0.91-1.00; P = .031), percent body fat (HR, 0.96; 95%CI, 0.92-0.99; P = .024), serum creatinine (HR, 0.81; 95%CI, 0.68-0.96; P = .015), and eKt/V (HR, 0.07; 95%CI, 0.01-0.33; P = .001) reduced the mortality risk. Inflammation (HR, 2.90; 95%CI, 1.59-5.27; P < .001), hyperglycemia (HR, 2.16; 95%CI, 1.06-4.40; P = .033), and low serum uric acid (HR, 2.22; 95%CI, 1.15-4.31; P = .018) increased the death risk.In hemodialysis patients, the higher values of the mid-arm circumference, body fat, serum creatinine, uric acid, and dialysis adequacy were associated with lower mortality, whereas, inflammation and hyperglycemia associated with higher mortality.

Indexed as

Blood GlucoseBody Weights and MeasuresInflammation MediatorsKidney Failure, ChronicNutritional StatusAgedComorbidityCreatinineElectric ImpedanceExerciseHumansKaplan-Meier EstimateMiddle AgedProportional Hazards ModelsRenal DialysisBlood GlucoseCreatinineInflammation Mediators

Identifiers

PMID30896655
PMCPMC6708842

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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.