Evidence map›Paper›PMID 30188943›Full record

Trial reportPloS one2018

Alcohol use disorder tied to development of chronic kidney disease: A nationwide database analysis.

Chi-Syuan Pan, Teressa Reanne Ju, Chi Chan Lee, Yu-Pei Chen, Chung-Y Hsu, Dong-Zong Hung, Wei-Kung Chen, I-Kuan Wang

Open access · goldAbstract readComparative StudyRandomized Controlled Trial
In one paragraph

Trial report in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 3 pooled it
3.3field-weighted citation impact, top 7% 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

28 citing papers in PubMed, 3 syntheses or guidelines pooled it, 51 citations in OpenAlex.

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  11. Epidemiology of Diabetic Kidney Disease among US Veterans.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024
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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 3 institutions in 2 countries.

Chi-Syuan PanDepartment of Emergency Medicine, China Medical University Hospital, Taichung, Taiwan.ORCID 0000-0001-9959-6091
Teressa Reanne JuMackay Memorial Hospital, Taipei, Taiwan.
Chi Chan LeeDepartment of Critical Care, Oregon Health Science University Hospital, Portland, OR, United States of America.ORCID 0000-0003-0221-7329
Yu-Pei ChenManagement Office for Health Data, China Medical University Hospital, Taichung, Taiwan.
Chung-Y HsuManagement Office for Health Data, China Medical University Hospital, Taichung, Taiwan.
Dong-Zong HungDepartment of Emergency Medicine, China Medical University Hospital, Taichung, Taiwan.
Wei-Kung ChenDepartment of Emergency Medicine, China Medical University Hospital, Taichung, Taiwan.
I-Kuan WangGraduate Institute of Clinical Medical Science, China Medical University, Taichung, Taiwan.
China Medical University · TWMackay Memorial Hospital · TWOregon Health and Science University Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAlcohol use disorder (AUD) is a spectrum of high risk behaviors including alcohol abuse and dependence. Chronic kidney disease (CKD) is progressive loss of renal function for more or equal to 3 months or presence of any irreversible kidney damage. Common risk factors of CKD have been identified, but the impact of alcohol consumption on kidney function is controversial. The study aims to investigate the relationship between alcohol use disorder and CKD on a national scale.

methodsThis retrospective cohort study was conducted using Taiwan's National Health Insurance research database. Patients aged 20 years or older, without CKD and with the diagnosis of AUD (ICD-9-CM codes 303.X; 305.0, V113) from years 2000 to 2013 were enrolled. Control cohort was selected to match the demographics of the target population. Patients were followed until the end of 2013 or earlier if they developed CKD, died, or lost follow up. Baseline characteristics and comorbidities were identified for risk stratification.

resultsWe identified 11639 patients in the AUD cohort and 46556 patients in the control cohort. Compared to patients in the control cohort, those in the AUD group were more likely to have multiple comorbidities (p < 0.001 for all comorbidities). After adjustment of age, gender, baseline comorbidities, and nonsteroidal anti-inflammatory drug use, the diagnosis of AUD was associated with an increased risk of CKD development (aHR = 1.62, 95% CI, 1.46-1.81). During the mean follow up periods of 6.47 (standard deviation (SD) = 3.80) years for the AUD cohort and 7.23 (SD = 3.75) years for the control cohort, the overall incidence density of CKD was significantly higher in patients with AUD than those in the control cohort (3.48 vs 6.51 per 1000 person-years, aHR = 1.68, 95% CI, 1.50-1.87). Kaplan-Meier analysis showed that the AUD cohort had a higher cumulative incidence of CKD than the control cohort (log-rank test, p value < 0.001). Patients with AUD had higher risks of CKD in all the stratified groups, except for the subgroup with age over 65 years old.

conclusionOur study suggested that AUD was associated with an increased incidence of newly diagnosed CKD by nearly two folds. Young age, in particular, had a higher association between AUD and CKD. Considering the preventable nature of AUD, establishing effective health policies is imperative to reduce high-risk alcohol behaviors and thereby prevent alcohol-related kidney disease. Further prospective studies are warranted to further elucidate the causation of AUD on kidney function.

Indexed as

Databases, FactualAdultAgedAlcoholismFemaleFollow-Up StudiesHumansIncidenceMaleMiddle AgedRenal Insufficiency, ChronicRisk FactorsTaiwan

Identifiers

PMID30188943
PMCPMC6126842
OpenAlexW2889626642

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.