Evidence map›Paper›PMID 26963719›Full record

Trial reportPloS one2016

Association between Blood Dioxin Level and Chronic Kidney Disease in an Endemic Area of Exposure.

Chien-Yuan Huang, Cheng-Long Wu, Jin-Shang Wu, Jung-Wei Chang, Ya-Yun Cheng, Yau-Chang Kuo, Yi-Ching Yang, Ching-Chang Lee, How-Ran Guo

Open access · goldAbstract readClinical TrialComparative Study
In one paragraph

Trial report in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
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

9 authors at 2 institutions in 1 country.

Chien-Yuan HuangDepartment of Environmental and Occupational Health, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Cheng-Long WuDepartment of Environmental and Occupational Health, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Jin-Shang WuDepartment of Family Medicine, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Jung-Wei ChangDepartment of Family Medicine, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Ya-Yun ChengDepartment of Environmental and Occupational Health, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Yau-Chang KuoDepartment of Occupational and Environmental Medicine, National Cheng Kung University Hospital, Tainan, Taiwan.
Yi-Ching YangDepartment of Family Medicine, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Ching-Chang LeeDepartment of Environmental and Occupational Health, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
How-Ran GuoDepartment of Environmental and Occupational Health, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
National Cheng Kung University · TWNational Cheng Kung University Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDioxin is an industrial pollutant related to various diseases, but epidemiological data on its effects on the kidney are limited. Therefore, we conducted a study to evaluate the association between dioxin exposure and chronic kidney disease (CKD) and identify the related factors.

methodsWe conducted a community-based cross-sectional study and recruited participants from an area where the residents were exposed to dioxin released from a factory. We defined a "high dioxin level" as polychlorinated dibenzo-p-dioxins and dibenzofurans (PCDD/Fs) ≥ 20 pg WHO98-TEQDF/g lipid in the serum and defined CKD as having an estimated glomerular filtration rate (e-GFR) ≤ 60 mL/min/1.73m2 or a diagnosis of CKD by a physician. The renal function was assessed between 2005 and 2010, and we excluded those who had had kidney diseases before the study started. Comparisons between patients of CKD and those who did not have CKD were made to identify the risk factors for CKD.

resultsOf the 2898 participants, 1427 had high dioxin levels, and 156 had CKD. In the univariate analyses, CKD was associated with high dioxin levels, age, gender, metabolic syndrome, diabetes mellitus, hypertension, and high insulin and uric acid levels. After adjusting for other factors, we found high dioxin levels (adjusted odds ratio [AOR] = 1.76, 95% confidence interval [CI]: 1.04-2.99), female gender (AOR = 1.74, 95%CI: 1.20-2.53), hypertension (AOR = 1.68, 95%CI: 1.17-2.42), high insulin levels (AOR = 2.14, 95% CI: 1.26-3.61), high uric acid levels (AOR = 4.25, 95% CI: 2.92-6.20), and older age (AOR = 4.66, 95% CI: 1.87-11.62 for 40-64 year and AOR = 26.66, 95% CI: 10.51-67.62 for age ≥ 65 year) were independent predictors of CKD.

conclusionA high dioxin level was associated with an increased prevalence of CKD. Therefore, the kidney function of populations with exposure to dioxin should be monitored.

Indexed as

Glomerular Filtration RateAdolescentAdultAgedAge FactorsCross-Sectional StudiesDioxinsFemaleHumansMaleMiddle AgedRenal Insufficiency, ChronicSex FactorsTaiwanDioxins

Identifiers

PMID26963719
PMCPMC4786121
OpenAlexW2294211066

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.