Evidence map›Paper›PMID 24324957›Full record

ArticleBioMed research international2013

Clinical epidemiology of reduced kidney function among elderly male fishing and agricultural population in Taipei, Taiwan.

Chi-Mei Kuo, Wu-Hsiung Chien, Hsi-Che Shen, Yi-Chun Hu, Yu-Fen Chen, Tao-Hsin Tung

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

5 citing papers in PubMed, 6 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

6 authors at 5 institutions in 1 country.

Chi-Mei KuoSchool of Medicine, Tzu-Chi University, Hualien 970, Taiwan.
Wu-Hsiung Chien
Hsi-Che Shen
Yi-Chun Hu
Yu-Fen Chen
Tao-Hsin Tung
Cheng Hsin General Hospital · TWMinistry of Health and Welfare · TWTaipei Medical University · TWTzu Chi University · TWYuanpei University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo quantify the prevalence of and associated factors for chronic kidney disease (CKD) among male elderly fishing and agricultural population in Taipei, Taiwan.

methodsSubjects (n = 2,766) aged 65 years and over voluntarily admitted to a teaching hospital for a physical checkup were collected in 2010. CKD was defined as an estimated glomerular filtration rate <60 mL/min/1.73 m².

resultsAmong these subjects, the over prevalence of chronic kidney disease was 13.6% (95% CI: 12.3-14.9%). The age-specific prevalence of CKD in 65-74 years, 75-84 years, and ≥85 years was 8.2%, 19.1%, and 27.0%, respectively. From the multiple logistic regression, age (OR = 1.05, 95% CI: 1.02-1.09), hyperuricemia (OR = 2.94, 95% CI: 1.90-3.78), central obesity (OR = 1.17, 95% CI: 1.02-1.56), hyperglycemia (OR = 1.23, 95% CI: 1.11-1.67), hypertriglyceridemia (OR = 1.25, 95% CI: 1.08-1.66), and lower HDL-C (OR = 1.61, 95% CI: 1.23-1.92) were statistically significantly related to CKD. The presence of metabolic components (one or two versus none, OR = 1.10, 95% CI: 1.04-1.25; three or more versus none, OR = 2.12, 95% CI: 1.86-2.78) also appeared to be statistically significantly related to CKD after adjustment for other independent factors.

conclusionSeveral clinical factors independently affect the development of CKD in the elderly male fishing and agricultural population.

Indexed as

Age FactorsGlomerular Filtration RateAgedAged, 80 and overAgricultureHumansHyperuricemiaLogistic ModelsMaleObesity, AbdominalPrevalenceRenal Insufficiency, ChronicRisk FactorsTaiwan

Identifiers

PMID24324957
PMCPMC3845510
OpenAlexW2090553369

What OpenQuestion holds

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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.