Evidence map›Paper›PMID 21818546›Full record

ArticleClinical and experimental nephrology2011

Significance of past history of renal failure for the detection of high-risk individuals for cardiovascular and end-stage renal disease: analysis of data from a nationwide health checkup.

Kazunobu Ichikawa, Tsuneo Konta, Ami Ikeda, Shouichi Fujimoto, Kunitoshi Iseki, Toshiki Moriyama, Kunihiro Yamagata, Kazuhiko Tsuruya, Hideaki Yoshida, Koichi Asahi and 3 more

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Article in Clinical and experimental nephrology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
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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

13 authors at 3 institutions in 1 country.

Kazunobu IchikawaDepartment of Cardiology, Pulmonology, and Nephrology, Yamagata University School of Medicine, 2-2-2 Iida-Nishi, Yamagata 990-9585, Japan.
Tsuneo Konta
Ami Ikeda
Shouichi Fujimoto
Kunitoshi Iseki
Toshiki Moriyama
Kunihiro Yamagata
Kazuhiko Tsuruya
Hideaki Yoshida
Koichi Asahi
Issei Kurahashi
Yasuo Ohashi
Tsuyoshi Watanabe
Yamagata University · JPUniversity of Tokyo Health Sciences · JPUniversity of Miyazaki Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClinical information regarding risk factors may be helpful in the detection of various diseases. This cross-sectional study examined the characteristics of subjects with past history of renal failure, and assessed whether this information would be useful for the efficient detection of high-risk individuals for chronic kidney disease (CKD) and cardiovascular disease (CVD) at health checkup.

methodsThis study utilized data from a nationwide health checkup, "The Specific Health Check and Guidance in Japan," and data for 250,130 adult subjects were analyzed. Subjects with self-reported history of renal failure and receiving dialysis therapy were defined as having a history of renal failure.

resultsAmong total participants, there were 1,400 (0.6%) with a history of renal failure. The prevalence of a history of renal failure was higher in subjects with CKD than in those without CKD (1.5 vs. 0.3%, P < 0.001) and increased with progression of the stage of CKD (0.9-43.5%). Subjects with a history of renal failure had a reduced estimated glomerular filtration rate (44.6 ± 20.3 ml/min/1.73 m(2)) and a higher prevalence of CKD (50.5%) and CVD (31.9%), compared with subjects with hypertension, diabetes or metabolic syndrome. Multivariate logistic regression analysis showed an independent association between a history of CVD and renal failure (odds ratio 3.68, 95% confidence interval 3.26-4.15), after adjustment for confounding factors.

conclusionsA history of renal failure was strongly associated with advanced CKD and CVD. Information regarding history of renal failure could be utilized to efficiently detect high-risk individuals at health checkup.

Indexed as

Medical History TakingAgedCardiovascular DiseasesCross-Sectional StudiesFemaleGlomerular Filtration RateHealth SurveysHumansJapanKidneyKidney Failure, ChronicLogistic ModelsMaleMiddle AgedOdds RatioPrevalence

Identifiers

PMID21818546
OpenAlexW1989261587

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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.