Evidence map›Paper›PMID 29670671›Full record

ArticleDisease markers2018

The Association between Glomerular Filtration Rate Estimated Using Different Equations and Mortality in the Japanese Community-Based Population: The Yamagata (Takahata) Study.

Asami Kabasawa, Tsuneo Konta, Natsuko Suzuki, Keita Kamei, Sayumi Watanabe, Akira Araumi, Eri Matsuki, Soichiro Kon, Midori Oyama, Kazunobu Ichikawa and 5 more

Open access · hybridAbstract read
In one paragraph

Article in Disease markers, 2018. 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
0.3field-weighted citation impact, top 44% 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, 5 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

15 authors at 1 institution in 1 country.

Asami KabasawaDepartment of Cardiology, Pulmonology, and Nephrology, Yamagata University School of Medicine, Yamagata, Japan.
Tsuneo KontaDepartment of Cardiology, Pulmonology, and Nephrology, Yamagata University School of Medicine, Yamagata, Japan.ORCID 0000-0001-7681-6469
Natsuko SuzukiDepartment of Cardiology, Pulmonology, and Nephrology, Yamagata University School of Medicine, Yamagata, Japan.
Keita KameiDepartment of Cardiology, Pulmonology, and Nephrology, Yamagata University School of Medicine, Yamagata, Japan.
Sayumi WatanabeDepartment of Cardiology, Pulmonology, and Nephrology, Yamagata University School of Medicine, Yamagata, Japan.
Akira AraumiDepartment of Cardiology, Pulmonology, and Nephrology, Yamagata University School of Medicine, Yamagata, Japan.
Eri MatsukiDepartment of Cardiology, Pulmonology, and Nephrology, Yamagata University School of Medicine, Yamagata, Japan.
Soichiro KonDepartment of Cardiology, Pulmonology, and Nephrology, Yamagata University School of Medicine, Yamagata, Japan.
Midori OyamaDepartment of Cardiology, Pulmonology, and Nephrology, Yamagata University School of Medicine, Yamagata, Japan.
Kazunobu IchikawaDepartment of Cardiology, Pulmonology, and Nephrology, Yamagata University School of Medicine, Yamagata, Japan.
Kenichi IshizawaGlobal Center of Excellence, Yamagata University School of Medicine, Yamagata, Japan.
Yoshiyuki UenoGlobal Center of Excellence, Yamagata University School of Medicine, Yamagata, Japan.ORCID 0000-0001-5623-4250
Hidetoshi YamashitaGlobal Center of Excellence, Yamagata University School of Medicine, Yamagata, Japan.
Takamasa KayamaGlobal Center of Excellence, Yamagata University School of Medicine, Yamagata, Japan.
Isao KubotaDepartment of Cardiology, Pulmonology, and Nephrology, Yamagata University School of Medicine, Yamagata, Japan.
Yamagata University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo evaluate renal function, the indices of estimated glomerular filtration rate (eGFR) obtained using several equations, including the Japanese versions of the serum creatinine-based MDRD equation (eGFRcreat), Chronic Kidney Disease Epidemiology Collaboration equation (eGFR-EPI), and serum cystatin C-based equation (eGFRcys), are utilized. This study prospectively examined the association between these eGFR values and all-cause mortality during a 12-year observational period in a community-based population. METHODS AND

resultsThe subjects of this study were 1312 participants undergoing a health checkup, aged ≥40 years. In the total population, the mean eGFR values (mL·min

conclusionsThis study revealed that eGFRcys showed lower values than eGFRcreat and eGFR-EPI and was significantly associated with all-cause mortality in the Japanese community-based population.

Indexed as

Glomerular Filtration RateMortalityAgedBiomarkersCystatinsFemaleHumansIndependent LivingJapanMaleMiddle AgedRenal Insufficiency, ChronicBiomarkersCystatins

Identifiers

PMID29670671
PMCPMC5836306
OpenAlexW2792077309

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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.