Evidence map›Paper›PMID 29590199›Full record

ArticlePloS one2018

The urine albumin-creatinine ratio is a predictor for incident long-term care in a general population.

Shuko Takahashi, Fumitaka Tanaka, Yuki Yonekura, Kozo Tanno, Masaki Ohsawa, Kiyomi Sakata, Makoto Koshiyama, Akira Okayama, Motoyuki Nakamura

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 28% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Risk Factors of Long-Term Care Insurance Certification in Japan: A Scoping Review.International journal of environmental research and public health · 2022
    Article
  5. Article
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  7. Observational
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 3 institutions in 1 country.

Shuko TakahashiDivision of Cardioangiology, Department of Internal Medicine, Iwate Medical University, Uchimaru, Morioka, Iwate, Japan.ORCID 0000-0002-7384-1113
Fumitaka TanakaDivision of Cardioangiology, Department of Internal Medicine, Iwate Medical University, Uchimaru, Morioka, Iwate, Japan.
Yuki YonekuraSt. Luke's International University, Akashi-cho, Chuo-ku, Tokyo, Japan.
Kozo TannoDepartment of Hygiene and Preventive Medicine, School of Medicine, Iwate Medical University, Nishitokuta, Yahaba-cho, Shiwa-Gun, Iwate, Japan.
Masaki OhsawaMorioka Tsunagi Onsen Hospital, Tsunagi, Morioka, Iwate, Japan.
Kiyomi SakataDepartment of Hygiene and Preventive Medicine, School of Medicine, Iwate Medical University, Nishitokuta, Yahaba-cho, Shiwa-Gun, Iwate, Japan.
Makoto KoshiyamaIwate Health Service Association, Kita-Iioka, Morioka, Iwate, Japan.
Akira OkayamaResearch Institute of Strategy for Prevention, Arakawa, Chuo-ku, Tokyo, Japan.
Motoyuki NakamuraDivision of Cardioangiology, Department of Internal Medicine, Iwate Medical University, Uchimaru, Morioka, Iwate, Japan.
Iwate Medical University · JPSt. Luke's International University · JPTsurugi Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral types of cardiovascular diseases (CVDs) impair the physical and mental status. The purpose of this study was to assess the predictive ability of several cardiovascular biomarkers for identifying the incidence of disability as future recipients of public long-term care (LTC) service.

methodsThe subjects of this study were community-dwelling elderly individuals ≥ 65 years of age without a history of CVD (n = 5,755; mean age, 71 years). The endpoint of this study was official certification as a recipient of LTC. The cohort was divided into quartiles (Qs) based on the levels of three CVD biomarkers: the urinary albumin-creatinine ratio (UACR), plasma B-type natriuretic peptide concentration (BNP), and serum high-sensitivity C-reactive protein concentration (hsCRP). A time-dependent Cox proportional hazard model was used to determine the multi-adjusted relative hazard ratios (HRs) for incident LTC among the quartiles of each biomarker.

resultsDuring the follow-up (mean 5.6 years), 710 subjects were authorized as recipients of LTC. The HR was only significantly increased in the higher Qs of UACR (Q3, p < 0.01; Q4, p < 0.001). However, other biomarkers were not significantly associated with the endpoint. The risk predictive performance for the incidence of LTC as evaluated by an essential model (i.e. age- and sex-adjusted) was significantly improved by incorporating the UACR (net reclassification improvement = 0.084, p < 0.01; integrated discrimination improvement = 0.0018, p < 0.01).

conclusionsThese results suggest that an increased UACR is useful for predicting physical and cognitive dysfunction in an elderly general population.

Indexed as

AgedAlbuminsBiomarkersCardiovascular DiseasesCohort StudiesCreatinineFemaleHumansIncidenceJapanLong-Term CareMaleRisk FactorsUrinalysisAlbuminsBiomarkersCreatinine

Identifiers

PMID29590199
PMCPMC5874057
OpenAlexW2794937205

What OpenQuestion holds

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LicenceCC BY
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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.