Evidence map›Paper›PMID 29934666›Full record

ArticleClinical and experimental nephrology2018

Trace proteinuria by dipstick screening is associated with metabolic syndrome, hypertension, and diabetes.

Rieko Okada, Yoshinari Yasuda, Kazuyo Tsushita, Kenji Wakai, Nobuyuki Hamajima, Seiichi Matsuo

Abstract read
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In one paragraph

Article in Clinical and experimental nephrology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

13 citing papers in PubMed, 17 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 2 institutions in 1 country.

Rieko OkadaDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan. rieokada@med.nagoya-u.ac.jp.ORCID http://orcid.org/0000-0002-6206-2501
Yoshinari YasudaDepartment of Nephrology, Internal Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Kazuyo TsushitaComprehensive Health Science Center, Aichi Health Promotion Foundation, Nagoya, Aichi, Japan.
Kenji WakaiDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan.
Nobuyuki HamajimaDepartment of Health Care Administration, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Seiichi MatsuoDepartment of Nephrology, Internal Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Nagoya University · JPAichi Health Promotion Foundation · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe purpose of this study is to determine the association of dipstick-determined trace proteinuria with metabolic syndrome (MetS) and its components in each age, gender, and eGFR category among a large general population.

methodsA total of 270,190 people (102,223 men and 167,967 women) aged 40-74 years were included. Subjects were categorized as having negative, trace, and positive proteinuria by the dipstick method.

resultsThe prevalence of MetS increased with increasing levels of proteinuria in any estimated glomerular filtration rate (eGFR) category (odds ratios for MetS relative to negative proteinuria: 1.22, 1.23, and 1.25 for trace proteinuria, and 2.19, 1.81, and 1.80 for positive proteinuria among subjects with eGFR of ≥ 90, 60-89, and 45-59 ml/min/1.73 m

conclusionSubjects with dipstick-determined trace proteinuria showed intermediate risk of having MetS, hypertension, and diabetes between negative and positive proteinuria in any eGFR category in a large general population. Thus, MetS components should be checked for subjects with trace proteinuria even in those with normal eGFR for the early prevention of cardiovascular diseases.

Indexed as

AdultAgedComorbidityDiabetes MellitusDyslipidemiasFemaleGlomerular Filtration RateHumansHypertensionMaleMetabolic SyndromeMiddle AgedObesity, AbdominalPrevalenceProteinuriaUrinalysisDiabetesHypertensionMetabolic syndromeProteinuria

Identifiers

PMID29934666
OpenAlexW2809566818

What OpenQuestion holds

Textmetadata
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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.