Evidence map›Paper›PMID 35259741›Full record

Observational studyAmerican journal of nephrology2022

Change in Cardiovascular Health Metrics and Risk for Proteinuria Development: Analysis of a Nationwide Population-Based Database.

Yuta Suzuki, Hidehiro Kaneko, Akira Okada, Hidetaka Itoh, Kojiro Morita, Katsuhito Fujiu, Nobuaki Michihata, Taisuke Jo, Norifumi Takeda, Hiroyuki Morita and 12 more

Open access · hybridAbstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in American journal of nephrology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 13% 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, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. The association of BP with cardiovascular outcomes in patients with dipstick proteinuria and preserved kidney function.Hypertension research : official journal of the Japanese Society of Hypertension · 2023
    Article
  4. Article
  5. Article
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

22 authors at 5 institutions in 1 country.

Yuta SuzukiThe Department of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan.
Hidehiro KanekoThe Department of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan.
Akira OkadaDepartment of Prevention of Diabetes and Lifestyle-Related Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Hidetaka ItohThe Department of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan.
Kojiro MoritaGlobal Nursing Research Center, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Katsuhito FujiuThe Department of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan.
Nobuaki MichihataThe Department of Health Services Research, The University of Tokyo, Tokyo, Japan.
Taisuke JoThe Department of Health Services Research, The University of Tokyo, Tokyo, Japan.
Norifumi TakedaThe Department of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan.
Hiroyuki MoritaThe Department of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan.
Satoko YamaguchiDepartment of Prevention of Diabetes and Lifestyle-Related Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Kentaro KamiyaDepartment of Rehabilitation, School of Allied Health Sciences, Kitasato University, Kanagawa, Japan.
Atsuhiko MatsunagaDepartment of Rehabilitation, School of Allied Health Sciences, Kitasato University, Kanagawa, Japan.
Junya AkoDepartment of Cardiovascular Medicine, Kitasato University School of Medicine, Sagamihara, Japan.
Akira FukuiDivision of Nephrology and Hypertension, Department of Internal Medicine, Jikei University School of Medicine, Tokyo, Japan.
Akira NishiyamaDepartment of Pharmacology, Faculty of Medicine, Kagawa University, Kagawa, Japan.
Takashi YokooDivision of Nephrology and Hypertension, Department of Internal Medicine, Jikei University School of Medicine, Tokyo, Japan.
Koichi NodeDepartment of Cardiovascular Medicine, Saga University, Saga, Japan.
Toshimasa YamauchiDepartment of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Masaomi NangakuDivision of Nephrology and Endocrinology, The University of Tokyo Graduate School of Medicine, Tokyo, Japan.
Hideo YasunagaThe Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, Tokyo, Japan.
Issei KomuroThe Department of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan.
The University of Tokyo · JPKitasato University · JPJikei University School of Medicine · JPKagawa University · JPSaga University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionEvidence is lacking regarding the association between cardiovascular health (CVH) metrics and the risk for proteinuria.

methodsWe performed this observational cohort study including 865,087 participants (median age, 46 years, 60.7% men) with negative proteinuria at the initial health check-up, who underwent repeated health check-ups within 4 years. Ideal CVH metrics included nonsmoking, body mass index <25 kg/m2, physical activity at goal, eating breakfast, blood pressure <120/80 mm Hg, fasting plasma glucose <100 mg/dL, and total cholesterol <200 mg/dL. The primary outcome was incident proteinuria, defined as ≥1 + on the urine dipstick test.

resultsParticipants were categorized as having low CVH metrics defined as having 0-2 ideal CVH metrics (n = 84,439), middle CVH metrics defined as having 3-4 ideal CVH metrics (n = 335,773), and high CVH metrics defined as having 5-7 ideal CVH metrics (n = 444,875). Compared with low CVH metrics, middle CVH metrics (odds ratio (OR): 0.61, 95% CI: 0.59-0.63) and high CVH metrics (OR: 0.45, 95% CI: 0.43-0.46) were associated with a lower risk of proteinuria. The OR of a one-point increase in the ideal number of CVH metrics was 0.83 (95% CI: 0.82-0.83). All CVH metrics components except for ideal total cholesterol were associated with a decreased risk of proteinuria. A one-point improvement in the number of ideal CVH metrics at 1 year after the initial health check-up was associated with a decreased incidence of proteinuria (OR: 0.90, 95% CI: 0.89-0.92).

conclusionNot only maintaining better CVH metrics but also improving CVH metrics would prevent developing proteinuria in a general population.

Indexed as

Cardiovascular DiseasesCardiovascular SystemBlood PressureFemaleHealth StatusHumansMaleMiddle AgedProteinuriaQuality Indicators, Health CareRisk FactorsCardiovascular health metricsEpidemiologyProteinuria

Identifiers

PMID35259741
PMCPMC9116600
OpenAlexW4220921898

What Socratic holds

Textmetadata
Read underepoch 390

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 Socratic graph.