Evidence map›Paper›PMID 35263738›Full record

ArticleAmerican journal of nephrology2022

Impact of Glucose Tolerance and Its Change on Incident Proteinuria: Analysis of a Nationwide Population-Based Dataset.

Yuta Suzuki, Hidehiro Kaneko, Akira Okada, Hidetaka Itoh, Katsuhito Fujiu, Nobuaki Michihata, Taisuke Jo, Norifumi Takeda, Hiroyuki Morita, Satoko Yamaguchi and 8 more

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

Article 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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

6 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Association of cancer with the risk of developing hypertension.European heart journal. Quality of care & clinical outcomes · 2024
    Observational
  5. 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

18 authors at 3 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.
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 Science, Graduate School of Medical Sciences, Kitasato University, Kanagawa, Japan.
Junya AkoDepartment of Cardiovascular Medicine, Kitasato University School of Medicine, Sagamihara, 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 · JPSaga University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAlthough diabetes mellitus (DM) increases the risk of proteinuria, the relationship between prediabetes and proteinuria remains not fully understood. Further, whether the change in glucose is associated with the risk for proteinuria is unknown.

methodsThis was a retrospective cohort study that included 1,849,074 participants (median age, 45 years; 59.3% men). No participants were taking glucose-lowering medications, and none had positive proteinuria at the initial health check-up. Each participant was categorized into three groups: normal (hemoglobin A1c [HbA1c] of <5.7%, n = 1,563,121), prediabetes (HbA1c of 5.7-6.4%, n = 253,490), and DM (HbA1c of ≥6.5%, n = 32,463) groups. We investigated the association between each HbA1c category and incident proteinuria using Cox proportional hazards models. We analyzed the association between the annual change in HbA1c and the risk for proteinuria.

resultsA total of 65,954 participants developed proteinuria during the observation period. Not only DM (hazard ratio [HR]: 2.15, 95% confidence interval [CI]: 2.07-2.24) but also prediabetes (HR: 1.14, 95% CI: 1.12-1.17) was associated with a greater risk for proteinuria. The relative risk reduction for proteinuria that was associated with prediabetes and DM was 12.3% and 53.5%, respectively. An annual increase in HbA1c was associated with a greater risk for proteinuria. This association was more pronounced in participants having prediabetes.

conclusionNot only DM but also prediabetes increased the risk for proteinuria. The influence of change in HbA1c on incident proteinuria was pronounced in people with prediabetes. Optimizing glucose would provide more benefit to individuals having prediabetes for proteinuria prevention.

Indexed as

Diabetes MellitusPrediabetic StateBlood GlucoseFemaleGlycated HemoglobinHumansMaleMiddle AgedProteinuriaRetrospective StudiesRisk FactorsBlood GlucoseGlycated HemoglobinDiabetes mellitusEpidemiologyPrediabetesProteinuria

Identifiers

PMID35263738
PMCPMC9216314
OpenAlexW4220949241

What OpenQuestion 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 OpenQuestion graph.