Evidence map›Paper›PMID 30603262›Full record

ArticleDiabetology international2016

Risk of proteinuria among individuals with persistent borderline diabetes: the Saku study.

Yukako Tatsumi, Akiko Morimoto, Fumie Soyano, Tetsuo Shimoda, Naomi Miyamatsu, Yuko Ohno, Shiro Sakaguchi

Open access · bronzeAbstract read
In one paragraph

Article in Diabetology international, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.7field-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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

7 authors at 4 institutions in 1 country.

Yukako Tatsumi1Department of Preventive Medicine and Epidemiology Informatics, National Cerebral and Cardiovascular Center, 5-7-1 Fujishirodai, Suita, Osaka 565-8565 Japan.
Akiko Morimoto3Department of Clinical Nursing, Shiga University of Medical Science, Otsu, Shiga Japan.
Fumie Soyano4Saku Central Hospital, Saku, Nagano Japan.
Tetsuo Shimoda4Saku Central Hospital, Saku, Nagano Japan.
Naomi Miyamatsu3Department of Clinical Nursing, Shiga University of Medical Science, Otsu, Shiga Japan.
Yuko Ohno2Department of Mathematical Health Science, Graduate School of Medicine, Osaka University, Suita, Osaka Japan.
Shiro Sakaguchi4Saku Central Hospital, Saku, Nagano Japan.
Saku Central Hospital · JPShiga University of Medical Science · JPNational Cerebral and Cardiovascular Center · JPOsaka University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the risk of decreased estimated glomerular filtration rate (eGFR) and proteinuria among individuals with borderline diabetes.

methodsThis 5-year cohort study involved 2849 participants aged 30-79 years without diabetes or chronic kidney disease at baseline (April 2008-March 2009). Participants were categorized into two groups-normoglycemia and borderline diabetes-based on the results of a 75-g oral glucose tolerance test at baseline. Participants underwent annual comprehensive medical check-ups during the follow-up period until March 2014. Main outcomes were defined as proteinuria ≥[1+] or eGFR <60 ml/min/1.73 m

resultsDuring the follow-up period, 335 individuals developed eGFR <60 ml/min/1.73 m

conclusionsPersistent borderline diabetes significantly increases the risk of proteinuria.

Indexed as

Borderline diabetesEstimated glomerular filtration rateProspective cohortProteinuria

Identifiers

PMID30603262
PMCPMC6225010
OpenAlexW1254840030

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.