Evidence map›Paper›PMID 31811705›Full record

ArticleJournal of diabetes investigation2020

Effect of postprandial hyperglycemia at clinic visits on the incidence of retinopathy in patients with type 2 diabetes: An analysis using real-world long-term follow-up data.

Toshiko Takao, Kazuyuki Takahashi, Yoko Yoshida, Akifumi Kushiyama, Yukiko Onishi, Tazu Tahara, Asuka Shimmei, Takako Kikuchi, Machi Suka, Hiroyuki Yanagisawa and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of diabetes investigation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

12 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Fenofibrate and diabetic retinopathy.Medical hypothesis, discovery & innovation ophthalmology journal · 2024
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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

12 authors at 5 institutions in 1 country.

Toshiko TakaoDivision of Diabetes and Metabolism, The Institute for Adult Diseases, Asahi Life Foundation, Tokyo, Japan.ORCID https://orcid.org/0000-0003-1892-4896
Kazuyuki TakahashiDivision of Diabetes and Metabolism, The Institute for Adult Diseases, Asahi Life Foundation, Tokyo, Japan.
Yoko YoshidaDivision of Diabetes and Metabolism, The Institute for Adult Diseases, Asahi Life Foundation, Tokyo, Japan.
Akifumi KushiyamaDepartment of Pharmacotherapy, Meiji Pharmaceutical University, Tokyo, Japan.
Yukiko OnishiDivision of Diabetes and Metabolism, The Institute for Adult Diseases, Asahi Life Foundation, Tokyo, Japan.
Tazu TaharaDivision of Diabetes and Metabolism, The Institute for Adult Diseases, Asahi Life Foundation, Tokyo, Japan.
Asuka ShimmeiDivision of Diabetes and Metabolism, The Institute for Adult Diseases, Asahi Life Foundation, Tokyo, Japan.
Takako KikuchiDivision of Diabetes and Metabolism, The Institute for Adult Diseases, Asahi Life Foundation, Tokyo, Japan.
Machi SukaDepartment of Public Health and Environmental Medicine, The Jikei University School of Medicine, Tokyo, Japan.
Hiroyuki YanagisawaDepartment of Public Health and Environmental Medicine, The Jikei University School of Medicine, Tokyo, Japan.
Yasuhiko IwamotoDepartment of Diabetes and Endocrinology, Shin-yurigaoka General Hospital, Kawasaki, Japan.
Masato KasugaDivision of Diabetes and Metabolism, The Institute for Adult Diseases, Asahi Life Foundation, Tokyo, Japan.
The Institute of Medical Science, Asahi Life Foundation · JPJikei University School of Medicine · JPAkita University · JPMeiji Pharmaceutical University · JPMidorigaoka Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

AIMS/

introductionThere is little evidence on the role of postprandial glycemia in the incidence of diabetic retinopathy (DR) in a real-world setting. We aimed to assess the effect of postprandial hyperglycemia at clinic visits on the incidence of DR in patients with type 2 diabetes, and whether its effect differs depending on glycated hemoglobin (HbA1c) values and age. MATERIALS AND

methodsIntrapersonal mean blood glucose levels at 1-2 h post-breakfast (1-2h-PBBG), post-lunch (1-2 h-PLBG) and both (1-2h-PBLBG) during 2 years from the first visit were used as baseline data. This retrospective cohort study enrolled 487, 323 and 406 patients who had 1-2h-PBLBG, 1-2h-PBBG and 1-2h-PLBG measurements, respectively. These three groups were followed from 1999 up through 2017.

resultsDR occurred in 145, 92 and 126 patients in the 1-2h-PBLBG, 1-2h-PBBG and 1-2h-PLBG groups, respectively. Multivariate Cox regression analysis showed that the mean 1-2h-PBLBG, 1-2h-PBBG and 1-2h-PLBG levels were significant predictors of DR, independent of mean HbA1c. In patients with mean HbA1c <7.0% and those with a baseline age <60 years, the mean 1-2h-PBLBG, 1-2h-PBBG and 1-2h-PLBG levels were significant predictors.

conclusionsPostprandial hyperglycemia at clinic visits might predict the incidence of DR, independent of HbA1c. The effect of postprandial hyperglycemia on DR is obvious in patients with well-controlled HbA1c and in younger patients. Even with the lower HbA1c level, correcting postprandial hyperglycemia is important for preventing DR, especially in middle-aged adults with type 2 diabetes.

Indexed as

Ambulatory CareBlood GlucoseDiabetes Mellitus, Type 2Diabetic RetinopathyFemaleFollow-Up StudiesGlycated HemoglobinHumansHyperglycemiaIncidenceMaleMiddle AgedPostprandial PeriodRetrospective StudiesRisk FactorsBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanDiabetic retinopathyPostprandial hyperglycemiaType 2 diabetes

Identifiers

PMID31811705
PMCPMC7378435
OpenAlexW2992670485

What OpenQuestion holds

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LicenceCC BY-NC
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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.