Evidence map›Paper›PMID 33532623›Full record

ArticleEndocrinology, diabetes & metabolism2021

A comparison in the ability to detect diabetic retinopathy between fasting plasma glucose and HbA1c levels in a longitudinal study.

Yumi Matsushita, Tetsuji Yokoyama, Norio Takeda, Naotatsu Katai, Natsuyo Yoshida-Hata, Yosuke Nakamura, Shuichiro Yamamoto, Mitsuhiko Noda, Tetsuya Mizoue, Toru Nakagawa

Open access · goldAbstract readComparative Study
In one paragraph

Article in Endocrinology, diabetes & metabolism, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 27% 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, 7 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

10 authors at 7 institutions in 1 country.

Yumi MatsushitaDepartment of Clinical Research National Center for Global Health and Medicine Tokyo Japan.ORCID 0000-0003-0071-8293
Tetsuji YokoyamaDepartment of Health Promotion National Institute of Public Health Saitama Japan.
Norio TakedaTakeda Eye Clinic Chiba Japan.
Naotatsu KataiDepartment of ophthalmology Shimoda Medical Center Shizuoka Japan.
Natsuyo Yoshida-HataHikaru Eye Clinic Saitama Japan.
Yosuke NakamuraDepartment of ophthalmology Kimitsu Chuo Hospital Chiba Japan.
Shuichiro YamamotoHitachi, Ltd. Hitachi Health Care Center Ibaraki Japan.
Mitsuhiko NodaDepartment of Diabetes, Metabolism and Endocrinology Ichikawa Hospital International University of Health and Welfare Chiba Japan.
Tetsuya MizoueDepartment of Epidemiology and Prevention National Center for Global Health and Medicine Tokyo Japan.
Toru NakagawaHitachi, Ltd. Hitachi Health Care Center Ibaraki Japan.
Hitachi (Japan) · JPMinamiaoyama Eye Clinic · JPNational Center for Global Health and Medicine · JPChiba University Hospital · JPInternational University of Health and Welfare · JPNational Institute of Public Health · JPShizuoka Medical Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: The relationship between HbA1c and diabetic retinopathy is expected to differ between different races. In this study, we verified which of HbA1c and fasting plasma glucose (FPG) is more effective for detecting the diabetic retinopathy longitudinally in a Japanese population. Materials and Methods: The study subjects underwent health examinations twice (including eye test and questionnaire of lifestyle and health) in 2008-2009 (baseline) and in 2012-2013 (4-year follow-up). Both non-DM and DM patients at baseline were included as the participants. Of these participants, who had not been diagnosed with retinopathy at the baseline survey (n = 2427; 2150 men and 277 women) had eye fundus photographs taken four years later (follow-up survey). The odds ratios of incidence of retinopathy according to the eight groups of FPG and HbA1c were estimated using multiple logistic regression analysis adjusted for sex and age. Receiver operator characteristic analysis was used to evaluate each value associated with the presence or absence of retinopathy. Results: The odds ratios (95% confidence intervals) of incidence of retinopathy by HbA1c level categories, in ascending order, were 1.0 (ref.), 5.66 (1.14-28.26), 1.69 (0.24-12.04), 3.03 (0.50-18.28), 1.04 (0.09-11.59), 4.73 (0.78-28.69), 4.12 (0.74-22.85) and 24.47 (5.61-106.75). For both FPG and HbA1c levels, the odds ratio for the development of retinopathy increased linearly with the increases in the levels FPG and HbA1c, and no clear threshold was observed. The AUC values (SE) for FPG and HbA1c were almost the same, at 0.750 (0.046) and 0.732 (0.048). Conclusions: It was clarified that the higher the level of FPG and HbA1c was, the higher the incidence of retinopathy after 4 years was. There was no clear threshold. The detection ability of the incidence of retinopathy was almost the same between FPG and HbA1c, suggesting it is possible to detect the risk of retinopathy by HbA1c only.

Indexed as

Blood GlucoseGlycated HemoglobinAsian PeopleBiomarkersDiabetic RetinopathyFastingFemaleFollow-Up StudiesHumansLogistic ModelsLongitudinal StudiesMaleRiskROC CurveBiomarkersBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanfasting plasma glucoseHbA1clongitudinal studyretinopathy

Identifiers

PMID33532623
PMCPMC7831218
OpenAlexW3096539538

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Registered trials

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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.