Evidence map›Paper›PMID 30136448›Full record

ArticleJournal of diabetes investigation2019

Understanding of antidiabetic medication is associated with blood glucose in patients with type 2 diabetes: At baseline date of the KAMOGAWA-DM cohort study.

Ryosuke Sakai, Yoshitaka Hashimoto, Emi Ushigome, Takuro Okamura, Masahide Hamaguchi, Masahiro Yamazaki, Yohei Oda, Michiaki Fukui

Open access · goldAbstract read
In one paragraph

Article in Journal of diabetes investigation, 2019. 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 25% 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, 10 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

8 authors at 1 institution in 1 country.

Ryosuke SakaiDepartment of Endocrinology and Metabolism, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.ORCID http://orcid.org/0000-0002-0656-8938
Yoshitaka HashimotoDepartment of Endocrinology and Metabolism, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Emi UshigomeDepartment of Endocrinology and Metabolism, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Takuro OkamuraDepartment of Endocrinology and Metabolism, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Masahide HamaguchiDepartment of Endocrinology and Metabolism, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Masahiro YamazakiDepartment of Endocrinology and Metabolism, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Yohei OdaDepartment of Endocrinology and Metabolism, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Michiaki FukuiDepartment of Endocrinology and Metabolism, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Kyoto Prefectural University of Medicine · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

AIMS/

introductionMedication adherence, which is decreased by a poor understanding of medications, has a close association with blood glucose level in patients with type 2 diabetes. However, a relationship between the understanding of antidiabetic medication and blood glucose level in patients with type 2 diabetes is unclear. Here, we aimed to investigate the relationship between the understanding of antidiabetic medication and blood glucose level in patients with type 2 diabetes. MATERIALS AND

methodsLifestyle factors were evaluated by a questionnaire method, in the present cross-sectional study. Poor understanding of antidiabetic medication (PUAD) was defined as a discrepancy between the answer and the actual use of oral antidiabetic medication on the questionnaire. Poor blood glucose level was defined as hemoglobin A1c ≥8%. To investigate the impact of PUAD on poor blood glucose level, propensity-score matching analysis was used to remove the bias of confounding variables, including sex, age, log (duration of diabetes +1), body mass index, number of oral antidiabetic medications, smoking status, alcohol drinking, exercise, nephropathy, neuropathy, oral antidiabetic medications and insulin.

resultsAmong 479 patients, 40 patients (8.4%) were categorized into the PUAD group. The hemoglobin A1c of patients with PUAD was higher than that of patients without (7.5 [1.3] vs 7.2 [0.9]%, P = 0.041). In the propensity-matched 74 patients, PUAD was associated with poor blood glucose level (odds ratio 5.45, 95% confidence interval 1.54-25.8, P = 0.007) by logistic regression analysis.

conclusionA poor understanding of antidiabetic medication is associated with poor blood glucose level in patients with type 2 diabetes.

Indexed as

AgedBiomarkersBlood GlucoseCohort StudiesCross-Sectional StudiesDiabetes Mellitus, Type 2FemaleFollow-Up StudiesGlycated HemoglobinHumansHypoglycemic AgentsJapanLife StyleMaleMedication AdherencePrognosisBiomarkersBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanHypoglycemic AgentsBlood glucoseMedication adherencePatient medication knowledge

Identifiers

PMID30136448
PMCPMC6400207
OpenAlexW2888141975

What OpenQuestion holds

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LicenceCC BY-NC
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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.