Evidence mapPaperPMID 40144744Full record

ArticleGHM open2024

Trends in prescription days and intervals between physician visits and their impact on glycemic control before and during the COVID-19 pandemic in Japan.

Susumu Yagome, Mitsuru Ohsugi, Takehiro Sugiyama, Ryotaro Bouchi, Atsushi Goto, Kohjiro Ueki

Abstract read
In one paragraph

Article in GHM open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
field-weighted citation impact
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

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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

1 citing paper in PubMed.

  1. 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

6 authors.

Susumu Yagome *Department of Health Data Science, Yokohama City University Graduate School of Data Science, Yokohama, Japan.
Mitsuru Ohsugi *Diabetes and Metabolism Information Center, National Center for Global Health and Medicine, Tokyo, Japan.
Takehiro SugiyamaDiabetes and Metabolism Information Center, National Center for Global Health and Medicine, Tokyo, Japan.
Ryotaro BouchiDiabetes and Metabolism Information Center, National Center for Global Health and Medicine, Tokyo, Japan.
Atsushi GotoDepartment of Health Data Science, Yokohama City University Graduate School of Data Science, Yokohama, Japan.
Kohjiro UekiDiabetes and Metabolism Information Center, National Center for Global Health and Medicine, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We assessed trends in glycemic control among individuals with diabetes before and during the coronavirus disease 2019 pandemic. We used two databases to investigate changes in prescription days and the interval between physician visits and their impact on glycemic control among individuals with diabetes in Japan between 2017 and 2020. The analysis using the JMDC database indicated that prescription days were extended by approximately 20 days in 2020 compared to other years. The analysis using the Japan diabetes comprehensive database project based on an advanced electronic medical record system database revealed that intervals between physician visits were extended by approximately 7 days in 2020 compared to other years and glycemic control did not materially change in 2020. These results suggest that the prescription days increased with the spread of coronavirus disease 2019 in patients with diabetes, but the impact of the coronavirus disease 2019 pandemic on glycemic control appeared to be small.

Indexed as

coronavirusdiabetesoutpatient

Identifiers

PMID40144744
PMCPMC11933977

What Socratic holds

Textmetadata
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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 Socratic graph.