Evidence map›Paper›PMID 40053736›Full record

ArticleJMIR diabetes2025

Correction: Glycemic Control, Renal Progression, and Use of Telemedicine Phone Consultations Among Japanese Patients With Type 2 Diabetes Mellitus During the COVID-19 Pandemic: Retrospective Cohort Study.

Akiko Sankoda, Yugo Nagae, Kayo Waki, Wei Thing Sze, Koji Oba, Makiko Mieno, Masaomi Nangaku, Toshimasa Yamauchi, Kazuhiko Ohe

Abstract readPublished Erratum
PubMed Full text at PMC Publisher
In one paragraph

Article in JMIR diabetes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Akiko Sankoda *Department of Planning, Information and Management, The University of Tokyo Hospital, Tokyo, Japan.ORCID https://orcid.org/0000-0002-2578-066X
Yugo Nagae *Department of Planning, Information and Management, The University of Tokyo Hospital, Tokyo, Japan.ORCID https://orcid.org/0000-0002-0458-0781
Kayo WakiDepartment of Planning, Information and Management, The University of Tokyo Hospital, Tokyo, Japan.ORCID https://orcid.org/0000-0003-0046-2523
Wei Thing SzeDepartment of Planning, Information and Management, The University of Tokyo Hospital, Tokyo, Japan.ORCID https://orcid.org/0000-0003-1054-6886
Koji ObaDepartment of Biostatistics, School of Public Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID https://orcid.org/0000-0001-5468-8988
Makiko MienoDepartment of Medical Informatics, Center for Information, Jichi Medical University, Shimotsuke, Japan.ORCID https://orcid.org/0000-0002-3510-9941
Masaomi NangakuDivision of Nephrology and Endocrinology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID https://orcid.org/0000-0001-7401-2934
Toshimasa YamauchiDepartment of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID https://orcid.org/0000-0003-4827-6404
Kazuhiko OheDepartment of Planning, Information and Management, The University of Tokyo Hospital, Tokyo, Japan.ORCID https://orcid.org/0000-0002-4296-9536

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

[This corrects the article DOI: 10.2196/42607.].

Identifiers

PMID40053736
PMCPMC11926435

What OpenQuestion holds

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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.