Evidence map›Paper›PMID 31139526›Full record

GuidelineDiabetology international2019

Recommended configuration for personal health records by standardized data item sets for diabetes mellitus and associated chronic diseases: a report from a collaborative initiative by six Japanese associations.

Naoki Nakashima, Mitsuhiko Noda, Kohjiro Ueki, Tatsuhiko Koga, Michio Hayashi, Katsuya Yamazaki, Tomoko Nakagami, Makoto Ohara, Akira Gochi, Yasushi Matsumura and 10 more

Abstract readPractice Guideline
In one paragraph

Guideline in Diabetology international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

20 authors.

Naoki Nakashima1Medical Information Center, Kyushu University Hospital, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582 Japan.
Mitsuhiko Noda2Saitama Medical University, Saitama, Japan.
Kohjiro Ueki3National Center for Global Health and Medicine, Tokyo, Japan.
Tatsuhiko KogaHara Doi Hospital, Fukuoka, Japan.
Michio Hayashi5NTT Medical Center Tokyo, Tokyo, Japan.
Katsuya YamazakiTsukuba Diabetic Center Kawai Clinic, Ibaraki, Japan.
Tomoko Nakagami7Tokyo Women's Medical University, Tokyo, Japan.
Makoto Ohara8University of Tsukuba, Ibaraki, Japan.
Akira GochiIbara City Hospital, Okayama, Japan.
Yasushi Matsumura10Osaka University, Osaka, Japan.
Michio Kimura11Hamamatsu University School of Medicine, Shizuoka, Japan.
Kazuhiko Ohe12University of Tokyo, Tokyo, Japan.
Dongchon Kang1Medical Information Center, Kyushu University Hospital, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582 Japan.
Yoshiyuki Toya13Yokohama City University, Kanagawa, Japan.
Kunihiro Yamagata8University of Tsukuba, Ibaraki, Japan.
Koutaro Yokote14Chiba University, Chiba, Japan.
Shunya Ikeda15International University of Health and Welfare, Chiba, Japan.
Naohiro Mitsutake16Institute for Health Economics and Policy, Tokyo, Japan.
Ryuichi YamamotoMedical Information System Development Center, Tokyo, Japan.
Yukio Tanizawa18Yamaguchi University, Yamaguchi, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is expected that a large amount of data related to diabetes and other chronic diseases will be generated. However, databases constructed without standardized data item sets can be limited in their usefulness. To address this, the Collaborative Committee of Clinical Informatization in Diabetes Mellitus was established in 2011 by the Japan Diabetes Society and Japan Association for Medical Informatics. The committee has developed core item sets and self-management item sets for diabetes mellitus, hypertension, dyslipidemia, and chronic kidney disease in collaboration with the Japanese Society of Hypertension, Japan Atherosclerosis Society, Japanese Society of Nephrology, and Japanese Society of Laboratory Medicine, as well as a mapping table that aligns the self-management item sets with the Japanese standardized codes for laboratory testing. The committee also determined detailed specifications for implementing the four self-management item sets in personal health record applications to facilitate risk stratification, the generation of alerts using information and communications technology systems, the avoidance of data input errors, and the generation of reminders to input the self-management item set data. The approach developed by the committee may be useful for combining databases for various purposes (such as for clinical studies, patient education, and electronic medical record systems) and for facilitating collaboration between personal health record administrators.

Indexed as

Core item setsLifestyle related diseasesPersonal health record

Identifiers

PMID31139526
PMCPMC6506512

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.