Evidence map›Paper›PMID 33536720›Full record

ArticleJournal of clinical biochemistry and nutrition2021

Validation of computer software to estimate dietary intake among patients with type 2 diabetes.

Sayori Wada, Eru Yamamoto, Yukiko Kobayashi, Manami Otsuki, Chizuko Takada, Wataru Aoi, Masami Okagaki, Hiroko Neriya, Masahide Hamaguchi, Muhei Tanaka and 2 more

Abstract read
In one paragraph

Article in Journal of clinical biochemistry and nutrition, 2021. 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
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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

12 authors.

Sayori WadaDivision of Applied Life Sciences, Graduate School of Life and Environmental Sciences, Kyoto Prefectural University, 1-5 Shimogamo, Hangi-cho, Sakyo-ku, Kyoto 606-8522, Japan.
Eru YamamotoDepartment of Food Sciences and Nutritional Health, Faculty of Life and Environmental Sciences, Kyoto Prefectural University, 1-5 Shimogamo, Hangi-cho, Sakyo-ku, Kyoto 606-8522, Japan.
Yukiko KobayashiDivision of Applied Life Sciences, Graduate School of Life and Environmental Sciences, Kyoto Prefectural University, 1-5 Shimogamo, Hangi-cho, Sakyo-ku, Kyoto 606-8522, Japan.
Manami OtsukiDepartment of Clinical Nutrition, University Hospital, Kyoto Prefectural University of Medicine, Kajii-cho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto 602-8566, Japan.
Chizuko TakadaDepartment of Clinical Nutrition, University Hospital, Kyoto Prefectural University of Medicine, Kajii-cho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto 602-8566, Japan.
Wataru AoiDivision of Applied Life Sciences, Graduate School of Life and Environmental Sciences, Kyoto Prefectural University, 1-5 Shimogamo, Hangi-cho, Sakyo-ku, Kyoto 606-8522, Japan.
Masami OkagakiDepartment of Clinical Nutrition, University Hospital, Kyoto Prefectural University of Medicine, Kajii-cho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto 602-8566, Japan.
Hiroko NeriyaDepartment of Clinical Nutrition, University Hospital, Kyoto Prefectural University of Medicine, Kajii-cho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto 602-8566, Japan.
Masahide HamaguchiDepartment of Endocrinology and Metabolism, Kyoto Prefectural University of Medicine Graduate School of Medical Science, Kajii-cho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto 602-8566, Japan.
Muhei TanakaDepartment of Endocrinology and Metabolism, Kyoto Prefectural University of Medicine Graduate School of Medical Science, Kajii-cho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto 602-8566, Japan.
Michiaki FukuiDepartment of Endocrinology and Metabolism, Kyoto Prefectural University of Medicine Graduate School of Medical Science, Kajii-cho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto 602-8566, Japan.
Akane HigashiDivision of Applied Life Sciences, Graduate School of Life and Environmental Sciences, Kyoto Prefectural University, 1-5 Shimogamo, Hangi-cho, Sakyo-ku, Kyoto 606-8522, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tailored nutritional guidance by a registered dietitian is necessary for feasible, practical application of nutrition therapy. In order to reduce the requirement for estimation by a dietitian and to increase the time available for practical advice, we developed and validated computer software for estimating dietary intake among patients with type 2 diabetes. The study enrolled 46 patients with type 2 diabetes, recruited from an outpatient clinic in 2015. We used the computer software "Syokuseikatsu Shindan System" (SSS; Nissha, Kyoto, Japan). SSS allows the user to choose pictures of dishes and the portions he/she has consumed for each meal. The one-day dietary intake estimations for SSS were validated against a reference estimation of 24-h dietary recall by a registered dietitian. The mean carbohydrate intake as assessed by SSS and 24-h recall was 210.6 ± 55.1 and 215.5 ± 52.9 g/day, with a positive correlation (

Indexed as

computerised assessmentdietary intakenutrition therapytype 2 diabetes

Identifiers

PMID33536720
PMCPMC7844662

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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.