Unique ID issued by UMIN | UMIN000038567 |
---|---|
Receipt number | R000043955 |
Scientific Title | Suppressive effects of ingested tomato-derived dietary fibers on postprandial blood glucose: a systematic review with meta-analysis. |
Date of disclosure of the study information | 2021/12/31 |
Last modified on | 2023/01/11 10:46:31 |
Suppressive effects of ingested tomato-derived dietary fibers on postprandial blood glucose: a systematic review with meta-analysis.
Suppressive effects of ingested tomato-derived dietary fibers on postprandial blood glucose.
Suppressive effects of ingested tomato-derived dietary fibers on postprandial blood glucose: a systematic review with meta-analysis.
Suppressive effects of ingested tomato-derived dietary fibers on postprandial blood glucose.
Japan |
We will include people with fasting blood glucose levels of less than 126 mg / dL and not suffering from any diseases. We will exclude minors, pregnant women, those planning a pregnancy, and lactating women.
Adult |
Others
NO
The objective of this review is to assess the suppressive effects on postprandial blood glucose by ingestion of tomato-derived dietary fibers.
Efficacy
Others
Others
Not applicable
We will evaluate postprandial blood glucose levels and AUC (areas calculated based on the change of blood glucose levels).
Others,meta-analysis etc
20 | years-old | <= |
Not applicable |
Male and Female
(Study design)
We will include randomized controlled trials (RCT), quasi randomized controlled trials (qRCT), non-randomized controlled trials (nonRCT) and crossover trials.
We will include scientific papers.
(PICO)
Participant:
We will include people with fasting blood glucose levels of less than 126 mg / dL and not suffering from any diseases. We will exclude minors, pregnant women, those planning a pregnancy, and lactating women.
Intervention:
We define oral intake of test food containing tomato-derived dietary fiber as an intervention.
Comparison:
We define oral intake of test food with no or low tomato-derived dietary fibers as controls. We also define maintaining daily eating habits as controls.
Outcome measurement:
We will evaluate postprandial blood glucose levels and AUC (areas calculated based on the change of blood glucose levels).
(Language)
Eligibility is not restricted by language.
We will exclude proceedings and unpublished studies which don't give us enough research details.
40
1st name | Takuro |
Middle name | |
Last name | Inoue |
KAGOME CO., LTD.
Innovation Division
329-2762
17 Nishitomiyama, Nasushiobara-shi, Tochigi
0287-36-2935
g167_0@kagome.co.jp
1st name | Takuro |
Middle name | |
Last name | Inoue |
KAGOME CO., LTD.
Innovation Division
329-2762
17 Nishitomiyama, Nasushiobara-shi, Tochigi
0287-36-2935
g167_0@kagome.co.jp
KAGOME CO., LTD.
None
Self funding
Review Team
Mr. Kazutaka Yoshida, Innovation Division, KAGOME Co., Ltd.
Mr. Shingo Takahashi, Innovation Division, KAGOME Co., Ltd.
Ms. Ayaka Tsutsumi, Innovation Division, KAGOME Co., Ltd.
-
Nihonbashi-Hamacho F Tower 3-21-1, Nihonbashi-Hamacho, Chuo-ku, Tokyo
03-5623-8501
toshika_okuni@kagome.co.jp
NO
2021 | Year | 12 | Month | 31 | Day |
Unpublished
Main results already published
2019 | Year | 11 | Month | 11 | Day |
2019 | Year | 11 | Month | 11 | Day |
2019 | Year | 11 | Month | 13 | Day |
2021 | Year | 12 | Month | 31 | Day |
(Searches)
Two authors (e.g., ST and AT) will search 4 databases for studies from the beginning of each database to the search date.
(Data extraction)
Two authors (e.g., ST and AT) will independently apply all criteria to the full text of articles that have passed the first eligibility screening. Then they will independently extract data from the included studies and cross-check the data.
(Risk of bias assessment)
In order to ensure that variation is not caused by systematic errors in the study or execution, two authors (e.g., ST and AT) will independently assess the quality of articles. A full quality appraisal of these papers will be made using modified check list (13 items) of Cochrane Handbook for interventional trials. We will exclude papers with high risk of bias.
Disagreement and uncertainties will be resolved by discussion with another author (e.g., TI). In addition, we will calculate agreement rate and kappa coefficient.
(Inconsistency evaluation)
We will evaluate inconsistency of evidence according to the value of I square in a meta-analysis.
(Imprecision assessment)
We will assess imprecision based on the total number of participants in all included studies.
(Meta-analysis)
Only when we will not find heterogeneity in RCT, qRCT, nonRCT, and crossover trials, KY will conduct a meta-analysis. If we will find missing data, we will make contact with the author to obtain the data.
We will assess heterogeneity according to the value of I square in Forest plot and assess publication bias using Funnel plot.
2019 | Year | 11 | Month | 13 | Day |
2023 | Year | 01 | Month | 11 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000043955