Evidence mapPaperPMID 35135549Full record

Trial reportBMC medicine2022

Effects of personalized diets by prediction of glycemic responses on glycemic control and metabolic health in newly diagnosed T2DM: a randomized dietary intervention pilot trial.

Michal Rein, Orly Ben-Yacov, Anastasia Godneva, Smadar Shilo, Niv Zmora, Dmitry Kolobkov, Noa Cohen-Dolev, Bat-Chen Wolf, Noa Kosower, Maya Lotan-Pompan and 5 more

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01892956 (Observational Study of Blood Glucose Levels and Gut Microbiota in Healthy Individuals), which is not on this map. Cited by 75 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed, 4 pooled it
14.3field-weighted citation impact, top 1% of its field
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.

NCT01892956 completednot on this map

Observational Study of Blood Glucose Levels and Gut Microbiota in Healthy Individuals

TypeobservationalSponsorTel-Aviv Sourasky Medical CenterRan2013 to 2019Enrolled2,000ConditionsNutritional and Metabolic Diseases, Endocrine System Diseases, Disorders of Environmental OriginArmsNutritional intervention
3 · Its place in the literature

Who cites it

75 citing papers in PubMed, 4 syntheses or guidelines pooled it, 129 citations in OpenAlex.

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15 more citing papers are in PubMed but not listed here.

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

15 authors at 3 institutions in 1 country.

Michal Rein *Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, 7610001, Rehovot, Israel.
Orly Ben-Yacov *Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, 7610001, Rehovot, Israel.
Anastasia Godneva *Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, 7610001, Rehovot, Israel.
Smadar ShiloDepartment of Computer Science and Applied Mathematics, Weizmann Institute of Science, 7610001, Rehovot, Israel.
Niv ZmoraImmunology Department, Weizmann Institute of Science, 7610001, Rehovot, Israel.
Dmitry KolobkovDepartment of Computer Science and Applied Mathematics, Weizmann Institute of Science, 7610001, Rehovot, Israel.
Noa Cohen-DolevDepartment of Computer Science and Applied Mathematics, Weizmann Institute of Science, 7610001, Rehovot, Israel.
Bat-Chen WolfDepartment of Computer Science and Applied Mathematics, Weizmann Institute of Science, 7610001, Rehovot, Israel.
Noa KosowerDepartment of Computer Science and Applied Mathematics, Weizmann Institute of Science, 7610001, Rehovot, Israel.
Maya Lotan-PompanDepartment of Computer Science and Applied Mathematics, Weizmann Institute of Science, 7610001, Rehovot, Israel.
Adina WeinbergerDepartment of Computer Science and Applied Mathematics, Weizmann Institute of Science, 7610001, Rehovot, Israel.
Zamir HalpernDigestive Center, Tel Aviv Sourasky Medical Center, 6423906, Tel Aviv, Israel.
Shira Zelber-SagiSchool of Public Health, University of Haifa, 3498838, Haifa, Israel.
Eran ElinavImmunology Department, Weizmann Institute of Science, 7610001, Rehovot, Israel. eran.elinav@weizmann.ac.il.
Eran SegalDepartment of Computer Science and Applied Mathematics, Weizmann Institute of Science, 7610001, Rehovot, Israel. eran.segal@weizmann.ac.il.
Weizmann Institute of Science · ILTel Aviv Sourasky Medical Center · ILUniversity of Haifa · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDietary modifications are crucial for managing newly diagnosed type 2 diabetes mellitus (T2DM) and preventing its health complications, but many patients fail to achieve clinical goals with diet alone. We sought to evaluate the clinical effects of a personalized postprandial-targeting (PPT) diet on glycemic control and metabolic health in individuals with newly diagnosed T2DM as compared to the commonly recommended Mediterranean-style (MED) diet.

methodsWe enrolled 23 adults with newly diagnosed T2DM (aged 53.5 ± 8.9 years, 48% males) for a randomized crossover trial of two 2-week-long dietary interventions. Participants were blinded to their assignment to one of the two sequence groups: either PPT-MED or MED-PPT diets. The PPT diet relies on a machine learning algorithm that integrates clinical and microbiome features to predict personal postprandial glucose responses (PPGR). We further evaluated the long-term effects of PPT diet on glycemic control and metabolic health by an additional 6-month PPT intervention (n = 16). Participants were connected to continuous glucose monitoring (CGM) throughout the study and self-recorded dietary intake using a smartphone application.

resultsIn the crossover intervention, the PPT diet lead to significant lower levels of CGM-based measures as compared to the MED diet, including average PPGR (mean difference between diets, - 19.8 ± 16.3 mg/dl × h, p < 0.001), mean glucose (mean difference between diets, - 7.8 ± 5.5 mg/dl, p < 0.001), and daily time of glucose levels > 140 mg/dl (mean difference between diets, - 2.42 ± 1.7 h/day, p < 0.001). Blood fructosamine also decreased significantly more during PPT compared to MED intervention (mean change difference between diets, - 16.4 ± 37 μmol/dl, p < 0.0001). At the end of 6 months, the PPT intervention leads to significant improvements in multiple metabolic health parameters, among them HbA1c (mean ± SD, - 0.39 ± 0.48%, p < 0.001), fasting glucose (- 16.4 ± 24.2 mg/dl, p = 0.02) and triglycerides (- 49 ± 46 mg/dl, p < 0.001). Importantly, 61% of the participants exhibited diabetes remission, as measured by HbA1c < 6.5%. Finally, some clinical improvements were significantly associated with gut microbiome changes per person.

conclusionIn this crossover trial in subjects with newly diagnosed T2DM, a PPT diet improved CGM-based glycemic measures significantly more than a Mediterranean-style MED diet. Additional 6-month PPT intervention further improved glycemic control and metabolic health parameters, supporting the clinical efficacy of this approach.

trial registrationClinicalTrials.gov number, NCT01892956.

Indexed as

Diabetes Mellitus, Type 2Diet, MediterraneanAdultBlood GlucoseBlood Glucose Self-MonitoringFemaleGlycemic ControlHumansMaleMiddle AgedPilot ProjectsBlood GlucoseDietary interventionGut microbiomePersonalized nutritionPostprandial glucose responsesType 2 diabetes mellitus

Identifiers

PMID35135549
PMCPMC8826661
OpenAlexW4210940299

What Socratic holds

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LicenceCC BY
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Registered trials

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.