Evidence map›Paper›PMID 41660725›Full record

ReviewJournal of diabetes science and technology2026

Modifiable Factors Affecting the Postprandial Glycemic Response.

Yue Wu, Tracey McLaughlin, Sayra Gorgani, Agatha F Scheideman, Mandy M Shao, Brady David Hislop, Khoa Hoang, Dalia Perelman, Curtis McGinity, Majid Rodgar and 9 more

Abstract readReview
In one paragraph

Review in Journal of diabetes science and technology, 2026. 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

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

19 authors.

Yue WuDepartment of Genetics, Stanford University, Stanford, CA, USA.ORCID 0000-0001-7170-0053
Tracey McLaughlinDepartment of Medicine, Stanford University, Stanford, CA, USA.ORCID 0000-0002-4829-8649
Sayra GorganiDepartment of Electrical Engineering, Stanford University, Stanford, CA, USA.ORCID 0000-0001-6275-7541
Agatha F ScheidemanDiabetes Technology Society, Burlingame, CA, USA.ORCID 0009-0008-4211-4934
Mandy M ShaoDiabetes Technology Society, Burlingame, CA, USA.ORCID 0009-0004-9550-9965
Brady David HislopDepartment of Genetics, Stanford University, Stanford, CA, USA.ORCID 0000-0001-5556-1073
Khoa HoangBioengineering, Stanford University, Stanford, CA, USA.ORCID 0009-0003-2239-045X
Dalia PerelmanDepartment of Genetics, Stanford University, Stanford, CA, USA.ORCID 0000-0003-3335-1950
Curtis McGinityDepartment of Genetics, Stanford University, Stanford, CA, USA.ORCID 0009-0003-2858-5258
Majid RodgarDepartment of Genetics, Stanford University, Stanford, CA, USA.ORCID 0009-0006-0447-5865
Heyjun ParkDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.ORCID 0000-0003-3724-9590
Tao WangDepartment of Genetics, Stanford University, Stanford, CA, USA.ORCID 0000-0002-0865-0062
Caleb MayerDepartment of Genetics, Stanford University, Stanford, CA, USA.ORCID 0000-0002-8286-2186
Ashley DuNovaDiabetes Technology Society, Burlingame, CA, USA.ORCID 0000-0002-1478-7065
Alessandra AyersDiabetes Technology Society, Burlingame, CA, USA.ORCID 0009-0000-3054-3207
Cindy HoDiabetes Technology Society, Burlingame, CA, USA.ORCID 0009-0008-3067-1004
Helge RæderDepartment of Genetics, Stanford University, Stanford, CA, USA.ORCID 0000-0001-9465-8580
David C KlonoffDiabetes Research Institute, Mills-Peninsula Medical Center (Sutter Health), San Mateo, CA, USA.ORCID 0000-0001-6394-6862
Michael P SnyderDepartment of Genetics, Stanford University, Stanford, CA, USA.ORCID 0000-0003-0784-7987

Funding

Stanford Islet Research CoreP30DK116074 · NIDDK · STANFORD UNIVERSITY · PI Seung K Kim · 2017 to 2026
$19.5M
T32 Training Program in Mechanisms and Innovation in Vascular DiseaseT32HL098049 · NHLBI · STANFORD UNIVERSITY · PI Nicholas James Leeper, Philip S Tsao · 2010 to 2026
$6.3M
Longitudinal Multi-Omic Profiles to Reveal Mechanisms of Obesity-Mediated Insulin ResistanceR01DK110186 · NIDDK · STANFORD UNIVERSITY · PI MCLAUGHLIN, TRACEY, SNYDER, MICHAEL P. · 2017 to 2021
$3.2M
Heterogeneity of Diabetes: Integrated Muli-Omics to Identify Physiologic Subphenotypes and Evaluate Targeted PreventionR01DK139472 · NIDDK · STANFORD UNIVERSITY · PI TRACEY MCLAUGHLIN, MICHAEL P. SNYDER · 2025 to 2026
$1.4M
NHLBI NIH HHS T32 HL098049NIDDK NIH HHS P30 DK116074NIDDK NIH HHS R01 DK110186NIDDK NIH HHS R01 DK139472
6 · The paper itself

Abstract

The postprandial glycemic response (PPGR) is associated with diabetes and cardiovascular disease and is highly individualized. The PPGR is affected by both physiological and behavioral factors. Attention to the PPGR has dramatically increased recently with the widespread use of continuous glucose monitors. It is expected that individualized control of PPGRs will be important in the prevention of diabetes and its associated complications. In this article, we discuss six modifiable factors associated with the PPGRs, including (1) the glucoregulatory hormones, (2) gastric emptying, (3) salivary or pancreatic amylase, (4) diet, (5) physical exercise, and (6) sleep and circadian rhythm. Modifying these factors may allow for personalized intervention strategies to control the PPGR-to reduce the risk for cardiovascular disease in individuals with varying degrees of glycemia.

Indexed as

Blood GlucoseDiabetes MellitusPostprandial PeriodCircadian RhythmContinuous Glucose MonitoringExerciseGastric EmptyingHumansSleepBlood Glucosebehaviorcontinuous glucose monitorsphysiologypostprandial glycemic response

Identifiers

PMID41660725
PMCPMC12885966

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.