In one paragraphTrial report in Diabetes care, 2025. 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 itWhat 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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
13 authors.
William C KnowlerDepartment of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD.ORCID 0000-0002-7004-5197 Qing PanDepartment of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD.ORCID 0000-0003-1253-0490 Shiyu ShuDepartment of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD.
Mark T TripputiDepartment of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD.
Dana DabeleaDepartments of Pediatrics and Epidemiology and Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO.ORCID 0000-0001-9514-8929 Sharon L EdelsteinDepartment of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD.ORCID 0000-0001-8457-4404 Steven E KahnDivision of Metabolism, Endocrinology and Nutrition, University of Washington, and VA Puget Sound Health Care System, Seattle, WA.ORCID 0000-0001-7307-9002 Shihchen KuoDivision of Metabolism, Endocrinology, and Diabetes, Department of Internal Medicine, University of Michigan, Ann Arbor, MI.ORCID 0000-0001-6207-8792 José A LuchsingerDepartments of Medicine and Epidemiology, Columbia University Irving Medical Center, New York, NY.
Vallabh ShahDepartment of Internal Medicine, Health Sciences Center, University of New Mexico, Albuquerque, NM.ORCID 0000-0002-3584-4057 Amisha WalliaDivision of Endocrinology, Metabolism and Molecular Medicine, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL.ORCID 0000-0002-3183-4062 Marinella TemprosaDepartment of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD.ORCID 0000-0002-9976-745X Diabetes Prevention Program Research Group
Funding
PRIMARY PREVENTION TRIAL--DATA COORDINATING CENTERU01DK048489 · GEORGE WASHINGTON UNIVERSITY · 1994 to 2005
$23.7MPhysical activity, physical function, and frailty in relation to cognitive impairment and AD/ADRD biomarkers in DPPOSU19AG078558 · COLUMBIA UNIVERSITY HEALTH SCIENCES · 2025 to 2025
$15.5MPILOT STUDY--SECRETORY TARGETING IN PANCREATIC B CELLSP30DK036836 · JOSLIN DIABETES CENTER · 1986 to 2025
$12.1MUAB Nutrition Obesity Research Center (NORC)P30DK056336 · UNIVERSITY OF ALABAMA AT BIRMINGHAM · 2000 to 2025
$6.0MPost-DDP Follow-up StudyU01DK048413 · UNIVERSITY OF WASHINGTON · 1994 to 2005
$4.4MTITLE OMITTEDU01DK048349 · YESHIVA UNIVERSITY · 1994 to 2005
$4.0MPRIMARY PREVENTION TRIALU01DK048443 · UNIVERSITY OF SOUTHERN CALIFORNIA · 1994 to 2005
$4.0MPRIMARY PREVENTION TRIAL (DPT-2)U01DK048397 · MASSACHUSETTS GENERAL HOSPITAL · 1994 to 2005
$3.8MPost-DPP Follow-up StudyU01DK048485 · JOHNS HOPKINS UNIVERSITY · 1994 to 2005
$3.7MNIDDM PRIMARY PREVENTION TRIALU01DK048412 · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · 1994 to 2005
$3.6MPRIMARY PREVENTION TRIAL (DPT-2)U01DK048339 · UNIVERSITY OF CALIFORNIA SAN DIEGO · 1994 to 2005
$3.6MPost-DPP Follow-Up StudyU01DK048400 · WASHINGTON UNIVERSITY · 1994 to 2005
$3.6MNIA NIH HHS 5 U19 AG078558NIA NIH HHS U19 AG078558NIDDK NIH HHS P30 DK036836NIDDK NIH HHS P30 DK056336NIDDK NIH HHS U01 DK048339NIDDK NIH HHS U01 DK048349NIDDK NIH HHS U01 DK048349, U01 DK048381, U01 DK048468NIDDK NIH HHS U01 DK048375NIDDK NIH HHS U01 DK048377NIDDK NIH HHS U01 DK048380NIDDK NIH HHS U01 DK048380, U01 DK048397, U01 DK048412NIDDK NIH HHS U01 DK048381NIDDK NIH HHS U01 DK048387NIDDK NIH HHS U01 DK048397NIDDK NIH HHS U01 DK048400NIDDK NIH HHS U01 DK048404NIDDK NIH HHS U01 DK048404, U01 DK048387, U01 DK048407NIDDK NIH HHS U01 DK048406NIDDK NIH HHS U01 DK048407NIDDK NIH HHS U01 DK048411NIDDK NIH HHS U01 DK048411, U01 DK048406NIDDK NIH HHS U01 DK048412NIDDK NIH HHS U01 DK048413NIDDK NIH HHS U01 DK048434NIDDK NIH HHS U01 DK048434, U01 DK048485, U01 DK048375NIDDK NIH HHS U01 DK048437NIDDK NIH HHS U01 DK048443NIDDK NIH HHS U01 DK048443, and U01 DK048400NIDDK NIH HHS U01 DK048468NIDDK NIH HHS U01 DK048485NIDDK NIH HHS U01 DK048489NIDDK NIH HHS U01 DK048489, U01 DK048339, U01 DK048377NIDDK NIH HHS U01 DK048514NIDDK NIH HHS U01 DK048514, U01 DK048437, U01 DK048413
6 · The paper itselfAbstract
The Diabetes Prevention Program (DPP) was a 3-year randomized clinical trial (RCT) with evaluation of lifestyle and metformin interventions compared with placebo for diabetes prevention in high-risk adults. Both interventions significantly reduced diabetes incidence, prompting the long-term Diabetes Prevention Program Outcomes Study (DPPOS) to assess the progression of diabetes and its complications over 22 years. During follow-up, departures from the original metformin or placebo assignment occurred primarily because of development of diabetes that, by protocol, was managed by clinicians outside the study, after participants developed diabetes with HbA1c ≥7.0%. Diabetes development led to changes in metformin treatment and addition of other glucose-lowering therapies. Using statistical methods designed to estimate intervention effects despite these deviations, we consistently found that metformin reduced diabetes incidence. However, using these methods to evaluate whether use of metformin for prediabetes confers continued benefits after diabetes diagnosis did not substantially change the conclusions from those of the simpler intention-to-treat analysis that did not account for treatment changes. All of the analytic methods used resulted in similar metformin effect estimates with 95% CIs for hazard ratios including 1.0 (no effect) for all outcomes except for diabetes incidence. Elucidating metformin's long-term role in mitigating diabetes-related complications beyond its effects on diabetes prevention is challenging.
Indexed as
Diabetes Mellitus, Type 2Hypoglycemic AgentsMetforminAdultFemaleFollow-Up StudiesGlycated HemoglobinHumansMaleMiddle AgedPrediabetic StateGlycated HemoglobinHypoglycemic AgentsMetformin
Identifiers
PMID40857175
PMCPMC12451852
What Socratic holds
Texttitle and abstract
Read underepoch 390