10-year follow-up of diabetes incidence and weight loss in the Diabetes Prevention Program Outcomes Study
Open accessAbstract
Background In the 2.8 years of the Diabetes Prevention Program (DPP) randomised clinical trial, diabetes incidence in high-risk adults was reduced by 58% with intensive lifestyle intervention and by 31% with metformin, compared with placebo. We investigated the persistence of these effects in the long term. Methods All active DPP participants were eligible for continued follow-up. 2766 of 3150 (88%) enrolled for a median additional follow-up of 5.7 years (IQR 5.5-5.8). 910 participants were from the lifestyle, 924 from the metformin, and 932 were from the original placebo groups. On the basis of the benefits from the intensive lifestyle intervention in the DPP, all three groups were offered group-implemented lifestyle intervention. Metformin treatment was continued in the original metformin group (850 mg twice daily as tolerated), with participants unmasked to assignment, and the original lifestyle intervention group was offered additional lifestyle support. The primary outcome was development of diabetes according to American Diabetes Association criteria. Analysis was by intention-to-treat. This study is registered with ClinicalTrials.gov, number NCT00038727. Findings During the 10.0-year (IQR 9.0-10.5) follow-up since randomisation to DPP, the original lifestyle group lost, then partly regained weight. The modest weight loss with metformin was maintained. Diabetes incidence rates during the DPP were 4.8 cases per 100 person-years (95% CI 4.1-5.7) in the intensive lifestyle intervention group, 7.8 (6.8-8.8) in the metformin group, and 11.0 (9.8-12.3) in the placebo group. Diabetes incidence rates in this follow-up study were similar between treatment groups: 5.9 per 100 person-years (5.1-6.8) for lifestyle, 4.9 (4.2-5.7) for metformin, and 5.6 (4.8-6.5) for placebo. Diabetes incidence in the 10 years since DPP randomisation was reduced by 34% (24-42) in the lifestyle group and 18% (7-28) in the metformin group compared with placebo. Interpretation During follow-up after DPP, incidences in the former placebo and metformin groups fell to equal those in the former lifestyle group, but the cumulative incidence of diabetes remained lowest in the lifestyle group. Prevention or delay of diabetes with lifestyle intervention or metformin can persist for at least 10 years. Funding National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK).
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
6 of 22 cited sources checked · 3 supported · 1 flagged · accuracy not yet measured
- Premisecitation
In the DPP, either intensive lifestyle intervention or metformin stopped or postponed type 2 diabetes among high-risk adults with elevated fasting glucose, impaired glucose tolerance, and raised BMI.
“intensive lifestyle intervention or metformin prevented or delayed development of type 2 diabetes in adults at high risk because of raised fasting plasma glucose (5·3–6·9 mmol/L), impaired glucose tolerance (2-h postload glucose 7·8–11·0 mmol/L), and body-mass index of 24 kg/m2 or higher (≥22 kg/m2 in Asian Americans).3,4”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [3] 1999, The Diabetes Prevention Program: design and methods for a clinical trial in the prevention of type 2 diabetes mellitus, Diabetes Care source
The Abstract and Study Design eligibility criteria describe the DPP’s lifestyle and metformin arms and the high-risk participants, including the stated glucose and BMI thresholds. But this 1999 design-and-methods paper says the trial will test whether the interventions prevent or delay diabetes; it does not report that they did so. (LLM, conf=0.90)
Experimental — accuracy not yet measured - cites [4] 2002, Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin, N Engl J Med source
- Interpretationcitation
The DPPOS finding that lifestyle and metformin delayed or prevented diabetes agrees with other reports of similar lifestyle or antidiabetic drug interventions.
“Our findings that both lifestyle and metformin interventions delayed or prevented diabetes in the DPPOS are consistent with results of other reports of similar interventions with lifestyle or with other antidiabetic drugs.24,25”
Quote in the paperNot a substantial claim1 of 2 sources checked - Premisecitation
The DPP and other clinical trials have established the feasibility of interrupting the worsening of hyperglycaemia in overweight people with raised fasting or postload glycaemia.
“The DPP and other clinical trials12–16 have established the feasibility of interruption of the worsening of hyperglycaemia in overweight people who have raised fasting or postload glycaemia.”
Quote in the paperNot a substantial claim2 of 5 sources checked- cites [12] Pan, 1997, Effects of diet and exercise in preventing NIDDM in people with impaired glucose tolerance: the Da Qing IGT and Diabetes Study, Diabetes Care source
- cites [13] Tuomilehto, 2001, Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance, N Engl J Med source
- cites [14] Chiasson, 2002, Acarbose for prevention of type 2 diabetes mellitus: the STOP-NIDDM randomized trial, Lancet source
- cites [15] 2006, Effect of rosiglitazone on the frequency of diabetes in patients with impaired glucose tolerance or impaired fasting glucose: a randomized controlled trial, Lancet source
- cites [16] Ramachandran, 2006, The Indian Diabetes Prevention Programme shows that lifestyle modification and metformin prevent type 2 diabetes in Asian Indian subjects with impaired glucose tolerance (IDPP-1), Diabetologia source
The Discussion reports that lifestyle modification and metformin reduced progression from impaired glucose tolerance to diabetes in native Asian Indian subjects, supporting the feasibility claim for people with raised postload glucose. The Population and recruitment section defines that glucose criterion, but the trial did not require participants to be overweight; the Discussion gives a mean BMI of 25.8, not an overweight-only result. (LLM, conf=0.82)
Experimental — accuracy not yet measured
- Findingown data
No significant difference in diabetes incidence rates was found among the groups during DPPOS.
“During DPPOS, diabetes incidence rates did not significantly differ between groups (table 3).”
- Also stated in: § Discussion · plain
“Diabetes incidence during the DPPOS did not differ significantly between the three randomised groups.”
Quote in the paperSubstantial claim - Also stated in: § Discussion · plain
- Findingown data
Participants in both metformin and placebo groups aged 60-85 years at DPP randomisation lost weight.
“Participants in both the metformin and placebo groups who were aged 60–85 years at DPP randomisation lost weight (figure 2).”
Quote in the paperNot a substantial claim
- Findingown data
Weight loss was less well maintained across DPPOS in those under 45 at randomisation than in those 45 or older.
“Participants younger than 45 years at randomisation had less sustained weight loss from randomisation throughout the DPPOS than did those aged 45 years and older.”
Quote in the paperNot a substantial claim - Findingown data
Within every sex and treatment arm, HELP attendance was about double for those aged 60-85 at randomisation compared with those aged 25-44.
“In each sex and treatment group, attendance was roughly twice as high in those aged 60–85 years at randomisation than in those aged 25–44 years.”
Quote in the paperNot a substantial claim - Findingown data
From DPP entry, the placebo arm lost under 1 kg on average.
“The placebo group’s mean weight loss was less than 1 kg from DPP entry.”
Quote in the paperNot a substantial claim - Findingown data
With a stricter normoglycaemia definition (fasting glucose <5.6 mmol/L, 2-h glucose <7.8 mmol/L, no previous diabetes), the corresponding frequencies were 13%, 11%, and 10%.
“With a definition of normoglycaemia of fasting glucose less than 5·6 mmol/L,11 2-h glucose less than 7·8 mmol/L, and no previous diagnosis of diabetes, the corresponding frequencies were 13%, 11%, and 10%.”
Quote in the paperNot a substantial claim - Findingown data
Median follow-up from DPP randomisation to most recent DPPOS assessment was 10.0 years.
“Median follow-up from randomisation in the DPP to the most recent assessment in the DPPOS was 10·0 years (IQR 9·0–10·5).”
Quote in the paperSubstantial claim - Findingown data
All three arms showed improvement in cardiovascular risk factors after randomisation.
“Cardiovascular disease risk factors improved in all three treatment groups since randomisation.”
Quote in the paperNot a substantial claim - Findingown data
In the lifestyle arm, all age groups showed average weight gain during DPPOS.
“Every age-group in the lifestyle intervention gained weight, on average, during the DPPOS.”
Quote in the paperNot a substantial claim - Findingown data
During the DPPOS follow-up, diabetes incidence rates were similar across treatment groups: 5.9 per 100 person-years for lifestyle, 4.9 for metformin, and 5.6 for placebo.
“Diabetes incidence rates in this follow-up study were similar between treatment groups: 5·9 per 100 person-years (5·1–6·8) for lifestyle, 4·9 (4·2–5·7) for metformin, and 5·6 (4·8–6·5) for placebo.”
Quote in the paperSubstantial claim - Findingown data
Mean weight at DPPOS baseline differed across arms: 90.6 kg for lifestyle, 92.0 kg for metformin, and 93.4 kg for placebo (p=0.0158).
“Thus, the groups’ mean weights differed at the start of DPPOS—90·6 kg for lifestyle, 92·0 kg for metformin, and 93·4 kg for placebo (p=0·0158).”
Quote in the paperNot a substantial claim - Findingreasoning
Session attendance was positively associated with age.
“Session attendance was positively associated with age, perhaps because of differences in occupational and child-care demands.”
Quote in the paperSubstantial claim - Findingcitation
Both active treatments improved cardiovascular risk factors.
“Both active interventions improved risk factors for cardiovascular disease.22,23”
Quote in the paperNot a substantial claim - Findingown data
The washout was estimated to produce 15 extra diabetes cases in the metformin arm beyond what placebo experience would predict.
“During the washout, an estimated 15 diabetes cases occurred in the metformin group above those expected from the placebo experience.”
Quote in the paperSubstantial claim - Findingown data
For preventing increases in fasting glucose and HbA1c, metformin performed at least as well as lifestyle intervention.
“Metformin was at least as effective as lifestyle intervention in prevention of rises in fasting glucose and HbA1c (figure 5).”
Quote in the paperSubstantial claim - Study design and conductown data
Participants in DPP were randomly assigned centrally to intensive lifestyle, metformin, or placebo.
“Participants were randomly assigned centrally to one of three interventions: intensive lifestyle (aimed to help participants to achieve and maintain 7% weight loss and 150 min or more per week of moderate-intensity physical activity); metformin 850 mg twice per day; or placebo.”
Quote in the paperSubstantial claim - Interpretationnone given
The authors know of no other behavioural or drug weight-loss study reporting this much weight loss over so long a period.
“As far as we are aware, no other weight-loss study using behavioural or drug interventions has reported this amount of weight loss over such a long period.”
Quote in the paperNot a substantial claim - Interpretationcitation
The short washout at DPP's end likely explains why metformin-arm diabetes incidence rose temporarily during the bridge period.
“The brief drug washout study7 at the end of DPP probably accounted for the transient rise in diabetes incidence in the metformin group during the bridge period.”
Quote in the paperSubstantial claim - Premisecitation
In Da Qing, after treatment and regular follow-up stopped at 6 years, 20-year cumulative incidence was still lower in the three treatment groups combined than with usual care.
“Treatment and regular follow-up were discontinued after 6 years, but cumulative incidence during 20 years, gathered largely from clinical and historical data, remained lower in the three combined treatment groups than in the usual care group.26”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [26] Li, 2008, The long-term effect of lifestyle interventions to prevent diabetes in the China Da Qing Diabetes Prevention Study: a 20-year follow-up study, Lancet source
- Premisecitation
In DPP, losing weight was linked to preventing diabetes.
“During DPP, weight loss was associated with diabetes prevention.20”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [20] 2006, Effect of weight loss with lifestyle intervention on risk of diabetes, Diabetes Care
Not checked in the free run.
- Interpretationreasoning
In the lifestyle arm, less intensive treatment during bridge and DPPOS may have reduced adherence just as weight was being regained.
“For participants in the lifestyle group, decreased intensity of treatment during the bridge and DPPOS might have resulted in lowered adherence at a time when weight regain was taking place.”
Quote in the paperSubstantial claim - Interpretationreasoning
Without those cases, metformin and placebo incidence rates during the bridge would likely have been similar.
“Had these cases not occurred, incidence rates would have been similar in the metformin and placebo groups during the bridge period.”
Quote in the paperNot a substantial claim - Study design and conductown data
Conclusions about treatment effects during DPPOS are tentative because of group differences, including prevalence of diabetes, at DPPOS enrolment.
“Such conclusions about treatment effects during the DPPOS are tentative because of group differences, including the prevalence of diabetes, at DPPOS enrolment (table 2).”
Quote in the paperSubstantial claim - Premisecitation
Two other lifestyle intervention studies have reported continued separation of cumulative diabetes incidence in long-term follow-up.
“Continued separation of cumulative incidence of diabetes has been reported in long-term follow-up of two other lifestyle intervention studies.18,26”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [18] Lindström, 2006, Sustained reduction in the incidence of type 2 diabetes by lifestyle intervention: follow-up of the Finnish Diabetes Prevention Study, Lancet source
- cites [26] Li, 2008, The long-term effect of lifestyle interventions to prevent diabetes in the China Da Qing Diabetes Prevention Study: a 20-year follow-up study, Lancet source
- Premisecitation
The Finnish Diabetes Prevention Study reduced diabetes incidence by 58% over its 4-year active intervention.
“During the 4-year active intervention, diabetes incidence was reduced by 58%.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [18] Lindström, 2006, Sustained reduction in the incidence of type 2 diabetes by lifestyle intervention: follow-up of the Finnish Diabetes Prevention Study, Lancet source
- Interpretationreasoning
That lifestyle-programme benefit may have mattered most for those aged 60-85 at randomisation, who lost weight during this period.
“This benefit might have been especially relevant for people aged 60–85 years at randomisation, who lost weight during this time.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Another possible reason for lower incidence in the former metformin and placebo arms is that all participants received the group lifestyle programme during bridge and DPPOS.
“An additional explanation for the reduction in incidence in the former metformin and placebo groups in our study is that participants benefited from the group-implemented lifestyle programme offered to all during the bridge and DPPOS periods.”
Quote in the paperSubstantial claim
- Classified as probably not a substantial claim. 10
- May combine two claims. 39
- The quote only partly states this claim. 1
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe Swedish Obese Subjects Study's non-surgical group averaged a 0.1% weight gain at 10 years.
“For example, in the non-surgical treatment group of the Swedish Obese Subjects Study21 of bariatric surgery, a 0·1% weight gain was reported, on average, after 10 years.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [21] Sjöström, 2004, Lifestyle, diabetes, and cardiovascular risk factors 10 years after bariatric surgery, N Engl J Med source
The Abstract reports a 0.1% weight gain in the control group after two years, not ten. At ten years, it reports a 1.6% weight gain in that group. (LLM, conf=0.95)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationEarlier extrapolation from DPP incidence estimated median diabetes delay at 11 years for lifestyle and 3 years for metformin.
“The delay in median time to diabetes diagnosis was previously estimated to be 11 years for the lifestyle and 3 years for the metformin groups on the basis of extrapolation of DPP incidence.19”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [19] 2005, The cost-effectiveness of lifestyle modification or metformin in preventing type 2 diabetes in adults with impaired glucose tolerance, Ann Intern Med source
May combine two claims.
Findingown dataThe metformin arm lost about 2.5 kg on average during DPP and kept most of that loss.
“The metformin group lost a mean of 2·5 kg during DPP and maintained most of that weight loss.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe lifestyle group subsequently regained about 1 kg, while metformin and placebo groups initially lost and then regained weight back to DPPOS baseline levels.
“The lifestyle group subsequently regained about 1 kg, whereas the metformin and placebo groups initially lost and then regained weight back to their respective levels at DPPOS baseline (figure 2).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe largest lifestyle benefit appeared in those aged 60-85 at randomisation (49% lower rate), a group where metformin showed no significant effect.
“The lifestyle effect was greatest in participants aged 60–85 years at randomisation (49% rate reduction), in whom metformin had no significant effect (figure 3).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe metformin and lifestyle arms had lower HbA1c and fasting glucose than the original placebo arm, even though more placebo participants took antidiabetic drugs.
“HbA1c and fasting glucose concentrations were lower in the metformin and lifestyle groups than in the original placebo group, despite more people in the placebo group using antidiabetic drugs than those in the metformin (excluding study-assigned metformin) or lifestyle groups.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataOver the whole follow-up, the lifestyle arm had lower systolic and diastolic blood pressure and triglycerides than the other arms, despite less anti-hypertensive use.
“Averaged over all follow-up, systolic and diastolic blood pressure and triglycerides were lower in the lifestyle than in the other groups, although use of anti-hypertensive drugs was less frequent.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataLifestyle group participants initially lost the most weight (mean 7 kg by 1 year), gradually regained, but still weighed about 2 kg less than at randomisation.
“The lifestyle group participants initially lost the most weight (a mean of 7 kg by 1 year), but gradually regained, although still weighing about 2 kg less than they did at randomisation.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataDuring the 10-year follow-up since DPP randomisation, the original lifestyle group lost weight and then partly regained it, while the modest weight loss in the metformin group was maintained.
“During the 10·0-year (IQR 9·0–10·5) follow-up since randomisation to DPP, the original lifestyle group lost, then partly regained weight. The modest weight loss with metformin was maintained.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataOver the 10 years after DPP randomisation, the lifestyle arm had a 34% lower diabetes incidence and the metformin arm an 18% lower incidence than placebo.
“Diabetes incidence in the 10 years since DPP randomisation was reduced by 34% (24–42) in the lifestyle group and 18% (7–28) in the metformin group compared with placebo.”
- Also stated in: § Results · plain
“During the combined DPP, bridge, and DPPOS periods, the incidence rate of the lifestyle group was reduced by 34% (95% CI 24–42) and metformin by 18% (7–28) compared with placebo.”
Quote in the paperSubstantial claim- Also stated in: § Results · plain
May combine two claims.
Findingown dataDuring DPPOS, cumulative incidence curves for the 1994 participants without diabetes on Sept 1, 2002 did not continue to separate as in DPP, because additional cases were similar across groups.
“During this study, cumulative incidence curves for the 1994 participants who remained without diabetes on Sept 1, 2002, (five of the original 1999 had no follow-up) did not continue to separate as they had in DPP, because the accumulation of additional cases of diabetes was similar in the three groups (figure 3).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataDuring the DPP, diabetes incidence rates were 4.8 per 100 person-years in the intensive lifestyle group, 7.8 in the metformin group, and 11.0 in the placebo group.
“Diabetes incidence rates during the DPP were 4·8 cases per 100 person-years (95% CI 4·1–5·7) in the intensive lifestyle intervention group, 7·8 (6·8–8·8) in the metformin group, and 11·0 (9·8–12·3) in the placebo group.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAt the most recent yearly examination, 23% of lifestyle, 19% of metformin, and 19% of placebo participants had become normoglycaemic by previously defined criteria.
“At the most recent yearly examination, 23% in the lifestyle, 19% in the metformin, and 19% of participants in the placebo groups had become normoglycaemic by criteria defined and reported previously (fasting glucose <6·1 mmol/L, 2-h glucose <7·8 mmol/L, and no previous diagnosis of diabetes).4,5”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataDuring DPPOS, the lifestyle arm's incidence rate stayed flat, while the placebo and metformin arms' rates declined.
“Incidence rates were stable in the lifestyle group, but fell in the placebo and metformin groups during the DPPOS.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataAcross the study, the lifestyle arm had lower systolic and diastolic blood pressure and triglycerides than metformin and placebo, but these differences disappeared by the end of follow-up.
“Overall, systolic and diastolic blood pressure and triglycerides were lower in the lifestyle than in the metformin and placebo groups, but these differences were not maintained by the end of follow-up (table 4).”
Quote in the paperNot a substantial claimMay combine two claims. The quote only partly states this claim.
Findingown dataThe median delay to onset of diabetes was about 4 years for lifestyle and 2 years for metformin compared with placebo, estimated from time to 40% cumulative incidence.
“This point was delayed by about 4 years by lifestyle and 2 years by metformin, compared with placebo.”
- Also stated in: § Discussion · plain
“In this study, onset of diabetes was delayed by about 4 years by lifestyle intervention and 2 years by metformin compared with placebo.”
Quote in the paperSubstantial claim- Also stated in: § Discussion · plain
May combine two claims.
Findingown dataLifestyle intervention also improved blood pressure and lipids, even though participants' own physicians prescribed fewer drugs.
“The lifestyle intervention also resulted in improved blood pressure and lipid concentrations despite a reduction in drug treatment prescribed by participants’ personal physicians.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataBOOST attendance in the original lifestyle arm averaged 17% (19% among those without diabetes) and rose with age.
“Attendance at BOOST sessions for the original lifestyle group averaged 17% (19% for participants without diabetes), and was positively associated with age.”
Quote in the paperNot a substantial claimMay combine two claims.
FindingcitationDuring the bridge, the metformin and placebo arms attended lifestyle sessions more than the original lifestyle arm and lost modest weight, though less than the lifestyle arm had during DPP.
“The two groups newly exposed to lifestyle intervention (metformin and placebo) had higher attendance than did the lifestyle group during the bridge period, and they achieved modest weight loss, although less than the lifestyle group did during the DPP.8”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataDuring follow-up after DPP, diabetes incidence in the former placebo and metformin groups fell to equal that in the former lifestyle group, but cumulative diabetes incidence remained lowest in the lifestyle group.
“During follow-up after DPP, incidences in the former placebo and metformin groups fell to equal those in the former lifestyle group, but the cumulative incidence of diabetes remained lowest in the lifestyle group.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductown dataIn DPPOS, among non-diabetic metformin participants, 57% took at least 80% of the prescribed dose and 70% took some metformin; outside-study metformin use was 1% in the lifestyle arm and 3% in the original placebo arm.
“During DPPOS, 57% of the non-diabetic metformin participants took 80% or more of the prescribed metformin dose and 70% took metformin in any amount, compared with 1% of non-diabetic participants in the lifestyle group and 3% in the original placebo group who took metformin prescribed outside the study.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataDPPOS enrolment was similar by sex and ethnic origin, but was lower among women with prior gestational diabetes and higher among those who already had diabetes by Sept 1, 2002.
“Enrolment into this follow-up study from the DPP cohort did not differ significantly by sex or ethnic origin, but was lower in women with a history of gestational diabetes than in those without and higher in participants who had developed diabetes by Sept 1, 2002, than in those without diabetes (table 1).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThe DPPOS analysis adjusted for baseline values in analyses of change.
“Each analysis of change from the start of DPPOS was adjusted for the study’s baseline value, and each analysis of change from DPP randomisation until the analysis closing date was adjusted for the DPP baseline value.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataHigher age, HbA1c, and cholesterol, and in women lower weight and BMI, were associated with enrolment.
“Enrolment was also related to greater age, HbA1c, cholesterol concentrations, and in women, by lower weight and body-mass index (webappendix p 1).”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataLifestyle intervention or metformin can keep diabetes from developing or delay it for at least a decade.
“Prevention or delay of diabetes with lifestyle intervention or metformin can persist for at least 10 years.”
- Also stated in: § Discussion · boosted
“Our results have shown that a reduction in diabetes cumulative incidence by either lifestyle intervention or metformin therapy persists for at least 10 years.”
Quote in the paperSubstantial claim- Also stated in: § Discussion · boosted
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningThree pair-wise comparisons of diabetes incidence were done, each at an alpha of 0.017.
“We did three pair-wise comparisons of diabetes incidence in the three intervention groups, each at an α of 0·017—ie, the conventional 0·05 adjusted for three comparisons.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataDPPOS enrolled 2766 of 3150 eligible DPP participants (88%); the median additional follow-up was 5.7 years.
“2766 of 3150 (88%) enrolled for a median additional follow-up of 5·7 years (IQR 5·5–5·8).”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductown dataThe DPPOS analysis was by intention-to-treat.
“Analysis was by intention-to-treat.”
- Also stated in: § Statistical analysis · plain
“The intention-to-treat analysis compared each intervention with placebo on a modified product-limit life-table distribution with a log-rank test statistic.”
Quote in the paperSubstantial claim- Also stated in: § Statistical analysis · plain
May combine two claims.
PremisecitationIn the DPP randomized trial, over an average of 2.8 years, the intensive lifestyle arm lowered diabetes incidence by 58% and the metformin arm by 31%, relative to placebo, among high-risk adults.
“diabetes incidence in high-risk adults was reduced by 58% with intensive lifestyle intervention and by 31% with metformin, compared with placebo.”
- Also stated in: § Participants · plain
“lifestyle intervention reduced incidence of diabetes by 58% and metformin by 31% compared with placebo during an average of 2·8 years in the DPP.4”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [4] 2002, Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin, N Engl J Med source
- Also stated in: § Participants · plain
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationTreatment assignment was double-blind for the metformin and placebo arms.
“The metformin and placebo groups were masked (double blind) to treatment.3,4,6”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataHELP session attendance averaged 18% in the original lifestyle arm, 15% in metformin, and 14% in placebo (20%, 15%, and 14% among non-diabetic participants).
“Attendance at quarterly lifestyle sessions (HELP) averaged 18% for the original lifestyle group, 15% for the metformin group, and 14% for the placebo group (20%, 15%, and 14%, respectively, in non-diabetic participants).”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataBoth lifestyle and metformin produced weight loss that lasted 10 years.
“Lifestyle and metformin interventions succeeded in producing long-term (10-year) weight loss.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductnone givenLimitations of the present analyses include less than complete enrolment and treatment modifications after the end of DPP.
“Limitations of the present analyses include the less than complete enrolment in our study and the treatment modifications after the end of DPP.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningThe convergence of diabetes incidence across arms during bridge and DPPOS could stem from a weaker lifestyle effect in the original lifestyle arm than during DPP, from giving group lifestyle intervention to the placebo and metformin arms, or from both.
“Therefore, convergence of diabetes incidence rates in the three treatment groups during the bridge and DPPOS might be a result of either a diminished effect of the lifestyle intervention for the original lifestyle group compared with the intensive lifestyle intervention during the DPP, or the introduction of group-implemented lifestyle intervention to the DPP placebo and metformin groups, or both.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataCurrent delay estimates are shorter than the earlier ones, mainly because placebo-arm diabetes incidence fell.
“The present estimated delays are smaller than the original estimates owing largely to the reduction in diabetes incidence in the placebo group.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationnone givenShifts in how diabetes was ascertained over time make interpretation harder.
“However, the change in ascertainment of diabetes over time complicates data interpretation.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataThe absence of a DPPOS incidence difference did not come from a rebound in the lifestyle arm; instead, placebo and metformin incidence fell to match the lifestyle rate, which stayed largely unchanged.
“This finding was not attributable to a rebound effect in the lifestyle group but to a fall in incidence in the placebo and metformin groups that resulted in similar rates as achieved by lifestyle intervention, which changed little throughout follow-up (table 3 and figure 4).”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataAt 10 years after DPP randomisation, the lifestyle and metformin arms still had lower cumulative diabetes incidence than placebo, even though treatments changed after an average of 3.2 years.
“10 years after DPP randomisation, cumulative incidence of diabetes remained lower in the lifestyle and metformin groups than in the placebo group, despite changes in treatments after a mean of 3·2 years.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductreasoningThe cumulative data overlap the separately reported periods, add no statistical information, and do not come from a single predesigned intervention, so tests or CIs for the whole post-randomisation period need cautious interpretation.
“Cumulative data are completely contained within the other separately reported periods, statistically provide no additional information, and do not represent a predesigned uniform intervention over time. Therefore, significance tests or CIs reported for the entire time since randomisation should be interpreted cautiously.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationThe Da Qing trial in 577 Chinese people with impaired glucose tolerance found 6-year cumulative diabetes rates of 68% with usual care, 48% with diet, 41% with exercise, and 46% with diet plus exercise; all three interventions were similarly effective.
“After 6 years of treatment, cumulative diabetes incidences were high (68% in usual care, 48% in diet, 41% in exercise, and 46% in diet plus exercise groups), with all three interventions being similarly effective.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [12] Pan, 1997, Effects of diet and exercise in preventing NIDDM in people with impaired glucose tolerance: the Da Qing IGT and Diabetes Study, Diabetes Care source
- cites [26] Li, 2008, The long-term effect of lifestyle interventions to prevent diabetes in the China Da Qing Diabetes Prevention Study: a 20-year follow-up study, Lancet source
May combine two claims.
PremisecitationIn that Finnish study, the intervention was not delivered during the 3-year follow-up but still cut incidence by 39%.
“Although the intervention was not actively delivered during the 3-year follow-up, it remained effective with a 39% reduction in incidence.18”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [18] Lindström, 2006, Sustained reduction in the incidence of type 2 diabetes by lifestyle intervention: follow-up of the Finnish Diabetes Prevention Study, Lancet source
May combine two claims.
InterpretationreasoningThese factors probably contributed to greater weight loss and protection from diabetes in older than in younger participants, particularly in the lifestyle group.
“These factors probably contributed to greater weight loss (figure 2) and protection from diabetes in the older than in the younger participants, particularly in the lifestyle group (figure 3).”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductown dataComplications were too rare to analyse treatment effects; the complete DPPOS follow-up is needed to see whether preventing or delaying diabetes also affects complications.
“However, diabetes complications were too infrequent for analysis of treatment effects, and the full DPPOS follow-up will be needed to assess whether prevention or delay of diabetes onset will have the same effect on complications.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenThe authors know of no published long-term follow-up of drug intervention to prevent diabetes other than DPPOS.
“As far as we know, no long-term follow-up of drug intervention to prevent diabetes has been published except for the DPPOS.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationcitationThe hypothesis that incidence rates in former placebo and metformin groups fell because most susceptible participants developed diabetes during DPP is not supported by stability of diabetes incidence in the lifestyle group, by findings in high-risk Pima Indians, or by results of the Finnish Diabetes Prevention Study.
“However, this hypothesis is not supported by stability over time of diabetes incidence in the lifestyle group, by findings in high-risk Pima Indians, in whom the yearly incidence of diabetes in people with impaired glucose tolerance increased rather than decreased during a 10-year follow-up,17 or by results of the Finnish Diabetes Prevention Study18 in which diabetes incidence in the control group”
Quote in the paperSubstantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S2 (checkable). May combine two claims.
PremisereasoningSince diabetes is defined by arbitrary glycaemic thresholds, stopping hyperglycaemia from worsening prevents or postpones diabetes onset.
“Because diabetes is defined by somewhat arbitrary cut-off points of hyperglycaemia, arrest of progression of hyperglycaemia prevents or delays onset of diabetes.”
Quote in the paperNot a substantial claim
The authors state this as an assumption.
Preventing or delaying diabetes as defined by conventional glycaemic thresholds would also prevent or delay clinical complications such as microvascular and macrovascular disease and neuropathy.
“one might assume that prevention or delay of onset of diabetes as defined by conventional glycaemic cut-offs would also prevent or delay these clinical manifestations.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The Diabetes Prevention Program Outcomes Study had 10 years of follow-up for a lifestyle weight-loss intervention, but both the lifestyle and comparison groups began receiving weight-loss counseling after an average of 3.2 years from randomization.
“The Diabetes Prevention Program Outcomes Study34 reported 10 years of follow-up of a lifestyle weight-loss intervention, but both the lifestyle group and the comparison groups received weight loss counseling after a mean of 3.2 years since randomization.”
From Eight-year weight losses with an intensive lifestyle intervention: The look AHEAD study (2014) · cites this paper as [34]
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measuredLonger maintenance of weight loss might further reduce the risk of type 2 diabetes in at-risk people and preserve gains in sleep apnea, physical mobility, and other conditions improved by weight loss.
“Sustaining weight loss for longer periods may further improve the prevention of type 2 diabetes in at-risk individuals,34 as well as maintain improvements in sleep apnea,5 physical mobility,6 and other health conditions ameliorated by weight loss.7–9”
From Eight-year weight losses with an intensive lifestyle intervention: The look AHEAD study (2014) · cites this paper as [34]
The Discussion reports that weight loss during the DPP was associated with diabetes prevention and that reduced cumulative diabetes incidence persisted for at least 10 years. But the Findings say the lifestyle group partly regained weight, and diabetes incidence during follow-up was similar across groups. The paper supports sustained prevention in at-risk adults, not the more specific suggestion that maintaining weight loss for longer would further improve it. The sleep-apnea and mobility claims have separate citations and are not attributed to this source. (LLM, conf=0.82)
Experimental — accuracy not yet measuredOf the 3150 eligible surviving DPP participants, 88% enrolled in DPPOS with similar baseline characteristics in each treatment group.
“Of the 3150 eligible surviving DPP participants, 88% enrolled in DPPOS with similar baseline characteristics in each treatment group (88% of each sex and 87 to 88% of each treatment group enrolled).6”
From Long-term effects and effect heterogeneity of lifestyle and metformin interventions on type 2 diabetes incidence over 21 years in the US Diabetes Prevention Program randomised clinical trial (2025) · cites this paper as [6]
Methods > Participants (page not available) reports that 3150 surviving, consenting DPP participants were eligible and 2766 (88%) enrolled by August 2008. Results (page not available) says enrolment did not differ significantly by sex, but the available text does not give the stated sex- or treatment-group percentages. It also reports significantly different mean weights across treatment groups at DPPOS baseline, so it does not establish that baseline characteristics were similar across groups. (LLM, conf=0.85)
Experimental — accuracy not yet measuredPrevious studies of lifestyle interventions for diabetes prevention, such as the Diabetes Prevention Program, have demonstrated sustained benefits over 2.9 to 6 years, with continued protection of 27-43% for up to 15 years.
“Previous studies of lifestyle interventions for diabetes prevention, such as the Diabetes Prevention Program, have demonstrated sustained benefits over 2.9 to 6 years, with continued protection of 27–43% for up to 15 years38.”
From Impact of digital health interventions on glycemic control and weight management. (2025) · cites this paper as [38]
The Results report a 34% lower diabetes incidence rate in the lifestyle group over the combined DPP and follow-up periods, and the Discussion says the reduction persisted for at least 10 years. The paper reports the original DPP after about 2.8 years and discusses a separate six-year intervention, but it does not establish the claimed 27–43% protection for up to 15 years. (LLM, conf=0.88)
Experimental — accuracy not yet measuredThe DPP was a multicenter (27 centers), randomized controlled clinical trial designed to determine whether treatment with lifestyle intervention or metformin could prevent or delay type 2 diabetes in high-risk adults.
“The DPP (1996-2001) was a multicenter (27 centers), randomized controlled clinical trial designed to determine whether treatment with lifestyle intervention or metformin could prevent or delay type 2 diabetes in high-risk adults.”
From The impact of physical activity on the prevention of type 2 diabetes: Evidence and lessons learned from the Diabetes Prevention Program, a long-standing clinical trial incorporating subjective and objective activity measures (2021) · cites this paper as [2]
The Introduction describes the DPP as a US multicentre randomised clinical trial testing whether lifestyle intervention or metformin prevented or delayed type 2 diabetes in high-risk adults. Methods > Participants reports enrolment beginning in 1996 and masked treatment ending in 2001. Our copy does not specify 27 centres, so that detail is unsupported. (LLM, conf=0.88)
Experimental — accuracy not yet measured
In the Diabetes Prevention Program, participants received intensive, CBT-based lifestyle counseling reinforced through periodic booster sessions focused on dietary logging and activity tracking, sustaining partial weight loss and delaying diabetes onset for over a decade.
“participants received intensive, CBT-based lifestyle counseling reinforced through periodic “booster” sessions focused on dietary logging and activity tracking, sustaining partial weight loss and delaying diabetes onset for over a decade”
From Weight maintenance after discontinuation of GLP-1 therapies (2026) · cites this paper as [86]
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measuredIntegrating dietary modification, structured exercise, and behavioral counseling achieves greater adherence and durability than any single component alone.
“Evidence from long-term lifestyle programs demonstrates that integrating dietary modification, structured exercise, and behavioral counseling achieves greater adherence and durability than any single component alone.53,86”
From Weight maintenance after discontinuation of GLP-1 therapies (2026) · cites this paper as [86]
The Discussion reports sustained 10-year weight loss with the lifestyle intervention, supporting the durability portion of the claim. It does not show that combining diet, exercise, and behavioral counseling produces greater adherence or durability than any component alone; the Discussion describes diet-only, exercise-only, and combined diet-and-exercise interventions in another trial as similarly effective. Page numbers are unavailable in our copy. (LLM, conf=0.87)
Experimental — accuracy not yet measuredIntensive Behavioral Counseling (IBC) interventions like the National Diabetes Prevention Program (NDPP) have demonstrated effectiveness in reducing excess body weight and lowering or delaying morbidity onset.
“Intensive Behavioral Counseling (IBC) interventions like the National Diabetes Prevention Program (NDPP), have demonstrated effectiveness in reducing excess body weight and lowering or delaying morbidity onset.”
From Clinical and Economic Impact of a Digital, Remotely-Delivered Intensive Behavioral Counseling Program on Medicare Beneficiaries at Risk for Diabetes and Cardiovascular Disease (2016) · cites this paper as [2]
The Methods (Participants) and Discussion report that the DPP intensive lifestyle intervention produced weight loss and reduced or delayed the onset of type 2 diabetes in high-risk adults. The paper does not evaluate the NDPP specifically, and the Discussion says diabetes complications were too infrequent to assess whether the intervention delayed those outcomes. Page numbers were not available in our copy. (LLM, conf=0.87)
Experimental — accuracy not yet measuredIBC has been widely accepted as an effective approach for compliant individuals to reduce body weight, improve clinical measures, and lower risk of obesity-related comorbidities.
“Intensive Behavioral Counseling (IBC) has been widely accepted as an effective approach for compliant individuals to reduce body weight, improve clinical measures, and lower risk of obesity-related comorbidities [1–6].”
From Clinical and Economic Impact of a Digital, Remotely-Delivered Intensive Behavioral Counseling Program on Medicare Beneficiaries at Risk for Diabetes and Cardiovascular Disease (2016) · cites this paper as [2]
The Results report weight loss, lower glucose measures and some cardiovascular risk factors, and a 34% lower diabetes incidence in the lifestyle group than in the placebo group over the combined follow-up. The paper supports an intensive lifestyle intervention for people at risk of diabetes, but does not establish the broader claim about Intensive Behavioral Counseling for compliant individuals generally or obesity-related comorbidities beyond diabetes. (LLM, conf=0.84)
Experimental — accuracy not yet measuredThe 10- and 15-year follow-up studies of DPPOS continued to show reduced incidence of diabetes by 34% and 27%, respectively, relative to the control group.
“Furthermore, the 10- and 15-year follow-up studies continued to show reduced incidence of diabetes by 34% and 27%, respectively, relative to the control group [1,2].”
From Clinical and Economic Impact of a Digital, Remotely-Delivered Intensive Behavioral Counseling Program on Medicare Beneficiaries at Risk for Diabetes and Cardiovascular Disease (2016) · cites this paper as [2]
The Results (page not provided) report a 34% lower diabetes incidence rate in the lifestyle group than in the placebo group over the combined DPP and DPPOS periods, covering about 10 years. This paper does not report the claimed 15-year follow-up or its 27% reduction. (LLM, conf=0.90)
Experimental — accuracy not yet measuredThe lower control-group diabetes incidence estimates imply that the relative risk reductions seen in NDPP/DPPOS may be higher than what would be expected in a larger population.
“and imply that the relative risk reductions seen in NDPP/DPPOS may be higher than what would be expected in a larger population [1,2].”
From Clinical and Economic Impact of a Digital, Remotely-Delivered Intensive Behavioral Counseling Program on Medicare Beneficiaries at Risk for Diabetes and Cardiovascular Disease (2016) · cites this paper as [2]
The Results (page unavailable) report diabetes-incidence reductions relative to placebo and a fall in placebo-group incidence during DPPOS. The paper does not say that these findings imply larger relative risk reductions than would be expected in a broader population, and it does not address NDPP estimates. (LLM, conf=0.78)
Experimental — accuracy not yet measuredPrevious work has found that IBC intervention, including NDPP, among overweight and obese adults with prediabetes and CVD risk factors can improve clinical measures, prevent or delay disease onset, reduce medical expenditures, and increase productivity.
“Previous work has found that IBC intervention, including NDPP, among overweight and obese adults with prediabetes and CVD risk factors can improve clinical measures, prevent or delay disease onset, reduce medical expenditures, and increase productivity (in the form of higher labor force participation and lower work absenteeism) [1–6,13–15,19].”
From Clinical and Economic Impact of a Digital, Remotely-Delivered Intensive Behavioral Counseling Program on Medicare Beneficiaries at Risk for Diabetes and Cardiovascular Disease (2016) · cites this paper as [2]
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measuredPivotal randomized trials of GLP-1 RAs for obesity (STEP, SURMOUNT, SCALE) all incorporated intensive lifestyle interventions modeled on Diabetes Prevention Program-style curricula, and the magnitude of weight loss in the control arms confirms that structured lifestyle support produces clinically meaningful effects in this population even without GLP-1 RA therapy.
“pivotal randomized trials of GLP-1 RAs for obesity (STEP, SURMOUNT, SCALE) all incorporated intensive lifestyle interventions modeled on Diabetes Prevention Program-style curricula, and the magnitude of weight loss in the control arms of these trials confirms that structured lifestyle support produces clinically meaningful effects in this population even without GLP-1 RA therapy [9,13,76,77].”
From Adherence and Persistence with GLP-1-Based Therapies: International Real-World Evidence and the Role of Nutritional and Lifestyle Support—A Narrative Review (2026) · cites this paper as [76]
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measuredA clear definition of HOMA-IR cut-offs is limited by the interpretation of blood glucose levels itself as these change considerably over time.
“A clear definition is limited by the interpretation of blood glucose levels itself as these change considerably over time [12].”
From Optimal Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) Cut-Offs: A Cross-Sectional Study in the Czech Population (2019) · cites this paper as [12]
The Discussion says diabetes is defined by somewhat arbitrary hyperglycaemia cut-offs, and the Results track fasting glucose over time. The paper does not discuss HOMA-IR cut-offs or say that considerable changes in glucose levels over time prevent their clear definition. Page numbers are not available in our copy. (LLM, conf=0.82)
Experimental — accuracy not yet measuredPart of the weight loss seen in older intensive lifestyle intervention participants likely resulted from the combined influence of diabetes and aging.
“Some of their weight loss, however, probably was attributable to the combined effects of diabetes36 and aging, since it also occurred in older participants in Look AHEAD’s DSE group and in the original placebo-treated group of the Diabetes Prevention Program Outcomes Study.34”
From Eight-year weight losses with an intensive lifestyle intervention: The look AHEAD study (2014) · cites this paper as [34]
Cardiometabolic benefits may be preserved despite weight regain, as seen in the Diabetes Prevention Program Outcomes Study.
“though as seen in the diabetes prevention program outcomes study, cardiometabolic benefits may be preserved despite weight regain [153].”
From Lifestyle Medicine for Obesity in the Era of Highly Effective Anti-Obesity Treatment (2025) · cites this paper as [153]
The strongest evidence for type 2 diabetes prevention comes from several studies, including the DPP.
“The strongest evidence for type 2 diabetes prevention comes from several studies, including the DPP (26 -28).”
From Nutrition Therapy for Adults With Diabetes or Prediabetes: A Consensus Report (2019) · cites this paper as [28]
During an average 10 years of follow-up since DPP randomization, between-group differences in cumulative diabetes incidence persisted, although to a lesser degree than at DPP end.
“During an average 10 years of follow-up since DPP randomization, the between-group differences in cumulative diabetes incidence persisted, although to a lesser degree than at DPP end (2).”
The incidence of diabetes was reduced in the lifestyle intervention and metformin arms compared with placebo by 58% and 31%, respectively, after a mean of 2.8 years of follow-up during the masked treatment phase.
“The incidence of diabetes was reduced in the lifestyle intervention and metformin arms compared with placebo by 58% and 31%, respectively, after a mean of 2.8 years of follow-up during the masked treatment phase.”
The Diabetes Prevention Program (DPP) lifestyle intervention reduces the risk of diabetes in individuals with prediabetes, demonstrating 58% risk reduction over 3 years.
“The Diabetes Prevention Program (DPP) lifestyle intervention is the criterion standard for reducing the risk of diabetes in individuals with prediabetes, demonstrating 58% risk reduction over 3 years.5,6”
From An AI-Powered Lifestyle Intervention vs Human Coaching in the Diabetes Prevention Program: A Randomized Clinical Trial (2025) · cites this paper as [5]
Extended follow-up of the DPP in the U.S. DPPOS showed a 34% reduction at 10 years and 27% reduction at 15 years in rate of conversion to type 2 diabetes.
“34% reduction at 10 years (28) and 27% reduction at 15 years extended followup of the DPP (31) in the U.S. Diabetes Prevention Program Outcomes Study (DPPOS).”
From Nutrition Therapy for Adults With Diabetes or Prediabetes: A Consensus Report (2019) · cites this paper as [28]
The most successful weight-loss trials to date-including the STEP program for semaglutide and the SURMOUNT program for tirzepatide-have incorporated intensive lifestyle interventions as a core component of the trial protocol, modeled on the structured behavioral curricula pioneered by the Diabetes Prevention Program.
“The most successful weight-loss trials to date—including the STEP program for semaglutide [9] and the SURMOUNT program for tirzepatide [13]—have incorporated intensive lifestyle interventions as a core component of the trial protocol, modeled on the structured behavioral curricula pioneered by the Diabetes Prevention Program (DPP) [76,77].”
From Adherence and Persistence with GLP-1-Based Therapies: International Real-World Evidence and the Role of Nutritional and Lifestyle Support—A Narrative Review (2026) · cites this paper as [76]
The DASH diet lowers blood pressure and is especially effective in people who are hypertensive at baseline and/or self-identify as African American.
“The DASH diet has been shown to reduce BP and is particularly effective in individuals who were hypertensive at baseline and/or self-identified as African American.817,818”
From American Association of Clinical Endocrinology Clinical Practice Guideline: Developing a Diabetes Mellitus Comprehensive Care Plan-2022 Update. (2022) · cites this paper as [818]
The Methods (Participants) describe a weight-loss and physical-activity intervention, not the DASH diet. The Results report lower blood pressure in that lifestyle group, but the passages found for DASH and baseline hypertension or African American identity do not address the claimed diet-specific effect or subgroup differences. Page numbers were not available in our copy. (LLM, conf=0.76)
Experimental — accuracy not yet measuredThe lower control-group diabetes incidence estimates used in the model were calculated based on published estimates of diabetes incidence from the CDC.
“These lower estimates were calculated based on published estimates of diabetes incidence from the CDC”
From Clinical and Economic Impact of a Digital, Remotely-Delivered Intensive Behavioral Counseling Program on Medicare Beneficiaries at Risk for Diabetes and Cardiovascular Disease (2016) · cites this paper as [2]
The Results section reports that diabetes incidence fell in the study’s placebo group during follow-up. Neither it nor the Methods passages describe lower control-group estimates calculated for a model from published CDC incidence estimates (searched: CDC, published estimates, control-group model). (LLM, conf=0.76)
Experimental — accuracy not yet measuredFor the population with an average BMI ≥27 and at least one additional risk factor (hypertension, type 2 diabetes, and/or dyslipidemia), Thorpe et al. projected that 10% sustained weight loss could generate $8,648 (inflated to 2015 USD) in direct medical savings over 10 years.
“For the population with an average BMI ≥27 and at least one additional risk factor (hypertension, type 2 diabetes, and/or dyslipidemia), Thorpe et al. projected that 10% sustained weight loss could generate $8,648 (inflated to 2015 USD) in direct medical savings over 10 years.”
From Clinical and Economic Impact of a Digital, Remotely-Delivered Intensive Behavioral Counseling Program on Medicare Beneficiaries at Risk for Diabetes and Cardiovascular Disease (2016) · cites this paper as [2]
The Results and Discussion report weight change and diabetes incidence over 10 years, not a projection of medical savings. The Discussion mentions economic assessments only as a future objective. Searches for Thorpe, $8,648, and savings from sustained 10% weight loss found no passage supporting the attributed claim; no page numbers were available in our copy. (LLM, conf=0.78)
Experimental — accuracy not yet measuredRecent major studies found annualised diabetes incidence of 11% in the DPP Outcomes Study, 6% among MESA participants with IFG, 9% among Japanese participants with IFG, and 7% among those with A1c 5.7-6.4%.
“In more recent major studies, progression estimates have been similar: the annualised incidence was 11% in the Diabetes Prevention Program (DPP) Outcomes Study,15 6% among participants with IFG in the US Multi-Ethnic Study of Atherosclerosis (MESA),16 9% among participants with IFG and 7% among those with an A1c 5.7–6.4% in a Japanese population-based study.17”
From Prediabetes: a high-risk state for diabetes development (2012) · cites this paper as [15]
Several trials have demonstrated reductions in the risk of developing diabetes among prediabetic individuals after lifestyle and drug-based interventions.
“Several trials have demonstrated reductions in the risk of developing diabetes among prediabetic individuals after lifestyle and drug-based interventions.15,24–28”
From Prediabetes: a high-risk state for diabetes development (2012) · cites this paper as [15]
In the DPP Outcomes study, 19% of controls converted to normoglycaemia.
“Other studies have reported lower conversion rates29 (19% in controls in the DPP Outcomes study).15”
From Prediabetes: a high-risk state for diabetes development (2012) · cites this paper as [15]
Lifestyle and drug-based interventions lower the long-term risk of diabetes or postpone its onset.
“Several trials support a long-term reduction in diabetes risk or a delay in the onset of the disease as a result of lifestyle and drug-based interventions.15,19,116–118”
From Prediabetes: a high-risk state for diabetes development (2012) · cites this paper as [15]
Diabetes can be prevented in high-risk obese adults with impaired glucose tolerance through diet and exercise interventions.
“diabetes can be prevented in high-risk obese adults with impaired glucose tolerance through diet and exercise interventions [692,693].”
From Global consensus on optimal exercise recommendations for enhancing healthy longevity in older adults (ICFSR) (2025) · cites this paper as [693]
In the TEAMcare trial, more than 50% reductions in depression scores were observed over three times more often in the collaborative care treatment group than in the control condition, alongside improved perceived self-efficacy and greater patient satisfaction with medical care.
“More than 50% reductions in depression scores were also observed over 3 times more often in the CC treatment group compared to control condition (OR 3.37; 95% CI 1.84 -6.17), alongside improved perceived self-efficacy, and greater patient satisfaction with medical care.[361][362][363]”
From The Lancet Psychiatry Commission: a blueprint for protecting physical health in people with mental illness (2019) · cites this paper as [362]
Follow-up of 3 large studies of lifestyle intervention for diabetes prevention has shown sustained reduction in the rate of conversion to T2DM: 43% reduction at 20 years in Da Qing, 43% at 7 years and 34% at 10 years in Finnish DPS, and 27% at 15 years in DPP.
“Moreover, follow-up of 3 large studies of lifestyle intervention for diabetes prevention has shown sustained reduction in the rate of conversion to T2DM: 43% reduction at 20 years in the Da Qing Diabetes Prevention Study [134]; 43% reduction at 7 years in the Finnish Diabetes Prevention Study [135] and 34% reduction at 10 years [132], and 27% reduction at 15 years extended follow-up in the DPP [”
From Effects of diet, lifestyle, Chrononutrition and alternative dietary interventions on postprandial Glycemia and insulin resistance (2022) · cites this paper as [132]
Several trials of multi-component lifestyle interventions demonstrated benefits on reducing type 2 diabetes risk and improving cardiovascular health among high-risk individuals, although long-term benefits on reducing cardiovascular disease events among diabetic patients were less established.
“Several trials that examined the efficacy of multi-component lifestyle interventions have demonstrated tremendous benefits on reducing T2D risk and improving cardiovascular health among high-risk individuals (7–12), although the long-term benefits on reducing CVD events among diabetic patients were less established (6).”
From Influence of lifestyle on incident cardiovascular disease and mortality in patients with diabetes mellitus (2018) · cites this paper as [7]
After a median of 10 years of follow-up since DPP randomization, both the lifestyle and metformin intervention groups had significantly less diabetes than the placebo group.
“After a median of 10 years of follow-up since DPP randomization, both the lifestyle and metformin intervention groups had significantly less diabetes than the placebo group (6).”
From Long-Term Safety, Tolerability, and Weight Loss Associated With Metformin in the Diabetes Prevention Program Outcomes Study (2012) · cites this paper as [6]
Weight loss in the metformin group was maintained throughout the combined DPP and DPPOS period, with metformin participants having an average 2.5-kg weight loss over time.
“Weight loss in the metformin group was maintained throughout the combined DPP and DPPOS period with metformin participants having an average 2.5-kg weight loss over time (6).”
From Long-Term Safety, Tolerability, and Weight Loss Associated With Metformin in the Diabetes Prevention Program Outcomes Study (2012) · cites this paper as [6]
Diabetes incidence 10 years since Diabetes Prevention Program randomization was reduced by 34% in the lifestyle group and 18% in the metformin group.
“Diabetes incidence 10 years since DPP randomization was reduced by 34% and 18% in the lifestyle and metformin group, respectively [11] (Table 1).”
From Metformin: An Old But Still the Best Treatment for Type 2 Diabetes (2013) · cites this paper as [11]
In the Diabetes Prevention Program Outcomes Study, diabetes incidence rates were similar between lifestyle, metformin, and placebo groups (5.9, 4.9, and 5.6 per 100 person-years, respectively).
“Diabetes incidence rates were similar between treatment groups: 5.9 per 100 person-years (5.1–6.8) for lifestyle, 4.9 (4.2–5.7) for metformin, and 5.6 (4.8–6.5) for placebo.”
From Metformin: An Old But Still the Best Treatment for Type 2 Diabetes (2013) · cites this paper as [11]
Follow-up of the DPP cohort for 10 years after randomization showed ongoing greater impact of the original lifestyle intervention in older participants (49% risk reduction in those over age 60 years at randomization vs. 34% for the total cohort).
“Follow-up of the DPP cohort for 10 years after randomization showed ongoing greater impact of the original lifestyle intervention in older participants (49% risk reduction in those over age 60 years at randomization vs. 34% for the total cohort)19”
From Diabetes in Older Adults: A Consensus Report (2012) · cites this paper as [19]
In the Diabetes Prevention Program, the annual incidence of diabetes in patients with IGT was 11% in the control group.
“In the Diabetes Prevention Program (DPP), the annual incidence of diabetes in patients with IGT was 11% in the control group.”
From The Vasculature in Prediabetes (2018) · cites this paper as [18]
At ten years, the sustained risk reduction was 34% in the lifestyle arm compared to placebo even though weights were no longer different between groups.
“At ten years, the sustain risk reduction was 34% in the lifestyle arm compared to placebo even though weights were no longer different between groups.”
From The Vasculature in Prediabetes (2018) · cites this paper as [18]
Cites
Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin
(2002) · New England Journal of Medicine · doi:10.1056/nejmoa012512 · Cited by 19,011 · see citing works
Self-citationWild, S., Roglic, G., Green, A., Sicree, R., & King, H. (2004) · Diabetes Care · doi:10.2337/diacare.27.5.1047 · Cited by 15,297 · see citing works
Tuomilehto, J., Lindström, J., Eriksson, J. G., Valle, T. T., Hämäläinen, H., Ilanne-Parikka, P., Keinänen-Kiukaanniemi, S., Laakso, M., Louheranta, A., Rastas, M., et al. (2001) · New England Journal of Medicine · doi:10.1056/nejm200105033441801 · Cited by 10,873 · see citing works
Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus
The Expert Committee on the Diagnosis and Classification of Diabetes Mellitus* (2002) · Diabetes Care · doi:10.2337/diacare.25.2007.s5 · Cited by 10,320 · see citing works
Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus
The Expert Committee on the Diagnosis and Classification of Diabetes Mellitus (1997) · Diabetes Care · doi:10.2337/diacare.20.7.1183 · Cited by 6,220 · see citing works
Lifestyle, diabetes, and cardiovascular risk factors 10 years after bariatric surgery
Sjöström, L., Lindroos, A.-K., Peltonen, M., Torgerson, J., Bouchard, C., Carlsson, B., Dahlgren, S., Larsson, B., Narbro, K., Sjöström, C. D., et al. (2004) · New England Journal of Medicine · doi:10.1056/nejmoa035622 · Cited by 4,457 · see citing works
Pan, X.-R., Li, G.-W., Hu, Y.-H., Wang, J.-X., Yang, W.-Y., An, Z.-X., Hu, Z.-X., Juan-Lin, Xiao, J.-Z., Cao, H.-B., et al. (1997) · Diabetes Care · doi:10.2337/diacare.20.4.537 · Cited by 4,320 · see citing works
Follow-up report on the diagnosis of diabetes mellitus
The Expert Committee on the Diagnosis and Classification of Diabetes Mellitus* (2003) · Diabetes Care · doi:10.2337/diacare.26.11.3160 · Cited by 3,784 · see citing works
Acarbose for prevention of type 2 diabetes mellitus: the STOP-NIDDM randomised trial
Chiasson, J.-L., Josse, R. G., Gomis, R., Hanefeld, M., Karasik, A., & Laakso, M. (2002) · The Lancet · doi:10.1016/s0140-6736(02)08905-5 · Cited by 2,543 · see citing works
Ramachandran, A., Snehalatha, C., Mary, S., Mukesh, B., Bhaskar, A. D., Vijay, V., & Indian Diabetes Prevention Programme (IDPP) (2006) · Diabetologia · doi:10.1007/s00125-005-0097-z · Cited by 1,881 · see citing works
Lindström, J., Ilanne-Parikka, P., Peltonen, M., Aunola, S., Eriksson, J. G., Hemiö, K., Hämäläinen, H., Härkönen, P., Keinänen-Kiukaanniemi, S., Laakso, M., et al. (2006) · The Lancet · doi:10.1016/s0140-6736(06)69701-8 · Cited by 1,799 · see citing works
Li, G., Zhang, P., Wang, J., Gregg, E. W., Yang, W., Gong, Q., Li, H., Li, H., Jiang, Y., An, Y., et al. (2008) · The Lancet · doi:10.1016/s0140-6736(08)60766-7 · Cited by 1,600 · see citing works
Effect of weight loss with lifestyle intervention on risk of diabetes
Hamman, R. F., Wing, R. R., Edelstein, S. L., Lachin, J. M., Bray, G. A., Delahanty, L., Hoskin, M., Kriska, A. M., Mayer-Davis, E. J., Pi-Sunyer, X., et al. (2006) · Diabetes Care · doi:10.2337/dc06-0560 · Cited by 1,344 · see citing works
Analysis of Longitudinal Data.
Have, T. R. T., Diggle, P. J., Liang, K., & Zeger, S. L. (1995) · Journal of the American Statistical Association · doi:10.2307/2291352 · Cited by 1,171 · see citing works
Gillies, C. L., Abrams, K. R., Lambert, P. C., Cooper, N. J., Sutton, A. J., Hsu, R. T., & Khunti, K. (2007) · BMJ · doi:10.1136/bmj.39063.689375.55 · Cited by 1,171 · see citing works
The Burden of Mortality Attributable to Diabetes
Roglić, G., Unwin, N. C., Bennett, P. H., Mathers, C. D., Tuomilehto, J. O., Nag, S., Connolly, V. M., & King, H. O. M. (2005) · Diabetes Care · doi:10.2337/diacare.28.9.2130 · Cited by 809 · see citing works
(1999) · Diabetes Care · doi:10.2337/diacare.22.4.623 · Cited by 725 · see citing works
Herman, W. H., Hoerger, T. J., Brandle, M., Hicks, K., Sorensen, S., Zhang, P., Hamman, R. F., Ackermann, R. T., Engelgau, M. M., Ratner, R. E., et al. (2005) · Annals of Internal Medicine · doi:10.7326/0003-4819-142-5-200503010-00007 · Cited by 703 · see citing works
The Diabetes Prevention Program Research Group (2005) · Diabetes Care · doi:10.2337/diacare.28.4.888 · Cited by 572 · see citing works
Applied Mixed Models in Medicine
Ziegel, E. R., Brown, H. K., & Prescott, R. J. (2000) · Technometrics · doi:10.2307/1270978 · Cited by 451 · see citing works
The natural history of impaired glucose tolerance in the Pima Indians
Saad, M. F., Knowler, W. C., Pettitt, D. J., Nelson, R. G., Mott, D. M., & Bennett, P. H. (1988) · New England Journal of Medicine · doi:10.1056/nejm198812083192302 · Cited by 413 · see citing works
The Diabetes Prevention Program Research Group (2005) · Diabetes · doi:10.2337/diabetes.54.5.1566 · Cited by 333 · see citing works
Clinical Outcomes and Cost-Effectiveness of Strategies for Managing People at High Risk for Diabetes
Eddy, D. M., Schlessinger, L., & Kahn, R. (2005) · Annals of Internal Medicine · doi:10.7326/0003-4819-143-4-200508160-00006 · Cited by 316 · see citing works
The prevention of type 2 diabetes
F. T. D. P. P. R. G., Crandall, J. P., Knowler, W. C., Kahn, S. E., Marrero, D., Florez, J. C., Bray, G. A., Haffner, S. M., Hoskin, M., & Nathan, D. M. (2008) · Nature Clinical Practice Endocrinology & Metabolism · doi:10.1038/ncpendmet0843 · Cited by 261 · see citing works
The Diabetes Prevention Program Research Group (2003) · Diabetes Care · doi:10.2337/diacare.26.4.977 · Cited by 218 · see citing works
The Diabetes Prevention Program Research Group, Venditti, E. M., Bray, G. A., Carrion-Petersen, M. L., Delahanty, L. M., Edelstein, S. L., Hamman, R. F., Hoskin, M. A., Knowler, W. C., & Ma., Y. (2008) · International Journal of Obesity · doi:10.1038/ijo.2008.134 · Cited by 93 · see citing works
Strategies to Identify Adults at High Risk for Type 2 Diabetes
(2005) · Diabetes Care · doi:10.2337/diacare.28.1.138 · Cited by 78 · see citing works
Trying To Predict the Future for People with Diabetes: A Tough but Important Task
Engelgau, M. M. (2005) · Annals of Internal Medicine · doi:10.7326/0003-4819-143-4-200508160-00011 · Cited by 25 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Standards of medical care in diabetes—2014
American Diabetes Association (2014) · Diabetes Care · doi:10.2337/dc14-s014 · Cited by 4,572 · see citing works
Standards of medical care in diabetes—2013
American Diabetes Association (2013) · Diabetes Care · doi:10.2337/dc13-s011 · Cited by 4,369 · see citing works
Kyu, H. H., Abate, D., Abate, K. H., Abay, S. M., Abbafati, C., Abbasi, N., Abbastabar, H., Abd-Allah, F., Abdela, J., Abdelalim, A., et al. (2018) · The Lancet · doi:10.1016/s0140-6736(18)32335-3 · Cited by 4,112 · see citing works
2013 AHA/ACC/TOS Guideline for the Management of Overweight and Obesity in Adults
Jensen, M. D., Ryan, D. H., Apovian, C. M., Ard, J. D., Comuzzie, A. G., Donato, K. A., Hu, F. B., Hubbard, V. S., Jakicic, J. M., Kushner, R. F., et al. (2014) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2013.11.004 · Cited by 4,058 · see citing works
Prediabetes: a high-risk state for diabetes development
Tabák, A. G., Herder, C., Rathmann, W., Brunner, E. J., & Kivimäki, M. (2012) · The Lancet · doi:10.1016/s0140-6736(12)60283-9 · Cited by 2,958 · see citing works
Cardiovascular effects of intensive lifestyle intervention in type 2 diabetes
The Look AHEAD Research Group (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1212914 · Cited by 2,908 · see citing works
Standards of medical care in diabetes—2011
American Diabetes Association (2011) · Diabetes Care · doi:10.2337/dc11-s011 · Cited by 2,880 · see citing works
2013 AHA/ACC/TOS Guideline for the Management of Overweight and Obesity in Adults
Jensen, M. D., Ryan, D. H., Apovian, C. M., Ard, J. D., Comuzzie, A. G., Donato, K. A., Hu, F. B., Hubbard, V. S., Jakicic, J. M., Kushner, R. F., et al. (2014) · Circulation · doi:10.1161/01.cir.0000437739.71477.ee · Cited by 2,735 · see citing works
DeFronzo, R. A., Ferrannini, E., Groop, L., Henry, R. R., Herman, W. H., Holst, J. J., Hu, F. B., Kahn, C. R., Raz, I., Shulman, G. I., et al. (2015) · Nature Reviews Disease Primers · doi:10.1038/nrdp.2015.19 · Cited by 2,611 · see citing works
Standards of Medical Care in Diabetes—2012
(2012) · Diabetes Care · doi:10.2337/dc12-s011 · Cited by 2,240 · see citing works
2020 ESC guidelines on sports cardiology and exercise in patients with cardiovascular disease
Pelliccia, A., Sharma, S., Gati, S., Bäck, M., Börjesson, M., Caselli, S., Collet, J.-P., Corrado, D., Drezner, J. A., Halle, M., et al. (2021) · European Heart Journal · doi:10.1093/eurheartj/ehaa605 · Cited by 1,958 · see citing works
Authors Task Force Members, Rydén, L., Grant, P. J., Anker, S. D., Berne, C., Cosentino, F., Danchin, N., Deaton, C., Escaned, J., Hammes, H., et al. (2013) · European Heart Journal · doi:10.1093/eurheartj/eht108 · Cited by 1,958 · see citing works
Garvey, W. T., Mechanick, J. I., Brett, E. M., Garber, A. J., Hurley, D. L., Jastreboff, A. M., Nadolsky, K., Pessah-Pollack, R., & Plodkowski, R. (2016) · Endocrine Practice · doi:10.4158/ep161365.gl · Cited by 1,914 · see citing works
Mechanisms, Pathophysiology, and Management of Obesity
Heymsfield, S. B., & Wadden, T. A. (2017) · New England Journal of Medicine · doi:10.1056/nejmra1514009 · Cited by 1,867 · see citing works
Sjöström, L. (2013) · Journal of Internal Medicine · doi:10.1111/joim.12012 · Cited by 1,835 · see citing works
Lin, X., Xu, Y., Pan, X., Xu, J., Ding, Y., Sun, X., Song, X., Ren, Y., & Shan, P. (2020) · Scientific Reports · doi:10.1038/s41598-020-71908-9 · Cited by 1,873 · see citing works
Pathophysiology and treatment of type 2 diabetes: perspectives on the past, present, and future
Kahn, S. E., Cooper, M. E., & Del Prato, S. (2014) · The Lancet · doi:10.1016/s0140-6736(13)62154-6 · Cited by 1,743 · see citing works
Firth, J., Siddiqi, N., Koyanagi, A., Siskind, D., Rosenbaum, S., Galletly, C., Allan, S., Caneo, C., Carney, R., Carvalho, A. F., et al. (2019) · The Lancet Psychiatry · doi:10.1016/s2215-0366(19)30132-4 · Cited by 1,531 · see citing works
Nutrition Therapy for Adults With Diabetes or Prediabetes: A Consensus Report
Evert, A. B., Dennison, M., Gardner, C. D., Garvey, W. T., Lau, K. H. K., MacLeod, J., Mitri, J., Pereira, R. F., Rawlings, K., Robinson, S., et al. (2019) · Diabetes Care · doi:10.2337/dci19-0014 · Cited by 1,496 · see citing works
Gloy, V. L., Briel, M., Bhatt, D. L., Kashyap, S. R., Schauer, P. R., Mingrone, G., Bucher, H. C., & Nordmann, A. J. (2013) · BMJ · doi:10.1136/bmj.f5934 · Cited by 1,351 · see citing works
International exercise recommendations in older adults (ICFSR): Expert consensus guidelines
Izquierdo, M., Merchant, R. A., Morley, J. E., Anker, S. D., Aprahamian, I., Arai, H., Aubertin-Leheudre, M., Bernabei, R., Cadore, E. L., Cesari, M., et al. (2021) · The Journal of nutrition, health and aging · doi:10.1007/s12603-021-1665-8 · Cited by 1,247 · see citing works
Kirkman, M. S., Briscoe, V. J., Clark, N., Florez, H., Haas, L. B., Halter, J. B., Huang, E. S., Korytkowski, M. T., Munshi, M. N., Odegard, P. S., et al. (2012) · Diabetes Care · doi:10.2337/dc12-1801 · Cited by 1,274 · see citing works
(2015) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(15)00291-0 · Cited by 1,029 · see citing works
Centers for Disease Control and Prevention (CDC)
García-Basteiro, A. L. (2011) · Encyclopedia of Disaster Relief · doi:10.4135/9781412994064.n25 · Cited by 1,021 · see citing works
Bray, G. A., Frühbeck, G., Ryan, D. H., & Wilding, J. P. H. (2016) · The Lancet · doi:10.1016/s0140-6736(16)00271-3 · Cited by 1,036 · see citing works
Adipose tissue expandability, lipotoxicity and the Metabolic Syndrome — An allostatic perspective
Virtue, S., & Vidal-Puig, A. (2010) · Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids · doi:10.1016/j.bbalip.2009.12.006 · Cited by 1,013 · see citing works
Rebok, G. W., Ball, K., Guey, L. T., Jones, R. N., Kim, H., King, J. W., Marsiske, M., Morris, J. N., Tennstedt, S. L., Unverzagt, F. W., et al. (2014) · Journal of the American Geriatrics Society · doi:10.1111/jgs.12607 · Cited by 965 · see citing works
KANALEY, J. A., COLBERG, S. R., CORCORAN, M. H., MALIN, S. K., RODRIGUEZ, N. R., CRESPO, C. J., KIRWAN, J. P., & ZIERATH, J. R. (2022) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000002800 · Cited by 931 · see citing works
Human postprandial responses to food and potential for precision nutrition
Berry, S. E., Valdes, A. M., Drew, D. A., Asnicar, F., Mazidi, M., Wolf, J., Capdevila, J., Hadjigeorgiou, G., Davies, R., Al Khatib, H., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0934-0 · Cited by 932 · see citing works
Metformin and Cancer Risk in Diabetic Patients: A Systematic Review and Meta-analysis
DeCensi, A., Puntoni, M., Goodwin, P., Cazzaniga, M., Gennari, A., Bonanni, B., & Gandini, S. (2010) · Cancer Prevention Research · doi:10.1158/1940-6207.capr-10-0157 · Cited by 918 · see citing works
Reduction in the Incidence of Type 2 Diabetes With the Mediterranean Diet
Salas-Salvadó, J., Bulló, M., Babio, N., Martínez-González, M. Á., Ibarrola-Jurado, N., Basora, J., Estruch, R., Covas, M. I., Corella, D., Arós, F., et al. (2011) · Diabetes Care · doi:10.2337/dc10-1288 · Cited by 901 · see citing works
Wearable Pressure Sensors for Pulse Wave Monitoring
Meng, K., Xiao, X., Wei, W., Chen, G., Nashalian, A., Shen, S., Xiao, X., & Chen, J. (2022) · Advanced Materials · doi:10.1002/adma.202109357 · Cited by 883 · see citing works
Grundy, S. M. (2016) · Trends in Cardiovascular Medicine · doi:10.1016/j.tcm.2015.10.004 · Cited by 882 · see citing works
Garber, A. J., Abrahamson, M. J., Barzilay, J. I., Blonde, L., Bloomgarden, Z. T., Bush, M. A., Dagogo-Jack, S. E., DeFronzo, R. A., EINHORN, D. F., Fonseca, V. A., et al. (2016) · Endocrine Practice · doi:10.4158/ep151126.cs · Cited by 874 · see citing works
The complex link between NAFLD and type 2 diabetes mellitus - mechanisms and treatments
Targher, G., Corey, K. E., Byrne, C. D., & Roden, M. (2021) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-021-00448-y · Cited by 850 · see citing works
Eight-year weight losses with an intensive lifestyle intervention: The look AHEAD study
The Look AHEAD Research Group (2014) · Obesity · doi:10.1002/oby.20662 · Cited by 842 · see citing works
“34 Look AHEAD’s long-term weight loss maintenance intervention, which included monthly or twice monthly individual contacts combined with periodic group meetings (i.e., refresher groups and national campaigns), was modeled on the DPP 11,21 and similar protocols.”
InfluentialThe science of obesity management: an endocrine society scientific statement
Bray, G. A., Heisel, W. E., Afshin, A., Jensen, M. D., Dietz, W. H., Long, M., Kushner, R. F., Daniels, S. R., Wadden, T. A., Tsai, A. G., et al. (2018) · Endocrine Reviews · doi:10.1210/er.2017-00253 · Cited by 812 · see citing works
† (2014) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(14)70102-0 · Cited by 800 · see citing works
Bariatric surgery and prevention of type 2 diabetes in Swedish obese subjects
Carlsson, L. M. S., Peltonen, M., Ahlin, S., Anveden, Å., Bouchard, C., Carlsson, B., Jacobson, P., Lönroth, H., Maglio, C., Näslund, I., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1112082 · Cited by 794 · see citing works
National Lipid Association Recommendations for Patient-Centered Management of Dyslipidemia: Part 2
Jacobson, T. A., Maki, K. C., Orringer, C. E., Jones, P. H., Kris-Etherton, P., Sikand, G., La Forge, R., Daniels, S. R., Wilson, D. P., Morris, P. B., et al. (2015) · Journal of Clinical Lipidology · doi:10.1016/j.jacl.2015.09.002 · Cited by 784 · see citing works
Neurobiology of food intake in health and disease
Morton, G. J., Meek, T. H., & Schwartz, M. W. (2014) · Nature Reviews Neuroscience · doi:10.1038/nrn3745 · Cited by 748 · see citing works
Pioglitazone for Diabetes Prevention in Impaired Glucose Tolerance
DeFronzo, R. A., Tripathy, D., Schwenke, D. C., Banerji, M., Bray, G. A., Buchanan, T. A., Clement, S. C., Henry, R. R., Hodis, H. N., Kitabchi, A. E., et al. (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1010949 · Cited by 752 · see citing works
Samson, S. L., & Garber, A. J. (2014) · Endocrinology and Metabolism Clinics of North America · doi:10.1016/j.ecl.2013.09.009 · Cited by 782 · see citing works
Obesity Pathogenesis: An Endocrine Society Scientific Statement
Schwartz, M. W., Seeley, R. J., Zeltser, L. M., Drewnowski, A., Ravussin, E., Redman, L. M., & Leibel, R. L. (2017) · Endocrine Reviews · doi:10.1210/er.2017-00111 · Cited by 727 · see citing works
A Randomized, Controlled Trial of Liraglutide for Adolescents with Obesity
Kelly, A. S., Auerbach, P., Barrientos-Perez, M., Gies, I., Hale, P. M., Marcus, C., Mastrandrea, L. D., Prabhu, N., & Arslanian, S. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa1916038 · Cited by 723 · see citing works
Obesity: Risk factors, complications, and strategies for sustainable long‐term weight management
Fruh, S. M. (2017) · Journal of the American Association of Nurse Practitioners · doi:10.1002/2327-6924.12510 · Cited by 709 · see citing works
Li, G., Zhang, P., Wang, J., An, Y., Gong, Q., Gregg, E. W., Yang, W., Zhang, B., Shuai, Y., Hong, J., et al. (2014) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(14)70057-9 · Cited by 684 · see citing works
Health benefits of gastric bypass surgery after 6 years
Adams, T. D., Davidson, L. E., Litwin, S. E., Kolotkin, R. L., LaMonte, M. J., Pendleton, R. C., Strong, M. B., Vinik, R., Wanner, N. A., Hopkins, P. N., et al. (2012) · JAMA · doi:10.1001/2012.jama.11164 · Cited by 674 · see citing works
Lifestyle modification approaches for the treatment of obesity in adults.
Wadden, T. A., Tronieri, J. S., & Butryn, M. L. (2020) · American Psychologist · doi:10.1037/amp0000517 · Cited by 661 · see citing works
Prevention of Diabetes With Mediterranean Diets: A Subgroup Analysis of a Randomized Trial
Salas-Salvadó, J., Bulló, M., Estruch, R., Ros, E., Covas, M.-I., Ibarrola-Jurado, N., Corella, D., Arós, F., Gómez-Gracia, E., Ruiz-Gutiérrez, V., et al. (2014) · Annals of Internal Medicine · doi:10.7326/m13-1725 · Cited by 650 · see citing works
Gong, Q., Zhang, P., Wang, J., Ma, J., An, Y., Chen, Y., Zhang, B., Feng, X., Li, H., Chen, X., et al. (2019) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(19)30093-2 · Cited by 615 · see citing works
Gadde (2018) · doi:10.1016/j.jacc.2017.11.011 · Cited by 626 · see citing works
Handelsman, Y., Bloomgarden, Z. T., Grunberger, G., Umpierrez, G. E., Zimmerman, R. S., Bailey, T. S., Blonde, L., Bray, G. A., Cohen, A. J., Dagogo-Jack, S. E., et al. (2015) · Endocrine Practice · doi:10.4158/ep15672.gl · Cited by 631 · see citing works
Rydén, L., Grant, P. J., Anker, S. D., Berne, C., Cosentino, F., Danchin, N., Deaton, C., Escaned, J., Hammes, H., Huikuri, H., et al. (2014) · Revista Española de Cardiología (English Edition) · doi:10.1016/j.rec.2013.10.013 · Cited by 609 · see citing works
Prediabetes diagnosis and treatment: A review
Bansal, N. (2015) · World Journal of Diabetes · doi:10.4239/wjd.v6.i2.296 · Cited by 579 · see citing works
Garber, A. J., Handelsman, Y., Grunberger, G., Einhorn, D., Abrahamson, M. J., Barzilay, J. I., Blonde, L., Bush, M. A., DeFronzo, R. A., Garber, J. R., et al. (2020) · Endocrine Practice · doi:10.4158/cs-2019-0472 · Cited by 598 · see citing works
Lifestyle Modification for Obesity
Wadden, T. A., Webb, V. L., Moran, C. H., & Bailer, B. A. (2012) · Circulation · doi:10.1161/circulationaha.111.039453 · Cited by 573 · see citing works
Treatment of Diabetes in Older Adults: An Endocrine Society* Clinical Practice Guideline
LeRoith, D., Biessels, G. J., Braithwaite, S. S., Casanueva, F. F., Draznin, B., Halter, J. B., Hirsch, I. B., McDonnell, M. E., Molitch, M. E., Murad, M. H., et al. (2019) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2019-00198 · Cited by 586 · see citing works
Metformin: An Old But Still the Best Treatment for Type 2 Diabetes
Rojas, L. B. A., & Gomes, M. B. (2013) · Diabetology & Metabolic Syndrome · doi:10.1186/1758-5996-5-6 · Cited by 567 · see citing works
Handelsman, Y., Bloomgarden, Z. T., Grunberger, G., Umpierrez, G., Zimmerman, R. S., Bailey, T. S., Blonde, L., Bray, G. A., Cohen, A. J., Dagogo-Jack, S., et al. (2015) · Endocrine Practice · doi:10.4158/ep15672.glsuppl · Cited by 559 · see citing works
Insulin Resistance and Atherosclerosis: Implications for Insulin-Sensitizing Agents
Di Pino, A., & DeFronzo, R. A. (2019) · Endocrine Reviews · doi:10.1210/er.2018-00141 · Cited by 535 · see citing works
(DPS), F. T. F. D. P. S., Lindström, J., Peltonen, M., Eriksson, J. G., Ilanne-Parikka, P., Aunola, S., Keinänen-Kiukaanniemi, S., Uusitupa, M., & Tuomilehto, J. (2013) · Diabetologia · doi:10.1007/s00125-012-2752-5 · Cited by 551 · see citing works
“These findings are consistent with the China Da Qing Diabetes Prevention Study [8], which had a 43% lower diabetes incidence over 20 years, and with the US Diabetes Prevention Program Outcomes Study [9], which had a 34% lower diabetes incidence over 10 years in the active intervention group.”
ResultImpact of diabetes on cardiovascular disease: an update
Matheus, A. S. D. M., Tannus, L. R. M., Cobas, R. A., Palma, C. C. S., Negrato, C. A., & Gomes, M. D. B. (2013) · International Journal of Hypertension · doi:10.1155/2013/653789 · Cited by 547 · see citing works
“Therefore, efforts should be made to encourage the adoption of healthy lifestyle and thus to combat the obesity epidemic.”
BackgroundDiabetes in Older Adults: A Consensus Report
Sue Kirkman, M., Briscoe, V. J., Clark, N., Florez, H., Haas, L. B., Halter, J. B., Huang, E. S., Korytkowski, M. T., Munshi, M. N., Odegard, P. S., et al. (2012) · Journal of the American Geriatrics Society · doi:10.1111/jgs.12035 · Cited by 548 · see citing works
Perreault, L., Pan, Q., Mather, K. J., Watson, K. E., Hamman, R. F., & Kahn, S. E. (2012) · The Lancet · doi:10.1016/s0140-6736(12)60525-x · Cited by 532 · see citing works
Long-term metformin use and vitamin B12 deficiency in the Diabetes Prevention Program Outcomes Study
Aroda, V. R., Edelstein, S. L., Goldberg, R. B., Knowler, W. C., Marcovina, S. M., Orchard, T. J., Bray, G. A., Schade, D. S., Temprosa, M. G., White, N. H., et al. (2016) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2015-3754 · Cited by 536 · see citing works
Schellenberg, E. S., Dryden, D. M., Vandermeer, B., Ha, C., & Korownyk, C. (2013) · Annals of Internal Medicine · doi:10.7326/0003-4819-159-8-201310150-00007 · Cited by 520 · see citing works
Handelsman, Y., Mechanick, J. I., Blonde, L., Grunberger, G., Bloomgarden, Z. T., Bray, G. A., Dagogo-Jack, S., Davidson, J. A., Einhorn, D., Ganda, O., et al. (2011) · Endocrine Practice · doi:10.4158/ep.17.s2.1 · Cited by 513 · see citing works
Garber, A. J., Abrahamson, M. J., Barzilay, J. I., Blonde, L., Bloomgarden, Z. T., Bush, M. A., Dagogo-Jack, S. E., DeFronzo, R. A., EINHORN, D. F., Fonseca, V. A., et al. (2018) · Endocrine Practice · doi:10.4158/cs-2017-0153 · Cited by 499 · see citing works
Blonde, L., Umpierrez, G. E., Reddy, S. S., McGill, J. B., Berga, S. L., Bush, M., Chandrasekaran, S., DeFronzo, R. A., Einhorn, D., Galindo, R. J., et al. (2022) · Endocrine Practice · doi:10.1016/j.eprac.2022.08.002 · Cited by 507 · see citing works
Hollander, P., Gupta, A. K., Plodkowski, R., Greenway, F., Bays, H., Burns, C., Klassen, P., Fujioka, K., & for the COR-Diabetes Study Group (2013) · Diabetes Care · doi:10.2337/dc13-0234 · Cited by 501 · see citing works
The Diabetes Prevention Program Research Group (2012) · Diabetes Care · doi:10.2337/dc11-1299 · Cited by 494 · see citing works
Diabetes in Asia and the Pacific: Implications for the Global Epidemic
Nanditha, A., Ronald, C. W., Ramachandran, A., Snehalatha, C., Chan, J. C. N., Chia, K. S., Shaw, J. E., & Zimmet, P. (2016) · Diabetes Care · doi:10.2337/dc15-1536 · Cited by 497 · see citing works
Campbell, J. M., Bellman, S. M., Stephenson, M. D., & Lisy., K. (2017) · Ageing Research Reviews · doi:10.1016/j.arr.2017.08.003 · Cited by 455 · see citing works
Effect of nateglinide on the incidence of diabetes and cardiovascular events
(2010) · New England Journal of Medicine · doi:10.1056/nejmoa1001122 · Cited by 477 · see citing works
Aroda, V. R., Christophi, C. A., Edelstein, S. L., Zhang, P., Herman, W. H., Barrett-Connor, E., Delahanty, L. M., Montez, M. G., Ackermann, R. T., Zhuo, X., et al. (2015) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2014-3761 · Cited by 467 · see citing works
Gandini, S., Puntoni, M., Heckman-Stoddard, B. M., Dunn, B. K., Ford, L., DeCensi, A., & Szabo, E. (2014) · Cancer Prevention Research · doi:10.1158/1940-6207.capr-13-0424 · Cited by 457 · see citing works
Prevention of Type 2 Diabetes by Lifestyle Changes: A Systematic Review and Meta-Analysis
Uusitupa, M. I. J., Khan, T. A., Viguiliouk, E., Kahleová, H., Rivellese, A. A., Hermansen, K., Pfeiffer, A. F. H., Thanopoulou, A. C., Salas‐Salvadó, J., Schwab, U., et al. (2019) · Nutrients · doi:10.3390/nu11112611 · Cited by 488 · see citing works
Diagnosis and Management of Prediabetes: A Review
Echouffo-Tcheugui, J. B., Perreault, L., Ji, L., & Dagogo-Jack, S. (2023) · JAMA · doi:10.1001/jama.2023.4063 · Cited by 473 · see citing works
Salas-Salvadó, J., Díaz-López, A., Ruiz-Canela, M., Basora, J., Fitó, M., Corella, D., Serra-Majem, L., Wärnberg, J., Romaguera, D., Estruch, R., et al. (2019) · Diabetes Care · doi:10.2337/dc18-0836 · Cited by 445 · see citing works
The potential of endurance exercise-derived exosomes to treat metabolic diseases
Safdar, A., Saleem, A., & Tarnopolsky, M. A. (2016) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2016.76 · Cited by 463 · see citing works
From NASH to diabetes and from diabetes to NASH: Mechanisms and treatment options
Gastaldelli, A., & Cusi, K. (2019) · JHEP Reports · doi:10.1016/j.jhepr.2019.07.002 · Cited by 455 · see citing works
Tirzepatide for Obesity Treatment and Diabetes Prevention
Jastreboff, A. M., le Roux, C. W., Stefanski, A., Aronne, L. J., Halpern, B., Wharton, S., Wilding, J. P. H., Perreault, L., Zhang, S., Battula, R., et al. (2025) · New England Journal of Medicine · doi:10.1056/nejmoa2410819 · Cited by 462 · see citing works
The 10-Year Cost-Effectiveness of Lifestyle Intervention or Metformin for Diabetes Prevention
The Diabetes Prevention Program Research Group (2012) · Diabetes Care · doi:10.2337/dc11-1468 · Cited by 436 · see citing works
Garber, A. J., Abrahamson, M. J., Barzilay, J. I., Blonde, L., Bloomgarden, Z. T., Bush, M. A., Dagogo-Jack, S., DeFronzo, R. A., Einhorn, D., Fonseca, V. A., et al. (2017) · Endocrine Practice · doi:10.4158/ep161682.cs · Cited by 435 · see citing works
A wellness study of 108 individuals using personal, dense, dynamic data clouds
Price, N. D., Magis, A. T., Earls, J. C., Glusman, G., Levy, R., Lausted, C., McDonald, D. T., Kusebauch, U., Moss, C. L., Zhou, Y., et al. (2017) · Nature Biotechnology · doi:10.1038/nbt.3870 · Cited by 427 · see citing works
Guidelines for Preventive Activities in General Practice
Ackermann, E. W., Harris, M., Alexander, K. L., Arcus, M., Bailey, L., Bennett, J. W., Mar, C. D., Emery, J. D., Ewald, B. D., Ewald, D. P., et al. (2012) · e-publications@bond (Bond University) · Cited by 421 · see citing works
Arnhold, M., Quade, M., & Kirch, W. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.2968 · Cited by 417 · see citing works
Lingvay, I., Cohen, R. V., Roux, C. W. L., & Sumithran, P. (2024) · The Lancet · doi:10.1016/s0140-6736(24)01210-8 · Cited by 433 · see citing works
Chung, W. K., Erion, K., Florez, J. C., Hattersley, A. T., Hivert, M.-F., Lee, C. G., McCarthy, M. I., Nolan, J. J., Norris, J. M., Pearson, E. R., et al. (2020) · Diabetes Care · doi:10.2337/dci20-0022 · Cited by 400 · see citing works
Prediabetes and what it means: the epidemiological evidence
Echouffo-Tcheugui, J. B., & Selvin, E. (2021) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-090419-102644 · Cited by 406 · see citing works
“In addition to a long-term reduction in incident diabetes at 10- and 15-year follow-up (58, 76), the intervention led to a long-term improvement in the cardiovascular disease risk factors, including systolic and diastolic blood pressure, low-density lipoprotein cholesterol, and triglycerides (80).”
BackgroundBalk, E. M., Earley, A., Raman, G., Avendano, E. A., Pittas, A. G., & Remington, P. L. (2015) · Annals of Internal Medicine · doi:10.7326/m15-0452 · Cited by 371 · see citing works
Improving health outcomes with better patient understanding and education
Adams, R. (2010) · Risk Management and Healthcare Policy · doi:10.2147/rmhp.s7500 · Cited by 384 · see citing works
Nathan, D. M. (2015) · JAMA · doi:10.1001/jama.2015.9536 · Cited by 387 · see citing works
Global epidemiology of prediabetes - present and future perspectives
Gottwald‐Hostalek, U. (2019) · Clinical Diabetes and Endocrinology · doi:10.1186/s40842-019-0080-0 · Cited by 395 · see citing works
Weight-loss maintenance for 10 years in the National Weight Control Registry
Thomas, J. G., Bond, D. S., Phelan, S., Hill, J. O., & Wing, R. R. (2014) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2013.08.019 · Cited by 358 · see citing works
Jolly, K., Lewis, A., Beach, J., Denley, J., Adab, P., Deeks, J. J., Daley, A., & Aveyard, P. (2011) · BMJ · doi:10.1136/bmj.d6500 · Cited by 359 · see citing works
Haw, J. S., Galaviz, K. I., Straus, A. N., Kowalski, A. J., Magee, M. J., Weber, M. B., Wei, J., Narayan, K. M. V., & Ali, M. K. (2017) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2017.6040 · Cited by 354 · see citing works
2017 national standards for diabetes self-management education and support
Beck, J., Greenwood, D. A., Blanton, L., Bollinger, S. T., Butcher, M. K., Condon, J. E., Cypress, M., Faulkner, P., Fischl, A. H., Francis, T., et al. (2017) · Diabetes Care · doi:10.2337/dci17-0025 · Cited by 348 · see citing works
Ramachandran, A., Snehalatha, C., Ram, J., Selvam, S., Simon, M., Nanditha, A., Shetty, A. S., Godsland, I. F., Chaturvedi, N., Majeed, A., et al. (2013) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(13)70067-6 · Cited by 330 · see citing works
- Authors
- Diabetes Prevention Program Research Group
- Corresponding author
- Diabetes Prevention Program Research Group
- Venue
- The Lancet
- Publisher
- Elsevier BV
- Published
- 2009-11
- Volume
- 374
- Issue
- 9702
- Pages
- 1677-1686
- ISSN
- 0099-5355 (ISSN-L)
- 0140-6736
- PMC
- PMC3135022
- OpenAlex
- W1511593276
- Cited by
- 3,020
- References
- 29
- Citations by year
- 2026: 95 · 2025: 112 · 2024: 159 · 2023: 183 · 2022: 179 · 2021: 190 · 2020: 196 · 2019: 166 · 2018: 201 · 2017: 225 · 2016: 230 · 2015: 228 · 2014: 217 · 2013: 188 · 2012: 190
- FWCI
- 108.33
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- The Lancet (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- American Diabetes Association
- National Institutes of Health
- Centers for Disease Control and Prevention
- National Institute of Diabetes and Digestive and Kidney Diseases (U01DK048406, U01DK048489)
- National Institute of Child Health and Human Development
- National Center for Research Resources
- Office of Women's Health
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Keywords
- diabetes prevention, type 2 diabetes incidence, intensive lifestyle intervention, metformin, weight loss maintenance, weight regain, long-term follow-up, high-risk adults, Diabetes Prevention Program Outcomes Study, prediabetes, remission maintenance
- MeSH terms
- Aged, Analysis of Variance, Cardiovascular Diseases, Diabetes Mellitus, Type 2, Double-Blind Method, Exercise Therapy, Female, Follow-Up Studies, Humans, Hypoglycemic Agents, Life Style, Male, Metformin, Middle Aged, Patient Education as Topic, Pregnancy, Regression Analysis, United States, Weight Loss, Incidence, Diabetes, Gestational, Treatment Outcome, Statistics, Nonparametric, Risk Reduction Behavior, Overweight
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read under definition version 3 (extract-v3) on 2026-09-28.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-09-28.
Cited sources are checked by gpt-6-sol.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review