Trial reportDiabetes care2009

Regression from pre-diabetes to normal glucose regulation in the diabetes prevention program.

Leigh Perreault, Steven E Kahn, Costas A Christophi, William C Knowler, Richard F Hamman, Diabetes Prevention Program Research Group

Open access · hybridAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Diabetes care, 2009. The graph read 1 number from its abstract, feeding 1 cell of the map, but none could be read as for or against, so it casts no vote. Cited by 98 papers, 5 of them syntheses that pooled it.

1number the graph read from it
0cells of the map it votes in
98citing papers in PubMed, 5 pooled it
5.3field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

Read, but not usablea number the graph found but could not read as for or against

Glycemic controlan association or prognostic statement, not a treatment comparison · head-to-head · t2d, obesityfeeds one cell of the map
HR 1.52P < 0.01
RESULTS: Lower baseline fasting (hazard ratio 1.52, P < 0.01) and 2-h (1.24, P < 0.01) glucose predicted regression to NGR, as did younger age (1.07, P < 0.01) and greater insulin secretion (1.09, P = 0.04).

clause the extractor read what became the number

2 · Its place on the map

Where it lands on the map

Rows are treatments, columns are outcomes. The coloured squares are the cells this paper feeds, coloured by the vote it casts there. Click one to jump to what this paper adds to it.

supports the treatmentfavours the comparatorno clear differenceread, but no usable result
3 · What it changes

What it adds to each cell

For every cell the paper feeds: the belief in the claim with and without this paper, and this paper's estimate drawn against every other readable study in the cell. The ringed dot is this paper.

Insulin×glycemic control

No readable resultOpen on the map →What to test next →

40 readable studies in this cell: 15 favour the treatment, 14 find no difference, 12 favour the comparator.

Belief with this paper
0.50contested · 9 families support, 6 contradict · against placebo
Without itNot a counted family in this claim, so removing it changes nothing.
← favours the comparatorfavours the treatment →
0 · no effect
NCT036893742,274 enrolled · 2018
Δ -0.29-0.38 to -0.20
NCT037306622,002 enrolled · 2018
Δ -0.99-1.13 to -0.86
NCT013360231,663 enrolled · 2011
Treatment contrast -0.64-0.75 to -0.53
NCT038829701,444 enrolled · 2019
Δ -0.86-1.00 to -0.72
NCT045379231,428 enrolled · 2020
Δ -1.10-1.24 to -0.97
NCT032680051,264 enrolled · 2017
Δ -0.04-0.11 to 0.03
NCT020581471,170 enrolled · 2014
Δ -0.78-0.90 to -0.67
NCT021289321,089 enrolled · 2014
Δ -0.81-0.96 to -0.67
NCT009606611,036 enrolled · 2009
Δ -0.04-0.18 to 0.11
NCT00856986987 enrolled · 2009
Δ -0.52-0.68 to -0.36
NCT01117350978 enrolled · 2010
Δ 2.54-3.88 to 8.93
NCT03214380933 enrolled · 2017
Δ 0.06-0.05 to 0.16

This paper's own estimate is on a different scale from the rest of the cell, so it is not drawn here.

4 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

5 · Its place in the literature

Who cites it

98 citing papers in PubMed, 5 syntheses or guidelines pooled it, 209 citations in OpenAlex.

  1. Pooled it
  2. Interventions for Reversing Prediabetes: A Systematic Review and Meta-Analysis.American journal of preventive medicine · 2022 · on this map
    Pooled it
  3. Pooled it
  4. Pooled it
  5. Diagnosis and treatment of polycystic ovary syndrome: an Endocrine Society clinical practice guideline.The Journal of clinical endocrinology and metabolism · 2013 · on this map
    Guideline
  6. Trial
  7. Trial
  8. Trial
  9. Trial
  10. Trial
  11. Trial
  12. Exploring residual risk for diabetes and microvascular disease in the Diabetes Prevention Program Outcomes Study (DPPOS).Diabetic medicine : a journal of the British Diabetic Association · 2017 · on this map
    Trial
  13. Trial
  14. Trial
  15. Trial
  16. Trial
  17. Trial
  18. Review
  19. Observational
  20. Article

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

6 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

7 · Who and what money

Authors and funding

6 authors at 5 institutions in 1 country.

Leigh PerreaultDepartment of Medicine, Division of Endocrinology, Metabolism and Diabetes, University of Colorado at Denver School of Medicine, Aurora, Colorado, USA.
Steven E Kahn
Costas A Christophi
William C Knowler
Richard F Hamman
Diabetes Prevention Program Research Group
Colorado School of Public Health · USGeorge Washington University · USNational Institute of Diabetes and Digestive and Kidney Diseases · USUniversity of Colorado Denver · USUniversity of Washington · US

Funding

Epidemiology of Type 2 Diabetes Mellitus in the Gila River Indian CommunityZIADK069000 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI KNOWLER, WILLIAM C · 2009 to 2021
$3.4M
Native Americans: Diabetes Mellitus/Chronic DiseasesZ01DK069000 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI KNOWLER, WILLIAM C · 1986 to 2008
$680k
8 · The paper itself

Abstract

The marked sentences are the ones the graph read a number from.

objectiveParticipants in the Diabetes Prevention Program (DPP) randomized to intensive lifestyle modification (ILS) or metformin had a significantly reduced incidence of diabetes compared with those randomized to placebo, yet most were still at risk because they had pre-diabetes. We explored the effect of baseline characteristics, weight change, ILS, and metformin on regression from pre-diabetes to the lowest-risk state of normal glucose regulation (NGR) defined by American Diabetes Association criteria. RESEARCH DESIGN AND

methodsThe DPP was a prospective randomized trial. Cox proportional hazards modeling was used to identify predictors of regression from pre-diabetes to NGR over 3 years of follow-up.

resultsLower baseline fasting (hazard ratio 1.52, P < 0.01) and 2-h (1.24, P < 0.01) glucose predicted regression to NGR, as did younger age (1.07, P < 0.01) and greater insulin secretion (1.09, P = 0.04). ILS (2.05, P < 0.01) and weight loss (1.34, P < 0.01) had significant and independent effects on regression. A nonsignificant trend for regression was also observed for metformin (1.25, P = 0.06), male sex (1.17, P = 0.08), and insulin sensitivity (1.07, P = 0.09). In those entering the study with both impaired fasting glucose (IFG) and impaired glucose tolerance (IGT), male sex and insulin sensitivity predicted regression to isolated IFG, whereas ILS, metformin, female sex, and greater insulin secretion predicted regression to isolated IGT.

conclusionsInsulin secretion, and other biologic processes retained with younger age, are key in restoring NGR in people with pre-diabetes. However, NGR may also be attained through weight loss and additional aspects of ILS.

Indexed as

AdultBlood GlucoseDiabetes Mellitus, Type 2FemaleHumansHypoglycemic AgentsInsulinInsulin SecretionLife StyleMaleMetforminMiddle AgedMultivariate AnalysisPrediabetic StateSex FactorsWeight LossBlood GlucoseHypoglycemic AgentsInsulinMetformin

Identifiers

PMID19587364
PMCPMC2732165
OpenAlexW2109748090

What OpenQuestion holds

Texttitle and abstract
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.