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3 years of liraglutide versus placebo for type 2 diabetes risk reduction and weight management in individuals with prediabetes: a randomised, double-blind trial
Carel W. le Roux, Arne Astrup, Ken Fujioka, Frank L. Greenway, David Lau, Luc Van Gaal, Rafael Violante Ortíz, John Wilding, Trine Vang Skjøth, Linda Shapiro Manning, F. Xavier Pi‐Sunyer, A. Hamann, Alain Barakat, Matthias Blüher, Thomas Linn, Andrea Mölle, Alexander Segner, Petra Stübler, Regina Tosch-Sisting, Furio Pacini, Ferruccio Santini, Giulio Marchesini, Carlo Maria Rotella, Cecilia Invitti, Roberto Vettor, Silvio Buscemi, Pedro Mezquita Raya, Felipe Casanueva Freijoo, Ramón Gomis de Barbará, Raffaele Carraro, Enrique Romero Bobillo, Carmen de la Cuesta, Csaba Farsang, Albert Császár, Barbara Zahorska‐Markiewicz, Danuta Pupek-Musialik, Edward Franek, Lucyna Ostrowska, Magdalena Olszanecka‐Glinianowicz, Nebojša Lalić, Dragan Micić, Bernhard Ludvik, Bernhard Paulweber, Rudolf Prager, André Scheen, Kjeld Hermansen, Sten Madsbad, Aila Rissanen, Sakari Nieminen, Markku J. Savolainen, Michel Krempf, Monique Romon, M. Laville, Michel Marre, R Mira, Francis Finucane, Aletha Veenendaal, Frank van Berkum, Solrun Johannsson-Vidarsdóttir, V. Van de Walle, Eelco W. Meesters, Jøran Hjelmesæth, Tor Ole Klemsdal, Bård Kulseng, Birgit Bach-Kliegel, Kurt Laederach, Lukas Villiger, Alain Golay, Stefan Bilz, Thozhukat Sathyapalan, Stephen C. Bain, Sudhesh Kumar, Carel Wynard le Roux, Michael E. J. Lean, Barbara McGowan, Gary Wittert, Ian Caterson, Joeseph Proietto, John Prins, Bruno Geloneze Neto, Jorge Luiz Gross, Antônio Roberto Chacra, Alfredo Halpern, Henrique Suplicy, Francis Chun Chung Chow, Hemant Thacker, Manoj Chadha, Hemaraj Chandalia, AG Unnikrishnan, Sanjay Kalra, Neeta Deshpande, Minakshi Shunmugavelu, Vaishali Deshmukh, Maximo Maislos, G. Lieberman, Ilan Shimon, Naftali Stern, Dan Nabriski, Eddy Karnieli, Naim Shehadeh, Guillermo González-Gálvez, María del Rosario Arechavaleta-Granell, R. Ortiz, Guadalupe Morales Franco, Irina Gurieva, Л. А. Суплотова, Е. А. Трошина, Ludmila Ruyatkina, Emma Anatolievna Voychik, S. Yu. Martsevich, M.A. Startseva Startseva, Mary Seeber, Aysha Badat, Graham Ellis, Yüksel Altuntaş, Serdar Güler, Ender Ülgen, Tuncay Delibaşı, Tony Chetty, Randy Hart, Jeannette Janzen, Isabelle Labonté, Joanne Liutkus, Dennis D. O’Keefe, Raj Padwal, Thomas Ransom, Richard Tytus, S. John Weisnagel, Jay Adler, Keith Aqua, Stephen Aronoff, Gary Bedel, Thomas Blevins, Joe Blumenau, Andrew Brockmyre, Robert S. Call, Rafael Canadas, Louis Chaykin, Kenneth L. Cohen, Jeffrey Keith Conrow, Matthew Davis, H. Jackson Downey, S.R. Drosman, Steven Duckor, Hayley Farmer, James J. Farrell, Stephen Fehnel, Matthew Patrick Finneran, Ray Forbes, Alan D. Forker, Mark Fredrick, S Geller, Santosh Gill, Linda A. Glaser, Susan Neims Greco, Wayne L. Harper, Lee Herman, J. Hoekstra, Richard Ingebretsen, Rodney Ison, Rajeev Jain, Roy A. Kaplan, S. Kaster, Gregory Haase, Boris Kerzner, Judith L. Kirstein, William Koltun, Diane Krieger, Cora E. Lewis, Robert D. Madder, Richard N Marple, Edward J McDermott, Curtis J. Mello, Alan B. Miller, Julie Mullen, John Nardandrea, Patrick M. O’Neil, F. Xavier Pi-Sunyer, Ronald M Pucillo, Chanhaeng Rhee, Scott Redrick, Aaron Pardini, Jeffrey Rothman, Domenica Rubino, Gladstone Sellers, Timothy R. Smith, William Byars, Joseph Soufer, Allen Sussman, Kyle Patrick, Erich Lloyd Schramm, Martin van Cleeff, Saul Reuel Berg, Holly R. Wyatt, James A. Simon
Bibliographic record
VenueThe Lancet · 2017
Typearticle
Languageen
FieldMedicine
TopicDiabetes Treatment and Management
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPrediabetesLiraglutideMedicinePlaceboType 2 diabetesDiabetes mellitusInternal medicineWeight lossWeight managementEndocrinologyObesityAlternative medicine
Abstract
No abstract in any covered source. Its absence is recorded, not treated as a negative.
No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.035
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.008 | 0.005 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
Opus teacher head0.057
GPT teacher head0.316
Teacher spread0.260 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".
Quick stats
Citations844
Published2017
Admission routes1
Has abstractno