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Record W2783777683 · doi:10.7326/acpjc-2018-168-2-008

Review: Newer second-line drugs for diabetes are not more cost-effective than sulfonylureas

2018· article· en· W2783777683 on OpenAlexaboutno aff
Natalia Genere, Víctor M. Montori

Bibliographic record

VenueAnnals of Internal Medicine · 2018
Typearticle
Languageen
FieldMedicine
TopicDiabetes Treatment and Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDiabetes mellitusGlycemicType 2 diabetesInternal medicinePsychosocialFamily medicineGerontologyEndocrinologyPsychiatry

Abstract

fetched live from OpenAlex

ACP Journal Club16 January 2018Review: Newer second-line drugs for diabetes are not more cost-effective than sulfonylureasNatalia Genere, MD, Victor M. Montori, MD, MScNatalia Genere, MDMayo Clinic, Rochester, Minnesota, USA (N.G., V.M.M.), Victor M. Montori, MD, MScMayo Clinic, Rochester, Minnesota, USA (N.G., V.M.M.)Author, Article, and Disclosure Informationhttps://doi.org/10.7326/ACPJC-2018-168-2-008 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinkedInRedditEmail Source CitationCADTH Therapeutic Reviews. New drugs for type 2 diabetes: second-line therapy–science report. Ottawa, ON: Canadian Agency for Drugs and Technologies in Health; Sep 2017.Clinical Impact RatingsGIM/FP/GP: Cardiology: Endocrinology: References1 Rodríguez-Gutiérrez R, Montori VM. Glycemic control for patients with type 2 diabetes mellitus: our evolving faith in the face of evidence. Circ Cardiovasc Qual Outcomes. 2016;9:504-12. [PMID: 27553599] Google Scholar2 Huang ES, Laiteerapong N, Liu JY, et al. Rates of complications and mortality in older patients with diabetes mellitus: the diabetes and aging study. JAMA Intern Med. 2014;174:251-8. [PMID: 24322595] Google Scholar Author, Article, and Disclosure InformationAffiliations: Mayo Clinic, Rochester, Minnesota, USA (N.G., V.M.M.)This article was published at Annals.org on 2 January 2018. PreviousarticleNextarticle Advertisement FiguresReferencesRelatedDetails Metrics Cited byHypoglycemia in type 2 diabetes mellitus patients — cerebral, cognitive, psychosocial and clinical aspectsThe optimization of ultrasonic-microwave assisted synergistic extraction of Lotus plumule extract rich in flavonoids and its hypoglycemic activityCurrent data on the effectiveness of gliclazide and molecular mechanisms of action of the drugrs622342 in SLC22A1, CYP2C9*2 and CYP2C9*3 and Glycemic Response in Individuals with Type 2 Diabetes Mellitus Receiving Metformin/Sulfonylurea Combination Therapy: 6-Month Follow-Up StudyManagement of Type 2 Diabetes in Developing Countries: Balancing Optimal Glycaemic Control and Outcomes with Affordability and Accessibility to TreatmentPhysicochemical properties of polysaccharides separated from Camellia oleifera Abel seed cake and its hypoglycemic activity on streptozotocin-induced diabetic mice 16 January 2018Volume 168, Issue 2Page: JC8KeywordsDrugsHypoglycemiaHypoglycemicsInsulinInsulin-like growth factorsMortalityNetwork analysisSafetySafety studiesType 2 diabetes ePublished: 16 January 2018 Issue Published: 16 January 2018 Copyright & PermissionsCopyright © 2018 by American College of Physicians. All Rights Reserved.PDF downloadLoading ...

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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)0.003
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.023
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.020
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0040.005
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0020.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0230.007

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 head0.046
GPT teacher head0.368
Teacher spread0.321 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine 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 designNot applicable
Domainnot available
GenreReview

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

Citations8
Published2018
Admission routes1
Has abstractyes

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