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Enregistrement W2098090355 · doi:10.1111/1753-0407.12329

Approaches to treatment 1: How is type 2 diabetes actually treated?

2015· editorial· en· W2098090355 sur OpenAlexaboutno aff
Zachary T. Bloomgarden

Notice bibliographique

RevueJournal of Diabetes · 2015
Typeeditorial
Langueen
DomaineMedicine
ThématiqueDiabetes Treatment and Management
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMetforminMedicineType 2 diabetesThiazolidinedioneDiabetes mellitusInternal medicineInsulinEndocrinologyGlucagon-like peptide-1Medical prescriptionPharmacology

Résumé

récupéré en direct d'OpenAlex

Given the multiple organ systems playing roles in glucose production and utilization, with the gut, islets, liver, kidney, fat, muscle, and brain of particular importance, it is not surprising that the treatment of type 2 diabetes (T2D) is complex, but it is fascinating to review actual practice patterns. In the US, from 1999 to 2010, the use of glucose-lowering medication increased from 74% to 82% of individuals with diabetes, with metformin increasing from 35% to 55%, sulfonylureas decreasing from just over to just under 40%, thiazolidinediones increasing from 12% to 28%, the proportion receiving insulin increasing from 17% to 21%, and, in 2010, 8% receiving a dipeptidyl peptidase (DPP) 4 inhibitor (Fig. 1).1 Looked a differently, among some 20 million people diagnosed as having diabetes in the US, the number of prescriptions for non-insulin diabetes medicines issued annually increased from approximately 90 to 120 million from 2003 to 2012, with metformin increasing from 30 to 50 million, sulfonylureas around 30 million, thiazolidinediones decreasing from approximately 15 to 5 million, and both DPP-4 inhibitors and glucagon-like peptide-1 (GLP-1) analogs reaching approximately 8 million.2 In that study, only 45% of metformin was used as monotherapy; 22% was administered with sulfonylureas, 22% with a DPP-4 inhibitor, 10% with long-acting insulin analogs, 8% with a thiazolidinedione, and 4% with a GLP-1 analog; approximately two-thirds of use of sulfonylureas, DPP-4 inhibitors, and thiazolidinediones, and half of use of GLP-1 analogs, was with metformin.2 In Germany, in 2010, just 63.1% of people diagnosed as having diabetes received antihyperglycemic medication, of whom 40% received metformin, 20% sulfonylureas, 6% long-acting human insulin, 7% long acting analog insulin, 8% short-acting human insulin, 4% short-acting analog insulin, 6% human mixed insulin, 1% analog mixed insulin, 3% a DPP-4 inhibitor, and 1% a GLP-1 analog.3 In Canada, during the period from 1994 t o2006, less than half of individuals age 66 years and over diagnosed as having diabetes were treated during the first year after diagnosis, with the likelihood of treatment actually decreasing somewhat over the decade.4 The use of metformin as initial treatment increased from 20% to 80%, whereas the use of sulfonylureas decreased from 70% to 10%; thiazolidinediones, insulin, acarbose, and combinations were infrequently used.4 In the large US Kaiser Permanente database, from 2005 to 2010 there was an increase in treatment initiation during the first year after diabetes diagnosis from 36% to 44% (Fig. 2a), with metformin increasing from 36% to 44%, sulfonylureas decreasing from 31% to 10%, and the combination increasing from 5% to 10%; approximately 6% received insulin (Fig. 2b).5 What are we to make of these statistics? First, physicians appear to have concerns about initiating treatment at the time of diabetes diagnosis, in particular with newer diagnostic guidelines, either positively, because of understanding of the importance of emphasizing lifestyle modification, or negatively, because of skepticism about the value of such treatment at relatively modest levels of hyperglycemia, despite evidence from epidemiologic studies and randomized controlled trials that such treatment is appropriate.6 Second, there have been major changes in therapeutic approach over the past decade, with a marked reduction in the use of sulfonylureas, particularly as initial therapy, with an equally marked increase in the use of metformin, with increasing and then decreasing use of thiazolidinediones, and with the introduction of DPP-4 inhibitors and, to a lesser extent, GLP-1 analogs. The use of insulin is increasing somewhat, and comprises a major treatment approach, and combination treatment appears increasingly to be the rule rather than the exception in the management of hyperglycemia. With these perspectives, it will be interesting to consider current T2D treatment guidelines. This topic will be addressed in the next issue's Editorial.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,012
score de la tête « metaresearch » (Gemma)0,039
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: aucune
Score de désaccord entre enseignants0,018
Score d'incertitude au seuil0,065

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0120,039
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0010,002
Études des sciences et des technologies0,0030,007
Communication savante0,0090,013
Science ouverte0,0020,004
Intégrité de la recherche0,0070,017
Charge utile insuffisante (le modèle a refusé de juger)0,0180,005

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,061
Tête enseignante GPT0,268
Écart entre enseignants0,207 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2015
Routes d'admission1
Résumé présentoui

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