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Enregistrement W2347156794

NIH consensus development conference: diagnosing gestational diabetes mellitus.

2013· article· en· W2347156794 sur OpenAlexaboutno aff
J. Peter VanDorsten, William C. Dodson, Mark A. Espeland, William A. Grobman, Jeanne‐Marie Guise, Brian M. Mercer, Howard Minkoff, Brenda B. Poindexter, Lisa A. Prosser, George F. Sawaya, James R. Scott, Robert M. Silver, Lisa Smith, Alyce M. Thomas, Alan Tita

Notice bibliographique

RevuePubMed · 2013
Typearticle
Langueen
Domaine
Thématique
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésGestational diabetesMedicinePublic healthBiostatisticsHealth careFamily medicinePopulationAgency (philosophy)Government (linguistics)Evidence-based practiceScientific evidenceAlternative medicinePolitical scienceEnvironmental healthNursingPregnancyPathologySocial scienceLaw
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

OBJECTIVE: To provide healthcare providers, patients, and the general public with a responsible assessment of currently available data on diagnosing gestational diabetes mellitus (GDM). PARTICIPANTS: A non-U.S. Department of Health and Human Services, nonadvocate 15-member panel representing the fields of obstetrics and gynecology, maternal-fetal medicine, pediatrics, diabetic research, biostatistics, women's health issues, health services research, decision analysis, health management and policy, health economics, epidemiology, and community engagement. In addition, 16 experts from pertinent fields presented data to the panel and conference audience. EVIDENCE: Presentations by experts and a systematic review of the literature prepared by the University of Alberta Evidence-based Practice Centre, through the Agency for Healthcare Research and Quality (AHRQ). Scientific evidence was given precedence over anecdotal experience. CONFERENCE PROCESS: The panel drafted its statement based on scientific evidence presented in open forum and on published scientific literature. The draft statement was posted at http://prevention.nih.gov/ for public comment and the panel released a final statement approximately 10 weeks later. The final statement is an independent report of the panel and is not a policy statement of the NIH or the Federal Government. CONCLUSIONS: At present, GDM is commonly diagnosed in the United States using a 1-hour screening test with a 50-gram glucose load followed by a 3-hour 100-gram glucose tolerance test (a two-step approach) for those found to be abnormal on the screen. This approach identifies approximately 5% to 6% of the population as having GDM. In contrast, newly proposed diagnostic strategies rely on the administration of a 2-hour glucose tolerance test (a one-step approach) with a fasting component and a 75-gram glucose load. These strategies differ on whether a 1-hour sample is included, whether two abnormal values are required, and the diagnostic cutoffs that are used. The International Association of Diabetes and Pregnancy Study Groups (IADPSG) has proposed diagnostic thresholds based on demonstrated associations between glycemic levels and an increased risk of obstetric and perinatal morbidities. The panel considered whether a one-step approach to the diagnosis of GDM should be adopted in place of the two-step approach. The one-step approach offers certain operational advantages. The current two-step approach is used only during pregnancy and is largely restricted to the United States. There would be value in a consistent, international diagnostic standard across one's lifespan. This unification would allow better standardization of best practices in patient care and comparability of research outcomes. The one-step approach also holds potential advantages for women and their health care providers, as it would allow a diagnosis to be achieved within the context of one visit as opposed to two. However, the one-step approach, as proposed by the IADPSG, is anticipated to increase the frequency of the diagnosis of GDM by twofold to threefold, to a prevalence of approximately 15% to 20%. There are several concerns regarding the diagnosis of GDM in these additional women. It is not well understood whether the additional women identified by this approach will benefit from treatment, and if so, to what extent. Moreover, the care of these women will generate additional direct and indirect health care costs. There is also evidence that the labeling of these women may have unintended consequences, such as an increase in cesarean delivery and more intensive newborn assessments. In addition, increased patient costs, life disruptions, and psychosocial burdens have been identified. Available studies do not provide clear evidence that a one-step approach is cost-effective in comparison with the current two-step approach. After much deliberation, the panel believes that there are clear benefits to international standardization with regard to the one-step approach. Nevertheless, at present, the panel believes that there is not sufficient evidence to adopt a one-step approach. The panel is particularly concerned about the adoption of new criteria that would increase the prevalence of GDM, and the corresponding costs and interventions, without clear demonstration of improvements in the most clinically important health and patient-centered outcomes. Thus, the panel recommends that the two-step approach be continued. However, given the potential benefits of a one-step approach, resolution of the uncertainties associated with its use would warrant revision of this conclusion.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,703
Score d'incertitude au seuil0,995

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,006

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 Opus0,040
Tête enseignante GPT0,225
Écart entre enseignants0,185 · 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 tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

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

En bref

Citations281
Publié2013
Routes d'admission1
Résumé présentoui

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