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Enregistrement W2106943062 · doi:10.1093/cid/cit261

Reply to Gonzalez-Serna et al

2013· letter· fr· W2106943062 sur OpenAlexaboutno aff
Neeraj Sood, Zachary Wagner, Amber Jaycocks, Emmanuel F. Drabo, Raffaele Vardavas

Notice bibliographique

RevueClinical Infectious Diseases · 2013
Typeletter
Languefr
DomaineMedicine
ThématiqueHIV/AIDS drug development and treatment
Établissements canadiensnon disponible
Organismes subventionnairesEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentWellcome Trust
Mots-clésColumbia universityMedicineDemographyHuman immunodeficiency virus (HIV)Resistance (ecology)DemographicsDrug resistanceTest (biology)EpidemiologyCONTESTGerontologyHistoryFamily medicinePolitical scienceMedia studiesSociologyInternal medicineLaw

Résumé

récupéré en direct d'OpenAlex

We thank Gonzalez-Serna and his colleagues for initiating a discussion on our paper that models the impact of the test-and-treat policy on the human immunodeficiency virus (HIV) epidemic in Los Angeles County. Gonzalez-Serna et al contest the relevance of our findings that test-and-treat could potentially increase multidrug resistance (MDR) in Los Angeles by 89% [1]. Using observational data from British Columbia, Canada, they show that MDR and total drug resistance prevalence in British Columbia decreased over a period during which antiretroviral treatment (ART) prevalence increased by 60%. There are several reasons why this finding might not be particularly relevant for evaluating the impact of test-and-treat in Los Angeles or other regions of the world. First, British Columbia is a distinct setting with vastly different demographics and healthcare characteristics than Los Angeles. There is evidence that MDR prevalence in Canada is generally much lower than in the United States [2]. As with any mathematical model, our results are a product of the assumptions we make about parameter values and initial conditions, which are setting-specific. Because MDR prevalence in Los Angeles is higher at baseline than in British Columbia, the force of infection of transmitted resistance is higher, causing faster growth. Model results may be different with dynamics based on British Columbia characteristics. Second, these findings from British Columbia are inconsistent with findings in other parts of the world [3–6]. A recent World Health Organization report highlights the growth of drug-resistant HIV in low- and middle-income countries over the past decade, and shows a positive association between ART coverage and prevalence of transmitted drug-resistant HIV [7]. Third, a recent Canadian surveillance report shows that the results Gonzales-Serna et al report from British Columbia might not even generalize to other provinces in Canada. This report surveys 6 Canadian provinces and shows that prevalence of resistance increased by approximately 70% from 1999 to 2008 and there was no reduction in MDR [8]. Furthermore, a considerable proportion of transmitted drug resistance in both the United States and Canada remains undetected [9]. Fourth, early-stage HIV (ESH) treatment—a hallmark of test-and-treat—stayed relatively stable in British Columbia from 1995 to 2008 [10]. It is likely that ESH will coincide with lower levels of adherence, a strong predictor of increases in acquired drug resistance. Gonzalez-Serna et al also note a decrease in clinical significance of MDR, as dozens of different drug classes are now available. They suggest that pandrug resistance is the appropriate resistance measure instead of triple-therapy resistance, which we use. Even if this were true, MDR will likely raise HIV treatment costs for cash-strapped patients or healthcare systems. In addition, with expansion of early treatment, MDR detection might be more difficult as patients are asymptomatic and might not be monitored closely. Without close monitoring of resistance, patients could unknowingly develop MDR and thus delay initiation of second-line treatment. Therefore, the clinical significance of MDR may be greater with a larger ESH treatment prevalence. We agree with Gonzalez-Serna et al (and state in the main text) that test-and-treat is likely to bring epidemiologic benefits even with MDR growth, and we do not recommend abandoning this policy. However, Gonzalez-Serna et al downplay potential implications of MDR growth. We believe a prudent approach would be to evaluate the cost-effectiveness of test-and-treat compared to other policies, and if adoption of test-and-treat is warranted, it should be accompanied by initiatives to control and closely monitor MDR such as expanded MDR surveillance and interventions to improve adherence. Financial support. A. J. and R. V. received institutional funding through the National Institutes of Health (R01 NIH grant). E. D. receives institutional funding through the Eunice Kennedy Shriver National Institute of Child Health and Human Development (grant number R01HD054877). Potential conflicts of interest. All authors: No reported conflicts. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed.

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)0,009
score de la tête « metaresearch » (Gemma)0,073
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: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,043
Score d'incertitude au seuil0,045

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0090,073
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,002
Bibliométrie0,0010,001
Études des sciences et des technologies0,0030,005
Communication savante0,0050,010
Science ouverte0,0040,003
Intégrité de la recherche0,0430,064
Charge utile insuffisante (le modèle a refusé de juger)0,0090,007

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 Opus0,038
Tête enseignante GPT0,371
Écart entre enseignants0,333 · 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
GenreCommentaire

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

En bref

Citations0
Publié2013
Routes d'admission1
Résumé présentoui

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