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Enregistrement W1972374930 · doi:10.1097/00126334-200406010-00016

CD4+ T-Cell Gain With Nonnucleoside or Protease Inhibitors: Convenience May Not Always Be The Most Convenient:Reply

2004· article· en· W1972374930 sur OpenAlexaff
Evan Wood, Robert S. Hogg, Benita Yip, P. Richard Harrigan, Joan Montaner

Notice bibliographique

RevueJAIDS Journal of Acquired Immune Deficiency Syndromes · 2004
Typearticle
Langueen
DomaineMedicine
ThématiqueHIV/AIDS drug development and treatment
Établissements canadiensAIDS VancouverSt. Paul's Hospital
Organismes subventionnairesnon disponible
Mots-clésObservational studyProtease inhibitor (pharmacology)CohortMedicinePopulationHuman immunodeficiency virus (HIV)ProteaseAntiretroviral therapyCd4 t cellInternal medicineReverse-transcriptase inhibitorViral loadImmunologyT cellChemistry

Résumé

récupéré en direct d'OpenAlex

Reply: The authors thank Barreiro and colleagues for their interest in our study. 1,1a In this report we demonstrated that patients to whom nonnucleoside reverse transcriptase inhibitor (NNRTI)-based highly active antiretroviral therapy (HAART) was initially prescribed had shorter time to a CD4 cell count increase of 50 cells in comparison to patients initially prescribed protease inhibitor (PI)-based HAART, among participants enrolled in an observational cohort study. Since we had recently published a demonstration of the major selection factors operating in comparisons of various HAART regimens in observational databases, 2 we cautiously concluded that our results “indicate the rather comparable effects of NNRTIs and PIs on CD4 cell count responses.” 1 Nevertheless, Barreiro and colleagues suggest some additional analyses and argue that PI-based HAART should be provided universally for patients with low CD4 cell counts. We will address the points they raise below. We should note that Barreiro and colleagues draw incorrect assumptions from a 2002 report in which we concluded that “virtually all CD4 increases can be attributed to transient or partial pVL suppression.” 3 Contrary to their suggestion, the analyses presented in this paper did include patients to whom NNRTIs were prescribed. The findings of this report indicated that CD4 benefits are most closely tied to the degree and duration of virologic suppression. These conclusions are consistent with studies suggesting that virologic suppression is the main determinant of CD4 responses. 4–6 In terms of the suggested subanalyses, when the patient population that was assessed in our earlier report is restricted to the 1343 patients (88.2%) who did not switch their HAART regimen in the first 12 months, we find evidence that that the time to the first CD4 cell count response ≥50 cells/mm3 was faster for the 402 patients (29.9%) to whom NNRTIs were initially prescribed (log rank P = 0.005), when compared with those who started on PIs, although there was no statistical difference when we looked at the time to the first of 2 CD4 measures ≥ 50 cells/mm3 from baseline (log rank P = 0.161). Among these patients, the CD4 gain from baseline at 12 months was 120 (interquartile range [IQR]: 20–220) for patients on PIs and was 115 (IQR: 20–210) for patients on NNRTIs (P = 0.465). Note that this was restricted to 1005 (74.8%) of the above patients who had a CD4 measure available between 6–12 months from baseline. We also repeated our earlier analyses among the 874 patients (57.4%) who did not switch therapy in the first 12 months and who had a plasma HIV RNA measure <500 copies/mL in the first 6 months of HAART. Here, the time to the first CD4 cell count response ≥50 cells/mm3 was faster for the 295 patients (33.8%) to whom NNRTIs were initially prescribed (log rank P = 0.006), though there was no statistical difference when we looked at the time to the first of 2 CD4 measures ≥50 cells/mm3 from baseline (log rank P = 0.311). Among these patients, the CD4 gain from baseline was 140 (IQR: 60–250) for patients on PIs and was 150 (IQR: 60–240) for patients on NNRTIs (P = 0.635). Note that this was restricted to 705 of the above patients (80.7%) who had a CD4 measure available between 6–12 months from baseline. While the stratifications suggested by Barreiro and colleagues may help to address some sources of potential confounding, they introduce the concern that we are forced to examine a highly selected population that may in itself introduce confounding and limit generalizability. As such, we must reiterate that the data presented here, and in our earlier report, 1 are from an observational study and should thus be interpreted with substantial caution. 1,2 Nevertheless, all analyses conducted support our original conclusion that CD4 responses appear to be similar. Barreiro and colleagues also argue that NNRTI-based HAART has a lower genetic barrier to resistance than PI-based HAART and that the extent of virologic rebound among patients in whom PI-based HAART fails may be lower than patients in whom NNRTI-based HAART fails. While this may be true, if we assume that the lower genetic barrier hypothesis is relevant to our analyses, this would have served to lead to superior CD4 count responses among patients to whom PIs were prescribed, yet this was not observed. We believe that there is presently insufficient evidence to support Barreiro and colleagues' recommendation that PI-based HAART should be universally prescribed to patients with low CD4 cell counts. 7–9 On the contrary, patients who present for therapy with severe immunodeficiency would be best served by a randomized controlled trial comparing the impact of the various initial HAART regimens on plasma HIV RNA and CD4 cell count responses, and more importantly survival, among this patient population.

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)0,045
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 enseignants0,031
Score d'incertitude au seuil0,045

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0090,045
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0020,002
Bibliométrie0,0010,001
Études des sciences et des technologies0,0020,004
Communication savante0,0030,008
Science ouverte0,0030,002
Intégrité de la recherche0,0310,056
Charge utile insuffisante (le modèle a refusé de juger)0,0050,005

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 Opus0,019
Tête enseignante GPT0,251
Écart entre enseignants0,233 · 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
Publié2004
Routes d'admission1
Résumé présentoui

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