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Enregistrement W4239617350 · doi:10.1097/00019048-200205000-00001

IDCP SNAPSHOTS

2002· article· en· W4239617350 sur OpenAlexaboutno aff
Michael Barza

Notice bibliographique

RevueInfectious Diseases in Clinical Practice · 2002
Typearticle
Langueen
DomaineImmunology and Microbiology
ThématiqueHIV Research and Treatment
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineViral loadAsymptomaticObservational studyAntiretroviral therapyInfectivityInternal medicineHuman immunodeficiency virus (HIV)ImmunologyVirus

Résumé

récupéré en direct d'OpenAlex

May 2002 When to Start Antiretroviral Therapy It is not clear when antiretroviral therapy (ART) should be started in asymptomatic patients. The decision to start ART is usually guided by a low CD4 count or a high viral load. Opportunistic infections do not usually occur until the CD4 count has fallen below 200 cells per ul or the viral load has reached 10,000 copies per ml. The medications are costly and produce undesirable side effects. However, early intervention might better preserve the patient’s immune status and reduce infectivity, among other benefits. Two recent studies shed some light on this issue. European Observational Study A multi-center observational European study (Phillips AN et al, JAMA 2001;286:2560–7) enrolled over 3,000 patients who had not received any ART and evaluated the response to treatment, stratified by initial CD4 count (< 200, 200–349, > 350 cells per ul), with at least three drugs, beginning in 1996. The median follow-up period was over 2 years. Patients were as likely to reach viral loads of less than 500 copies per ml after 32 weeks of treatment at all three CD4 ranges and irrespective of the baseline viral load unless that value was >100,000 copies per ml. The authors noted a tendency for higher rates of new AIDS diseases or death during follow-up for the lowest CD4 range (< 200) but not between the two higher ranges. As the authors point out, there may be other advantages, not measured in this study, of starting earlier: e.g., the likelihood of complete immune recovery might be greater if treatment is started earlier. Canadian Study This study, like the European one, involved ART-naïve patients who were started on triple-drug ART from 1996–1999. The endpoint was death, and the 1,219 patients were stratified by CD4 cell count and viral load. Multivariate analysis showed that, of various potential predictors of survival, only CD4 cell count was statistically significant. The adjusted risk ratios for death were 6.67 for those with baseline CD4 counts of > 50 cells/ul and 3.41 for those with counts of 50–199. Viral load was not an independent predictor of survival. The results were similar when progression to AIDS, rather than death, was used as the endpoint. Three previous cohort studies also have shown that disease progression to AIDS or death tended to be clustered among patients initiating ART with CD4 cell counts < 200 and that baseline viral loads were not predictive of mortality during treatment. The authors emphasize that their study does not allow one to infer an optimal time to begin treatment. In particular, it is possible that longer-term follow-up might show differences in outcome among patients with baseline CD4 counts over 200. The authors suggest that, in the decision to initiate ART, the focus should be on the CD4 cell count and that treatment generally should be started before the count reaches 200 cell/ul. An editorial (Pomerantz RJ, ibid, p 2597–9) agrees that, based on the available data, it may be reasonable to focus on the CD4 count in determining the time to initiate ART and to try to start before the count is below 200 cells per ul. It also points out that for patients seen within 6 months after seroconversion, immediate initiation of potent ART may preserve HIV-specific T-helper cell function. Randomized Trial to Begin The trials noted above were observational and relatively short-term. A long-term, randomized study, called Strategies for Management of Antiretroviral Therapies (SMART) will shortly begin (IDSA News, February, 2002, pg 11). It will involve 6,000 patients in 21 United States locations and several Australian sites who will be followed for up to 9 years. The primary goal will be to compare the outcomes of patients treated early in HIV infection as opposed to later, using the CD4 count as a critical marker. The trial will involve community-based researchers and will be funded by the National Institute of Allergy and Infectious Diseases. Contact information is available at www.clinicaltrials.gov. The search term SMART may be used.

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)0,001
score de la tête « metaresearch » (Gemma)0,011
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,627
Score d'incertitude au seuil0,997

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,011
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 recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0050,019

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 Opus0,054
Tête enseignante GPT0,407
Écart entre enseignants0,353 · 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

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

Citations0
Publié2002
Routes d'admission1
Résumé présentoui

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