Reply to “Issues on Results of the External Quality Assessment for Proviral DNA Testing of HIV-1 Tropism in the Maraviroc Switch Collaborative Study”
Notice bibliographique
Résumé
We appreciate the comments by Berg et al. regarding our article. First, the aim of the quality assessment program reported in this study was not to standardize the methodology across the network of laboratories involved but to assess the outcome of laboratories testing clinical material using their laboratory’s in-house standard protocol for determination of HIV-1 tropism using proviral DNA. As MARCH is an international study, the different HIV subtype distribution necessitated having nonstandardized methodologies and, hence, use of different primers required to amplify different clades. We agree that samples had a high degree of variability, with some samples having a very wide range in their false-positive rates (FPRs), and these were solid findings. Our external quality assessment (EQA) samples were derived from real patient samples and deliberately selected to be similar to those recruited to MARCH, i.e., long-term aviremic patients. The use of only clones or other homogeneous samples would therefore not be a true representation of the genetic diversity of real patient samples and would have led to a misrepresentation of the performance of laboratories testing such samples for diagnostics. One could have separately evaluated the two different issues, diversity of samples and diversity of laboratory performance. However, we presented the data in one single examination to assess the overall impact of such material as an international quality assessment program. Furthermore, it was interesting that Berg et al. compared our study to that of Svicher et al. This study used samples from viremic patients (10,000 copies/ml) and tested HIV RNA, which is more likely to deliver uniform results because the circulating virus is likely to reflect the fittest clone/quasispecies circulating in that patient at that time. The DNA in long-term aviremic patients is likely to be far more heterogeneous, reflecting multiple quasispecies of archived virus of varying fitness. We felt very strongly that a clonal panel would not be helpful for the purposes of our program. The observed variability validates the importance of performing this EQA, and these data will be critical for interpreting the results of the MARCH study itself. We acknowledge that triplicate testing is costly and not feasible in all laboratory settings. Nevertheless, we felt triplicate testing was essential, considering both the inherent variability of proviral DNA and the lack of information from rigorously conducted randomized clinical trials, to the clinical relevance of this test. Therefore, we consider it far more important to detect X4 viruses and be conservative in terms of patient safety. Overall, and for the reasons described both in the article and in this response, we do not believe that singlicate testing of a clonal standard would reliably ensure that a patient’s virus would likely respond to the protocol drug, maraviroc. In summary, we feel that Berg et al. have misinterpreted the intent of the EQA program established specifically for MARCH. Proviral DNA, obtained from real patient samples, was associated with a high degree of variability, and the most suitable approach for quality assessment for determination of viral tropism was developed for this study.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,038 | 0,180 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,002 |
| Méta-épidémiologie (sens large) | 0,002 | 0,003 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,003 | 0,005 |
| Communication savante | 0,004 | 0,005 |
| Science ouverte | 0,005 | 0,003 |
| Intégrité de la recherche | 0,043 | 0,041 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,005 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».