Reply to Hagdu and to Moss et al.
Notice bibliographique
Résumé
To the Editor— In his letter, Hadgu [1] states that the resurgence in chlamydia cases in British Columbia is a result of switching laboratory tests to nucleic acid amplification tests (NAATs) and argues that NAATs suffer from poor specificity and that, therefore, the results published in our article [2] may not be valid Hadgu, among others [3–5], has previously raised methodological concerns regarding the evaluation of NAATs, suggesting that discrepant analysis may have overestimated NAAT sensitivity and specificity. Although this debate between laboratory investigators and statisticians remains unresolved [6], we do not believe that this bias significantly impacts our interpretation of the results First, during the 14 years of the chlamydia control program in British Columbia, a variety of laboratory tests were used sequentially, including cell culture, direct fluorescent antigen detection, EIA, and NAAT. Yet, as shown in figure 4 in our article, the relative risk of Chlamydia trachomatis reinfection steadily increased between 1989 and 2003, at the rate of 4.6% per year, despite the introduction of new diagnostic modalities at different times. Second, one would have to assume that NAATs have differing false-positive rates in individuals with and without a prior positive test, to account for the observation that reinfection rates have increased since the mid-1990s. However, it is not clear that a compelling biological basis exists to support this assumption. Additionally, the 2 distinct trends observed in first infection and reinfection rates cannot be solely attributed to sensitivity/specificity differences of a specific diagnostic test, since the same laboratory testing technique was used to identify all cases during any time interval. Third, Hadgu suggests that NAATs are, for a variety of reasons, poorly suited for the evaluation of reinfection status, in part because of the possibility of residual DNA from a previous infection remaining in the host. However, we noted that, whether 1-, 3- or 6-month intervals between 2 positive laboratory tests were used to define reinfection, virtually identical relative risks of reinfection were obtained. The effect of residual DNA from prior infection, if real, should have significantly increased the relative risk when a shorter, rather than longer, interval was used. Lastly, although neither US Centers for Disease Control and Prevention (CDC) nor Canadian guidelines specifically recommend (or advise against) NAATs as part of a national chlamydia control program, “the majority of CDC consultants believe that non-NAATs are substantially less sensitive than NAATs when used on urine specimens” [7]. For these reasons, we conclude that the increasing reinfection rates observed with a population-based chlamydia control program are more likely to reflect changes in population-level immunity than nonspecificity in NAATs
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 | 0,005 | 0,040 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,003 | 0,003 |
| Communication savante | 0,004 | 0,005 |
| Science ouverte | 0,004 | 0,002 |
| Intégrité de la recherche | 0,036 | 0,038 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 0,007 |
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.
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 ».