Response
Notice bibliographique
Résumé
In our recent article in the Journal, we assumed that human papillomavirus (HPV) vaccines do not enhance or prevent disease among individuals infected by a vaccine type. Suba et al. question this assumption and suggest that there is evidence that HPV vaccination may enhance disease among subgroups of women infected with an HPV vaccine type. This is based on an exploratory subgroup analysis of study 013 for Gardasil ( 1 ) and an ecological analysis of administrative data from Australia ( 2 ). Exploratory subgroup analysis results from clinical trials must be interpreted with great caution because they are often underpowered and can be biased because randomization is not always effective at balancing baseline risk in smaller subgroups. These limitations are present in the subgroup analysis mentioned by Suba et al. First, in the 013 study, the observed negative vaccine efficacy against HPV6, -11, -16, and -18 cervical intraepithelial neoplasia 2/3 or worse (CIN2/3+) was not statistically significant (−44.6%,95% confidence interval = <0.0% to 8.5%) among subjects who were polymerase chain reaction positive and seropositive for the relevant HPV vaccine type at day 1 ( 1 ). If one assumes that the vaccine has no enhancing/therapeutic effect, one would expect the efficacy estimates from clinical trials to fluctuate around 0%. Thus, the negative empirically based estimate of efficacy is not surprising. However, the efficacy estimates should tend toward 0% with increasing sample size. To this effect, another clinical trial for Gardasil (study 015) showed a non-statistically significant positive efficacy against CIN2/3+ among individuals with prior evidence of infection ( 3 ). Second, the Gardasil group in study 013 had more baseline risk factors for the development of CIN2/3+ than the placebo group ( 1 ). For example, the baseline prevalence of high-grade cervical lesions was 1.86 times higher in the Gardasil group than the placebo group. Thus, it is not surprising that the Gardasil group had higher rates of CIN2/3+ during the trial ( 1 ). Ecological surveillance studies are prone to bias and, consequently, cannot be used to conclude that there is a causal link between an exposition and an outcome. Suba et al. use data from an ecological study from Australia showing statistically significant higher incidence of high-grade cervical abnormalities among older women in the years after vaccination (increase of 0.18% compared with prevaccination) to support the hypothesis that HPV vaccines can enhance disease ( 2 ). However, high-grade cervical abnormality incidence started to increase in the period of 2005 and 2006 (before vaccination in 2007), which coincides with statistically significant decreases in low-grade cervical abnormalities (decrease of 0.60% compared with prevaccination) among older women ( 2 ), increased participation in cervical cancer screening of higher-risk women due to targeted campaigns, and changes to screening guidelines in 2006 (personal communication, J. Brotherton). In conclusion, our modeling assumptions are based on reliable evidence. Furthermore, even if our model assumed that HPV vaccines enhance disease among individuals infected by a vaccine type, it would have no impact on the conclusions of our paper because the overwhelming majority of females are vaccinated before becoming sexually active or being exposed to HPV.
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 | 0,004 | 0,031 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,002 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,010 | 0,004 |
| Communication savante | 0,007 | 0,004 |
| Science ouverte | 0,004 | 0,004 |
| Intégrité de la recherche | 0,095 | 0,057 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,025 | 0,015 |
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 ».