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Enregistrement W2557723753 · doi:10.1016/s2468-2667(16)30024-x

Balancing the cost–benefit equation for cervical cancer prevention: a moving target

2016· letter· en· W2557723753 sur OpenAlexaboutno aff
David G. Regan, Basil Donovan

Notice bibliographique

RevueThe Lancet Public Health · 2016
Typeletter
Langueen
DomaineMedicine
ThématiqueCervical Cancer and HPV Research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCervical cancerMedicineMEDLINECancerInternal medicinePolitical science

Résumé

récupéré en direct d'OpenAlex

The arrival of new vaccines and new technologies for cervical cancer screening presents decision makers with a moving target for estimating the effect and associated costs of these measures for the prevention of cervical cancer. Publicly funded human papillomavirus (HPV) vaccination programmes have been rolled out in many countries.1Bruni L Diaz M Barrionuevo-Rosas L et al.Global estimates of human papillomavirus vaccination coverage by region and income level: a pooled analysis.Lancet Glob Health. 2016; 4: e453-e463Summary Full Text Full Text PDF PubMed Scopus (487) Google Scholar The ability to provide primary prevention of cervical cancer has afforded these countries the opportunity to reassess cervical cancer screening guidelines in terms of technology, starting age, and frequency. Some countries are now considering a transition from conventional cervical cytology to HPV testing as the primary triage for prevention of cervical cancer.2Castle Philip E The new era of primary HPV screening for prevention of invasive cervical cancer.Cancer Forum. 2014; 38: 209-214Google Scholar These proposed changes are being considered concomitantly with the imminent arrival of the nonavalent HPV vaccine (HPV9), which provides protection against roughly a further 20% of cervical cancers over the current quadrivalent (HPV4) and bivalent (HPV2) vaccines. Australia has been at the forefront of this revolution in the management and prevention of cervical abnormalities and cancer and, from 2017, cervical screening will transition from 2-yearly cytology-based screening to 5-yearly HPV screening.3Smith MA Gertig D Hall M et al.Transitioning from cytology-based screening to HPV-based screening at longer intervals: implications for resource use.BMC Health Serv Res. 2016; 16: 147Crossref PubMed Scopus (27) Google Scholar In The Lancet Public Health, Kate Simms and colleagues4Simms KT Laprise J-F Smith MA et al.Cost-effectiveness of the next generation nonavalent human papillomavirus vaccine in the context of primary human papillomavirus screening in Australia: a comparative modelling analysis.Lancet Public Health. 2016; 1: e66-e75Summary Full Text Full Text PDF PubMed Scopus (31) Google Scholar present the results of a cost-effectiveness analysis of HPV9 in the context of primary HPV screening in Australia. Cost-effectiveness analyses have been conducted for HPV9 in various settings,5Brisson M Laprise JF Chesson HW et al.Health and economic impact of switching from a 4-valent to a 9-valent HPV vaccination program in the United States.J Natl Cancer Inst. 2016; 108: djv282Crossref PubMed Scopus (67) Google Scholar, 6Drolet M Laprise JF Boily MC Franco EL Brisson M Potential cost-effectiveness of the nonavalent human papillomavirus (HPV) vaccine.Int J Cancer. 2014; 134: 2264-2268Crossref PubMed Scopus (59) Google Scholar, 7Kiatpongsan S Kim JJ Costs and cost-effectiveness of 9-valent human papillomavirus (HPV) vaccination in two East African countries.PLoS One. 2014; 9: e106836Crossref PubMed Scopus (22) Google Scholar, 8Weiss T, Pillsbury M, Dasbach E. Potential health and economic impact of the 9-valent HPV vaccine in the United States. International Human Papillomavirus Conference; Seattle, WA, USA; Aug 20–25, 2014. PH.OA06.04 (abstr).Google Scholar and have shown that the predicted cost savings and gains in quality adjusted life-years (QALY) are largely attributable to reductions in the burden associated with surveillance and treatment of precancerous lesions, and thus contingent on the screening algorithm.5Brisson M Laprise JF Chesson HW et al.Health and economic impact of switching from a 4-valent to a 9-valent HPV vaccination program in the United States.J Natl Cancer Inst. 2016; 108: djv282Crossref PubMed Scopus (67) Google Scholar, 8Weiss T, Pillsbury M, Dasbach E. Potential health and economic impact of the 9-valent HPV vaccine in the United States. International Human Papillomavirus Conference; Seattle, WA, USA; Aug 20–25, 2014. PH.OA06.04 (abstr).Google Scholar However, these analyses were not done in the context of primary HPV screening so, for countries considering this transition, Simms and colleagues' study is the first to provide an indication of cost-effectiveness of HPV9, albeit specifically in an Australian setting. A study by Kim and colleagues9Kim JJ Burger EA Sy S Campos NG Optimal cervical cancer screening in women vaccinated against human papillomavirus.J Natl Cancer Inst. 2017; 109: djv216Crossref Scopus (55) Google Scholar took a somewhat different approach in that the aim was to identify the most cost-effective cervical screening strategy for US women already vaccinated with the HPV2, HPV4, or HPV9 vaccine. Simms and colleagues estimate the incremental effect of HPV9 on the lifetime risk of precancer treatment, cervical cancer diagnosis, and cervical cancer death, as well as the maximum additional cost per dose of HPV9 over HPV4 at a willingness-to-pay threshold of AUS$30 000 per QALY. Both one-way and probabilistic sensitivity analyses were done for a wide range of scenarios. The approach is novel in that two separately developed and validated models accounting for HPV transmission, vaccination, natural history (including cervical precancer and cancer), and screening were used independently to do the analyses, and the findings compared. Whereas one model (Policy1-Cervix) was originally designed for evaluations in an Australian setting, the other (HPV-ADVISE) has been designed for Canadian and US settings, and was recalibrated for this study to Australian cervical cancer rates. Under base-case assumptions (for which there were differences between the models), both models showed that, in addition to the reductions in lifetime risk of cervical cancer and death attributable to HPV screening (>18% vs cytology) and HPV4 vaccination (a further >50%), a transition to HPV9 will provide a further 11% reduction in these outcomes. On this basis, Simms and colleagues estimate that for HPV9 to be a cost-effective replacement for HPV4 under the same sets of assumptions, the additional cost per dose cannot exceed AUS$23 (HPV-ADVISE) to AUS$36 (Polycy1-Cervix). This study provides an important and valuable framework for decision makers to assess the cost-effectiveness of transitioning to HPV9 in combination with primary HPV screening for cervical cancer. Although the results reported are for the Australian setting, costs and other key inputs can be modified to enable the same analyses to be done in other settings. The study has several strengths, including the use of two independently developed models that provides a level of confidence in the robustness of the predicted outcomes, both of which incorporate dynamic HPV transmission components that account for herd immunity effects. But how widely applicable is this framework to other settings? The study by Kim and colleagues,9Kim JJ Burger EA Sy S Campos NG Optimal cervical cancer screening in women vaccinated against human papillomavirus.J Natl Cancer Inst. 2017; 109: djv216Crossref Scopus (55) Google Scholar while focusing on women already vaccinated, examines a range of alternative screening strategies and shows that the most cost-effective strategy might depend on several factors, including the proportion vaccinated, the vaccine used (HPV2, 4, or 9), the age of first screen, and the screening frequency. In another study,10Felix JC Lacey MJ Miller JD Lenhart GM Spitzer M Kulkarni R The clinical and economic benefits of co-testing versus primary HPV testing for cervical cancer screening: a modeling analysis.J Women's Health. 2016; 25: 606-616Crossref PubMed Scopus (22) Google Scholar that did not investigate the effect of vaccination, Felix and colleagues suggest that HPV RNA testing including genotyping for HPV types 16 and 18 (co-testing) might have greater effectiveness in reducing cervical cancer incidence and deaths at a lower cost than primary DNA-based HPV testing. What is certain, as discussed by El-Zein and colleagues,11El-Zein M Richardson L Franco EL Cervical cancer screening of HPV vaccinated populations: cytology, molecular testing, both or none.J Clin Virol. 2016; 76: S62-S68Summary Full Text Full Text PDF PubMed Scopus (40) Google Scholar is that screening practices will evolve over time as cervical precancerous lesions become increasingly rare, to the extent that the harms of screening might eventually outweigh the benefits. Finally, the most cost-effective combination of vaccination and screening might not be the one that maximises reductions in cervical cancer incidence and death. Even if elimination of cervical cancer were possible, the measures required to achieve this are likely to be unaffordable. Ultimately, society should decide the price it is willing to pay for the prevention of cervical cancer. DGR and BD receive HPV research funding from Seqirus and the Australian Government. BD has received speaker's honoraria from Merck. Cost-effectiveness of the next generation nonavalent human papillomavirus vaccine in the context of primary human papillomavirus screening in Australia: a comparative modelling analysisDiffering methods and assumptions led to some differences in the estimates produced by the two models. However, on the basis of median results, HPV9 will be a cost-effective alternative to HPV4 if the additional cost per dose is AUS$23–36 (US$18–28). These results will be important when determining the optimum price of the vaccine in Australia. Full-Text PDF Open Access

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)0,004
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
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 enseignants0,190
Score d'incertitude au seuil0,997

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0040,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,002
Charge utile insuffisante (le modèle a refusé de juger)0,0040,000

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 Opus0,207
Tête enseignante GPT0,427
Écart entre enseignants0,220 · 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 tête enseignante, pas un consensus.

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

Citations4
Publié2016
Routes d'admission1
Résumé présentoui

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