Human papillomavirus (HPV) is the main risk factor for invasive cervical cancer.
High risk ratios are found in cross-sectional data on HPV prevalence.
The question raised is whether this present evidence is sufficient for making firm recommendations on HPV screening.
A validated cervical cancer screening model was extended by adding HPV infection as a possible precursor of cervical intraepithelial neoplasia (Cl N).
Two widely different model quantifications were constructed so that both were compatible with the observed HPV risk ratios.
One model assumed a much longer duration of HPV infection before progressing to CIN and a higher sensitivity of the HPV test than the other.
In one version of the model, the calculated mortality reduction from HPV screening was higher and the (cost-) effectiveness was much better than for Pap smear screening.
In the other version, outcomes were the opposite, although the cost-effectiveness of the combined HPV+cytology test was close to that of Pap smear screening.
Although small follow-up studies and studies with limited strength of design suggest that HPV testing may well improve cervical cancer screening, only large longitudinal screening studies on the association between HPV infection and the development of neoplasias can give outcomes that would enable a firm conclusion to be made on the (cost-) effectiveness of HPV screening.
Prospective studies should address women aged 30-60 years.
Mots-clés Pascal : Tumeur maligne, Lésion précancéreuse, Col utérus, Dépistage, Facteur risque, Réaction chaîne polymérase, Papillomavirus humain, Papillomavirus, Papovaviridae, Virus, Analyse coût efficacité, Modèle, Homme, Femelle, Appareil génital femelle pathologie, Col utérus pathologie, Biologie moléculaire
Mots-clés Pascal anglais : Malignant tumor, Premalignant lesion, Uterine cervix, Medical screening, Risk factor, Polymerase chain reaction, Human papillomavirus, Papillomavirus, Papovaviridae, Virus, Cost efficiency analysis, Models, Human, Female, Female genital diseases, Uterine cervix diseases, Molecular biology
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 97-0438721
Code Inist : 002B20C02. Création : 19/12/1997.