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Structured Literature Review to Identify Human Papillomavirus's Natural History Parameters for Dynamic Population Models of Vaccine Impacts.
Diakite, Ibrahim; Martins, Bruno; Owusu-Edusei, Kwame; Palmer, Cody; Patterson-Lomba, Oscar; Gomez-Lievano, Andres; Zion, Abigail; Simpson, Ryan; Daniels, Vincent; Elbasha, Elamin.
Afiliação
  • Diakite I; Health Economic and Decision Sciences, Merck & Co., Inc., Rahway, NJ, 07065, USA. ibrahim.diakite@merck.com.
  • Martins B; Merck & Co., Inc. Biostatistics and Research Decision Sciences (BARDS), Health Economic and Decision Sciences (HEDS), Vaccines, WP 37A-150 770 Sumneytown Pike, 1st Floor, West Point, PA, 19486, USA. ibrahim.diakite@merck.com.
  • Owusu-Edusei K; Analysis Group, Inc, 111 Huntington Avenue, 14th Floor, Boston, MA, 02199, USA.
  • Palmer C; Health Economic and Decision Sciences, Merck & Co., Inc., Rahway, NJ, 07065, USA.
  • Patterson-Lomba O; Health Economic and Decision Sciences, Merck & Co., Inc., Rahway, NJ, 07065, USA.
  • Gomez-Lievano A; Analysis Group, Inc, 111 Huntington Avenue, 14th Floor, Boston, MA, 02199, USA.
  • Zion A; Analysis Group, Inc, 111 Huntington Avenue, 14th Floor, Boston, MA, 02199, USA.
  • Simpson R; Analysis Group, Inc, 111 Huntington Avenue, 14th Floor, Boston, MA, 02199, USA.
  • Daniels V; Analysis Group, Inc, 111 Huntington Avenue, 14th Floor, Boston, MA, 02199, USA.
  • Elbasha E; Health Economic and Decision Sciences, Merck & Co., Inc., Rahway, NJ, 07065, USA.
Infect Dis Ther ; 13(5): 965-990, 2024 May.
Article em En | MEDLINE | ID: mdl-38589763
ABSTRACT
Human papillomavirus (HPV) is a common sexually transmitted virus that can cause cervical cancer and other diseases. Dynamic transmission models (DTMs) have been developed to evaluate the health and economic impacts of HPV vaccination. These models typically include many parameters, such as natural history of the disease, transmission, demographic, behavioral, and screening. To ensure the accuracy of DTM projections, it is important to parameterize them with the best available evidence. This study aimed to identify and synthesize data needed to parametrize DTMs on the natural history of HPV infection and related diseases. Parameters describing data of interest were grouped by their anatomical location (genital warts, recurrent respiratory papillomatosis, and cervical, anal, vaginal, vulvar, head and neck, and penile cancers), and natural history (progression, regression, death, cure, recurrence, detection), and were identified through a systematic literature review (SLR) and complementary targeted literature reviews (TLRs). The extracted data were then synthesized by pooling parameter values across publications, and summarized using the range of values across studies reporting each parameter and the median value from the most relevant study. Data were extracted and synthesized from 223 studies identified in the SLR and TLRs. Parameters frequently reported pertained to cervical cancer outcomes, while data for other anatomical locations were less available. The synthesis of the data provides a large volume of parameter values to inform HPV DTMs, such as annual progression rates from cervical intraepithelial neoplasia (CIN) 1 to CIN 2+ (median of highest quality estimate 0.0836), CIN 2 to CIN 3+ (0.0418), carcinoma in situ (CIS) 2 to local cancer+ (0.0396), and regional to distant cancer (0.0474). Our findings suggest that while there is a large body of evidence on cervical cancer, parameter values featured substantial heterogeneity across studies, and further studies are needed to better parametrize the non-cervical components of HPV DTMs.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Infect Dis Ther Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Infect Dis Ther Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos
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