The DOI matches its Crossref record.
Human Papillomavirus Infection of the Cervix: Relative Risk Association of 15 Common Anogenital Types
Abstract
In 1992 Lorincz et al. were the first to evaluate the clinicopathologic correlation with 11 recently identified human papillomavirus (HPV) genotypes: 31, 33, 35, 42, 43, 44, 45, 51, 52, 56, and 58. Using cervical samples from 8 studies that included specimens from 2627 women, HPV genotypes were categorized by the likelihood of association with grades of cervical neoplasia (from normal to cancer). These findings were the basis of the determination that (a) HPV causes cervical cancer, (b) detection of the cancer associated HPV genotypes could identify women at risk for cervical pre-cancer and cancer, and (c) a prophylactic HPV vaccine should include protection against (at least) HPV 16 and 18.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Human papillomavirus and cervical cancer
Burd, E. M. (2003) · Clinical Microbiology Reviews · doi:10.1128/cmr.16.1.1-17.2003 · Cited by 2,420
Epidemiology of Genital Human Papillomavirus Infection
Koutsky, P. (1997) · The American Journal of Medicine · doi:10.1016/s0002-9343(97)00177-0 · Cited by 1,107
Molecular biology of human papillomavirus infection and cervical cancer
Doorbar, J. (2006) · Clinical Science · doi:10.1042/cs20050369 · Cited by 1,072
The epidemiology of genital human papillomavirus infection
Trottier, H., & Franco, E. L. (2006) · Vaccine · doi:10.1016/j.vaccine.2005.09.054 · Cited by 686
Clifford, G. M., Smith, J. S., Aguado, T., & Franceschi, S. (2003) · British Journal of Cancer · doi:10.1038/sj.bjc.6601024 · Cited by 684
Metadata
- Authors
- Mills, J. M., & Stier, E. A.
- Venue
- 50 Studies Every Obstetrician-Gynecologist Should Know
- Publisher
- Oxford University Press
- Published
- 2021-01
- Pages
- 170-174
- OpenAlex
- W3128343078
- Cited by
- 756
- References
- 0
- FWCI
- 7.31
- Type
- book chapter
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Human Papillomavirus Infection of the Cervix: Relative Risk Association of 15 Common Anogenital Types. https://app.cochat.ai/papers/10.1093/med/9780190947088.003.0031
- The paper
- Mills, J. M., & Stier, E. A. (2021). Human Papillomavirus Infection of the Cervix: Relative Risk Association of 15 Common Anogenital Types. 50 Studies Every Obstetrician-Gynecologist Should Know. https://doi.org/10.1093/med/9780190947088.003.0031
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.