The DOI matches its Crossref record.
Comparison of HPV type distribution in high-grade cervical lesions and cervical cancer: a meta-analysis
Open accessAbstract
Particular types of human papillomavirus (HPV) infection may preferentially progress from high-grade squamous intraepithelial lesions (HSIL) to squamous cell carcinoma of the cervix (SCC). We performed a meta-analysis of published data to compare HPV type distribution in HSIL and SCC. HPV16, 18 and 45 were each more prevalent in SCC than HSIL, whereas the reverse was true for other oncogenic types including HPV31, 33, 52 and 58. These data suggest that HSILs infected with HPV16, 18 and 45 preferentially progress to SCC. This may have implications for follow-up protocols of future HPV-based cervical cancer screening programmes and for HPV vaccine trials.
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
de Sanjosé, S., Diaz, M., Castellsagué, X., Clifford, G., Bruni, L., Muñoz, N., & Bosch, F. X. (2007) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(07)70158-5 · Cited by 1,669
Self-citationHarper, D. M., Franco, E. L., Wheeler, C., Ferris, D. G., Jenkins, D., Schuind, A., Zahaf, T., Innis, B., Naud, P., De Carvalho, N. S., et al. (2004) · The Lancet · doi:10.1016/s0140-6736(04)17398-4 · Cited by 1,643
Guan, P., Howell‐Jones, R., Li, N., Bruni, L., de Sanjosé, S., Franceschi, S., & Clifford, G. M. (2012) · International Journal of Cancer · doi:10.1002/ijc.27485 · Cited by 927
Self-citationClifford, G. M., Rana, R. K., Franceschi, S., Smith, J. S., Gough, G., & Pimenta, J. M. (2005) · Cancer Epidemiology, Biomarkers & Prevention · doi:10.1158/1055-9965.epi-04-0812 · Cited by 533
Self-citationMao, C., Koutsky, L. A., Ault, K. A., Wheeler, C. M., Brown, D. R., Wiley, D. J., Alvarez, F. B., Bautista, O. M., Jansen, K. U., & Barr, E. (2006) · Obstetrics & Gynecology · doi:10.1097/01.aog.0000192397.41191.fb · Cited by 451
Metadata
- Authors
- Clifford, G. M., Smith, J. S., Aguado, T., & Franceschi, S.
- Venue
- British Journal of Cancer
- Published
- 2003-07
- Volume
- 89
- Issue
- 1
- Pages
- 101-105
- ISSN
- 0007-0920 (ISSN-L)
- 1532-1827
- OpenAlex
- W2066860562
- Cited by
- 684
- References
- 0
- FWCI
- 20.63
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Comparison of HPV type distribution in high-grade cervical lesions and cervical cancer: a meta-analysis. https://app.cochat.ai/papers/10.1038/sj.bjc.6601024
- The paper
- Clifford, G. M., Smith, J. S., Aguado, T., & Franceschi, S. (2003). Comparison of HPV type distribution in high-grade cervical lesions and cervical cancer: a meta-analysis. British Journal of Cancer. https://doi.org/10.1038/sj.bjc.6601024
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.
