The DOI matches its Crossref record; 102 of the 102 references it cites were found in a registry or an index.
Persistent Human Papillomavirus Infection and Cervical Neoplasia: A Systematic Review and Meta-Analysis
Open accessAbstract
Detection of persistent cervical carcinogenic human papillomavirus (HPV) DNA is used as a marker for cervical cancer risk in clinical trials. The authors performed a systematic review and meta-analysis of the association between persistent HPV DNA and high-grade cervical intraepithelial neoplasia (CIN2-3), high-grade squamous intraepithelial lesions (HSIL), and invasive cervical cancer (together designated CIN2-3/HSIL+) to evaluate the robustness of HPV persistence for clinical use. MEDLINE and Current Contents were searched through January 30, 2006. Relative risks (RRs) were stratified by HPV comparison group. Of 2,035 abstracts, 41 studies were eligible for inclusion in the meta-analysis. Over 22,500 women were included in calculation of RRs for persistent HPV DNA detection and cervical neoplasia. RRs ranged from 1.3 (95% confidence interval: 1.1, 1.5) to 813.0 (95% confidence interval: 168.2, 3,229.2) for CIN2-3/HSIL+ versus 12 months), wider testing intervals, CIN2-3/HSIL+, and use of an HPV-negative reference group were consistently associated with higher RRs. Thus, HPV persistence was consistently and strongly associated with CIN2-3/HSIL+, despite wide variation in definitions and study methods. The magnitude of association varied by duration of persistence and testing interval. Precise definition and standardization of HPV testing, sampling procedure, and test interval are needed for reliable clinical testing. These findings validate HPV persistence as a clinical marker and endpoint.
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Bias in meta-analysis detected by a simple, graphical test
Egger, M., Smith, G. D., Schneider, M., & Minder, C. (1997) · BMJ · doi:10.1136/bmj.315.7109.629 · Cited by 56,722
Operating characteristics of a rank correlation test for publication bias
Begg, C. B., & Mazumdar, M. (1994) · Biometrics · doi:10.2307/2533446 · Cited by 16,955
Duval, S., & Tweedie, R. (2000) · Biometrics · doi:10.1111/j.0006-341x.2000.00455.x · Cited by 14,099
Epidemiologic classification of human papillomavirus types associated with cervical cancer
Muñoz, N., Bosch, F. X., de Sanjosé, S., Herrero, R., Castellsagué, X., Shah, K. V., Snijders, P. J. F., & Meijer, C. J. L. M. (2003) · New England Journal of Medicine · doi:10.1056/nejmoa021641 · Cited by 6,249
Cancer incidence, mortality and prevalence worldwide
Ferlay, J. (2004) · Medical Entomology and Zoology · Cited by 3,796
The causal relation between human papillomavirus and cervical cancer
Bosch, F. X., Lorincz, A., Munoz, N., Meijer, C. J. L. M., & Shah, K. V. (2002) · Journal of Clinical Pathology · doi:10.1136/jcp.55.4.244 · Cited by 3,538
Human papillomavirus and cervical cancer
Schiffman, M., Castle, P. E., Jeronimo, J., Rodriguez, A. C., & Wacholder, S. (2007) · The Lancet · doi:10.1016/s0140-6736(07)61416-0 · Cited by 2,985
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
Natural History of Cervicovaginal Papillomavirus Infection in Young Women
Ho, G. Y. F., Bierman, R., Beardsley, L., Chang, C. J., & Burk, R. D. (1998) · New England Journal of Medicine · doi:10.1056/nejm199802123380703 · Cited by 2,329
Publication and related bias in meta-analysis
Sterne, J. A. C., Gavaghan, D., & Egger, M. (2000) · Journal of Clinical Epidemiology · doi:10.1016/s0895-4356(00)00242-0 · Cited by 2,282 · cited 2×
“Asymmetry can reflect publication bias, random error, or study characteristics associated with sample size (46).”
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Paavonen, J., Naud, P., Salmerón, J., Wheeler, C., Chow, S.-N., Apter, D., Kitchener, H., Castellsague, X., Teixeira, J., Skinner, Sr., et al. (2009) · The Lancet · doi:10.1016/s0140-6736(09)61248-4 · Cited by 1,655
Self-citationKjaer, S. K., Frederiksen, K., Munk, C., & Iftner, T. (2010) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djq356 · Cited by 579
Wheeler, C. M., Castellsagué, X., Garland, S. M., Szarewski, A., Paavonen, J., Naud, P., Salmerón, J., Chow, S.-N., Apter, D., Kitchener, H., et al. (2012) · The Lancet Oncology · doi:10.1016/s1470-2045(11)70287-x · Cited by 507
Alemany, L., Saunier, M., Alvarado-Cabrero, I., Quirós, B., Salmeron, J., Shin, H.-R., Pirog, E. C., Guimerà, N., Hernandez-Suarez, G., Felix, A., et al. (2015) · International Journal of Cancer · doi:10.1002/ijc.28963 · Cited by 388
Age-Specific Prevalence of Infection with Human Papillomavirus in Females: A Global Review
Smith, J. S., Melendy, A., Rana, R. K., & Pimenta, J. M. (2008) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2008.07.009 · Cited by 377
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Metadata
- Authors
- Koshiol, J., Lindsay, L., Pimenta, J. M., Poole, C., Jenkins, D., & Smith, J. S.
- Venue
- American Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2008-05-15
- Volume
- 168
- Issue
- 2
- Pages
- 123-137
- ISSN
- 0002-9262 (ISSN-L)
- 1476-6256
- OpenAlex
- W2103347596
- Cited by
- 428
- References
- 102
- FWCI
- 3.75
- Type
- journal article
- Language
- en
- Open access
- green
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