Join the 200th Anniversary Celebration

Original Article

Risk of Cervical Cancer Associated with Extending the Interval between Cervical-Cancer Screenings

George F. Sawaya, M.D., K. John McConnell, Ph.D., Shalini L. Kulasingam, Ph.D., Herschel W. Lawson, M.D., Karla Kerlikowske, M.D., Joy Melnikow, M.D., M.P.H., Nancy C. Lee, M.D., Ginny Gildengorin, Ph.D., Evan R. Myers, M.D., M.P.H., and A. Eugene Washington, M.D.

N Engl J Med 2003; 349:1501-1509October 16, 2003

Abstract

Background

Although contemporary guidelines suggest that the intervals between Papanicolaou tests can be extended to three years among low-risk women with previous negative tests, the excess risk of cervical cancer associated with less frequent than annual screening is uncertain.

Methods

We determined the prevalence of biopsy-proven cervical neoplasia among 938,576 women younger than 65 years of age, stratified according to the number of previous consecutive negative Papanicolaou tests. Using a Markov model that estimates the rate at which dysplasia will progress to cancer, we estimated the risk of cancer within three years after one or more negative Papanicolaou tests, as well as the number of additional Papanicolaou tests and colposcopic examinations that would be required to avert one case of cancer given a particular interval between screenings.

Results

Among 31,728 women 30 to 64 years of age who had had three or more consecutive negative tests, the prevalence of biopsy-proven cervical intraepithelial neoplasia of grade 2 was 0.028 percent and the prevalence of grade 3 neoplasia was 0.019 percent; none of the women had invasive cervical cancer. According to our model, the estimated risk of cancer with annual Papanicolaou tests for three years was 2 in 100,000 among women 30 to 44 years of age, 1 in 100,000 among women 45 to 59 years of age, and 1 in 100,000 among women 60 to 64 years of age; these risks would be 5 in 100,000, 2 in 100,000, and 1 in 100,000, respectively, if screening were performed once three years after the last negative test. To avert one additional case of cancer by screening 100,000 women annually for three years rather than once three years after the last negative test, an average of 69,665 additional Papanicolaou tests and 3861 colposcopic examinations would be needed in women 30 to 44 years of age and an average of 209,324 additional Papanicolaou tests and 11,502 colposcopic examinations in women 45 to 59 years of age.

Conclusions

As compared with annual screening for three years, screening performed once three years after the last negative test in women 30 to 64 years of age who have had three or more consecutive negative Papanicolaou tests is associated with an average excess risk of cervical cancer of approximately 3 in 100,000.

Media in This Article

Table 1Summary Estimates Used in the Markov Model.
Table 2Characteristics of the 938,576 Women Included in the Analysis.
Article

Citing the lack of direct evidence that annual screening leads to better outcomes than screening performed every three years, the U.S. Preventive Services Task Force recently recommended that screening for cervical cancer be performed “at least every three years” rather than every year.1 Similarly, guidelines issued by the American Cancer Society suggest lengthening the intervals between screenings to as long as three years among women 30 years of age or older who have had negative results on three or more consecutive cervical cytologic tests.2 Despite recommendations issued in 1988 that women with previous negative tests undergo screening less frequently than once a year,3 many clinicians perform screening annually. Resistance to screening less frequently may be due to a perception that there is an unacceptably high excess risk of cervical cancer.

The risk of cancer associated with an interval between screenings of more than 12 months among women in the United States who have had negative results on multiple previous, frequent tests has not been determined, but it is important to quantify this risk. Recently, attention has been paid to the addition of more sensitive tests (such as detection of oncogenic human papillomavirus [HPV] DNA)4 to cytologic tests; the risk of cancer among women who have undergone conventional cytologic testing represents a base-line level of risk that might be reduced with the use of more sensitive tests. For example, a combined cytologic and HPV DNA test has been recommended by the American Cancer Society as a “reasonable” alternative to cytologic testing alone for women 30 years of age or older, with an explicit recommendation that the test not be performed more often than every three years.2 It is therefore important to current and future screening strategies that women with previous negative tests and their clinicians accept less frequent screening. Moreover, comparative analyses of various strategies indicate that the frequency of screening is an important variable influencing cost effectiveness.5 To date, the absence of clinically derived estimates of risk has limited the ability of clinicians, women, and the developers of guidelines1 to make evidence-based decisions about the frequency of screening and the optimal screening method.

Using data on outcomes from a large, national, publicly funded program of cervical-cancer screening, we conducted a study to estimate the excess risk of cancer associated with extended intervals between screenings among women with documentation of negative results on consecutive conventional Papanicolaou tests. We also estimated the average numbers of additional Papanicolaou tests and colposcopic examinations that would be needed to avert one case of cancer with the use of various screening intervals among women of various ages.

Methods

Source of Data

We analyzed data from the National Breast and Cervical Cancer Early Detection Program administered by the Centers for Disease Control and Prevention (CDC). This program has provided cervical-cancer screening to low-income, underinsured women throughout the United States since 1991. Methods for the collection and reporting of data have been described previously.6-8 Briefly, the CDC established minimum data elements to be collected for each woman receiving screening services, including data on demographics, screening results, diagnostic procedures, and histologic outcomes. Local program officials standardize the data categories before submitting information semiannually to the CDC.

Identifying information was removed from the program data. The study was conducted under a data-use agreement approved by the institutional review board of the CDC, and approval was obtained from the Committee on Human Research at the University of California, San Francisco.

We focused on the screening results reported between January 1991 and March 2000. Most tests were conventional, rather than liquid-based, cytologic analyses and were interpreted at laboratories throughout the country. The results were reported according to 1991 Bethesda System categories. We excluded 11,276 tests that were reported to be wholly unsatisfactory, 1446 tests whose results were pending, and 7062 tests reported as unclassified. We excluded 100 women for whom no birth date was given and 57 women with missing screening dates.

Screening and Age Categories

We grouped women into four screening categories: women with only one Papanicolaou test obtained through the CDC program, those with an initial negative Papanicolaou test followed by a second Papanicolaou test, those with two negative Papanicolaou tests followed by a third Papanicolaou test, and those with at least three negative Papanicolaou tests followed by another Papanicolaou test. We defined a negative Papanicolaou test as a test interpreted as normal or as indicating the presence of infection or reactive changes; we defined consecutive tests as those performed within 36 months of one another. If more than 36 months elapsed between any two tests and additional tests were subsequently performed, the most recent screening history was examined (e.g., if a woman had a single Papanicolaou test performed in 1991, followed by annual tests in 1995, 1996, and 1997, we examined outcomes related only to the latter three tests). We assumed that Papanicolaou tests performed more often than every nine months were for surveillance (e.g., for follow-up after treatment of dysplasia) rather than screening. Therefore, if a test was reported within nine months after another test, we excluded that test and all subsequent tests in order to focus exclusively on tests performed for screening. Screening categories were not mutually exclusive: a woman with four negative Papanicolaou tests, for example, would be counted in each category if she met the criteria described above.

We calculated the age of the woman on the basis of the birth date reported at the time of enrollment in the program and grouped women into four categories according to their age at the time of the most recent test. Since the program currently screens few women who are 65 years of age or older, we did not evaluate outcomes in this age group.

Histologic Classification

The prevalence of dysplasia and the prevalence of cancer were determined through examination of the histologic findings reported for women in each screening category and each age category. Most histologic dysplasia was identified with the use of colposcopy-guided biopsy in women with abnormal cytologic findings, according to published guidelines.9 Abnormal histologic findings were classified as biopsy-proven grade 1, grade 2, or grade 3 cervical intraepithelial neoplasia or as cancer (with the cell type not specified). Confidence intervals were calculated by the Wilson-score method with continuity correction.10

Model and Estimates

We hypothesized that few cases of cancer would be found in women with three or more previous negative tests. Therefore, we used a Markov model of the natural history of cervical cancer to estimate the risk of newly diagnosed cancer that would be predicted to occur on the basis of a given prevalence of dysplasia. The components of the model have been described previously.11,12 Important summary estimates and assumptions are shown in Table 1Table 1Summary Estimates Used in the Markov Model..

Using the observed prevalence of dysplasia in combination with the components of the model specific to the regression and progression of dysplasia, we estimated the average risk of cancer in hypothetical cohorts of 100,000 women who were screened once three years after the last negative test rather than annually, with stratification according to age and the number of previous negative tests. We began our analysis with the group of women with one previous test, since the CDC program was not considering extending the intervals between screenings for women with no previous documented negative tests. To avoid underestimating risks, we conservatively assumed that all grade 2 lesions of cervical intraepithelial neoplasia progress to invasive cancer at the same rate as grade 3 lesions progress. We performed sensitivity analyses to determine how the outcomes would change if we assumed that grade 2 cervical intraepithelial neoplasia had a natural history identical to that of grade 1 neoplasia or if the observed prevalence of dysplasia were doubled.

We calculated by subtraction the differences between groups in the absolute risk of cancer and determined the average number of additional Papanicolaou tests and colposcopic examinations that would be needed to avert one case of cancer in hypothetical cohorts of 100,000 women in each age category who had had three or more negative Papanicolaou tests. The number of Papanicolaou tests required to screen each cohort annually for three years was determined under the assumption that all women adhere to screening and that women found to have atypical squamous cells of undetermined significance would undergo a repeated Papanicolaou test. The number of colposcopic examinations was estimated from the model under the assumption that all women with low-grade squamous intraepithelial lesions or a worse abnormality on cytologic analysis would undergo colposcopy and that women with an initial test interpreted as atypical squamous cells of undetermined significance in whom the repeated test revealed the same or a worse abnormality would undergo colposcopy.

Results

Our analysis focused on 1,174,727 cervical cytologic tests performed in 938,576 women younger than 65 years of age. The largest percentage of women were 45 to 64 years of age, and about one half were identified in their records as nonwhite (Table 2Table 2Characteristics of the 938,576 Women Included in the Analysis.). In general, the prevalence of biopsy-proven dysplasia of any grade was highest among women younger than 30 years of age and among women with no previous Papanicolaou tests performed through the CDC program (Table 3Table 3Observed Prevalence of Biopsy-Proven Cervical Intraepithelial Neoplasia of Grades 1, 2, and 3 and Invasive Cervical Cancer.). The prevalence decreased as the number of previous negative tests increased among women in all age groups. Among women younger than 30 years of age, we found little difference in the prevalence of dysplasia between women who had had one negative test and those who had had two negative tests. Cancer was rare and was most often diagnosed in women who had not previously undergone a Papanicolaou test through the CDC program. Among the 32,230 women who had had three or more consecutive negative tests, high-grade dysplasia was uncommon in all age groups: 9 women (0.028 percent) had grade 2 cervical intraepithelial neoplasia, 7 women (0.022 percent) had grade 3 cervical intraepithelial neoplasia, and none had cancer. When the analysis was limited to the 31,728 women 30 to 64 years of age who had had three or more consecutive negative tests, the corresponding rates were 0.028 percent and 0.019 percent, respectively.

As the number of previous negative tests increased, there was a corresponding decrease in the average number of cases of cancer that the model projected would occur over a three-year period, whether screening was performed annually or once three years after the last negative test (Table 4Table 4Projected Outcomes after Cervical-Cancer Screening in Hypothetical Cohorts of 100,000 Women Screened Annually for Three Years and Hypothetical Cohorts of 100,000 Women Screened Once Three Years after the Last Negative Test.). Among women with three or more previous negative tests, the average estimated number of cases of cancer per 100,000 women screened annually for three years was highest among women younger than 30 years of age; screening once three years after the last negative test would be anticipated to result in the occurrence of an average of five extra cases of cancer in a hypothetical cohort of 100,000 women in this age group (Table 4). Among women 30 to 44 years of age, three extra cases of cancers would be expected to occur per 100,000 women screened once three years after the last negative test; and among women 45 to 59 years of age, one extra case of cancer per 100,000 women would be expected to occur. We could not demonstrate any difference in the number of cases of cancer that would be anticipated among women 60 to 64 years of age. The average numbers of additional Papanicolaou tests and colposcopic examinations that would be required to avert one case of cancer through annual screening rather than screening performed once three years after the last negative test among women 30 to 44 years of age and women 45 to 59 years of age with at least three previous negative tests are shown in Table 5Table 5Average Estimated Number of Additional Tests That Would Be Required to Avert One Case of Invasive Cervical Cancer through Annual Screening Rather Than Screening Performed Once Three Years after the Last Negative Test in Hypothetical Cohorts of 100,000 Women with Three or More Previous Negative Papanicolaou Tests..

In sensitivity analyses, a doubling of the prevalence of dysplasia was associated with an average of two additional cases of cancer per 100,000 women 30 to 44 years of age, one additional case of cancer per 100,000 women 45 to 59 years of age, and one additional case of cancer per 100,000 women 60 to 64 years of age. In analyses in which grade 2 cervical intraepithelial neoplasia was assumed to have a natural history like that of grade 1 cervical intraepithelial neoplasia, the differences in the risk of cancer were smaller (Table 4) and the number of procedures that would be required to avert one case was greater (data not shown).

Discussion

Women 30 to 64 years of age with three or more previous negative Papanicolaou tests who are screened once three years after the last negative test rather than annually have an excess risk of cancer of no more than 3 in 100,000. Continued annual screening, with the use of more sensitive techniques, in women who have been undergoing regular screening can reduce this risk, but such ongoing screening requires substantial resources and many colposcopic procedures. The fact that the difference in the risk of cancer is small highlights the importance of attention to the costs and the harms associated with overscreening. For comparison, this risk is similar in magnitude to the annual risk of breast cancer among men 45 to 64 years of age (1 to 4 in 100,000).26

Our data were derived from a large population in the United States that was racially, ethnically, and geographically diverse. The data set is notable in that the final histologic diagnoses were recorded. Several limitations of our study must be acknowledged. The data set was collected for the purposes of program administration and evaluation, not as part of a research protocol, and we do not have information on other risk factors for cervical cancer in these women. It is possible that the data underestimate or overestimate the prevalence of neoplasia. We did not have verification of the cytologic or histologic outcomes. Previous studies, however, have demonstrated that interpretations of cytologic27 and histologic28 findings are routinely downgraded when they are reviewed by an expert panel. Community-based readings, therefore, would be more likely to overestimate rather than to underestimate the severity of abnormal findings. In our population, the prevalence of cervical intraepithelial neoplasia of grade 2 or higher among women who had had no previous Papanicolaou test performed through the CDC program was 1.3 percent overall (range, 0.33 percent among women 60 to 64 years of age to 4.9 percent among women younger than 30 years of age). Although direct comparisons with findings from other populations are complicated by differences in the age ranges, the screening histories, and the methods used for the detection of neoplasia, the prevalence rates found in our study appear to be similar to but somewhat lower than those reported by others (range, 1.6 to 4.3 percent),29-32 perhaps because of the greater number of women in older age groups in our population or because of underestimation. Sensitivity analyses demonstrated that a doubling of the estimated prevalence of dysplasia had little effect on the number of cases of cancer that would be expected to occur within three years. Our estimates of the risk of cancer after negative results on cytologic testing are also similar to findings in other populations. Swedish investigators reported an annual incidence of squamous-cell cancer of 0.8 per 100,000 women with at least one previous negative test.33

Important assumptions used in the model affect the calculated risks. We assumed that all women would adhere to screening, follow-up, and treatment recommendations. The risk of cancer among women without such adherence would be underestimated by our model if important dysplasia were not found and treated. If the sensitivity of colposcopy were lower than we assumed or treatment were less effective than we assumed, the calculated risks of cancer would be higher. We also assumed that the sensitivity and specificity of conventional cytologic testing34 are applicable to the settings in which the tests offered through the CDC program were performed. The accuracy of tests may vary considerably according to the setting and depending on the methods used for collection, processing, and interpretation. Since the CDC program screens women in many different clinical settings and cervical tests are read at laboratories throughout the United States,8 our findings are representative of outcomes throughout the country. Most tests were based on conventional cytologic analysis; if liquid-based cytologic testing has greater sensitivity than conventional cytologic testing, as some have suggested,34-36 the prevalence of dysplasia and the risk of cancer among women who have had three or more negative results on liquid-based tests will be lower than those reported here.

Because of the low prevalence of dysplasia among women 60 to 64 years of age who had had three or more negative tests, annual screening yielded the same number of expected cases of cancer as screening once three years after the last negative test. For this relatively small group of women (7500 women), however, the estimates of the prevalence of dysplasia may be imprecise. Nonetheless, sensitivity analyses in which the prevalence of dysplasia was doubled indicated that only one additional case of cancer would be expected. Among women younger than 30 years of age, we found inconsistent relations between the prevalence of dysplasia and the number of previous negative tests. The American Cancer Society suggests that the intervals between screenings be increased after negative tests only among women 30 years of age or older. Given that widespread screening appears to have had minimal effect on the incidence of cervical cancer among younger women37,38 and that the long-term effects of the treatments used for cervical dysplasia are unclear, additional data are required in order to evaluate the implications of more frequent screening of women in this age group.

The observed prevalence of neoplasia among women who were screened after having negative cytologic tests may be influenced by selection bias. Women who are more likely to return for screening may be either women with lower risk who are concerned about their health or women with higher risk who have a history of cervical abnormalities. We do not know whether the women in our study had other risk factors for cervical neoplasia or how such risk factors may have affected our results. Lower socioeconomic status is a risk factor for cervical neoplasia, and since participants in the CDC program are underinsured and of low income, our study is likely to reflect outcomes among women at higher-than-average risk who return for screening after multiple negative tests.

In part because of the current findings, the CDC program changed its screening policy, increasing the interval between screenings to three years after three consecutive negative tests and thereby focusing resources on screening in women who have rarely or never undergone screening. These women account for more than half of all cases of cervical cancer that occur in the United States each year.39 The policy is similar to recommendations by the American Cancer Society and the U.S. Preventive Services Task Force.1

Our findings provide reassurance to women and their health care providers that extending the intervals between screenings to three years after three or more consecutive negative Papanicolaou tests is a safe option. Women who undergo screening less often, however, should be made aware of other effective preventive interventions that may involve more frequent clinical visits. Since more than 80 percent of the women in the United States have undergone screening within the past three years40 and most of the tests have been negative,7 our results are applicable to many women. The low prevalence of dysplasia and cancer in this and other populations indicates the need for caution in adopting more sensitive but less specific tests (such as HPV DNA tests) for use in women with several previous negative tests,41,42 given the increased costs,5 the increased number of interventions,43 and the reduction in the quality of life associated with false positive results.44,45 The incremental assurance conferred by an additional negative screening test needs to be evaluated in the context of the observed low level of risk.

Supported in part by the University of California, San Francisco, Institute for Health Policy Studies; by a contract (282-98-0026) with the CDC; a grant (HS07373) from the Agency for Health Care Policy and Research; and a grant (K08 CA 74973-02) from the National Cancer Institute.

Source Information

From the Departments of Obstetrics, Gynecology, and Reproductive Sciences (G.F.S., K.J.M., G.G., A.E.W.), Epidemiology and Biostatistics (G.F.S., K.K., A.E.W.), and Medicine (K.K., G.G.), and the General Internal Medicine Section (K.K.), Department of Veterans Affairs and University of California, San Francisco, San Francisco; the Department of Emergency Medicine, Public Health and Preventive Medicine, Oregon Health and Science University, Portland (K.J.M.); the Department of Obstetrics and Gynecology, Duke University, Durham, N.C. (S.L.K., E.R.M.); the Division of Cancer Prevention and Control, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta (H.W.L., N.C.L.); and the Department of Family and Community Medicine, University of California, Davis, Sacramento (J.M.).

References

References

  1. 1

    Cervical cancer — screening. Rockville, Md.: Preventive Services Task Force, 2003. (Accessed September 19, 2003, at http://www.ahrq.gov/clinic/uspstf/uspscerv.htm.)

  2. 2

    Saslow D, Runowicz CD, Solomon D, et al. American Cancer Society guideline for the early detection of cervical neoplasia and cancer. CA Cancer J Clin 2002;52:342-362
    CrossRef | Web of Science | Medline

  3. 3

    Fink DJ. Change in American Cancer Society Checkup Guidelines for detection of cervical cancer. CA Cancer J Clin 1988;38:127-128
    CrossRef | Web of Science | Medline

  4. 4

    Wright TC Jr, Schiffman M. Adding a test for human papillomavirus DNA to cervical-cancer screening. N Engl J Med 2003;348:489-490
    Full Text | Web of Science | Medline

  5. 5

    Myers ER, McCrory DC, Subramanian S, et al. Setting the target for a better cervical screening test: characteristics of a cost-effective test for cervical neoplasia screening. Obstet Gynecol 2000;96:645-652
    CrossRef | Web of Science | Medline

  6. 6

    Henson RM, Wyatt SW, Lee NC. The National Breast and Cervical Cancer Early Detection Program: a comprehensive public health response to two major health issues for women. J Public Health Manag Pract 1996;2:36-47
    Medline

  7. 7

    Sawaya GF, Kerlikowske K, Lee NC, Gildengorin G, Washington AE. Frequency of cervical smear abnormalities within 3 years of normal cytology. Obstet Gynecol 2000;96:219-223
    CrossRef | Web of Science | Medline

  8. 8

    Lawson HW, Lee NC, Thames SF, Henson R, Miller DS. Cervical cancer screening among low-income women: results of a national screening program, 1991-1995. Obstet Gynecol 1998;92:745-752
    CrossRef | Web of Science | Medline

  9. 9

    Kurman RJ, Henson DE, Herbst AL, Noller KL, Schiffman MH. Interim guidelines for management of abnormal cervical cytology: the 1992 National Cancer Institute Workshop. JAMA 1994;271:1866-1869
    CrossRef | Web of Science | Medline

  10. 10

    Fleiss JL. Statistical methods for rates and proportions. 2nd ed. New York: John Wiley, 1981:64.

  11. 11

    Myers ER, McCrory DC, Nanda K, Bastian L, Matchar DB. Mathematical model for the natural history of human papillomavirus infection and cervical carcinogenesis. Am J Epidemiol 2000;151:1158-1171
    Web of Science | Medline

  12. 12

    Evaluation of cervical cytology. Evidence report/technology assessment. No. 5. Rockville, Md.: Agency for Health Care Policy and Research, February 1999. (AHCPR publication no. 99-E010.)

  13. 13

    Duggan MA, McGregor SE, Stuart GC, et al. The natural history of CIN I lesions. Eur J Gynaecol Oncol 1998;19:338-344
    Web of Science | Medline

  14. 14

    Holowaty P, Miller AB, Rohan T, To T. Natural history of dysplasia of the uterine cervix. J Natl Cancer Inst 1999;91:252-258
    CrossRef | Web of Science | Medline

  15. 15

    Melnikow J, Nuovo J, Willan AR, Chan BK, Howell LP. Natural history of cervical squamous intraepithelial lesions: a meta-analysis. Obstet Gynecol 1998;92:727-735
    CrossRef | Web of Science | Medline

  16. 16

    van Oortmarssen GJ, Habbema JD. Epidemiological evidence for age-dependent regression of pre-invasive cervical cancer. Br J Cancer 1991;64:559-565
    CrossRef | Web of Science | Medline

  17. 17

    Syrjanen K, Kataja V, Yliskoski M, Chang F, Syrjanen S, Saarikoski S. Natural history of cervical human papillomavirus lesions does not substantiate the biologic relevance of the Bethesda System. Obstet Gynecol 1992;79:675-682
    Web of Science | Medline

  18. 18

    Ho GYF, Bierman R, Beardsley L, Chang CJ, Burk RD. Natural history of cervicovaginal papillomavirus infection in young women. N Engl J Med 1998;338:423-428
    Full Text | Web of Science | Medline

  19. 19

    Munoz N, Kato I, Bosch FX, et al. Risk factors for HPV DNA detection in middle-aged women. Sex Transm Dis 1996;23:504-510
    CrossRef | Web of Science | Medline

  20. 20

    Fahs MC, Mandelblatt J, Schechter C, Muller C. Cost effectiveness of cervical cancer screening for the elderly. Ann Intern Med 1992;117:520-527
    Web of Science | Medline

  21. 21

    Eddy DM. Screening for cervical cancer. Ann Intern Med 1990;113:214-226
    Web of Science | Medline

  22. 22

    Schwartz PE, Hadjimichael O, Lowell DM, Merino MJ, Janerich D. Rapidly progressive cervical cancer: the Connecticut experience. Am J Obstet Gynecol 1996;175:1105-1109
    CrossRef | Web of Science | Medline

  23. 23

    Janerich DT, Hadjimichael O, Schwartz PE, et al. The screening histories of women with invasive cervical cancer, Connecticut. Am J Public Health 1995;85:791-794
    CrossRef | Web of Science | Medline

  24. 24

    Bearman DM, MacMillan JP, Creasman WT. Papanicolaou smear history of patients developing cervical cancer: an assessment of screening protocols. Obstet Gynecol 1987;69:151-155[Erratum, Obstet Gynecol 1987;69:660.]
    Web of Science | Medline

  25. 25

    Pretorius R, Semrad N, Watring W, Fotheringham N. Presentation of cervical cancer. Gynecol Oncol 1991;42:48-53
    CrossRef | Web of Science | Medline

  26. 26

    Ries LAG, Eisner MP, Kosary CL, et al., eds. SEER cancer statistics review, 1975-2000. Bethesda, Md.: National Cancer Institute, 2003. (Also available at http://seer.cancer.gov/csr/1975_2000.)

  27. 27

    Solomon D, Schiffman M, Tarone R. Comparison of three management strategies for patients with atypical squamous cells of undetermined significance: baseline results from a randomized trial. J Natl Cancer Inst 2001;93:293-299
    CrossRef | Web of Science | Medline

  28. 28

    Stoler MH, Schiffman M. Interobserver reproducibility of cervical cytologic and histologic interpretations: realistic estimates from the ASCUS-LSIL Triage Study. JAMA 2001;285:1500-1505
    CrossRef | Web of Science | Medline

  29. 29

    Schiffman M, Herrero R, Hildesheim A, et al. HPV DNA testing in cervical cancer screening: results from women in a high-risk province of Costa Rica. JAMA 2000;283:87-93
    CrossRef | Web of Science | Medline

  30. 30

    Cuzick J, Szarewski A, Terry G, et al. Human papillomavirus testing in primary cervical screening. Lancet 1995;345:1533-1536
    CrossRef | Web of Science | Medline

  31. 31

    Belinson J, Qiao YL, Pretorius R, et al. Shanxi Province Cervical Cancer Screening Study: a cross-sectional comparative trial of multiple techniques to detect cervical neoplasia. Gynecol Oncol 2001;83:439-444[Erratum, Gynecol Oncol 2002;84:355.]
    CrossRef | Web of Science | Medline

  32. 32

    Kulasingam SL, Hughes JP, Kiviat NB, et al. Evaluation of human papillomavirus testing in primary screening for cervical abnormalities: comparison of sensitivity, specificity, and frequency of referral. JAMA 2002;288:1749-1757
    CrossRef | Web of Science | Medline

  33. 33

    Stenkvist B, Soderstrom J. Reasons for cervical cancer despite extensive screening. J Med Screen 1996;3:204-207
    Medline

  34. 34

    Nanda K, McCrory DC, Myers ER, et al. Accuracy of the Papanicolaou test in screening for and follow-up of cervical cytologic abnormalities: a systematic review. Ann Intern Med 2000;132:810-819
    Web of Science | Medline

  35. 35

    Hutchinson ML, Zahniser DJ, Sherman ME, et al. Utility of liquid-based cytology for cervical carcinoma screening: results of a population-based study conducted in a region of Costa Rica with a high incidence of cervical carcinoma. Cancer 1999;87:48-55
    CrossRef | Web of Science | Medline

  36. 36

    Payne N, Chilcott J, McGoogan E. Liquid-based cytology in cervical screening. Sheffield, England: School of Health and Related Research, University of Sheffield, 2000.

  37. 37

    Devesa SS, Young JL Jr, Brinton LA, Fraumeni JF Jr. Recent trends in cervix uteri cancer. Cancer 1989;64:2184-2190
    CrossRef | Web of Science | Medline

  38. 38

    Chan PG, Sung HY, Sawaya GF. Changes in cervical cancer incidence after 3 decades of screening US women under age 30 years. Obstet Gynecol (in press).

  39. 39

    Cervical cancer. NIH consensus statement online. Bethesda, Md.: National Institutes of Health, April 1996. (Accessed September 19, 2003, at http://consensus.nih.gov/cons/102/102_statement.htm.)

  40. 40

    Swan J, Breen N, Coates RJ, Rimer BK, Lee NC. Progress in cancer screening practices in the United States: results from the 2000 National Health Interview Survey. Cancer 2003;97:1528-1540
    CrossRef | Web of Science | Medline

  41. 41

    Sawaya GF, Grimes DA. New technologies in cervical cytology screening: a word of caution. Obstet Gynecol 1999;94:307-310
    CrossRef | Web of Science | Medline

  42. 42

    Sawaya GF, Brown AD, Washington AE, Garber AM. Current approaches to cervical-cancer screening. N Engl J Med 2001;344:1603-1607
    Full Text | Web of Science | Medline

  43. 43

    Sawaya GF, Grady D, Kerlikowske K, et al. The positive predictive value of cervical smears in previously screened postmenopausal women: the Heart and Estrogen/progestin Replacement Study (HERS). Ann Intern Med 2000;133:942-950
    Web of Science | Medline

  44. 44

    Freeman-Wang T, Walker P, Linehan J, Coffey C, Glasser B, Sherr L. Anxiety levels in women attending colposcopy clinics for treatment for cervical intraepithelial neoplasia: a randomised trial of written and video information. BJOG 2001;108:482-484
    CrossRef | Web of Science | Medline

  45. 45

    Wright TC Jr, Cox JT, Massad LS, Twiggs LB, Wilkinson EJ. 2001 Consensus guidelines for the management of women with cervical cytological abnormalities. JAMA 2002;287:2120-2129
    CrossRef | Web of Science | Medline

Citing Articles (46)

Citing Articles

  1. 1

    Daryl L. Wieland, Laura L. Reimers, Eijean Wu, Lisa M. Nathan, Tammy Gruenberg, Maria Abadi, Mark H. Einstein. (2011) Performance of Implementing Guideline-Driven Cervical Cancer Screening Measures in an Inner-City Hospital System. Journal of Lower Genital Tract Disease 15:4, 296-302
    CrossRef

  2. 2

    Mbathio Dieng, Lyndal Trevena, Robin M. Turner, Monika Wadolowski, Kirsten McCaffery. (2011) What Australian women want and when they want it: cervical screening testing preferences, decision-making styles and information needs. Health Expectationsno-no
    CrossRef

  3. 3

    Thomas Everett, Andrew Bryant, Michelle F Griffin, Pierre PL Martin-Hirsch, Carol A Forbes, Ruth G Jepson, Thomas Everett. 2011. Interventions targeted at women to encourage the uptake of cervical screening. .
    CrossRef

  4. 4

    Kathleen Olbrys. (2010) Cervical Screening: Assessment and Referral. The Journal for Nurse Practitioners 6:2, 151-152
    CrossRef

  5. 5

    Sawaya, George F., . (2009) Cervical-Cancer Screening — New Guidelines and the Balance between Benefits and Harms. New England Journal of Medicine 361:26, 2503-2505
    Full Text

  6. 6

    Katrina F. Trivers, Vicki B. Benard, Christie R. Eheman, Janet E. Royalty, Donatus U. Ekwueme, Herschel W. Lawson. (2009) Repeat Pap Testing and Colposcopic Biopsies in the Underserved. Obstetrics & Gynecology 114:5, 1049-1056
    CrossRef

  7. 7

    L. Stewart Massad, Mark Einstein, Evan Myers, Cosette M. Wheeler, Nicolas Wentzensen, Diane Solomon. (2009) The impact of human papillomavirus vaccination on cervical cancer prevention efforts. Gynecologic Oncology 114:2, 360-364
    CrossRef

  8. 8

    Natasha K. Stout, Amy B. Knudsen, Chung Yin Kong, Pamela M. McMahon, G. Scott Gazelle. (2009) Calibration Methods Used in Cancer Simulation Models and Suggested Reporting Guidelines. PharmacoEconomics 27:7, 533-545
    CrossRef

  9. 9

    Amy R. Blair, Cheyanne M. Casas. (2009) Gynecologic Cancers. Primary Care: Clinics in Office Practice 36:1, 115-130
    CrossRef

  10. 10

    George F. Sawaya, A. Yuri Iwaoka-Scott, Sue Kim, Sabrina T. Wong, Alison J. Huang, A. Eugene Washington, Eliseo J. Pérez-Stable. (2009) Ending cervical cancer screening: attitudes and beliefs from ethnically diverse older women. American Journal of Obstetrics and Gynecology 200:1, 40.e1-40.e7
    CrossRef

  11. 11

    Denise M. Linton. (2009) Cervical Cancer Screening Interval. Clinical Journal of Oncology Nursing 13:2, 235-237
    CrossRef

  12. 12

    Alan G. Waxman. (2008) Cervical Cancer Screening in the Early Postvaccine Era. Obstetrics and Gynecology Clinics of North America 35:4, 537-548
    CrossRef

  13. 13

    Alan G. Waxman, Meggan M. Zsemlye. (2008) Preventing Cervical Cancer: The Pap Test and the HPV Vaccine. Medical Clinics of North America 92:5, 1059-1082
    CrossRef

  14. 14

    Amrita Krishnan, Alexandra M Levine. (2008) Malignancies in women with HIV infection. Women's Health 4:4, 357-368
    CrossRef

  15. 15

    Jason E. Frangos, Christina N. Alavian, Alexa B. Kimball. (2008) Acne and oral contraceptives: Update on women's health screening guidelines. Journal of the American Academy of Dermatology 58:5, 781-786
    CrossRef

  16. 16

    Evan Myers, Warner K. Huh, Jason D. Wright, Jennifer S. Smith. (2008) The current and future role of screening in the era of HPV vaccination. Gynecologic Oncology 109:2, S31-S39
    CrossRef

  17. 17

    Mark Schiffman, Philip E Castle, Jose Jeronimo, Ana C Rodriguez, Sholom Wacholder. (2007) Human papillomavirus and cervical cancer. The Lancet 370:9590, 890-907
    CrossRef

  18. 18

    Shagufta Yasmeen, Patrick S. Romano, Mary Pettinger, Susan R. Johnson, F Allan Hubbell, Dorothy S. Lane, Susan L. Hendrix. (2006) Incidence of Cervical Cytological Abnormalities With Aging in the Women’s Health Initiative. Obstetrics & Gynecology 108:2, 410-419
    CrossRef

  19. 19

    M. T. Heflin, K. I. Pollak, M. N. Kuchibhatla, L. G. Branch, E. Z. Oddone. (2006) The Impact of Health Status on Physicians' Intentions to Offer Cancer Screening to Older Women. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences 61:8, 844-850
    CrossRef

  20. 20

    D. T. Kopycka-Kedzierawski, R. J. Billings. (2006) Application of nonhomogenous Markov models for analyzing longitudinal caries risk. Community Dentistry and Oral Epidemiology 34:2, 123-129
    CrossRef

  21. 21

    Shahram Shahangian. (2006) Laboratory-Based Health Screening: Perception of Effectiveness, Biases, Utility, and Informed/Shared Decision Making. Laboratory Medicine 37:4, 210-216
    CrossRef

  22. 22

    Lee P. Shulman. (2006) New recommendations for the periodic well-woman visit: impact on counseling. Contraception 73:4, 319-324
    CrossRef

  23. 23

    Shalini L. Kulasingam, Evan R. Myers, Herschel W. Lawson, K John McConnell, Karla Kerlikowske, Joy Melnikow, A Eugene Washington, George F. Sawaya. (2006) Cost-effectiveness of Extending Cervical Cancer Screening Intervals Among Women With Prior Normal Pap Tests. Obstetrics & Gynecology 107:2, Part 1, 321-328
    CrossRef

  24. 24

    J. Melnikow, S. Birch. (2006) Human Papillomavirus Triage of Atypical Squamous Cells of Undetermined Significance: Cost-Effective, But At What Cost?. JNCI Journal of the National Cancer Institute 98:2, 82-83
    CrossRef

  25. 25

    Hyun Hoon Chung, Jae Weon Kim, Soon-Beom Kang. (2006) Cost is a Barrier to Widespread Use of Liquid-Based Cytology for Cervical Cancer Screening in Korea. Journal of Korean Medical Science 21:6, 1054
    CrossRef

  26. 26

    Charles A. Leath, J. Michael Straughn, Tyler O. Kirby, Adam Huggins, Edward E. Partridge, Groesbeck P. Parham. (2005) Predictors of outcomes for women with cervical carcinoma. Gynecologic Oncology 99:2, 432-436
    CrossRef

  27. 27

    M. Marzo-Castillejo, P. Cierco Peguero, I. del Cura González. (2005) Prevención del cáncer de cérvix. Atención Primaria 36:6, 328-333
    CrossRef

  28. 28

    John Milner, Elizabeth Jeffery. 2005. Diet and Cancer Prevention. .
    CrossRef

  29. 29

    Christine Kemp, Darryl Potyk. (2005) Cancer Screening. The Nurse Practitioner 30:8, 46-50
    CrossRef

  30. 30

    Jan F. Nygård, Mari Nygård, Gry B. Skare, Steinar Ø. Thoresen. (2005) Screening histories of women with CIN 2/3 compared with women diagnosed with invasive cervical cancer: a retrospective analysis of the Norwegian Coordinated Cervical Cancer Screening Program. Cancer Causes & Control 16:4, 463-474
    CrossRef

  31. 31

    Alan G Waxman. (2005) Guidelines for Cervical Cancer Screening: History and Scientific Rationale. Clinical Obstetrics and Gynecology 48:1, 77-97
    CrossRef

  32. 32

    George F. Sawaya. (2005) Papanicolaou testing: When does more become less?. The American Journal of Medicine 118:2, 159-160
    CrossRef

  33. 33

    Brenda E. Sirovich, Steven Woloshin, Lisa M. Schwartz. (2005) Screening for cervical cancer: Will women accept less?. The American Journal of Medicine 118:2, 151-158
    CrossRef

  34. 34

    Mona Saint, Ginny Gildengorin, George F. Sawaya. (2005) Current cervical neoplasia screening practices of obstetrician/gynecologists in the US. American Journal of Obstetrics and Gynecology 192:2, 414-421
    CrossRef

  35. 35

    J. Kevin Baird, Stephen L. Hoffman. (2004) Primaquine Therapy for Malaria. Clinical Infectious Diseases 39:9, 1336-1345
    CrossRef

  36. 36

    J. Michael Straughn, T. Michael Numnum, Rodney P. Rocconi, Charles A. Leath, Edward E. Partridge. (2004) A Cost-Effectiveness Analysis of Screening Strategies for Cervical Intraepithelial Neoplasia. Journal of Lower Genital Tract Disease 8:4, 280-284
    CrossRef

  37. 37

    W. A. A. Tjalma, M. Arbyn, J. Paavonen, T. R. Van Waes, J. J. Bogers. (2004) Prophylactic human papillomavirus vaccines: the beginning of the end of cervical cancer. International Journal of Gynecological Cancer 14:5, 751-761
    CrossRef

  38. 38

    Heidi I. Becker, Meghan R. Longacre, Diane M. Harper. (2004) Beyond the Pap: Assessing Patients' Priorities for the Annual Examination. Journal of Women's Health 13:7, 791-799
    CrossRef

  39. 39

    J Peto, C Gilham, J Deacon, C Taylor, C Evans, W Binns, M Haywood, N Elanko, D Coleman, R Yule, M Desai. (2004) Cervical HPV infection and neoplasia in a large population-based prospective study: the Manchester cohort. British Journal of Cancer
    CrossRef

  40. 40

    B. Cochand-Priollet, S. Vincent, P. Vielh. (2004) Cytopathology in France. Cytopathology 15:3, 163-166
    CrossRef

  41. 41

    James W Henderson. (2004) Cost-effectiveness of cervical cancer screening strategies. Expert Review of Pharmacoeconomics & Outcomes Research 4:3, 287-296
    CrossRef

  42. 42

    Andrew A. Renshaw. (2004) Increased cervical cancer screening intervals: A risky investment?. Diagnostic Cytopathology 30:3, 137-138
    CrossRef

  43. 43

    R. Marshall Austin. (2004) New cervical cancer screening guidelines: The other side of group health care ?rights?. Diagnostic Cytopathology 30:3, 208-210
    CrossRef

  44. 44

    (2004) Extending the Interval between Cervical-Cancer Screenings. New England Journal of Medicine 350:4, 414-415
    Full Text

  45. 45

    (2003) Hot Papers in the Literature. Journal of Women's Health 12:10, 1047-1051
    CrossRef

  46. 46

    Feldman, Sarah, . (2003) How Often Should We Screen for Cervical Cancer?. New England Journal of Medicine 349:16, 1495-1496
    Full Text

Letters