Search tips
Search criteria 


Logo of brjcancerBJC HomepageBJC Advance online publicationBJC Current IssueSubmitting an article to BJCWeb feeds
Br J Cancer. 2004 July 5; 91(1): 84–91.
Published online 2004 May 25. doi:  10.1038/sj.bjc.6601884
PMCID: PMC2364742

An evaluation of liquid-based cytology and human papillomavirus testing within the UK cervical cancer screening programme

Liquid-based technology has been developed for the purpose of improving the preparation of cervical smear samples, and a range of different methods are available which include AutoCytePrep, Easy Prep, Cytoscreen and Thinprep. Each involves the preparation of potentially better and more representative smear samples for cytological examination than with conventional means, with a consequent reduction in the number of inadequate specimens and an increase in sensitivity. In practice, however, the actual impact on the performance of cytology is still a matter of some debate since different studies have reported very different findings. Currently, in the UK, around 10% of all smear samples are classified as inadequate, and the recent Pilot Site evaluation of liquid-based cytology (LBC) in the UK found that the new technology reduced this figure to 2% (Moss et al, 2002). However, there are other studies that have reported very little impact (Dupree et al, 1998; Diaz-Rosario and Kabawat, 1999). Similarly, with smear test sensitivity, some studies have demonstrated improvements (Nanda et al, 2000), while others have found little (Moss et al, 2002; Coste et al, 2003).

As human papillomavirus (HPV) testing technology has developed, the inclusion of HPV testing within cervical screening programmes has been suggested, either as a triage for women presenting with borderline and mildly abnormal smears (Cox et al, 1995) or as a primary screen (Cuzick et al, 1999b; Cuzick et al, 2003). It has also been suggested that, with HPV testing, routine screening intervals could be lengthened without compromising effectiveness. Under conventional cytology, a separate smear sample needs to be taken for the HPV test, whereas with liquid-based preparations, the same smear sample could be used for both cytology and the HPV test (Ferenczy and Franco, 1997). This may make the introduction of HPV testing more viable, with important implications for cost and convenience. It may also mean that screening options that combine smear and HPV testing in primary screening become worthwhile (Meijer et al, 1997).

The purpose of this study is to evaluate different options for introducing LBC within the UK, in terms of the impact on resource use, cost, effectiveness and overall cost–effectiveness. The merits of liquid-based approaches are also compared with other changes that could be made to the screening programme keeping conventional techniques, including the introduction of HPV testing. This is the only study that compares such a range of options simultaneously. The study does not investigate one specific liquid-based method but a range of approaches defined by different characteristics of cost and impact. We have used a mathematical modelling approach based upon methods developed by the authors in previous studies (Jenkins et al, 1996; Sherlaw-Johnson et al, 1999). Mathematical modelling has value in this context since it provides a method for assessing a wide range of screening options relatively quickly.


Mathematical model

The main elements of the model are the clinical course of cervical disease and resulting mortality, age-related mortality from other causes, the accuracy of screening tests and the screening policy. The model is stochastic in that we use methods from probability theory to represent the considerable variability in possible outcomes.

The clinical course of the disease and the development of invasive cancer are represented by a sequence of transitions through cervical precancer and stages of preclinical and clinically invasive cancer (Figure 1). Precancers are assumed to be preceded by high-risk HPV infection (most commonly, types 16, 18, 31 and 33), and are divided into three separate states corresponding to the three grades of cervical intraepithelial neoplasia (CIN 1–3). The cancer states correspond to the International Federation of Gynecology and Obstetrics (FIGO) classification stages I–IV. Although not indicated in Figure 1, account is also taken of deaths from other causes, which, after correcting for age and sex, are assumed to be independent of the stage of cervical disease. This disease progression model is stochastic in that the transitions between states are assumed to be a chance process with a specified probability assigned to each transition. Starting with a woman aged 15 years who is free from disease, the model predicts the probability of being in each disease category at all subsequent ages. If the woman is screened then the chances of detecting any precancerous lesion, or preclinical cancer will depend on the accuracy of the screening test. Successful detection and treatment of precancerous lesions are modelled by assuming that women revert to being disease free, with a prespecified proportion of HPV infections regressing simultaneously. Screening occurs at different ages depending upon the programme and the policy for the follow-up of abnormal results. Under the baseline assumptions, successive HPV tests on the same women are assumed to be independent, but the possibility that HPV remains undetectable in certain women over a series of tests is also assessed.

Figure 1
Model representation of disease natural history.

Parameter values for the model have been derived from existing data sources. However, there is much uncertainty relating to these values with several sources reporting very different results. Owing to this uncertainty, we have undertaken extensive sensitivity analysis to investigate how it affects outcomes.

Natural history assumptions

Structurally, the disease progression model is a continuous time Markov Process governed by instantaneous hazard rates between each state (Ross, 1993). The implications of the chosen rate parameters in terms of more easily interpreted annual progression rates are shown in Table 1, together with references to the studies from which they have been derived. (Detailed assumptions are available from the authors by request.) For many disease progression parameters, direct estimates are not available from the literature. Values have thus been inferred from observed data such as the prevalence of HPV infection, the overall incidence of invasive cancer and the prevalence of precancers detected among a screened population. This method has not generated a unique set of parameters, but rather a number of plausible sets that have all been used by the model to explore the consequences of different disease progression scenarios. These scenarios are defined by different rates of prevalence and persistence of HPV infection, and the incidence of cervical cancer if the current population were not screened. The range of values encompassed by these scenarios is also shown in Table 1. The baseline scenario was validated against the age-related incidence of invasive cancer in the UK (Office for National Statistics, 2003).

Table 1
Assumptions concerning the natural history of HPV and cervical precancers (alternative assumptions in parentheses)


Other parameters used in the model that relate to diagnostic accuracy and the impact of LBC are shown in Table 2. There is also much uncertainty relating to these values: several studies and different techniques report very different results. Owing to this uncertainty, we have investigated the consequences of using a range of values for the same parameter (also shown in Table 2).

Table 2
Assumptions concerning the performance of screening tests (alternative assumptions in parentheses)


Costing was undertaken from the perspective of the health care provider. All costs are represented as 2001 values and are summarised in Table 3. The cost of conventional smear taking is derived from primary resource utilisation data. In total, 66 GP practices in the UK completed a questionnaire regarding the time spent on smear taking, administration and the personnel involved. On average, 85% of smears were taken by a practice nurse, 14% by the GP and 1% by hospital or family planning personnel. The average time spent on a smear (including preparation) was between 14 and 18 min. Staff time was valued using standard sources (Netten et al, 2001; CIPFA, 2002). As a base case assumption, the time involved in smear taking using LBC was assumed to be 4 min less than with conventional methods. This assumption was varied in sensitivity analysis. The smear taker was assumed to follow the same distribution as for conventional methods. Primary care administration was found to take on average 3.7 h per week and each practice in the survey performed approximately 12.5 smear tests per week. We had no grounds to assume that administration costs would differ between conventional and LBC methods. NHS administration, including GP target payments, are excluded from these estimates. Laboratory costs for conventional cytology are based on an audit of the City Hospital cytology laboratory in Nottingham, and include staff costs, equipment (including maintenance), transport and consumables. Under LBC, staffing within the laboratory was assumed to be equal to those of conventional cytology. Equipment, consumables and maintenance costs for LBC methods are taken from reported data (Payne et al, 2000). Human papillomavirus test costs include staff time, equipment (inc. maintenance) and consumables. Human papillomavirus test transportation costs are not included in this estimate. Cervical intraepithelial neoplasia and invasive cancer treatment costs are taken from detailed cost of illness studies (Wolstenholme, 2002; Wolstenholme and Whynes, 1998). Further details of resource use and costing methods are available on request.

Table 3
Unit cost assumptions for screening strategies and follow-up


The screening options evaluated in this study include:

  1. screening all women from age 21 to 64 years. Mildly abnormal and borderline results during routine screening are followed up according to UK recommendations for repeat cytology;
  2. routine screening as in (i) with HPV testing as a triage for mild and borderline smear results during routine screening. If the HPV test is positive for high-risk types, women are referred for colposcopy, otherwise they have repeat cytology as in (i);
  3. option (i) until the age of 30 years after which routine smear testing is replaced by primary HPV testing with cytology as a triage for women found to be positive for high-risk HPV types. If the cytological result is abnormal, women are referred for colposcopy, otherwise they have a follow-up HPV test in 6 months. If this repeat HPV test is negative, women revert to routine screening;
  4. option (i) until the age of 30 years, after which primary smear testing is combined with HPV testing. Women with moderate or severe smear abnormalities are referred for colposcopy. Women with mild or borderline smear results, or a negative smear and a positive HPV test undergo repeat combined testing at 6-month intervals. Women revert to routine screening after a combination of a clear smear test and negative HPV result.

Option (i) approximates to current recommended screening policy in the UK. The other options are based upon suggested strategies for including HPV testing as a triage (Beral and Day, 1992; Cox et al, 1995), as a primary screen with cytology as a triage (Cuzick et al, 2003), or combined with cytology as a primary screen (Meijer et al, 1997; Cuzick et al, 1999b).

Each screening option was evaluated with 3- and 5-year routine intervals and both with and without LBC. We have assumed that 85% of eligible women throughout the population are screened, which is similar to current coverage rates in the UK (Department of Health, 2001), and that this is the same for all ages at which women are screened.


Outcomes are presented as average and incremental costs and life years gained over the lifetime of women aged 15 years, and who are exposed to each screening option throughout (although not necessarily attending). In line with current UK recommendations, future costs and life years were discounted at 3.5% per annum, along with the consequences of no discounting and of discounting costs and life years at 6% per annum (National Institute for Clinical Excellence, 2003).

Incremental cost–effectiveness ratios are defined as the ratio of the difference between cost and outcome of moving from one option to the next in order of increasing cost. In calculating incremental cost–effectiveness ratios, all dominated and extendedly dominated options are excluded. An option is ‘dominated’ if there is another option which is both cheaper and more effective. An option is ‘extended dominated’ if it is not dominated by a single other option, but there is a combination of two options that is both cheaper and more effective (Drummond et al, 1997). Options that are neither dominated nor extended dominated define the ‘efficiency frontier’.


Costs and effectiveness

With the baseline assumptions, average lifetime costs and life expectancy from age 15 years are shown in Table 4, together with the corresponding incremental cost–effectiveness ratios. All options that do not involve LBC are dominated. Incremental costs and life years saved for each option are also illustrated in Figure 2, together with the efficiency frontier. Apart from the two combined options, the 5- and 3-yearly screening options form two distinct groups, with the 5-year combined option having similar results to the other 3-year strategies. All the options that include LBC are either on, or very close to the efficiency frontier, except, perhaps for the 3-year repeat cytology strategy. Figure 2 also indicates that the main impact of LBC is a cost reduction as opposed to improved effectiveness.

Table 4
Outcomes under baseline assumptions. Incremental cost–effectiveness ratios represent the cost for every year of life gained by adopting the more expensive option in favour of the next cheapest, nondominated option
Figure 2
Incremental costs and life years gained of different options in comparison to no screening. Costs and life years are discounted at 3.5% per annum.

Other outcomes are shown in Table 4, including the percentage of deaths due to cervical cancer that are averted by screening and the lifetime rate of detection of high-grade CIN. The final column shows the lifetime risk of an inappropriate referral for colposcopy, with a referral being ‘inappropriate’ if there are no precancerous or cancerous lesions present. The risk of inappropriate referral is highest under the primary HPV and combined options where it can be over 50%, while under primary smear testing, the risk is no higher than 16%.

Sensitivity analysis

The results of one-way sensitivity on the impact of LBC and discounting are shown in Table 5. The options are again listed in order of increasing cost, except where indicated. Even if LBC has no impact on the number of inadequate smears, all the conventional options are still dominated. Although not indicated by this table, the options that involve primary smear testing and LBC with HPV triage consistently lie on, or close to the efficiency frontier. If we assume a high marginal cost of LBC over conventional smears, options that involve conventional methods are predicted to be cheaper for primary smear testing, but not for primary HPV testing.

Table 5
Incremental costs per life year gained under different assumptions relating to the performance and cost of LBC

Figure 3 shows the results of multiway sensitivity analysis on the impact of four options for using LBC in comparison to 3-year screening with repeat cytological follow-up and no LBC. Since this latter strategy is an approximation to current recommended practice in the UK, the graph shows the likely impact of changing policy. This multiway analysis includes all possible combinations of alternative assumptions as specified in Tables 1, ,22 and and33 and so represents the full range of uncertainty under the baseline discount rates. The two primary smear testing options are consistently predicted to either match or increase effectiveness. The less-precise forecasts for the combined, and, in particular, the primary HPV testing options are consequences of the uncertainty regarding the accuracy and prevalence of the HPV test. Decreased effectiveness will occur with combinations of a test that is less accurate than the baseline assumption, an assumption that some HPV remains consistently difficult to detect and an assumed higher prevalence of infection in older women.

Figure 3
Incremental costs and life years gained of different options in comparison to the baseline option of 3-year screening with repeat cytology following mild or borderline smear results and no LBC. Costs and life years are discounted at 3.5% per annum. ...


The purpose of this study has been to evaluate and compare options for introducing LBC and/or HPV testing into cervical cancer screening programmes. All the screening options have been chosen to reflect those that have been previously proposed or evaluated. However, this is the only study that has evaluated all screening options in combination.

Under baseline assumptions, the cost–effectiveness of different options for introducing LBC appears favourable, and these results are consistent under a range of assumptions for its impact on the diagnostic effectiveness of cytology. However, the marginal cost of LBC does affect outcomes. If we assume a higher marginal cost of LBC in comparison to conventional methods, primary smear testing options are predicted to be more cost-effective without LBC. The cost–effectiveness of primary HPV testing with LBC appears less sensitive to changes in the LBC marginal cost, but this is because in our one-way sensitivity analysis, variability in cost is only associated with the cytology laboratory costs and not HPV costs. Combined primary smear and HPV testing with a 5-year interval is similar in both cost and effectiveness to the other 3-yearly options. However, both the primary HPV testing and combined options would give rise to a far greater risk of inappropriate colposcopy throughout a woman's lifetime.

Adding LBC to the current programme is predicted to match or improve effectiveness under the full range of assumptions used for sensitivity analysis, and, likewise, if it was further modified by adding HPV testing as a triage for mild or borderline smear abnormalities. Changing to the combined smear and HPV testing option and raising the screening interval to 5 years, could improve effectiveness, similarly if the programme is changed to primary HPV testing. However, under these options, the predicted impact is less robust to the assumptions we have made: their effectiveness being very sensitive to the relative diagnostic accuracy of the HPV test in relation to cytology, HPV prevalence and whether there is any consistent difficulty in detecting HPV infections in some women.

Since a modelling approach has been used, there has been scope for analysing a wide range of options. Several different scenarios have been analysed to allow for the uncertainty regarding the model parameters. This uncertainty not only reflects the range of estimates reported in the scientific literature, but also the imprecise knowledge regarding the natural history and age-related prevalence of HPV infections and cervical precancers both now and in the future. Evaluating different scenarios has enabled us to investigate how robust predicted outcomes are to changes in model assumptions, to identify areas of uncertainty that have a large influence on outcome, and identify circumstances under which particular options are less favourable.

The costs used in the model are based on best estimates currently available, although no account has been taken of the training and transfer costs associated with moving from the current screening programme to one including LBC and/or HPV testing and neither have transportation costs for HPV samples been included. It is recognised that the prospective resource utilisation data come from a relatively small number of practices in the UK and the cost data for LBC are based largely on assumption.

Previous studies have analysed the impact of LBC on cervical screening programmes (McCrory et al, 1999; Payne et al, 2000; Kim et al, 2002; Moss et al, 2002). All are based wholly, or partly on mathematical modelling, but none have investigated the whole range of options in this study together. All studies conclude that introducing LBC within a primary smear testing programme could be cost-effective with (Kim et al 2002), or without (McCrory et al, 1999; Payne et al, 2000; Moss et al, 2002) HPV testing as a triage. They all predict improvements in effectiveness, but the impact on cost depends on the assumed marginal cost for the new technology. Of these, the lowest marginal cost was calculated by the UK Cervical Screening Pilot Site study, which is the only one to predict overall cost savings. This study also found that LBC reduces the number of inadequate smears by about 80% yet has little impact on test sensitivity. Three studies have investigated combined smear and HPV testing and HPV testing alone as primary screening methods, but without LBC (Van Ballegooijen et al, 1997; Cuzick et al, 1999b; Mandelblatt et al, 2002). The latter of these only compared 2- and 3-year screening intervals, yet found a combined test to be feasible if extended to an older age group. The two former studies, as with this study, found combined screening options at 3- and 5-year intervals to be more costly yet more effective than 3-year smear testing, much of the extra cost being due to screening and surveillance. Also, similar to our own findings, the relative impact of primary HPV testing was less robust to different versions of their model and so difficult to determine.

The mathematical model is a tool for making the best use of the available information, yet the results cannot be treated as definitive. There are further factors that have not been investigated which could influence the outcomes. Women are assumed to be either always compliant or not, and no account has been taken of how compliance, and hence effectiveness, could be improved by reducing the number of tests a woman is required to attend, for example, by extending the screening interval, combining smear and HPV tests and reducing the number of inadequate smears. The performance of screening tests has also assumed to be the same for all ages, although there is evidence that cytological accuracy declines among older women (Mandelblatt et al, 1991). There is much controversy over appropriate discount rates, and incremental cost–effectiveness ratios can only be interpreted against the rates that are chosen. However, alternative views of discounting have little impact on how different options stand in relation to each other.

The aim of this study was to evaluate screening in the context of the UK, and care would need to be taken before translating its results to other settings. International comparisons of cost–effectiveness are hampered by differences in health systems, resource and cost structures, chosen comparators and recommended methods for evaluating technologies. Guidelines on appropriate discount rates differ between countries; in the United States for example, the current recommendations are 3% for both costs and life years (Weinstein et al, 1996). Perhaps more importantly, at 9–10%, the proportion of smears classified as inadequate is particularly high in the UK in comparison to other developed countries, and, as a result, any reduction in this proportion due to the introduction of liquid-based technology may be of greater benefit than elsewhere.

Since cost and life years saved are not the only outcomes of importance, other measures could come to the fore in the decision making process. In terms of the psychological impact on women, high false positive rates for referral to colposcopy may count against the acceptability of primary HPV testing and combined primary smear and HPV testing. This may also be an unnecessary use of expensive resources. The HART study, however, suggested that this problem could be overcome in primary HPV testing by annual monitoring of women who are HPV positive with borderline or negative cytology (Cuzick et al, 2003). Also, for women being screened, lower numbers of inadequate smears would be desirable, and evidence suggests such reductions occur with LBC without compromising sensitivity (Moss et al, 2002).


  • Beral V, Day NE. Screening for cervical cancer: Is there a place for incorporating tests for the human papillomavirus 1992. Lyon: International Agency for Research on Cancer; 263–269.269In The Epidemiology of Cervical Cancer and Human Papillomavirus, Muñoz N, Bosch FX, Shah KV, Meheus A. (eds). [PubMed]
  • CIPFA Chartered Institute for Public Finance and Accountancy, The Health Service Database 2001. 2002.
  • Coste J, Cochand-Priollet B, de Cremoux P, Le Galès C, Cartier I, Molinié V, Labbé S, Vacher-Lavenu M-C, Vielh P, for the French Society of Clinical Cytology Study Group Cross sectional study of conventional cervical smear, monolayer cytology, and human papillomavirus DNA testing for cervical cancer screening. BMJ. 2003;326:733–737. [PMC free article] [PubMed]
  • Cox JT, Lorincz AT, Schiffman MH, Sherman ME, Cullen A, Kurman RJ. Human papillomavirus testing by hybrid capture appears to be useful in triaging women with a cytological diagnosis of atypical squamous cells of undetermined significance. Am J Obstet Gynecol. 1995;172:946–954. [PubMed]
  • Cuzick J, Beverley E, Ho L, Terry G, Sapper H, Mielzynska I, Lorincz A, Chan W-K, Krausz T, Soutter P. HPV testing in primary screening of older women. Br J Cancer. 1999a;81:554–558. [PMC free article] [PubMed]
  • Cuzick J, Sasieni P, Davies P, Adams J, Normand C, Frater A, van Ballegooijen M, van den Akker E. A systematic review of the role of human papillomavirus testing within a cervical screening programme. Health Technol Assess. 1999b;3:1–204. [PubMed]
  • Cuzick J, Szarewski A, Cubie H, Hulman G, Kitchener H, Luesley D, McGoogan E, Menon U, Terry G, Edwards R, Brooks C, Desai M, Gie C, Ho L, Jacobs I, Pickles C, Sasieni P. Management of women who test positive for high-risk types of human papillomavirus: the HART study. Lancet. 2003;362:1871–1876. [PubMed]
  • Cuzick J, Szarewski A, Terry G, Ho L, Hanby A, Maddox P, Anderson M, Kocjan K, Steele ST, Guillebaud J. Human papillomavirus testing in primary cervical screening. Lancet. 1995;345:1533–1536. [PubMed]
  • Department of Health Cervical screening programme, England 2000–01 2001. London: Department of Health; Available atAccessed October 2002
  • Diaz-Rosario LA, Kabawat SE. Performance of a fluid-based, thin-layer Papanicolaou smear method in the clinical setting of an independent laboratory and an outpatient screening population in New England. Arch Pathol Lab Med. 1999;123:817–821. [PubMed]
  • Drummond MF, O'Brien B, Stoddart GL, Torrance GW. Methods for the Economic Evaluation of Health Care Programmes 1997. Oxford: Oxford University Press; 2nd edn
  • Dupree WB, Suprun HZ, Beckwith DG, Shane JJ, Lucente V. The promise of a new technology. The Leigh Valley Hospital's experience with liquid-based cytology. Cancer. 1998;84:202–207. [PubMed]
  • Ferenczy A, Franco EL. Human papillomavirus DNA testing using liquid-based cytology New Developments in Cervical Cancer Screening and Prevention 1997. Oxford: Blackwell Science; 348–353.353Franco EL, Monsonego J. (eds) pp
  • Government Actuary's Department . London: Government Actuary's Department; 1996. Interim Life Tables, Great Britain, 1993–1995.
  • Hildesheim A, Schiffman MH, Gravitt PE, Glass AG, Greer CE, Zhang T, Scott DR, Rush BB, Lawler P, Sherman ME, Kurman RJ, Manos MM. Persistence of type-specific human papillomavirus infection among cytologically normal women. J Infect Dis. 1994;169:235–240. [PubMed]
  • 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. [PubMed]
  • Jenkins D, Sherlaw-Johnson C, Gallivan S. Can papillomavirus testing be used to improve cervical cancer screening. Int J Cancer. 1996;65:768–773. [PubMed]
  • Jenkins D, Sherlaw-Johnson C, Gallivan S. Assessing the role of HPV testing in cervical cancer screening. Papillomavirus Rep. 1998;9:89–101.
  • Kim JJ, Wright TC, Goldie SJ. Cost-effectiveness of alternative triage strategies for atypical squamous cells of undetermined significance. JAMA. 2002;287:2382–2390. [PubMed]
  • Kosary CL. FIGO stage, histology, histologic grade, age and race as prognostic factors in determining survival for cancers of the female gynecological system: an analysis of 1973–1987 SEER cases of cancers of the endometrium, cervix, ovary, vulva and vagina. Sem Surg Oncol. 1994;10:31–46. [PubMed]
  • Koutsky LA, Holmes KK, Critchlow CW, Stevens CE, Paavonen J, Beckmann AM, DeRouen TA, Galloway DA, Vernon D, Kiviat NB. A cohort study of the risk of cervical intraepithelial neoplasia grade 2 or 3 in relation to papillomavirus infection. N Engl J Med. 1992;327:1272–1278. [PubMed]
  • Mandelblatt J, Schechter C, Fahs M, Muller C. Clinical implications of screening for cervical cancer under Medicare. The natural history of cervical cancer in the elderly: What do we know? What do we need to know. Am J Obstet Gynecol. 1991;164:644–651. [PubMed]
  • Mandelblatt JS, Lawrence WF, Womack SM, Jacobson D, Yi B, Yi-ting H, Gold K, Barter J, Shah K. Benefits and costs of using HPV testing to screen for cervical cancer. JAMA. 2002;287:2372–2381. [PubMed]
  • McCrory DC, Matchar DB, Bastian L, Datta S, Hasselblad V, Hickey J, Myers E, Nanda K. 1999. Evaluation of cervical cytology: Evidence Report/Technology Assessment no. 5. Agency for Health Care Policy and Research, Rockville, MD, USA. AHCPR publication 99-E010
  • Meanwell CA, Kelly KA, Wilson S, Roginski C, Woodman C, Griffiths R, Blackledge G. Young age as a prognostic factor in cervical cancer: analysis of population based data from 10022 cases. BMJ. 1988;296:386–391. [PMC free article] [PubMed]
  • Meijer CJLM, Rozendaal L, van der Linden JC, Helmerhorst TJM, Voorhorst FJ, Walboomers JMM. Human papillomavirus testing for primary cervical cancer screening New Developments in Cervical Cancer Screening and Prevention 1997. Oxford: Blackwell Science; 338–347.347Franco EL, Monsonego J. (eds) pp
  • Melkert PWJ, Hopman E, Van Den Brule AJC, Risse EKJ, Van Diest PJ, Bleker OP, Helmerhorst T, Schipper MEI, Meijer CJLM, Walboomers JMM. Prevalence of HPV in cytomorphologically normal cervical smears, as determined by the polymerase chain reaction, is age dependent. Int J Cancer. 1993;53:919–923. [PubMed]
  • Moscicki AB, Palefsky J, Smith G, Siboshski S, Schoolnik G. Variability of Human Papillomavirus DNA testing in a longitudinal cohort of young women. Obstet Gynecol. 1993;82:578–585. [PubMed]
  • Moss SM, Gray A, Legood R, Henstock E. Evaluation of HPV/LBC Cervical screening pilot studies. First report to the Department of Health on evaluation of LBC 2002. Available atAccessed April 2003
  • Nanda K, McCrory DC, Myers ER, Bastian LA, Hasselblad V, Hickey JD, Matchar DB. Accuracy of the Papanicolaou test in screening for and follow-up of cervical cytological abnormalities: a systematic review. Ann Intern Med. 2000;132:810–819. [PubMed]
  • National Institute for Clinical Excellence Guide to the Methods for Technology Appraisal. p. 51 2003. Available at:
  • Netten A, Rees T, Harrison G. Personal Social Services Research Unit, University of Kent at Canterbury; 2001. Unit costs of health and social care 2001.
  • Office for National Statistics . Review of the Registrar General on Deaths by Cause, Sex and Age, in England and Wales, 1998. London: The Stationery Office; 1999. Mortality Statistics Cause.
  • Office for National Statistics Cancer: Number of New Cases, 2000, by Sex and Age. Cancer: Incidence Rates per 100 000 Population, 2000, by Sex and Age 2003. Available at:
  • Payne N, Chilcott J, McGoogan E. Liquid-based cytology in cervical screening: a rapid and systematic review. Health Technol Assess. 2000;4:1–73. [PubMed]
  • Ross SM. Introduction to probability models 1993. San Diego: Academic Press; 255–301.3015th Edition. pp
  • Schiffman M, Herrero R, Hildesheim A, Sherman ME, Bratti M, Wacholder S, Alfaro M, Hutchinson M, Morales J, Greenberg MD, Lorincz AT. HPV DNA testing in cervical cancer screening. Results from women in a high-risk province of Costa Rica. JAMA. 2000;283:87–93. [PubMed]
  • Sherlaw-Johnson C, Gallivan S, Jenkins D. Withdrawing low risk women from cervical screening programmes: mathematical modelling study. BMJ. 1999;318:356–360. [PMC free article] [PubMed]
  • Van Ballegooijen M, Van Den Akker-Van Marle ME, Warmerdam PG, Meijer CJLM, Walboomers JMM, Habbema JDF. Present evidence on the value of HPV testing for cervical cancer screening: a model-based exploration of the (cost-)effectiveness. Br J Cancer. 1997;76:651–657. [PMC free article] [PubMed]
  • Weinstein MC, Siegel JE, Gold MR, Kamlet MS, Russell LB. Recommendations of the panel on cost-effectiveness in health and medicine. JAMA. 1996;276:1253–1258. [PubMed]
  • Wolstenholme J. University of Nottingham; 2002. Counting the costs of cancer care: breast cervical and lung cancer in Trent. PhD Thesis.
  • Wolstenholme J, Whynes D. Stage-specific treatment costs for cervical cancer in the United Kingdom. Eur J Cancer. 1998;34:1889–1893. [PubMed]

Articles from British Journal of Cancer are provided here courtesy of Cancer Research UK