Cervical cancer is a treatable disease and tertiary interventions have contributed to reductions in mortality rates [1]. However, when downstream activities are combined with preventive efforts, there is greater impact in terms of lives saved. There is widespread acceptance that regular screening is the single most important public health strategy to reduce cervical cancer incidence and subsequent mortality. Screening tests such as conventional cytology (commonly referred to as the Pap smear) are used to identify pre-cancers, which can be treated to prevent the occurrence of invasive cancer or allow the disease to be identified at an earlier stage, permitting more effective treatment. The systematic review on which this paper is based provided evidence for the Canadian Task Force on Preventive Health Care to update their guideline regarding screening of average-risk women for cervical cancer [2, 3].

Much of the recent research has focused on reductions in precursor cervical lesions, which are more common and present earlier outcomes for measurement during trials. However, evidence from a treated versus not-treated cohort study with 30-year follow-up suggests a third of cases with precursor lesions will advance to invasive cancer [4]. Consequently, cervical cancer mortality and incidence of invasive cervical cancer were designated as the critical outcomes for this review. To our knowledge, no published systematic review has addressed the question of screening effectiveness with these outcomes, and until recently there were no randomized controlled trials (RCTs) to inform decision-making. Instead, ecological studies have been used to demonstrate that mortality from cervical cancer decreased as screening became more widespread [5, 6]. However, higher level evidence is available. In this article we highlight three questions covered in the full systematic review:

  1. 1.

    What is the effect of cervical cancer screening on incidence of and mortality from invasive cervical cancer?

  2. 2.

    How does varying the screening interval affect incidence of and mortality from invasive cervical cancer?

  3. 3.

    How does varying the age at which screening is started or stopped reduce incidence of and mortality from invasive cervical cancer?

The PICOS (population, intervention, comparator, outcome, study design) framework for these questions was as follows: (P) asymptomatic women aged 15 to 70 years with a history of sexual activity, (I) conventional cervical cytology, liquid-based cervical cytology or human papillomavirus (HPV) DNA screening tests, (C) no screening, (O) cervical cancer mortality and incidence of invasive cervical cancer, and (S) RCTs and observational studies with comparison groups.


Search strategy and eligibility criteria

For the questions addressed in this paper, MEDLINE, Embase and Cochrane Central Register of Controlled Trials were searched from 1995 to April 2012 for studies conducted in any country and published in English or French. As above, results were limited to systematic reviews, RCTs and observational studies with comparison groups, involving asymptomatic women aged 15 to 70 years with a history of sexual activity, who were screened using conventional cytology, liquid-based cytology or HPV DNA tests. These specific tests were purposefully selected as they are the most relevant screening modalities for the Canadian context, for which subsequent screening guidelines would be developed. The outcomes of interest were cervical cancer mortality and incidence of invasive cervical cancer. In addition, we examined two United States Preventive Services Task Force (USPSTF) reviews on cervical screening for any relevant studies not captured by our search strategy [7, 8]. Reference lists of on-topic systematic reviews were also searched to ensure all primary studies meeting our inclusion criteria were considered. A focused search of PubMed, specifically for RCTs on cervical screening, was undertaken on November 5 2012, several weeks in advance of the release of the Canadian Task Force on Preventive Health Care guideline.

Study selection and data extraction

Pairs of reviewers screened all identified citations. Any citation deemed potentially relevant was retrieved for full text review. Two reviewers independently assessed each full text article for eligibility. Disagreements were resolved through discussion. For each included study, two reviewers independently extracted relevant outcome data and study details. Conflicts were resolved through discussion.

Quality assessment

Risk of bias assessments were completed in duplicate. Quality of the evidence was determined using the GRADE system (Grading of Recommendations Assessment, Development and Evaluation). This considers five criteria (design, consistency, directness, precision, reporting bias) to rate of a body of evidence as high, moderate, low or very low, indicating the assessment of the likelihood that further research will impact the estimate of effect [9]. After two reviewers independently assessed the evidence on the criteria, agreement was reached on the ratings and the overall quality of the summary statistics.

Statistical analysis

For the one included RCT we combined the cytology and HPV testing arms into a single screening group that was compared to the control group on the outcomes of cervical cancer mortality, incidence of all cervical cancer, and incidence of stage II or higher cervical cancer. Event rates were entered into Cochrane’s Review Manager 5 (RevMan) software [10] and a fixed-effects model was used to compute a risk ratio for each outcome.

A single cohort study provided data for the incidence outcome. To be consistent in the presentation of findings, the reported estimate of effect was inverted to provide the risk for the screened group with the unscreened group as the referent.

We also conducted a meta-analysis using data from case–control studies that examined the odds of exposure to cytology screening among women diagnosed with invasive cervical cancer and women with no history of the disease. RevMan [10] was used to perform the meta-analysis using the generic inverse variance method and the random-effects model [11]. We used Chi2 and I2 values to test for heterogeneity [1214]. Post hoc sensitivity analyses (based on contextually and clinically important differences in study designs, populations, interventions, organized versus opportunistic approaches, and length of exposure to screening) were conducted to attempt to explain heterogeneity.


Study selection and characteristics

Figure 1 shows the selection of studies. The search strategy located 15,145 citations after duplicates were removed, approximately 4% (n = 531) of which passed relevance screening and went on to full text assessment. Of these, 27 papers (24 unique studies) met all criteria and were included in the full review. In addition, five studies in the 1996 USPSTF report that pre-dated our search parameters were added to the evidence [1519]. The 2011 USPSTF report contained no studies that met our inclusion criteria that were not already part of this review and no additional primary studies were located in the reference lists of other systematic reviews. The supplemental search of PubMed in November 2012 located 10 new citations, however none of these were RCTs that met the inclusion criteria for this review.

Figure 1
figure 1

Flow diagram for selection of studies included in the systematic review.

For the three questions covered in this paper, we identified one RCT [20], two cohort studies [21, 22] and 18 case–control studies (one study had four publications) [1519, 2338]. Fourteen of these studies were used to examine the question of screening effectiveness, 14 studies (16 papers) provided data on screening intervals, and four studies (six papers) provided data that considered ages to initiate and discontinue screening. The RCT considered both cytology and HPV screening tests; all observational studies considered only cytology. Additional characteristics of these 21 studies are summarized in Table 1.

Table 1 Characteristics of the included studies

Quality assessment

Despite concerns regarding sample selection, the one included RCT [20] was otherwise judged to have low risk of bias (Table 2). However, this research was downgraded to a moderate quality GRADE rating due to serious concerns about indirectness of the evidence for this review (Table 3). Only one of the included cohort studies [21] had exposed and unexposed groups and could therefore be assessed for risk of bias with the selected scale [39]. This study satisfied all of the criteria except one and was given a low risk rating (Table 4). Though not downgraded for any serious concerns, this evidence received an overall low quality GRADE rating (Table 3). Based on the rationale that observational research involves less rigorous methods than RCTs, these types of studies start with a low quality rating in the GRADE system [9]. Overall the 18 included case–control studies demonstrated low risk of bias (Table 4). All but two studies scored six or more out of a possible nine points on the scale with a median rating of seven. The two most common risks were use of hospital controls (eight studies) and use of self-reports and/or non-blinded interviews to ascertain exposure (nine studies). As a group, the 12 case–control studies used to answer the effectiveness of screening question was downgraded to very low GRADE quality due to concerns about indirectness of the body of evidence to the Canadian context as well as the strong likelihood of publication bias (Table 3). It should also be noted that half of these papers contained data that are at least 20 years old and all were based on screening that occurred more than 10 years ago, prior to the introduction of HPV testing.

Table 2 Risk of bias assessment of the randomized controlled trial
Table 3 Summary of findings for effect of screening on cervical cancer mortality and incidence
Table 4 Risk of bias assessment of the observational studies a

What is the effect of cervical cancer screening on incidence of and mortality from invasive cervical cancer?

A summary of the evidence available to answer the question about the effect of screening on cervical cancer mortality and incidence is presented in Table 3.

One large cluster randomized trial provided cervical cancer mortality and incidence outcomes for women with a single lifetime screen compared with women with no screening history [20]. Fifty-two villages in rural India, with a total of 131,746 healthy women ages 30 to 59 were randomly assigned to one of four groups. Women in these groups were offered a single screening by HPV test, cytology or visual inspection by acetic acid, or were told how to seek screening at local hospitals. Eight-year follow-up data showed the risk of dying from cervical cancer was 35% lower among women invited to screening with HPV or cytology testing than among women not offered screening (risk ratio (RR) 0.65; 95% CI 0.47, 0.90; P = 0.01). Likewise, women offered screening with one of these two tests had a 44% lower risk of being diagnosed with advanced cervical cancer (International Federation of Gynecology and Obstetrics (FIGO) stage II+) than women in the control group (relative risk (rr) 0.56; 95% CI 0.42, 0.75; P = 0.0001). However, screening by a single lifetime HPV or cytology test did not influence overall cervical cancer (FIGO stage I+) incidence (rr 1.12; 95% CI 0.91, 1.39; P = 0.28). The higher risk among screened women is explained by the detection of disease in the screened groups and the fact that this was the first cervical screening procedure almost all of the women had ever undergone.

Observational studies conducted in nations or regions where organized screening programs are in place and/or in countries where women are likely to participate in recurrent opportunistic screening have shown significant protective effects of cytology screening. A UK-based cohort study of 116,022 women aged 25 to 69 years demonstrated the incidence of invasive cervical cancer (FIGO stage I+) was significantly lower among women who participated in the country’s comprehensive screening program (that is, they had at least one cytology test in the preceding 6 to 66 months) than among women not screened during this interval (rr 0.38; 95% CI 0.23, 0.63; P = 0.0002) [21]. Benefits were also apparent in a dozen case–control studies that examined exposure to cervical screening among women with invasive cervical cancer and age-matched women without the disease [1518, 2330]. Meta-analysis of the 12 studies, which included almost 4,800 cases and 18,000 controls, showed lower odds of having undergone screening with cytology among women who were diagnosed with cervical cancer (odds ratio (OR) 0.35; 95% CI 0.30, 0.41, P <0.00001) (Figure 2). Despite similarities in point estimates, overlapping CIs and consistency in the direction of effect across studies, the pooled result should be applied with caution given that heterogeneity statistics were significant (Chi2 = 50.98, degrees of freedom (df) = 12, P <0.00001; I2 = 76%). A number of sensitivity analyses were conducted to attempt to explain the variation. The test for subgroup differences between studies conducted in more generalizable (to the Canadian context) countries versus less generalizable countries showed moderate heterogeneity (Chi2 = 2.27, df = 1, P = 0.13, I2 = 55.9%). All other sensitivity analyses showed minimal to no heterogeneity (Canada and US versus other countries: Chi2 = 0.14, df = 1, P = 0.71, I2 = 0%; mass or organized screening versus spontaneous or opportunistic screening: Chi2 = 0.56, df = 1, P = 0.46, I2 = 0%; any lifetime screening exposure versus exposure in previous 3 to 6 years: Chi2 = 0.12, df = 1, P = 0.73, I2 = 0%; self-reported screening history versus verified records: Chi2 = 1.28, df = 1, P = 0.26, I2 = 21.6%; case diagnosis date 1990s/2000s versus pre-1990s: Chi2 = 0.14, df = 1, P = 0.71, I2 = 0%; community controls versus hospital controls: Chi2 = 0.35, df = 1, P = 0.56, I2 = 0%).

Figure 2
figure 2

Forest plot of the effect of screening on incidence of invasive cervical cancer - exposure to cytology screening.

How does varying the screening interval affect incidence of and mortality from invasive cervical cancer?

For the question regarding the optimal frequency of screening, the search located 14 studies which included 12 case–control studies that looked at exposure to cervical screening and two cohort studies that reported incidence rates for invasive cervical cancer [16, 18, 19, 21, 22, 24, 2729, 3133],[3538]. We found no studies that reported cervical mortality outcomes related to screening intervals. Methodological variations (for example, in interval durations, interval groupings, diagnostic test exclusion periods) prevented pooling data from these studies; thus this review is unable to provide definitive answers on how often to screen. However, the evidence does offer some indications that are useful for decision-making. First, the shortest screening interval considered within each study consistently offered the greatest protective effects (for example, <1 year OR 0.14 (no CI given) [16]; <1 year OR 0.18 (95% CI 0.09, 0.35) [32]; 1 year OR 0.09 (95% CI 0.06, 0.16) [29]; <3 years OR 0.12 (95% CI 0.07, 0.20) [19]; <3 years OR 0.25 (95% CI 0.15, 0.42) [37]). Second, screening intervals of five years or less appeared to offer women substantial protection against invasive cervical cancer (for example, <5 years OR 0.3 (95% CI 0.2, 0.4) [27]; 1 to 5 years OR 0.2 (95% CI 0.1, 0.5) [28]; 1 to 3 years OR 0.27 (95% CI 0.13, 0.56) [38]; 2 years OR 0.17 (95% CI 0.08, 0.34) [29]). Third, the protective effect of screening diminished with longer intervals between tests but even intervals of 10 to 15 years showed significant protective benefits (for example, 10 to 14 year interval OR 0.4 (95% CI 0.3, 0.5); ≥15 year interval OR 0.5 (95% CI 0.4, 0.7) [27]). Finally, regardless of the specific interval, any lifetime screening was better than no history of screening (for example, interval >5.5 years compared to never screened RR 0.34 (95% CI 0.14, 0.82) [21]; interval ≥6 years compared to never screened OR 0.56 (95% CI 0.38, 0.82) [37]).

How does varying the age at which screening is started or stopped reduce incidence of and mortality from invasive cervical cancer?

For the question on optimal ages to start and stop screening, the search located four studies including three case–control studies that examined exposure to screening among different age groups and one age comparison within a cohort study that reported incidence rates for invasive cervical cancer [22, 24, 27, 3234]. No studies were found that looked specifically at the age to stop screening; only one study investigated the protective benefit of screening among older women [24]. We found no studies that reported cervical cancer mortality outcomes related to age and screening history. Methodological variations across studies (for example, in overall age ranges, age groupings used for analysis) prevented pooling the data. Given the available evidence we were not able to definitively answer the question regarding ages to initiate and discontinue cervical screening, however we were able to draw a few themes from the data. Participation trends showed very high screening attendance among young women, high attendance among middle-aged women, and consistently lower participation in older groups of women [32, 33]. Despite very high participation among younger women, the benefit of screening below age 30 is unclear. Significant benefits were found in one study (OR 0.42; 95% CI 0.24, 0.74) [24], non-significant benefits were observed in another study (OR 0.7; 95% CI 0.3, 2.1) [27], and no benefits were found in a third study (screened at ages 20 to 21 OR 1.51; 95% CI 0.95, 2.38; screened at ages 22 to 24 OR 1.11; 95% CI 0.83, 1.50) [34]. Screening decisions for women under age 30 must consider the balance between potential benefits and potential harms and economic costs. Alternatively, the evidence indicates exposure to cytology screening provides a substantial protective effect in women 30 years and older (for example, screened at ages 30 to 65 OR 0.40 (95% CI 0.34, 0.47) [24]; ages 40 to 59 OR 0.3 (95% CI 0.2, 0.4) [27]; ages 42 to 44 OR 0.37 (95% CI 0.29, 0.48); ages 52 to 54 OR 0.26 (95% CI 0.19, 0.36) [34]) and there is some evidence this protective effect remains strong in women over 65 years (OR 0.36; 95% CI 0.24, 0.53) [24].

Discussion and conclusions

The ultimate goal of cervical screening is to decrease the incidence of and subsequent mortality from invasive cervical cancer. The available evidence supports the conclusion that screening does offer protective benefits and is associated with a reduction in these critical outcomes. An RCT in India showed that even a single lifetime screening test significantly decreased mortality from and incidence of advanced cervical cancer compared to no screening. Cytology screening was shown to be beneficial in a cohort study that found testing significantly reduced the incidence of invasive cervical cancer compared to no screening. Pooled evidence from a dozen case–control studies also indicated a significant protective effect of cytology screening. This review found no conclusive evidence for establishing optimal ages to start and stop cervical screening, or to determine how often to screen; however the available data suggests substantial protective effects for screening women 30 years and older and for intervals of up to five years.


The findings are impacted by the biases and limitations of the literature and the included studies. For the question on the effect of cervical screening on the outcome of mortality, all of the data came from one RCT of a single lifetime screen offered to women in rural villages in India with follow-up limited to eight years. The bulk of the evidence used to assess the effect of screening on the incidence of invasive cervical cancer and to address the questions about optimal screening intervals and ages was taken from low and very low GRADE quality observational studies, the results of which need to be considered with caution. Further, aside from the location of the studies offering some explanation, the large amount of heterogeneity between studies included in the meta-analysis cannot be accounted for by the factors explored in the sensitivity analyses; consequently the pooled estimate should also be applied with caution. It is also important to acknowledge the potential for observational studies to present additional risks that could introduce bias in favor of screening including: earlier diagnosis in screen-detected cases (lead bias), over-representation of women with a lengthy pre-clinical stage (length bias), and over-representation of healthier participants among those who attend for screening (volunteer bias). Finally, we restricted our search to papers in English or French, thus we may have missed relevant data in papers written in other languages.

Implications for further research

Although this review identified research evidence that supports the practice of cervical cancer screening, there remain unanswered questions, particularly about newer HPV technologies. Compared to studies that focus on outcomes after cytology screening, the evidence base concerning the relative effectiveness of HPV screening is limited. While minimal evidence was found for cytological testing, no studies were found that looked at optimal screening intervals or ages to commence or discontinue HPV testing that also met the inclusion criteria (for example, included outcomes of invasive cancer incidence and mortality). More evidence is needed on the harms of HPV testing (for example. false positive rates) and the related potential for unnecessary, and possibly harmful, diagnostic and treatment procedures. The HPV FOCAL Trial, currently underway in British Columbia, is one study that may provide answers to some of these important questions [43].