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Trends and projections in cervical cancer incidence in northern Tunisia (1994–2040)

Abstract

Background

Cervical cancer (CC) is a major public health problem; it is the fourth leading cause of cancer in women worldwide. The present study aimed to analyze trends and projections in incidence of CC in northern Tunisia during the period 1994–2040.

Methods

Crude and Age standardized CC incidence were calculated. Joinpoint software was used to dress trends in incidence. Projections were assessed using the age period cohort model.

Results

This study revealed 3092 cases of CC during the period 1994–2018 in northern Tunisia, representing an annual number of 129. The mean age at diagnostic was of 56 ± 12.9 years with extremes ranging from 19 to 88 years old. The crude and standardized incidence rates were respectively of 4.9/100,000 and 5.2 /100,000 women year in 2018. A downward trend in the age standardized incidence rate of CC was confirmed in northern Tunisia from 6.6 in 1994 to 4.7 in 2018 with an Annual Percentage Change (APC) of -1.8%, Confidence interval (CI) at 95% of [-2.9; -0.6]; (p = 10− 3). Trends analysis have also described three periods: the first one from 1994 to 1998 with a stable trend. The second period was from 1998 to 2006 with a significant decreasing trend with an APC of -7.2%, CI at 95% of [-13.0; -1.0]; (p = 0.02) and the third period was from 2006 to 2014 with a non-significant APC. According to projections, the number of new cases would be of 2017 in 2040 with an age standardized rate between 3.8 and 5.8/100,000 women year.

Conclusion

Results of this study underscore the need for the application of CC control program in Tunisia, with efforts focused on improving access to and participation in screening programs, HPV vaccination for females and ensuring timely access to effective treatment services.

Peer Review reports

Introduction

Cervical cancer (CC) constitutes the fourth leading cause of morbidity and mortality in women worldwide [1]. According to the World health organization (WHO) the burden of CC is considerable in low-and middle-income countries in 2022 [2]. CC presents a disparity between incidence and mortality rates in different regions in the world [3]. Indeed, there is a socio-economic gradient where incidence and mortality rates decrease with the increase of the Human Development Index (HDI). According to the Global Cancer Observatory (GLOBOCAN) 2022 estimates, a general decline in incidence was observed in most countries worldwide, with a stabilized incidence rate at relatively low levels in several high-income countries. In contrast, the incidence of CC increased in countries in East Africa and Eastern Europe [1, 4].

Countries around the world are working to accelerate the elimination of CC as recommended by the global strategy to eliminate CC by attending an incidence rate below 4/100,000 women year [5]. The World Health Organization (WHO) elimination strategy highlighted the need for a continuous and improved surveillance and monitoring of CC as a fundamental step towards action [6, 7, 8].

According to the latest report of the Northern Tunisia Cancer Registry (NTCR), the age standardized incidence rate (ASR) was 4.3/100,000 in 2014. The trend of the incidence was downward between 1994 and 2014, with an Average Annual Percentage Change (APC) of -2.3% (p < 0.05) [9]. This cancer ranks 6th in women [9]. The estimated ASR would be of 3.9/100 000 in Tunisia in 2023 [10]. According to Globocan, CC mortality was of 2.4/100 000 in Tunsia in 2022 [1] (Tunisia lack of exhaustive data on mortality).

Tunisia like other countries adhered to the WHO initiative on CC elimination. This initiative aims to reduce the incidence below a threshold of 4 cases per 100,000 women-year in each country. The 90-70-90 target set by the initiative to be achieved by 2030 requires that 90% of girls are vaccinated by the age of 15, 70% of women are screened with a high-performance test at least twice by the age of 45 years, and 90% of women identified with cervical precancerous lesions or cancer are treated.

Currently CC prevention in Tunisia uses mainly cytology screening for women aged between 35 and 59 years every 5 years. This strategy has encountered many difficulties with a low coverage around 15%. In addition, a pilot project on the implementation of the PCR test proved its feasibility in Greater Tunis, so it was decided to replace cytological screening by HPV DNA Testing as recommended by the WHO. HPV vaccination would be also implemented in the national vaccination program in 2025.

In Tunisia cancer surveillance is assured by three regional cancer registries in northern, central and southern Tunisia [11]. NTCR encompasses around the half of the Tunisian population [12]. Cancer surveillance constitutes a fundamental component to track and stay aligned with WHO targets on CC elimination [7]. The last data on CC incidence are back to 2014. In this context, the present study aimed to analyze trends in incidence of CC in northern Tunisia during the period 1994–2018 and to dress projections till 2040.

Methods

This was a descriptive retrospective and exhaustive study about CC cases of the northern Tunisia region during the period 1994–2018.

Study design and population

CC cases were extracted from the NCRT database for the period 1994–2018. The NTCR covers around the half of the Tunisian population including habitants of Greater Tunis, northeastern and northwestern Tunisia.This region encompasses 5,233,700 inhabitants: 2,636,160 males and 2,597,540 females according to the National Institute of Statistics (NIS) of Tunisia [13].

NTCR process

The NTCR was established since 1997 and uses the active method to collect data. Trained cancer registrars visited retrospectively and collected data of cancer patient’s records in all health care departments of both public and private sectors in the northern Tunisia region. These data concerned patient demographic data (age, gender, origin…), and characteristics of the tumor (site, histological type, grade, extension, evolution…).

The codification of tumors followed the first International Classification of Diseases for Oncology (ICD-O) between 1994 and 2003 then the third ICD-O was used since 2004 [14]. CC codes correspond to 180 according to the ICDO-1 and to C53 in the ICDO-3.

Concerning data check of the registry database, research for duplicates was carried out systematically upon entry and periodically, messing data of the mandatory variables were verified, check for inconsistencies regarding gender and site, age and site and finally site and morphology were carried out by the registry teem. Data collection, coding and check followed the international recommendations of the International Agency for Research on Cancer (IARC). All measures to respect confidentiality have been taken.

Data quality of NTCR

We explored data exhaustiveness through two parameters: the average number of notification sources which was of 1.1 and the percentage of cases verified histologically which was of 95.0% for males and of 95.6% for females. To assess the validity of data, the rate of missing cases for the mandatory variables was calculated: the variable sex was specified for all patients, the percentage of unknown age was of 5.5%, the rate of unknown primary was of 3.6% and the percentage of cases with unknown place of residence was close to 4%.

Statistical analysis

Stata and excel software were used to analyse data. Joinpoint software was used to dress trends.

Calculation of the crude and standardized incidence rate

We calculated crude incidence rate (CIR) using cases by gender and age group collected by the NTCR corresponding to the period 1994–2018 in the numerator. The number of Tunisian population by gender, age group and region were extracted from the NIS during the period 1994–2018 and corresponded to the denominator [13]. The CIR was calculated as follow:

$$\:CIR=\:\frac{Number\:of\:cases}{Number\:of\:population\:per\:time\:periode}$$

We used the direct method of standardization to calculate the age standardized rate (ASR) as fellow [15]:

$$\:ASR=\:{\sum\:}_{i-1}^{n}\text{\circledR\:}(ti*proportion\:of$$
$$\:\:age\:class\:i\:in\:the\:reference\:population)$$

Where n represents the number of total age classes and ti the specific incidence rate by age class, these age groups consisted of 5-year intervals as recommended to achieve standardization [15, 16]. When the effective was very small for example in ages under 40 and below 65 years we aggregated the corresponding age groups.

The ASR was calculated using the WHO standard population as a reference (as showed in the previous formula) [16]. The (WHO) standard population is based on the mean world population age structure which removes the difference between population age composition over the world and to allow comparison of incidence rates between countries [17].

$$\:ti=\frac{number\:of\:observed\:new\:cases\:in\:the\:class\:i\:}{Total\:population\:of\:the\:class\:i}*100\:000$$

Trend analysis

We used Joinpoint software to analyze trends in incidence. Joinpoint is a statistical software package recommended by the IARC to analyzes patterns [18]. This software tests whether an apparent change in trend is statistically significant or not and fits selected trend data (e.g., cancer rates) to the simplest model that the data allow. It assesses the significance level of any statistically upward or downward trends. This analysis facilitated the calculation of the annual percentage change (APC) with its 95% confidence interval. The significance level was set at 5%. Concerning trends in the specific incidence rate by age group, as the number of cases was very small in some age categories, we aggregated some of them such as age groups less than 40 years old and over than 65 years. We also used the joinpoint software to assess trends in the proportional distribution of CC extension (local, regional and metatstatic), histological grade (grade 1, grade 2 and grade 3) and histological type (essentially epidermiod carcinomas and adenocarcinomas).

Projection analysis

Projections were assessed using the age period cohort (APC) model [19]. The APC constitute one of the most common modeling approaches for projecting cancer rates. The APC model provide useful and important information about cancer evolution over time that could be attributable to three main metrics: age, period and cohort [20]. Age refers to the chronological time since birth, Period signifies the date of diagnosis (in this study the event is cervical cancer) and Cohort refers to the date of birth. Usually, the relationship between these variables is correlated as: cohort = period-age [21].

Ethical considerations

The confidentiality of personal information’s was respected during the collection and the data analysis. It is also useful to mention that cancer registries in Tunisia are governed by Decree No. 2008 − 846 of March 24, 2008; on the other hand, the NTCR received authorization from the National Authority for the Protection of Personal Data on April 27, 2017.

Results

Incidence of CC in northern Tunisia (1994–2018)

During the period 1994–2018, 3092 cases of CC were identified, representing an average annual number of 129. The crude and standardized incidence rates were respectively of 4.9/100,000 and 5.2/100,000 women year (Table 1). The mean age at diagnostic was of 56 ± 12.9 years with extremes ranging from 19 to 88 years old and the age specific incidence rate (ASIR) increased regularly with age. During the period 1994–2018, regional extension represented more the half of cases with 53.6%, followed by local (37.9%) and metastatic extension (7.9%). CC in situ represented 0.5% of CC cases.

Table 1 Incidence rate of cervical cancer in Northern Tunisia 1994–2018

Trends in incidence of CC in northern Tunisia (1994–2018)

The ASR decreased significantly from 6.6 in 1994 to 4.7 in 2018 with an APC of -1.8%, CI at 95% of [-2.9; -0.6]; (p = 10− 3) (Table 2; Fig. 2). Trends analysis have also described three periods: the first one from 1994 to 1998 with a stable trend APC of 6.6%, CI at 95% of [-8.5; 24.1]; (p = 0.4). The second period was from 1998 to 2006 with a significant decreasing trend with an APC of -7.2%, CI at 95% of [-13.0; -1.0]; (p = 0.02) and the third period was from 2006 to 2014 with a non-significant APC of 1.5%, CI at 95% of [-1.3; 4.5]; (p = 0.2) (Table 2; Fig. 1).

Fig. 1
figure 1

Trends in the age standardized incidence rate of cervical cancer for the period 1994-2018

Fig. 2
figure 2

Global trends in the age group less than 54 years specific incidence rate of cervical cancer cases for the period 1994-2018

Table 2 Trends in the age standardized incidence rate of cervical cancer in Northern Tunisia (1994–2018)

The trend of the ASIR was significantly decreasing for the age groups between 40 and 54 years; however it was stable under 40 years and over 55 years old (Table 3; Figs. 2 and 3).

Fig. 3
figure 3

Global trends in the age group over 55 years specific incidence rate of cervical cancer cases for the period 1994–2018

Table 3 Time trends of the age-specific incidence rates (1994–2018)

Trend of the repartition of cervical cancer cases according to the extension stage, histological grade and type

Concerning local stage, proportional distribution of CC cases was significantly increasing from 20.0% in 1994 to 75.8% in 2018 with an APC of 7.9%; [5.9; 10.0]; (p < 10− 3). In the other hand, regional distribution has significantly decreased from 73.9% in 1994 to 15.2% in 2018 with an APC of -7.7%; [-9.2;-6.2]; (p < 10− 3). Proportional distribution of the metastatic stage was stable during 1994–2018 (APC: 1.1%; [-1.8; 4.4]; p = 0.4) (Table 4; Fig. 4). Time trend of grade 1 has significantly decreased from 66.7% to 28.2% from 1994 to 2018 with an APC of -4.1%; [-4.7;-3.6]; (p < 10− 3). However, trends of the repartition of CC grade 2 and 3 were significantly increasing from 16.7% in 1994 to 48.1% and 24.0% respectively in 2018 (APC of 5.6%; [4.3;6.9]; (p < 10− 3) for grade 2 and APC of 4.4%; [1.5; 6.1]; (p = 0.001) for grade 3) (Table 4; Fig. 5). While the trend of the repartition of squamous cell carcinoma CC was significantly decreasing (APC: -0.5%; IC at 95% [-0.7;-0.3]; p < 10− 3), the repartition of adenocarcinoma CC was significantly increasing (APC: 2.6%; IC at 95% [1.2;4,1]; p < 10− 3) (Table 4; Fig. 6).

Fig. 4
figure 4

Trends of the proportional repartition of cervical cancer cases according to the extension in northern Tunisia (1994–2018)

Fig. 5
figure 5

Trends of the proportional repartition of cervical cancer cases according to the histological grade in northern Tunisia (1994–2018)

Fig. 6
figure 6

Trends of the proportional repartition of cervical cancer cases by histological type in northern Tunisia (1994–2018)

Table 4 Trends of the proportional repartition of cervical cancer cases according to the extension, histological type and grade in Northern Tunisia (1994–2018)

Projections of cervical cancer cases in northern Tunisia till 2040

According to projections, the number of new cases would be stable and will reach 217 cases in 2040 with an expected ASR between 3.8 and 5.8/100,000 (Table 5).

Table 5 Projections of cervical cancer cases in Northern Tunisia 2020–2040

Discussion

CC constitutes a major public health problem ranking as the fourth most frequent cancer in women woldwide[22]. Analyzing trends in incidence of this cancer is an essential step to monitor progress towards WHO goals for CC elimination [23]. This study aimed to analyze trends in incidence of this cancer in northern Tunisia during the period 1994–2018 and to dress projections till 2040.

This study revealed a low level of incidence in CC in northern Tunisia. Trends analysis have also described two periods: the first one from 1994 to 1998 with a stable trend significant decreasing trend and the second period was from 2008 to 2018 with a non-significant APC. Projections in CC incidence were stable till 2040. Trends analysis have also described three periods: the first one from 1994 to 1998 with a stable trend. The second period was from 1998 to 2006 with a significant decreasing trend with an APC of -7.2%, CI at 95% of [-13.0; -1.0]; (p = 0.02) and the third period was from 2006 to 2014 with a non-significant APC.

The incidence rate in northern Tunisia reported by this study was low (4.7/100,000 person year in 2018). This level of incidence of CC in north Tunisia was similar to those in many Arab countries such as Jordan, Palestine, Egypt, Iran, Iraq and Yemen [24]. In addition, the trends in the incidence of CC decreased significantly in northern Tunisia from 6.6 in 1994 to 4.7 in 2018 with an APC of -1.8%, CI at 95% of [-2.9; -0.6]; (p = 10− 3). This trend is in line with global trend of this cancer in the world with a decreasing trend in most countries [1, 25]. In fact, a recent study on CC incidence trends during the period 1988–2017 based on data of GLOBOCAN 2020 reported a universal decline in CC incidence in most countries of the world; most important declines were observed in some Latin American (Brazil, Colombia and Costa Rica) and Asian countries (India, Thailand and Indonesia) [1, 23, 25]. This was essentially due to the implementation of CC screening programs [26, 27]. In contrast, increases were observed in the Baltic countries in eastern Europe and in eastern Africa which is due to the absence of effective population-based screening programs [28]. Poverty, weak health systems and low levels of education are the main obstacles to prevention efforts [29].

It is difficult to associate the downward trend in CC incidence in Tunisia to the screening program as the coverage of CC screening in Tunisia was low, estimated to less than 17% among women aged 35 to 59 years [12]. This also could be approved by the very low percentage of carcinoma in situ in this study which represented only 0.5% of all cases. It could probably be attributed to the improvement of sociocultural characteristics among women related to factors associated with the decrease of HPV infections such as improvement of genital hygiene and sexual behavior [30, 31]. Male circumcision also plays a protective role in HPV transmission and is very widely practiced in Muslim-majority countries [32]. The improvement of socioeconomic status of the Tunisian population could also explain at least a part of the CC incidence decrease [33].

Moreover, the downward trend in incidence of CC in Tunisia should not reassure us as to the absence of risk of an increase in this incidence. Indeed, by analyzing sexuality among young Tunisians, we must fear an increase in the risk of sexually transmitted infections, including HPV infections [34]. According to a study conducted by Khemakhem et al. in 2015 [35] among 104 Tunisian adolescents of both genders, hetero-sexual activity was reported in 46.2% (n = 24) of adolescents and 44.2% teenagers. The average age of first sexual intercourse was 16.15 years for males and 15.83 for females [35]. No protection means has been used by the boys at the first sexual intercourse in 91.7% (n = 22) of cases and 26.1% of girls had a first act under protection [35]. The prevalence of HPV among Tunisian women was estimated at 7.8% [34]. However, in the absence of population-based studies, it is difficult to have non bias estimates of this prevalence. Consequently, the adhesion to the WHO initiative on CC elimination is justified.

According to the period, the present study has shown a significant decrease in CC incidence between 1998 and 2006 which could reflect the effect of CC screening; however, since 2006, the present study reported a stable trend. This result has been observed, in Oceania (Australia and New Zealand), north America (Canada and the United States), and Western Europe since the mid-2000s where trends in incidence were stabilized [1, 25, 36, 37] but also in Saudi Arabia [38]. The stagnant incidence in Tunisia reported in this study highlights the need to adhere to the Cervical Cancer Elimination Initiative which has set national 90–70–90 targets for CC elimination by 2030 [6, 39]. The targets require that 90% of girls are vaccinated with HPV vaccine before the age of 15 years, 70% of women are screened with a high-performance test at between 35 and 45 years, and 90% of women well treated [40]. Screening strategy in Tunisia has encountered many limitations such as the problems of interpretation, late results and a low coverage which has never exceeded 17% among Tunisian women aged 35 to 59. So, it has become imperative to replace cytology screening by DNA test recommended by the WHO (50). This transition would allow screenings to be spaced every 10 years, i.e. at ages 35 and 45. In 2022, a pilot project was carried out to study the feasibility of the implementation of high-risk HPV testing as a primary screening test for CC in the district of Tunis [41]. Results of this project have proven the feasibility of this strategy in the Tunisian context and a decision has been taken to gradually extend this project to centerSouthern Tunisia and gradually to the entire country. This would allow increasing the coverage of screening in Tunisia in order to further reduce the incidence of CC which has been stabilized for a while. In addition to screening, Cervical Cancer Elimination Initiative recommends the introduction of HPV vaccine which would bear fruit in the medium and long term. However, some experiences have demonstrated a low coverage due to vaccine hesitancy. This highlights the need to study the willingness of the general Tunisian population for HPV vaccination before its introduction.

Trend in the proportional distribution of CC local stage cases was significantly increasing, however; regional distribution has significantly decreased while metastatic stage was stable during 1994–2018. It’s difficult to relate the increasing trend of the proportional distribution of local stage to the implementation CC screening strategy in Tunisia, because the coverage of the program was low. In addition, the trend of SCC CC between 1994 and 2018 was significantly decreasing, that of adenocarcinoma was significantly increasing which was reported in the literature [42] and explained by the insufficient screening strategy to detect adenocarcinoma precursor lesions [43].

A key strength of this study is the use of high-quality population-based cancer registry data from the NTCR, which follows standardized international guidelines for case ascertainment and coding [16, 44, 45]. The methodology used for cancer registration in NTCR complies with IARC recommendations [45]. The use of the active method for data collection ensured satisfactory completeness; this one ensured the exclusion of selection bias. Similarly, elimination of duplicates and correction of incompatibility errors (sex/topography, topography/histology, age/topography/histology) ensured data quality [46]. Strengths related to the quality of the NTCR concerned essentially the exhaustiveness: in deed, the sex variable was specified for all patients, the age distribution did not show an excess of cases with age ending in 0 or 5 and only 3.6% of unknown primary site.

The main limitation of this study was the absence of a unique identifier for each citizen which constitutes a problem for efficient duplicate search. Moreover, the unique identifier could help to perform correspondence with medical deaths certificates and include CC deaths in the registry. Also, the quality of data records for some items, especially for the TNM stadium, governorate was poor and was the cause of the missing data. Concerning the quality of the NTCR there was essentially a problem of domiciliation with a percentage of unknown place of residence close to 4%. The delay between actual data and cancer registry publication in Tunisia as well as other low and middle income countries is essentially due to insufficient material and human resources, lack of medical information system and a problem of governance [12, 47].

Conclusion

Despite the downward evolution of CC incidence in northern Tunisia, it’s difficult to relate this decline to the implementation CC screening strategy in Tunisia, because the coverage of the program was low. The Tunisian CC strategy needs to be improved by adhering to the WHO CC initiative to eliminate this cancer, with efforts focused on improving access to and participation in screening programs, the implementation of HPV vaccination in females and ensuring timely access to effective treatment services, particularly for women residing in underserved regions. Targeted interventions addressing regional disparities and barriers to screening and preventive care will be key to achieving this goal in Tunisia and other countries with similar epidemiological patterns. The evaluation of the response to these interventions should be monitored and evaluated through surveillance which emphasis the need to improve cancer registries in Tunisia by providing the necessary material and human resources and facilitating access to data.

Data availability

The datasets generated and/or analysed during the current study are not publicly available due to data confidentiality but are available from the corresponding author on reasonable request.

Abbreviations

APC:

Annual percentage change

ASR:

Age standardized incidence rate

ASIR:

Age specific incidence rate

CC:

Cervical cancer

CI:

Confidence interval

CIR:

Crude incidence rate

GLOBOCAN:

Global cancer observatory

ICD:

O-International Classification of Diseases for Oncology

IARC:

International Agency for Research on Cancer

NIS:

National Institute of Statistics of Tunisia

NTCR:

Northern Tunisia cancer registry

P:

Level of significance

WHO:

World Health Organization

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H.K. and M.H: Conceptualization, methodology and validation H.K, M.H. and Y.A: Data analysis H.K. and N.M: Writing W.A, A.C. and H.M: validation. All authors have read and agreed to the published version of the manuscript.

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Correspondence to Hyem Khiari.

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Khiari, H., Abdelfatteh, Y.B., Mahjoub, N. et al. Trends and projections in cervical cancer incidence in northern Tunisia (1994–2040). BMC Cancer 25, 739 (2025). https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12885-025-13626-x

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