Abstract
Background:
Cervical cancer is one of the most common causes of cancer-related mortality among female, especially in the low-and-middle income countries. This systematic review and meta-analysis aimed to identifying the prevalence and trend of cervical cancer screening among 21member countries of the Asian National Cancer Centres Alliance (ANCCA)/ regions in Asia.
Methods:
We conducted a search on three databases including: PubMed, Web of Science and Scopus, using our search terms. Two independent reviewers screened titles and abstracts based on inclusion and exclusion criteria, and any conflicts were resolved through discussion. Full-text screening was also completed by two independent reviewers, and conflicts were resolved accordingly. Relevant information was extracted into an Excel sheet, and random-effects meta-analysis was performed to identify the pooled estimate of cervical cancer screening in Asia using Stata 17. The review has been registered in PROSPERO (registration ID: CRD42023401516).
Results:
We identified 54 studies from 19 ANCCA member countries/ regions in Asia reporting cervical cancer screening rates between 2012-2023. The pooled estimate of eight countries (Bangladesh, China, India, Iran, Japan, Korea, Nepal, and Thailand) that had more than three data points and were rated as satisfactory to very good in the quality assessment showed that cervical cancer screening rate was around 28% (95% CI: 0.25 - 0.32) in the last ten years.
Conclusion:
Most of countries/regions in Asia do not have sufficient data on cervical cancer screening due to lack of nationally representative surveys or national level cancer registries. Hence, it is crucial to encourage governments and private sector to strengthen their capacities and work in collaboration to enhance the cervical cancer screening rate in their respective countries.
Key Words: cervical cancer, screening, meta-analysis, Asia
Introduction
Cancer is the second leading cause of death globally, accounting for nearly 10 million deaths, or one in six deaths, in 2020 [1, 2]. Cervical cancer (CC) is one of the most common causes of cancer-related mortality among female specially in the low-and-middle income countries (LMIC) [3-5]. Most of the deaths related to cervical cancer are preventable with early detection, screening, and vaccination against the Human Papilloma Virus (HPV) [6]. The World Health Organization (WHO) through its global strategy to eliminate cervical cancer aims at reducing the global cervical cancer burden by ensuring HPV vaccination to 90% of girls by their 15th birthday, HPV screening to 70% of women at their 35 and 45 years of age and treating 90% of women identified with cervical cancer by 2030 [7]. However, more than six hundred thousand cases of cervical cancer were identified with about 341,831 deaths in the year 2020 alone globally with about 58% of the cases and mortality belonging to the Asian regions [8].
Asia is one of the most populated and affected continents in terms of the incidence and mortality related to the cancer [9]. The rapid scaling of cervical cancer screening (CCS) programs and HPV vaccination in this decade could avert 12.5-13.5 million cervical cancer cases within 40 years from now [10]. However, the diversity within and across countries is one of the major challenges for cancer screening and prevention in Asia [11, 12]. There are limited countries in Asia which have adapted the cervical cancer screening into their national policy and still, majority of the regions don’t have national health policies even if it’s one of the most common causes of mortality among their population [4, 13]. Lack of resources, trained professionals, and health facilities along with the low health literacy rate of the individuals are some of the major challenges faced by several Asian countries [14-18]. Most Asian countries focus on cervical cancer screening via outreach clinics however, often they miss the target population leading to low screening rates [19]. The centralization of health care facilities, poor supervision and monitoring from the government, economic recession, etc. are some added concerns in some Asian countries [20-23].
There are some disparities in health care accessibility and utilization among various cultural and ethnic groups both within and across counties in Asia [24]. Some national level statistics exist in certain regions like the Demographic and Health Surveys (DHS) or the annual reports containing information on CCS rates however in certain target age-groups [25, 26] otherwise, most of the Asian countries relies on national statistics provided by the International Agency for Research on Cancer (IARC) [27-29]. No studies have been conducted to accumulate the existing evidence on community based cervical cancer screening rates to identify if the CCS rate in a specific region is somewhere near the national statistics for that nation. In countries where the national level data is limited the individual studies conducted on several regions of the country might reflect the status of CCS within that country. The Asian National Cancer Centre Alliance (ANCCA) consists of 14 Asian countries with full membership and eight other associate members which are working together along with WHO, IARC and other organizations to prevent mortality and morbidity related to cancer in Asia [30]. Since the alliance includes most of the countries representing east, central and south Asia, this systematic review aims at identifying the prevalence and trend of cervical cancer screening among their member countries as it is crucial to identify the differences within and across these nations in cervical cancer screening so that necessary interventions can be implemented to reduce the existing burden of cervical cancer.
Materials and Methods
Data sources and inclusion criteria
All relevant literatures were searched from PubMed, Scopus and Web of Science using the search strategy shown in Supplementary File 1. The articles were reviewed to identify the cervical cancer screening rates in various Asian countries or regions which were a part of ANCCA. We limited our search to adult cancers however, this review includes the studies conducted on cervical cancer only and the other part of this review has already been published elsewhere [31], any cross-sectional studies, case-control studies, quasi-experimental studies, or cohort studies including information on the cervical cancer screening rate were included. Animal studies, review articles, systematic reviews, case reports, meta-analysis were excluded from this review. Studies conducted among Asians residing outside of Asia or their home country were excluded from this study. We included the screening rates of healthy populations or populations without any intervention (controls/ pre-intervention groups) and excluded high risk populations such as studies conducted among sex workers, HIV positive patients, etc. Any studies not reporting any two of the following: the underlying sample size, the number of screened population and the screening rate were also excluded. We also excluded studies published or conducted before 2012 as we wanted to collect latest information on cancer screening. We additionally performed hand searching using the key search terms on Google Scholar and PubMed and searched through the reference lists of relevant papers for additional studies.
Study population
Studies conducted among the citizens of the ANCCA countries or Asian regions (Bangladesh, Bhutan, Brunei, Cambodia, China, India, Indonesia, Iran, Japan, Korea, Laos, Malaysia, Myanmar, Nepal, Pakistan, Philippines, Singapore, Sri Lanka, Taiwan, Thailand, and Vietnam) of any age-group with the aim to identify cervical cancer screening rates were included in this review.
Study selection and review
The PRISMA flow chart showing the process of including/excluding papers has been published elsewhere [31]. Articles identified in the three databases were imported into EndNote and duplicates removed. Then articles were imported to Rayyan for the screening process. Screening of the research title and abstract were reviewed by two authors independently (AKB and ZW). Any conflicts between the two were resolved by the third author (RP). The included articles from the title and abstract screening were subject to the full text screening, performed by one author (AKB) however, 10% of the full text screening were performed by two independent authors (AKB and ZW). The reference list of included articles from the full text screening were used for further searching. The final inclusions were a set of articles obtained from hand searching, inclusions from Rayyan and through reference searching. Data extraction was carried out independently by four authors (AKB, RP, ZW, and MM) in an excel sheet. The review was registered in PROSPERO (registration ID: CRD42023401516).
Data quality
We used Newcastle – Ottawa Quality Assessment Scale for case-control and cross-sectional studies to identify the quality of the included articles. For quasi- experimental studies, the JBI critical appraisal checklist was used. For cross-sectional and case-control studies various characteristics of the study selection, comparability and outcome/ exposure were assessed. A single study could obtain a maximum of one point for each category of selection and outcome/ exposure and two points for comparability. Studies obtaining 9-10 points were identified as very good studies, 7-8 points were termed as good studies, 5-6 points were coined as satisfactory studies and those obtaining 0-4 points were considered as unsatisfactory studies [32]. The unsatisfactory studies were removed from the meta-analysis to improve the quality of the analysis. Similarly, the quasi-experimental studies were rated in a four-point Likert scale on nine different aspects of the study like the casual pathway of the study, comparability of the groups, presence of control group, etc. Based on the Likert scale the study was deemed to be included or excluded from further analysis [33].
Data synthesis and analysis
The cervical cancer screening rate was defined as the number of people screened for cervical cancer by total sample size of the study and the frequency of screening was often obtained using a question like “have you ever participated in the cervical cancer screening” or “have you ever had cervical cancer screening” in the cross-sectional studies. We combined estimates from more than one paper to examine the pooled screening rate by country using the sub-group meta-analysis of proportion when studies examined the rate of cervical cancer screening in the same country or state. We used the study with highest sample size when the year of screening was similar in a country. We used the random-effect model to provide a more conservative estimate of effect. All analyses were conducted in Stata 17.
Role of funding source
The funder of the study had no role in study design, data collection, data analysis, data interpretation, or writing of the report.
Results
The study identified 54 articles on cervical cancer screening rate in various ANCCA member countries/ regions in Asia (Bangladesh, Bhutan, Cambodia, China, India, Indonesia, Iran, Japan, Korea, Laos, Malaysia, Nepal, Pakistan, Philippines, Singapore, Sri Lanka, Taiwan, Thailand, and Vietnam) from 2012-2023.
We didn’t find any relevant studies on cervical cancer screening from Brunei and Myanmar. Most of the studies were conducted in India (N = 8) followed by China (N = 6) and Iran (N = 6). Evidence was limited from many countries/ regions like Bhutan, Cambodia, Indonesia, Laos, Malaysia, Sri Lanka, Taiwan, and Vietnam (N < 3). Pap smear was the most used cervical cancer screening method among all countries. Most of the identified studies were cross-sectional studies (N = 50). We identified that none among the 21 countries had a regular screening interval for cervical cancer and majority of screening were conducted before 2020 (Table 1).
Table 1.
Description of Studies Included in the Systematic Review (N = 54)
| Country of study | Authors | Publication year | Study design | Year of screening | Sample size | Age | Type of screening | Screening interval | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Bangladesh | Ferdous, J. et al (20) | 2014 | cross-sectional study | 2013 | 200 | >30 | NA | ever screened | |||||||
| Bangladesh | Pengpid, S. and Peltzer, K. (45) | 2014 | cross-sectional study | 2014 | 256 | 18-26 | pap smear | ever screened | |||||||
| Bangladesh | Islam, R. M. et al (46) | 2015 | cross-sectional study | 2015 | 773 | 30-59 | NA | ever screened | |||||||
| Bhutan | Dhendup, T. and Tshering, P. (47) | 2014 | cross-sectional study | 2012 | 557 | All | pap smear | at least once | |||||||
| Cambodia | Vorn, R. et al (48) | 2020 | cross-sectional study | 2013 | 1039 | NA | pap smear | ever screened | |||||||
| Cambodia | Touch, S. and Oh, J. K. (49) | 2018 | cross-sectional study | 2016 | 440 | 20-69 | pap smear | ever screened | |||||||
| China | Bao, H. et al (50) | 2018 | cross-sectional study | 2013 | 91816 | >=21 | NA | ever screened | |||||||
| China | Pengpid, S. and Peltzer, K. (45) | 2014 | cross-sectional study | 2014 | 636 | 18-26 | pap smear | ever screened | |||||||
| China | Zhang, M. et al (51) | 2020 | cross-sectional study | 2015 | 75287 | 20-64 years | NA | 3 years | |||||||
| China | Li, H. et al (52) | 2023 | cross-sectional study | 2017 | 1446 | 35-64 | NA | ever screened | |||||||
| China | Zhang, M. et al (23) | 2022 | cross-sectional study | 2018 | 72095 | 20-64 | NA | NA | |||||||
| China | Lin, W. et al (53) | 2022 | cross-sectional study | 2020 | 3651 | 20-65 | NA | in past three years, over three years | |||||||
| India | Rahman, H. and Kar, S. (54) | 2015 | cross-sectional study | 2012 | 253 | All | pap smear | ever screened | |||||||
| India | Budukh, A. et al (55) | 2021 | cross-sectional study | 2013 | 945 | All | HPV testing | NA | |||||||
| India | Jeyapaul, S. et al (56) | 2021 | cross-sectional study | 2014 | 18490 | 25-60 | VIA | NA | |||||||
| India | Zhu, C. K. et al (57) | 2022 | cross-sectional study | 2015 | 699686 | 15-49 | NA | ever screened | |||||||
| India | Narayana, G. et al (58) | 2017 | cross-sectional study | 2017 | 403 | >=18 | NA | past 3 years, > 3 years | |||||||
| India | Reichheld, A. et al (59) | 2020 | cross-sectional study | 2019 | 1033 | 20-65 | VIA | ever screened | |||||||
| India | Sharma, A. et al (60) | 2021 | cross-sectional study | 2021 | 397 | <=40 | NA | NA | |||||||
| India | Menakuru, S. R. and Kalla, S. (61) | 2022 | cross-sectional study | 2022 | 4121 | >=21 | VIA | NA | |||||||
| Indonesia | Anwar, S. L. et al (62) | 2018 | cross-sectional study | 2014 | 1058 | 40-60 | pap smear | NA | |||||||
| Indonesia | Sumarmi, S. et al (63) | 2021 | cross-sectional study | 2016 | 682 | >=30 | pap smear | regular, irregular | |||||||
| Iran | Aminisani, N. et al (64) | 2016 | cross-sectional study | 2014 | 560 | >=40 | pap smear | ever screened | |||||||
| Iran | Ahmadipour, H. and Sheikhizade, S. (65) | 2016 | cross-sectional study | 2015 | 236 | >=20 | pap smear, pelvic examination | NA | |||||||
| Iran | Amin, R. et al (66) | 2020 | cross-sectional study | 2016 | 15260 | >=18 | NA | ever screened | |||||||
| Iran | Eghbal, S. B. et al (67) | 2020 | quasi experimental study | 2017 | 80 | 20-65 | pap smear | NA | |||||||
| Iran | Jeihooni, A. K. et al (68) | 2021 | quasi experimental study | 2018 | 150 | All | pap smear | ever screened | |||||||
| Iran | Ghalav et al (69) | 2021 | cross-sectional study | 2019 | 400 | 18-49 | pap smear | ever screened | |||||||
| Japan | Kaso, M. et al (70) | 2019 | cross-sectional study | 2013 | 49217 | 20-39 | NA | last 2 years | |||||||
| Japan | Mizota, Y. and Yamamoto, S. (71) | 2021 | quasi experimental study | 2015 | 64690 | >=20 | NA | ever screened | |||||||
| Japan | Mizota, Y. and Yamamoto, S. (71) | 2021 | quasi experimental study | 2016 | 45927 | >=20 | NA | ever screened | |||||||
| Japan | Mizota, Y. and Yamamoto, S. (71) | 2021 | quasi experimental study | 2017 | 66968 | >=20 | NA | ever screened | |||||||
| Japan | Mizota, Y. and Yamamoto, S. (71) | 2021 | quasi experimental study | 2018 | 52455 | >=20 | NA | ever screened | |||||||
| Korea | Suh, M. et al (72) | 2013 | cross-sectional study | 2012 | 2395 | >=30 | pap smear | lifetime screening rate | |||||||
| Korea | Lee, K. et al (73) | 2022 | cross-sectional study | 2018 | 2759 | 20-74 | NA | last 1 year | |||||||
| Korea | Lee, K. et al (73) | 2022 | cross-sectional study | 2019 | 2756 | 20-74 | NA | last 1 year | |||||||
| Korea | Lee, K. et al (73) | 2022 | cross-sectional study | 2020 | 2743 | 20-74 | NA | last 1 year | |||||||
| Laos | Pengpid, S. and Peltzer, K. (45) | 2014 | cross-sectional study | 2014 | 528 | 18-26 | pap smear | ever screened | |||||||
| Malaysia | Gan, D. E. and Dahlui, M. (74) | 2013 | cross-sectional study | 2013 | 959 | 20-64 | pap smear | every year, once every 2 years, once every 3 years | |||||||
| Malaysia | Chin, S. S. et al (75) | 2022 | cross-sectional study | 2019 | 452 | 18-65 | pap smear | last three years | |||||||
| Nepal | Ranabhat, S. et al (76) | 2014 | cross-sectional study | 2013 | 607 | 35-59 | pap smear | ever screened | |||||||
| Nepal | Acharya Pandey, R. and Karmacharya, E. (77) | 2017 | cross-sectional study | 2014 | 180 | 30-60 | pap smear | NA | |||||||
| Nepal | Ranjit A et al (78) | 2016 | cross-sectional study | 2016 | 829 | 21-65 | pap smear | NA | |||||||
| Nepal | Maharjan, M. et al (79) | 2020 | cross-sectional study | 2017 | 510 | 20-65 | NA | ever screened | |||||||
| Nepal | Shrestha, A. D. et al (80) | 2022 | cross-sectional study | 2019 | 729 | 30-60 | NA | ever screened | |||||||
| Pakistan | Pengpid, S. and Peltzer, K. (45) | 2014 | cross-sectional study | 2014 | 457 | 18-26 | pap smear | ever screened | |||||||
| Pakistan | Javaeed, A. et al (81) | 2019 | cross-sectional study | 2018 | 594 | All | pap smear | ever screened | |||||||
| Pakistan | Riaz, L. et al (82) | 2020 | cross-sectional study | 2019 | 388 | 17-65 | pap smear | NA | |||||||
| Pakistan | Hirani, S. et al (83) | 2021 | cross-sectional study | 2021 | 384 | 15-50 | pap smear | ever screened | |||||||
| Philippines | Pengpid, S. and Peltzer, K. (45) | 2014 | cross-sectional study | 2014 | 385 | 18-26 | pap smear | ever screened | |||||||
| Philippines | Imoto, A. et al (84) | 2020 | cross-sectional study | 2017 | 338 | 20-50 | NA | ever screened | |||||||
| Philippines | Imoto, A. et al (85) | 2020 | cross-sectional study | 2020 | 250 | 20-50 | NA | ever screened | |||||||
| Singapore | Tay, K. et al (86) | 2015 | cross-sectional study | 2013 | 612 | >=25 | NA | in past 3 years | |||||||
| Singapore | Pengpid, S. and Peltzer, K. (45) | 2014 | cross-sectional study | 2014 | 414 | 18-26 | pap smear | ever screened | |||||||
| Singapore | Chan, T. K. et al (87) | 2021 | cross-sectional study | 2015 | 3584 | >=40 | pap smear | every 2 years, every 3 years | |||||||
| Sri Lanka | Shivanthan, M. C. et al (88) | 2014 | cross-sectional study | 2014 | 53 | 25-65 | pap smear | ever screened | |||||||
| Sri Lanka | Arumapperuma et al (89) | 2016 | cross-sectional study | 2016 | 425 | All | NA | ever screened | |||||||
| Taiwan | Chen, S. L. et al (90) | 2014 | cross-sectional study | 2012 | 500 | All | pap smear | ever screened | |||||||
| Thailand | Wongwatcharanukul, L. et al (91) | 2014 | case-control study | 2012 | 547 | 30-60 | NA | ever screened | |||||||
| Thailand | Budkaew, J. and Chumworathayi, B. (92) | 2014 | cross-sectional study | 2013 | 195 | 30-60 | pap smear | within last 5 years | |||||||
| Thailand | Srisuwan, S. et al (93) | 2015 | cross-sectional study | 2014 | 128 | All | NA | ever screened | |||||||
| Thailand | Gottschlich, A. et al (94) | 2019 | cross-sectional study | 2017 | 267 | NA | pap smear | NA | |||||||
| Thailand | Intahphuak, S. et al (95) | 2021 | cross-sectional study | 2018 | 650 | >=30 | pap smear | NA | |||||||
| Vietnam | Lee, H. Y. et al (96) | 2021 | cross-sectional study | 2017 | 192 | 21-39 | pap smear | ever screened | |||||||
Sample size for case-control studies indicates only the sample of healthy controls and those from quasi-experimental studies indicates the sample size of pre-test or before intervention group only, N, total number of studies; NA, Not Available; VIA, Visual Inspection with Acetic acid
Table 2 shows the results of the quality assessment of the cross-sectional and case-control studies (N = 51) and based on the given findings 13 studies were identified as unsatisfactory hence, were excluded from further analysis. All studies excluded were cross-sectional studies which didn’t report the information on comparability across various sub-groups of the population and didn’t control for any possible confounders. Many studies also scored lower for the study selection due to lack of information on sample size calculation and collecting data based on subjective information provided by the respondents (Table 2). The quality assessment of three quasi-experimental studies showed satisfactory results, hence were included in final analysis in this review Supplementary File 2.
Table 2.
Cervical Cancer Screening Rate among ANCCA Member Countries from 2012-2023
| 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | National CSR (year) | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Bangladesh | - | 0.22 | 0.12 | 0.08 | - | - | - | - | - | - | - | 0.09 (2019) (28) |
| 0.16-0.29 | 0.08-0.16 | 0.06-0.10 | ||||||||||
| Cambodia | - | - | - | - | 0.07 | - | - | - | - | - | - | 0.15 (2021-2022) (25) |
| 0.05-0.10 | ||||||||||||
| China | - | 0.23 | 0.047 | 0.26 | - | 0.32 | 0.3 | - | 0.64 | - | - | - |
| 0.22-0.23 | 0.03-0.06 | 0.25-0.26 | 0.29-0.35 | 0.29-0.30 | 0.61-0.67 | |||||||
| India | 0.17 | 0.59 | - | 0.21 | - | 0.13 | - | 0.07 | - | 0.08 | 0.51 | 0.01 (2019-2021) (33) |
| 0.12-0.22 | 0.54-0.64 | 0.21-0.21 | 0.10-0.17 | 0.05-0.09 | 0.06-0.11 | 0.49-0.54 | ||||||
| Indonesia | - | - | 0.24 | - | 0.14 | - | - | - | - | - | - | - |
| 0.21-0.27 | 0.11-0.17 | |||||||||||
| Iran | - | - | 0.32 | - | 0.42 | 0.16 | 0.41 | 0.57 | - | - | - | - |
| 0.27-0.36 | 0.41-0.43 | 0.07-0.25 | 0.31-0.52 | 0.50-0.65 | ||||||||
| Japan | - | 0.4 | - | 0.05 | 0.05 | 0.08 | 0.09 | - | - | - | - | 0.16 (2017) (29) |
| 0.39-0.40 | 0.05-0.05 | 0.05-0.05 | 0.08-0.08 | 0.09-0.09 | ||||||||
| Korea | 0.77 | - | - | - | - | - | 0.2 | 0.22 | 0.2 | - | - | 0.47 (2016) (27) |
| 0.74-0.81 | 0.19-0.22 | 0.20-0.24 | 0.19-0.22 | |||||||||
| Laos | - | - | 0.04 | - | - | - | - | - | - | - | - | - |
| 0.02-0.06 | ||||||||||||
| Malaysia | - | 0.18 | - | - | - | - | - | 0.49 | - | - | - | - |
| 0.16-0.21 | 0.42-0.55 | |||||||||||
| Nepal | - | 0.16 | - | - | 0.05 | 0.18 | - | - | - | - | - | 0.06 (2022) (26) |
| 0.13-0.19 | 0.03-0.06 | 0.14-0.22 | ||||||||||
| Pakistan | - | - | 0.02 | - | - | - | 0.06 | - | - | - | - | - |
| 0.01-0.04 | 0.04-0.08 | |||||||||||
| Philippines | - | - | 0.04 | - | - | 0.14 | - | - | - | - | - | 0.09 (2022) (34) |
| 0.02-0.06 | 0.10-0.18 | |||||||||||
| Singapore | - | - | 0.06 | 0.77 | - | - | - | - | - | - | - | 0.41 (2021) (40) |
| 0.04-0.08 | 0.74-0.80 | |||||||||||
| Sri Lanka | - | - | 0.64 | - | - | - | - | - | - | - | - | - |
| 0.43-0.86 | ||||||||||||
| Taiwan | 0.66 | - | - | - | - | - | - | - | - | - | - | - |
| 0.59-0.73 | ||||||||||||
| Thailand | 0.65 | 0.32 | NA | - | - | 0.82 | - | - | - | - | - | - |
| 0.58-0.72 | 0.24-0.40 | 0.71-0.93 | ||||||||||
| Vietnam | - | - | - | - | - | 0.161 | - | - | - | - | - | - |
CSR, Cervical cancer Screening Rate; -, information Not Available
Table 3 shows the cervical cancer screening rate from 2012 to 2023 in 18 ANCCA member countries however, it was evident from the table that there was no reporting of cervical cancer screening rate every year for all the countries or regions included in this review. We also included the population-based cervical cancer screening rate for countries where some latest government reports like Demographic and Health Survey (DHS) reports, population census reports, etc. was available and only eight ANCCA member countries had national level data reporting the cervical cancer screening rates during our study period. The most recent study exploring the rate of cervical cancer screening in 2015 in Bangladesh showed a rate of 8% [95% CI = (6.0 – 10.0)] which was somewhat consistent with the national statistics of the country in 2019 with a screening rate of about 9% [28]. There was not a single satisfactory study on cervical cancer screening rate from Bhutan, Brunei, and Myanmar. A study from Cambodia reported the rate of screening of 7% in 2016 however, the demographic and health survey (DHS) 2021-2022 reported the cervical cancer screening rate of the country as 15% [25]. In contrary China and Iran showed progressive improvement in the screening rate along the years with about 57.2% SR in 2019 in Iran [95% CI = (50.0-65.0)] and nearly 64% in 2020 in China [95% CI = (61.0-67.0)]. The studies conducted in India showed huge variation in the screening rate with none being close to but higher than the 2019-2021 DHS report of the cervical cancer screening rate i.e. 1% among women in reproductive age group [34]. Nearly 40% of the population were screened in Japan in 2013 however, another study conducted after two years showed a sharp decline to about 5%. Though there was a slight improvement in the subsequent years the screening rates were twice as low as that of the national statistics of 2017 (~16%) [29]. Most of the studies conducted in Korea shows a screening rate of about 20-22% which is almost half than the one reported in the national statistics of 2016 at 47% [27]. Studies conducted in Nepal and the Philippines shows nearly 2-3 times higher screening rates than that of their respective national statistics [26, 35]. There was a dearth of studies from Laos, Malaysia, Sri Lanka, Taiwan, and Vietnam. Singapore and Thailand have huge fluctuations in the screening rates reported in different years (Table 3).
Table 3.
Quality Assessment of the Cross-Sectional and Case-Control Studies (N = 51)
| Country: Authors name | Type of study | Quality Assessment | Total points | ||
|---|---|---|---|---|---|
| Selection | Comparability | Outcome/ Exposure | |||
| Bangladesh: Ferdous, J. et al (20) | Cross-sectional study | ** | ** | *** | 7 |
| Bangladesh & others*: Pengpid, S. and Peltzer, K. (45) | Cross-sectional study | ** | ** | *** | 7 |
| Bangladesh: Islam, R. M. et al (46) | Cross-sectional study | *** | ** | *** | 8 |
| Bhutan: Dhendup, T. and Tshering, P. (47) | Cross-sectional study | * | ** | 3 | |
| Cambodia: Vorn, R. et al (48) | Cross-sectional study | * | ** | 3 | |
| Cambodia: Touch, S. and Oh, J. K. (49) | Cross-sectional study | * | ** | *** | 6 |
| China: Bao, H. et al (50) | Cross-sectional study | *** | ** | *** | 8 |
| China: Zhang, M. et al (51) | Cross-sectional study | *** | ** | *** | 8 |
| China: Li, H. et al (52) | Cross-sectional study | *** | ** | *** | 8 |
| China: Zhang, M. et al (23) | Cross-sectional study | ** | *** | 5 | |
| China: Lin, W. et al (53) | Cross-sectional study | ** | ** | *** | 7 |
| India: Rahman, H. and Kar, S. (54) | Cross-sectional study | * | ** | *** | 6 |
| India: Budukh, A. et al (55) | Cross-sectional study | ** | ** | *** | 7 |
| India: Jeyapaul, S. et al (56) | Cross-sectional study | * | ** | 3 | |
| India: Zhu, C. K. et al (57) | Cross-sectional study | *** | ** | *** | 8 |
| India: Narayana, G. et al (58) | Cross-sectional study | *** | *** | 6 | |
| India: Reichheld, A. et al (59) | Cross-sectional study | *** | ** | *** | 8 |
| India: Sharma, A. et al (60) | Cross-sectional study | *** | ** | *** | 8 |
| India: Menakuru, S. R. and Kalla, S. (61) | Cross-sectional study | ** | *** | 5 | |
| Indonesia: Anwar, S. L. et al (62) | Cross-sectional study | *** | ** | *** | 8 |
| Indonesia: Sumarmi, S. et al (63) | Cross-sectional study | *** | ** | *** | 8 |
| Iran: Aminisani, N. et al (64) | Cross-sectional study | * | ** | *** | 6 |
| Iran: Ahmadipour, H. and Sheikhizade, S. (65) | Cross-sectional study | * | *** | 4 | |
| Iran: Amin, R. et al (66) | Cross-sectional study | *** | ** | *** | 8 |
| Iran: Ghalav et al (69) | Cross-sectional study | ** | ** | *** | 7 |
| Japan: Kaso, M. et al (70) | Cross-sectional study | *** | ** | *** | 8 |
| Korea: Suh, M. et al (72) | Cross-sectional study | *** | *** | 6 | |
| Korea: Lee, K. et al (73) | Cross-sectional study | *** | ** | *** | 8 |
| Malaysia: Gan, D. E. and Dahlui, M. (74) | Cross-sectional study | ** | ** | *** | 7 |
| Malaysia: Chin, S. S. et al (75) | Cross-sectional study | *** | ** | *** | 8 |
| Nepal: Ranabhat, S. et al (76) | Cross-sectional study | * | ** | *** | 6 |
| Nepal: Acharya Pandey, R. and Karmacharya, E. (77) | Cross-sectional study | * | *** | 4 | |
| Nepal: Ranjit, A et al (78) | Cross-sectional study | *** | ** | *** | 8 |
| Nepal: Maharjan, M. et al (79) | Cross-sectional study | *** | ** | *** | 8 |
| Nepal: Shrestha, A. D. et al (80) | Cross-sectional study | * | *** | 4 | |
| Pakistan: Javaeed, A. et al (81) | Cross-sectional study | ** | *** | 5 | |
| Pakistan: Riaz, L. et al (82) | Cross-sectional study | * | *** | 4 | |
| Pakistan: Hirani, S. et al (83) | Cross-sectional study | * | *** | 4 | |
| Philippines: Imoto, A. et al (84) | Cross-sectional study | * | ** | *** | 6 |
| Philippines: Imoto, A. et al (85) | Cross-sectional study | *** | 3 | ||
| Singapore: Tay, K. et al (86) | Cross-sectional study | *** | 3 | ||
| Singapore: Chan, T. K. et al (87) | Cross-sectional study | *** | ** | *** | 8 |
| Sri Lanka: Shivanthan, M. C. et al (88) | Cross-sectional study | ** | ** | *** | 7 |
| Sri Lanka: Arumapperuma et al (89) | Cross-sectional study | * | *** | 4 | |
| Taiwan: Chen, S. L. et al (90) | Cross-sectional study | ** | *** | 5 | |
| Thailand: Wongwatcharanukul, L. et al (91) | Cross-sectional study | ** | *** | 5 | |
| Thailand: Budkaew, J. and Chumworathayi, B. (92) | Case-control study | *** | ** | * | 6 |
| Thailand: Srisuwan, S. et al (93) | Cross-sectional study | *** | 3 | ||
| Thailand: Gottschlich, A. et al (94) | Cross-sectional study | * | ** | *** | 6 |
| Thailand: Intahphuak, S. et al (95) | Cross-sectional study | * | *** | 4 | |
| Vietnam: Lee, H. Y. et al (96) | Cross-sectional study | ** | *** | 5 | |
*, China; Laos, Pakistan, Philippines, Singapore
The pooled estimate of eight countries (Bangladesh, China, India, Iran, Japan, Korea, Nepal, and Thailand) with more than three data points and those identified as satisfactory to very good studies in the quality assessment showed that cervical cancer screening rate is 28% (95% CI: 0.25 - 0.32) in the last ten years. Studies from China and India alone contributed to more than 35% weight of the estimate. Thailand showed the highest estimate of cervical cancer screening at 0.60 (95% CI: 0.33 -0.87) followed by Iran [0.38, 95% CI = (0.29-0.47)] in last decade. There is huge variation in screening rate among these countries even those within the same regions. India from South-Asia showed 28% (95% CI: 0.15 - 0.42) cervical cancer screening rate however, other countries from the same region: Bangladesh and Nepal, showed a screening rate of 13% from 2012 - 2022. Similarly, Korea and China from East-Asia had a screening rate of 35% (95% CI: 0.18-0.52) & 29% (95% CI: 0.25 - 0.34) respectively which was more than double than that of Japan [0.13, 95% CI = (0.07 – 0.19)] (Figure 1). Publication bias based on the observation of the funnel plot was minimal (Figure 2).
Figure 1.
Meta-Analysis of the Rate of Cervical Cancer Screening in Asia
Figure 2.
Funnel plot
Discussion
This systematic review and meta-analysis identified the proportion of cervical cancer screening across Asian regions or countries who are the members of ANCCA from 2012 to 2023. It was interesting to note that the rate of screening is below 30% within this decade in Asia. The study identified huge disparities across and within countries regarding the cervical cancer screening.
The national cervical screening program of WHO reported the screening rate of maximum of 70% in Brunei and the WHO STEPS survey report from Bhutan reported 54.4% screening rate in 2019 [36, 37]. However, we didn’t find any relevant studies exploring the cervical cancer screening rate in these countries in the community or population level. Even though the National Cervical Cancer Screening and Prevention Program has been implemented in Myanmar since 2019 [38] there were no studies conducted regarding CCS to explore the implementation status of the program. Hence, scaling up of national and government projects for cervical cancer screening is necessary in these countries. The evidence regarding community and population-based CCS rate was limited in almost all countries included. Some countries like Bangladesh has started the HPV vaccination program recently in 2023 as their national strategy to prevent cervical cancer [39] and hence, there might be an increase in the screening rate in the future. But, for most other developing countries like Laos, Malaysia, Pakistan, Sri Lanka, Taiwan, and Vietnam the evidence were limited on cervical cancer screening.
Studies from India, Nepal, Singapore, and Cambodia showed huge within country-level variation in cervical cancer screening rate which were not even close to their corresponding national statistics. For example: the rate obtained from various parts of India was 7-59 times than cervical cancer screening rate reported in their National Family Health Survey (NFHS-5) 2019-21 [34]. Similarly, the 2010 National Guideline for Cervical Cancer Screening and Prevention of Nepal aimed to screen at least 50% of the women aged 30-60 years however, by 2022 only about 6% women were screened but only one study included in this review showed somewhat similar rate of screening [40, 26]. Likewise, two studies identified from Singapore had a difference of about 71% in their reported cervical cancer screening rate which was also quite different than their national statistics [41]. The Cambodia Demographic and Health Survey in the year 2021-22 reported a cervical cancer screening rate of about 15% which was more than double than that observed in our included study [25]. Hence, there is a huge uncertainty on the generalizability of the findings obtained from the individual studies conducted in these countries.
Furthermore, there are some existing disparities in accessibility and utilization of cervical cancer screening services within and across various regions in Asia. A global study identified the coverage of cervical cancer screening based on Sustainable Development Goal (SDG) regions of Asia to be lowest in Western Asia (4.1%) followed by Central and Southern Asia (10.2%) and highest in Eastern and South-Eastern Asia (44.4%) in 2019 among women aged 30-49 years [42]. The results of this review were also coherent with this finding as countries in east and south-east Asia like China, Korea, and Thailand had higher cervical cancer screening rate than the others. However, Japan showed some exception, the cervical cancer screening participation rate in the most recent years were lower but the study conducted in 2013 had almost similar rate as reported in the Comprehensive Survey of Living Conditions 2019 (43%) [43]. Meanwhile, there were fewer studies which identified the cervical cancer screening rate after 2019. This could be because of covid-19, as most of these countries were affected by the pandemic and the restrictions applied in many countries to constrain the coronavirus pandemic might have affected the available health care services including the cancer screening services [44]. The health care systems were not resilient enough to tackle the effects of pandemic [45]. Hence, along with the existing challenges, an additional challenge to revert the rate of cervical cancer screening to the rate before the pandemic in the following years is to be considered for all these countries. It is important to promote research in the community and national level and develop a cancer screening database in many ANCCA member countries. This could help to identify challenges and strengthen the existing policies on cervical cancer screening to reduce the incidence and mortality related to cervical cancer in the future.
The strengths of this study are, we were able to review 54 articles reporting the cervical cancer screening rate from 2012 – 2023 in various ANCCA member countries or regions in Asia and compare them with their national statistics. We were able to show the descriptive background of the studies and obtained a pooled estimate from eight countries. However, due to the unavailability of enough data points very few studies were included in the meta-analysis. Similarly, due to the lower sample size, lesser comparability and high within country variation we were not able to conclude the trend of the cervical cancer screening even though there were enough data points available for some of the countries to perform trend analysis. Lastly, the generalizability of study findings should consider the difference in between observed screening rate and national level statistics of corresponding countries and the possible recall bias imposed by the nature of the maximum number of cross-sectional studies included on this review. However, despite of this limitation we were able to discuss the situation of cervical cancer screening in the national and community level in various Asian countries or region in the last decade.
In conclusions, cervical cancer is one of the major causes of cancer-related mortality among women in many Asian countries. However, there is lack of evidence on actual rate of cervical cancer screening in those countries and often the screening rate is based on opportunistic screening. Most ANCCA countries do not have sufficient studies conducted on cervical cancer screening and additionally, many countries lack nationally representative surveys or national level cancer registries. The community level studies show high variation in the screening rate due to the selection bias and poor methodology even though conducted in a same country. The coronavirus pandemic also had some adverse effect in the health service delivery including screening services in most of the countries in last few years. It is crucial to encourage governments and private sector to strengthen capacity and work in collaboration to enhance cervical cancer screening rate in their respective countries.
Author Contribution Statement
Conceptualisation AKB; Data curation AKB, ZW, RP, MM; Formal analysis: AKB; Funding acquisition SKA; Investigation AKB; Methodology AKB, ZW, RP, MM; Project administration AKB, ZW, RP, MM, TM, SKA; Resources AKB; Software AKB SKA; Supervision TM, SKA; Validation AKB; Visualisation AKB; Writing- original draft AKB; Writing- review and editing AKB, ZW, SKA. All authors have read and approved the final manuscript.
Acknowledgements
Funding
This study was supported by the National Cancer Center Research and Development Fund (2022-A-21). No relevant conflicts of interest exist.
If it was approved by any scientific Body/ if it is part of an approved student thesis
The study was not approved by any scientific body or is not a part of an approved student thesis.
Availability of data
The data utilized in this scoping review are readily available on online databases.
Registration
The scoping review has been registered in PROSPERO with the registration ID: CRD42023401516.
Competing interests
None to declare. The authors have no potential financial, personal, or other conflicts of interests.
Ethical approval
This study utilized information from preexisting literatures hence, ethical approval was not obtained.
Abbreviations
ANCCA: Asian National Cancer Centres Alliance, CC: Cervical Cancer, CCS: Cervical Cancer Screening, CI: Confidence Interval, DHS: Demographic and Health Survey, HPV: Human Papilloma Virus, IARC: International Agency for Research on Cancer, LMIC: Low-middle-income countries, NCD: Non-Communicable Disease, RCT: Randomized Controlled Trail, WHO: World Health Organization
Supplementary materials
Checklist For Quasi-Experimental Studies
References
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Checklist For Quasi-Experimental Studies
Data Availability Statement
The data utilized in this scoping review are readily available on online databases.


