Literature DB >> 28030908

Improved Survival of Cervical Cancer Patients in a Screened Population in Rural India

Kasturi Jayant1, Rengaswamy Sankaranarayanan, Ranjit V Thorat, Richard Muwonge, Sanjay J Hingmire, Nandkumar S Panse, Surendra S Shastri, Sylla G Malvi, Bhagwan Nene.   

Abstract

Objectives: To describe the survival experience of cervix cancer patients in a screened rural population in India.
Methods: Included 558 cervical cancer patients diagnosed in 2000-2013 in a cohort of 100,258 women invited for screening during 2000-2003. The primary end point was death from cervical cancer. We used the Kaplan-Meier method to estimate cumulative observed survival and Cox proportional hazards regression to assess the effect of patient characteristics on survival after diagnosis.
Results: Of the 558 cases included, 143 (26%) and 114 (20%) were diagnosed in stages IA and IB respectively; 252 (45.2%) were dead, and 306 (54.8%) were alive at the last follow-up. The overall 5-year observed survival was 60.5%. The 5-year survival of stage IA patients was 95.1% and 5.3% for stage IV patients. All surgically treated stage IA patients, 94.1% of stage IB patients receiving intracavitary radiotherapy, 62% of stage IIB, 49% of stage III and 25% of stage IV patients receiving radiotherapy survived for 5 years.
Conclusion: Higher 5-year survival in our study than elsewhere in India is due to the high proportion of early stage cancers detected by screening combined with adequate treatment, resulting into a favourable prognosis. Creative Commons Attribution License

Entities:  

Keywords:  Survival; cervical cancer; developing countries

Year:  2016        PMID: 28030908      PMCID: PMC5454683          DOI: 10.22034/APJCP.2016.17.11.4837

Source DB:  PubMed          Journal:  Asian Pac J Cancer Prev        ISSN: 1513-7368


Introduction

Cervical cancer is an important public health problem in India, where 123,000 new cases and 68,000 deaths are estimated to occur annually, accounting for one fifth of cancers in women in India (Ferlay et al., 2013). Despite the fact that India contributes one-fifth of global burden of disease, there are no cervical screening programs on-going in the country except in the state of Tamil Nadu and public health policies aiming at effective integration of screening and vaccination for human papillomavirus (HPV) are yet to evolve in any region of India. More than four-fifths of cervical cancer patients in India present in advanced clinical stages with less than half of the cases surviving 5-years (Sankaranarayanan et al., 2010; Sankaranarayanan and Swaminathan 2011). Integrated HPV vaccination of girls aged 9-14 years and effective screening programs through the early detection of high-grade cervical intraepithelial neoplasia (CIN 2-3) and their effective treatment leading to prevention of invasive cancer is the cornerstone of cervical cancer control. Five-year survival from cervical cancer varies between 35% and 60% in different regions of India (Sankaranarayanan et al., 2010; Gajalakshmi et al., 2000; Jayant et al., 1996; Yeole et al., 2004; Shanta et al., 1998; Nandakumar et al., 1998; Jayant et al., 1998; Swaminathan et al., 2009). Three main factors influence the magnitude of survival rates in cohorts of cervical cancer patients: 1) the relative proportion of patients with early vs. advanced disease, 2) the age distribution of patients, and 3) access to diagnostic and treatment facilities and availing the main treatment modalities, namely surgery, radiotherapy and chemotherapy and their combinations integrated in specific protocols. Clinical stage at presentation is a very important predictor for long-term survival. Five-year survival exceeds 90% for early stages such as stage IA and IB whereas less than 20% of those diagnosed with advanced disease such as stages III and IV survive for 5 years (Sankaranarayanan et al., 2010; Yeole et al., 2004; Shanta et al., 1998; Nandakumar et al., 1998; Jayant et al., 1998; Swaminathan et al., 2009). Lack of early detection initiatives, poor awareness among physicians and the public, advanced clinical disease at diagnosis and inadequate access to treatment are the main reasons for the poor survival in the different regions (Sankaranarayanan et al., 2010; Yeole et al., 2004; Shanta et al., 1998; Nandakumar et al., 1998; Jayant et al., 1998; Swaminathan et al., 2009). The prognostic value of stage at presentation may vary in different populations due to other determinants such as socio-economic factors, age at presentation (general health, competing morbidity), availability, accessibility and affordability of effective treatment and varying adherence to prescribed treatment and follow-up care. We describe in this manuscript the survival experience of a cohort of cervical cancer patients diagnosed in women invited for screening in a randomized cervical cancer screening trial carried out in Osmanabad district, Maharashtra state in Western India (Sankaranarayanan et al., 2009).

Materials and methods

Study design

The survival study was conducted in the context of the cluster randomized controlled trial carried out in Osmanabad district, Maharashtra State, India (hereafter referred to as the trial) to evaluate the effectiveness of a single round of screening with visual inspection with acetic acid (VIA), or conventional cytology (Pap smear), or human papilomavirus (HPV) testing in reducing cervical cancer mortality as compared to a control group receiving usual care (Sankaranarayanan et al., 2009). The study design, methods and results of the trial have already been published (Sankaranarayanan et al., 2009). In this trial, 131,746 eligible women aged 30-59 years living in 52.0 clusters were enrolled and were randomly allocated to four groups: the control group receiving usual existing care (13 clusters, 31,488 women), HPV testing group screened with a single round of HPV screening (13 clusters, 34,126 women), VIA group screened with single round of visual screening (13 clusters, 34,074 women) and the cytology group receiving a single Pap smear (13 clusters, 32,058 women). Women in the control group as well as all women invited for screening were educated on signs and symptoms of cervical cancer, early detection and prevention and were advised on how and where to avail of screening, early diagnosis and treatment services in the district. The women in the groups allocated to screening were invited for testing during 2000-2003 and women tested positive were offered diagnostic investigations consisting of colposcopy triage, directed biopsies of colposcopically abnormal lesions and those diagnosed with CIN and invasive cervical cancer were offered treatment. The study cohorts were followed-up for cervical cancer incidence and death. The eligible cases for this survival study include all cervical cancer patients diagnosed with cervical cancer (International Classification of Diseases for Oncology 10th revision, C53) between the years 2000 and 2013 among the three cohorts of women who were invited to be screened by HPV testing, VIA or cytology in the trial (in total, 100,258 women aged 30-59 years at study entry) 79,506 (79.3%) of the invited women received screening. Women diagnosed with cervical cancer following screening tests or symptoms and clinical diagnosis were staged and treated in the Nargis Dutt Memorial Cancer Hospital (NDMCH), Barshi, which coordinated the screening trial, or in a cancer hospital or other tertiary hospitals in the region. Clinical stage at presentation of patients was assessed by pelvic examination, bimanual palpation, cystoscopy, ultrasonography of the pelvis, x-rays of the pelvis and chest. The clinical stages were categorized according to the stage categories of the International Federation of Gynaecology and Obstetrics (FIGO) staging system as stage IA, IB, IIA, IIB, IIIA, IIIB, IVA, IVB (Benedet et al., 2000). If no staging details were available, the stage was recorded as unknown by us. Histological type of tumour was categorized as squamous cell carcinoma or adenocarcinoma. Age at diagnosis was grouped into five-year age groups. Formal education of the participants was categorized as none, primary school and above primary. Patients in good general health with stage IA tumours were predominantly treated with radical or simple hysterectomy. Patients with stages IB and IIA disease in good general health and without competing morbidity received radical hysterectomy or intracavitory radiotherapy, whereas those with bulky disease and poor surgical risks were treated with a combination of external radiotherapy and intracavitary radiation; concurrent chemotherapy with weekly cisplatinum. To a maximum of 3-5 courses was administered if the patients were in good general health. Patients with stages IIB, III and IV disease were predominantly treated with a combination of external radiotherapy and intracavitary radiotherapy with or without concurrent chemotherapy with cisplatinum. The type of treatment offered was categorized into surgery, radiotherapy, a combination of treatments and treatment details not known. Information on incident cervical cancer cases in the study cohorts and their vital status was regularly updated by the staff of the screening trial, as part of the continuing evaluation of the impact of the single round of screening with the different screening tests, by matching the incident cervical cancer cases registered by the Osmanabad district population-based cancer registry and by matching with death records kept by the district mortality registration system, scrutiny of hospital records and by conducting house visits in the villages included in the study to collect information on proven/likely cancer cases which might have been missed by the cancer and mortality registries. The Osmanabad district cancer registry uses active case finding methods recommended by the International Agency for Research on Cancer (IARC) and the International Association of Cancer Registries (IACR) (Jensen et al., 1991) and covers the resident population of the entire district. The registry staff members regularly visit hospitals and diagnostic centres within and outside the registry area, all primary health centres within the registry area, and the cancer treatment centres in Mumbai, Pune and Aurangabad to actively collect information on cancer cases diagnosed in the resident population of Osmanabad district. Cause of death for each death was assessed case-by-case by the cancer registry staff by taking into account the information from hospital records, death certificates, house visits and interviewing relatives/friends. Information on the incident cervical cancer cases in the screening cohort of women (100,258 women aged 30-59 years at entry) and their vital status were abstracted from the screening study database. The primary endpoint was death from cervical cancer. The vital status of all included patients was established as dead or alive or lost to follow-up on 31st December 2013. Survival time was defined from the date of diagnosis to date of death, for the patients who had died, or date of last follow-up for those who were still alive or lost to follow-up. Cumulative observed survival was estimated using the Kaplan-Meier method and Cox proportional hazards regression was used to assess the effect of patient characteristics on patient survival after diagnosis. Only those variables significant in the univariate analysis were included in the multivariate regression model.

Results

There were 558 women diagnosed with invasive cervical cancer during 2000-2013 from among 100,258 women randomized to receive a single round of one of the screening tests in the trial. The patient characteristics, vital status and hazard ratios (relative risk) for death in terms of age, household income, education, histology, clinical stages and treatment received are given in Table 1. Three-fourths of the patients had no formal education, half were diagnosed in stage I, almost all cases had squamous cell carcinoma and one-third of patients were treated by surgery only. The proportion of cases in stage I was higher in HPV and cytology arms compared to the VIA arm. Of the 163 cases diagnosed in the HPV screening arm, 87 (53%) were diagnosed in stage I; among the 180 cases in the cytology arm, 91 (51%) cases and among the 215 cases in the VIA arm, 79 cases (37%) were diagnosed in stage I. By 31st December 2013, the cut off date for follow-up of vital status in the study, 252 (45.2%) patients were dead, 306 (54.8%) were alive and none were lost to follow-up. The median follow-up time of the cancer patients was 5.3 years (interquartile range: 1.3-11.2 years).
Table 1

Patient Characteristics and Relative Risk of Death from Cervical Cancer

CharacteristicsNo. of patientsNo. of deaths (%)Crude ratiohazard (95%CI)Adjusted ratiohazard (95%CI)*
Patients assessed558252-45.2
Age at diagnosis (years)
 30-34365-13.91.01.0
 35-398042-52.55.3(2.113.3)4.2(1.610.9)
 40-4410644-41.54.4(1.711.2)3.2(1.28.3)
 45-4911463-55.36.4(2.615.9)4.6(1.811.7)
 50-5410343-41.84.7(1.911.9)2.9(1.17.5)
 55+11955-46.25.3(2.113.1)3.1(1.28.1)
Education
 None389165-42.41.0
 Primary5721-36.80.8(0.51.3)
 Above primary5421-38.90.9(0.51.4)
Type of house
 Thatched16166-41.01.0
 Tiled311134-43.11.1(0.81.5)
 Concrete5224-46.21.3(0.82.1)
Income (Indian rupees)**
 <2000333147-44.11.0
 2000+19177-40.30.9(0.71.2)
Marital status
 Currently married428167-39.01.0
 Not currently married6232-51.61.6(1.12.3)
Total number of pregnancies
 None4430-68.21.01.0
 01-Mar15252-34.20.3(0.20.5)0.6(0.41.0)
 4+329143-43.50.4(0.30.6)0.7(0.51.1)
Histology
 Squamous cell carcinoma536238-44.41.01.0
 Adenocarcinoma2214-63.62.5(1.44.2)1.8(0.93.4)
FIGO stage
 IA14329-20.31.01.0
 IB11434-29.81.8(1.13.0)1.7(0.92.9)
 IIA3316-48.55.6(3.010.4)5.6(2.811.0)
 IIB5632-57.14.5(2.77.4)4.6(2.478.5)
 III12388-71.57.8(5.111.9)6.3(3.610.9)
 IV1918-94.730.4(16.655.4)28.6(13.759.8)
 Stage details not known7035-50.06.1(3.710.0)2.9(1.65.5)
Treatment
 Surgery16128-17.41.01.0
 Radiotherapy14475-52.14.1(2.66.3)0.9(0.51.7)
 Combination6927-39.13.0(1.85.1)1.4(0.82.6)
Treatment details not known184122-66.37.9(5.211.9)3.2(1.95.5)

CI, confidence interval;

Adjusted on characteristics significant on the univariate analysis;

1 US dollar ≈ 45 rupees in 2,000

Patient Characteristics and Relative Risk of Death from Cervical Cancer CI, confidence interval; Adjusted on characteristics significant on the univariate analysis; 1 US dollar ≈ 45 rupees in 2,000 The risk of death was significantly increased in women with adenocarcinoma compared to those with squamous cell carcinoma in the multivariate model (hazard ratio (HR) = 1.1; 95% CI = 0.9-3.4) (Table 1). As expected, stage at diagnosis was the strongest predictor of the survival outcome with increased risk of death observed for advanced stage at diagnosis; the HR of death for stage III and IV disease were 6.3 (95% CI:3.6-10.9) and 28.6 (95% CI:13.66-59.8), respectively as compared to stage IA disease (Table 1). The stage-specific Kaplan Meier survival curves for the cervical cancer patients are shown in Figure 1.
Figure 1

Survival from Cervical Cancer

Survival from Cervical Cancer The overall 5-year observed survival was 60.5%. The observed 1-, 3- and 5-year survival estimates for different histology types and stages by the different patient characteristics that were significant independent predictors of survival in the multivariate analysis are given in Table 2. Marked declines in survival were observed for women presenting with advanced stage at diagnosis and those with adenocarcinoma. The 5-year survival of patients with stage IA disease was 95.1% and patients for stage IV was 5.3%. The 5-year survival of adenocarcinoma cases was 16.6% (based on 22 cases only) as opposed to 61.9% for squamous cell carcinoma. Of the 22 cases of adenocarcinoma, 8 were diagnosed in the HPV arm, 9 in the cytology and 5 in the VIA arm.
Table 2

1-, 3- and 5-Year Survival Rates of Cervical Cancer Patients

CharacteristicsNumber of casesObserved survival (%)
1-year3-year5-year
Patients assessed55882.468.060.5
Cancer type
 Squamous cell carcinoma53682.668.861.9
 Adenocarcinoma2275.746.616.6
Stage
 IA14399.397.995.1
 IB11493.783.575.8
 IIA3372.046.946.9
 IIB5682.158.348.8
 III12371.239.929.8
 IV1910.510.55.3
 Stage details not known7071.659.837.5
Treatment
 Surgery16198.196.892.9
 Radiotherapy14485.263.055.5
 Combination6988.172.363.8
 Treatment details not known18464.144.733.0
1-, 3- and 5-Year Survival Rates of Cervical Cancer Patients Five-year observed survival rates by different treatment modalities for each stage category are given in Table 3. The 5-year survival rates of stage IA patients, who received radical surgery, were 100% and of stage IB patients, receiving intracavitary radiotherapy were 94.1%; 62% of stage IIB, 49% of stage III and 25% of stage IV patients receiving radiotherapy survived for 5 years.
Table 3

Number of Cervical Cancer Patients and 5-Year Observed Survival by Stage of Disease and Type of Treatment Offered

FIGO stageTreatmentNumber5-year survival (%)
IARadical hysterectomy only68100
Simple hysterectomy only3393.9
Combination of surgery/radiotherapy/chemotherapy2095
Treatment details not known2281.6
All treatment modalities including combination and treatment details not known14395.1
IBRadical hysterectomy only5582.1
Intracavitary radiotherapy only1794.1
External beam radiotherapy plus intracavitary radiotherapy only940
Combination of surgery/radiotherapy/chemotherapy1566.7
Treatment details not known1864.9
All treatment modalities including combination and treatment details not known11475.8
IIARadical hysterectomy only5100
External beam radiotherapy plus intracavitary radiotherapy only1063.5
Combination of surgery/radiotherapy/chemotherapy785.7
Treatment details not known11-
All treatment modalities including combination and treatment details not known3346.9
IIBExternal beam radiotherapy plus intracavitary radiotherapy only3761.8
Combination of surgery/radiotherapy/chemotherapy6-
Treatment details not known1328.9
All treatment modalities including combination and treatment details not known5648.8
IIIExternal beam radiotherapy plus intracavitary radiotherapy only5848.6
Combination of surgery/radiotherapy/chemotherapy1523.5
Treatment details not known507.5
All treatment modalities including combination and treatment details not known12329.8
IVExternal beam radiotherapy plus intracavitary radiotherapy only425
Combination of surgery/radiotherapy/chemotherapy4-
Treatment details not known11-
All treatment modalities including combination and treatment details not known195.3
Stage details not knownCombination of surgery/radiotherapy/chemotherapy1153
Treatment details not known5935
All treatment modalities including combination and treatment details not known7037.5
All casesRadical hysterectomy only12892.6
Simple hysterectomy only3393.9
Intracavitary radiotherapy only1794.1
External beam radiotherapy plus intracavitary radiotherapy only11852.6
Combination of surgery/radiotherapy/chemotherapy7858.4
Treatment details not known18433
All treatment modalities including combination and treatment details not known55860.5
Number of Cervical Cancer Patients and 5-Year Observed Survival by Stage of Disease and Type of Treatment Offered

Discussion

The cohort of cervical cancer patients in our study is unique given that they are from a screened population and that more than half have been diagnosed in early stages and the treatment details were known for 67% of the patients. More than four-fifths of the women population from which these cases occurred was exposed to a single round of screening with HPV testing, VIA or cytology, leading to a higher proportion of cases being diagnosed in early stages when treatment is more effective as compared to populations receiving routine care. A large proportion of cancer cases were diagnosed in stage IA before the symptoms occurred, providing considerable lead time leading to improved survival and cure. Participation in the screening trial provided equitable access to women belonging to the different socio-economic categories (indicated by household income, education and type of house) for diagnosis, treatment and follow-up care. We report a higher 5-year survival for cervical cancer in our cohort of women due to the above factors, as compared to the survival rates reported from other population-based cohorts of cervical cancer patients in India (Table 4). Five-year observed survival ranged between 33.1% and 54% for cervical cancer patients of all ages diagnosed during 1990-1999 in other urban and semi-urban populations in India such as Dindigul district (Swaminathan et al., 2009), Karunagappally (Jayalekshmi et al., 2011), Chennai (Swaminathan et al., 2011), Mumbai (Yeole et al., 2011) and Bhopal (Dikshit et al., 2011). Furthermore, the observed survival in our current patient cohort was two times higher than the corresponding experience in a neighbouring area around Barshi (Jayant et al., 2011). The Barshi Rural Cancer Registry reported a five-year survival of 32.2% for cervical cancer based on 406 patients of all ages diagnosed during 1993-2000 (Jayant et al., 2011) (Table 4). In the control arm of the current trial, in which women received health education and better than existing healthcare, we observed a five-year survival of 43.2% (192 cases). The survival experience with the control group of our trial was similar to that observed in the populations in Mumbai (Yeole et al., 2011) and Karunagappaly (Jayalekshmi et al., 2011) in India. Compared to the survival experience reported from low-income countries in Sub-Saharan Africa such as The Gambia (Bah et al., 2011), Uganda (Wabinga et al., 2011) and Zimbabwe (Chokunonga et al., 2011) and low middle-income countries such as Thailand (Sumitsawan et al., 2011) and the Philippines (Laudico and Mapua 2011), the survival observed by us in the screened population was much higher. The survival experience of patients with unknown staging details indicates that most of them are likely to have advanced stage III disease in view of their similar survival (30% vs. 38% 5-year survival) experience (Table 2).
Table 4

Proportion of Localized Disease Stage and 5-Year Observed Survival Rates in This Study and Different Populations in India and Asia

PopulationYearsNo. of total casesProportion of Cases in Localized stage5-year absolute survival
This study
 Patients assessed in screening group2000-2013558.046.160.5
 Women in the control group2000-2013192.020.343.2
India*
 Barshi, Paranda and Bhum1993-200040612.632.2
 Bhopal1991-199533228.333.1
 Chennai1990-19994,4386.454.0
 Karunagappally1991-199717015.346.7
 Mumbai1992-19994,43627.942.2
 Dindigul District2003223-35.0
Philippines*
 Manila1994-199537721.534.0
 Singapore*1993-199798445.559.9
Thailand*
 Chiang Mai1993-199788526.158.8
 Khon Kaen1993-199755417.353.3
 Lampang1990-20001,07931.262.6
Songkhla1990-199978022.360.4

All before the screening was undertaken (Registry data)

Proportion of Localized Disease Stage and 5-Year Observed Survival Rates in This Study and Different Populations in India and Asia All before the screening was undertaken (Registry data) Improvements in cervical cancer survival observed in most developed countries can be ascribed to the success of screening programs, greater awareness among physicians and the public of the signs and symptoms of the disease and to improvements in multimodality therapy for different stages of disease (Ries et al., 2008; Berrino et al., 2007; Ponten et al., 1995). The higher survival observed in our screened cohort of women in rural India is mainly due to earlier detection and improved access to treatment. The survival outcomes in stage IIA and stage IIB disease in our study was similar indicating possible misclassification between these two stages. Our results confirm that FIGO stages are strongly correlated with survival outcome and early stages of the disease are associated with an exceptionally favourable prognosis provided they are adequately treated whereas survival for stage III and IV cancers were dismally low. It also proves that among all determinants to assess the overall prognostic outlook of a cervical cancer patient and to plan the treatment, clinical stage is by far the most important variable, although the clinical stage is largely a function of time elapsed since onset of the disease, rather than an indicator of the biological aggressiveness of cervical cancer. The relative risks of death from cervical cancer increased and survival rates declined steadily for advanced stage categories. Treatment modalities in our study varied with the clinical extent of cancer but, most importantly, were also dependent on clinico-pathological profiles such as barrel shaped cervix, a patient’s age, general health and presence of other medical conditions. In our study, 61% of the early stage (stage I) cervical cancer patients received surgery alone and an additional 24% received either radiotherapy alone or a combination of treatments resulting in an observed 5-year survival exceeding 90%, which confirms the clinical importance of diagnosing cervical cancers at an early stage and treating them adequately. Treatment details were not available for 184 patients; however, the high survival for stage I patients with unknown treatment details indicates that they may have been treated elsewhere and we failed to get those treatment details. On the other hand, the very low or no survival at 5.0 years for those with advanced cancers not having treatment details indicates that those patients may have dropped out of treatment. The significant number of patients with unknown treatment details even in a controlled setting like ours with committed inputs indicates that the proportion of patients with inadequate treatment should be high in routine healthcare settings in India. Our study, like in several previous studies (Ries et al., 2008; Berrino et al., 2007; Movva et al., 2008; Kosary 1994; Chen et al., 1999), has demonstrated poor survival for women diagnosed with adenocarcinoma compared with those diagnosed with squamous cell carcinoma. The 3-year observed survival was 47% for adenocarcinomas and 69% for squamous cell carcinomas. A similar trend was observed in a previous study showing the 5-year relative survival figures as 55% and 67%, respectively (Kosary 1994). It is well established that adenocarcinomas are inadequately prevented by screening. We could not ascertain the influence of the grades of differentiation for squamous cell carcinomas as this information was not available for most cases. Our results further demonstrate that poor survival is explained largely by advanced disease stage at diagnosis and histological category of tumour. It is important for public health officials and policy makers to improve access to early detection services in low- and medium-resource rural areas that would result in equitable survival for all women diagnosed with cervical cancer.

Conflict of interest

All authors have no conflict of interest.
  12 in total

1.  FIGO staging classifications and clinical practice guidelines in the management of gynecologic cancers. FIGO Committee on Gynecologic Oncology.

Authors:  J L Benedet; H Bender; H Jones; H Y Ngan; S Pecorelli
Journal:  Int J Gynaecol Obstet       Date:  2000-08       Impact factor: 3.561

2.  Influence of histologic type and age on survival rates for invasive cervical carcinoma in Taiwan.

Authors:  R J Chen; Y H Lin; C A Chen; S C Huang; S N Chow; C Y Hsieh
Journal:  Gynecol Oncol       Date:  1999-05       Impact factor: 5.482

3.  A survival study of cervical cancer in Chennai, India.

Authors:  V Gajalakshmi; S Rajaraman; V Shanta
Journal:  Indian J Cancer       Date:  2000-12       Impact factor: 1.224

4.  Cancer survival in Africa, Asia, and Central America: a population-based study.

Authors:  Rengaswamy Sankaranarayanan; Rajaraman Swaminathan; Hermann Brenner; Kexin Chen; Kee Seng Chia; Jian Guo Chen; Stephen C K Law; Yoon-Ok Ahn; Yong Bing Xiang; Balakrishna B Yeole; Hai Rim Shin; Viswanathan Shanta; Ze Hong Woo; Nimit Martin; Yupa Sumitsawan; Hutcha Sriplung; Adolfo Ortiz Barboza; Sultan Eser; Bhagwan M Nene; Krittika Suwanrungruang; Padmavathiamma Jayalekshmi; Rajesh Dikshit; Henry Wabinga; Divina B Esteban; Adriano Laudico; Yasmin Bhurgri; Ebrima Bah; Nasser Al-Hamdan
Journal:  Lancet Oncol       Date:  2009-12-10       Impact factor: 41.316

5.  Population-based survival from cancers of breast, cervix and ovary in women in Mumbai, India.

Authors:  Balkrishna Bhika Yeole; A Venkata Ramana Kumar; Arun Kurkure; Lizzy Sunny
Journal:  Asian Pac J Cancer Prev       Date:  2004 Jul-Sep

6.  Cancer pattern and survival in a rural district in South India.

Authors:  Rajaraman Swaminathan; Ramanujam Selvakumaran; Pulikattil Okkuru Esmy; P Sampath; Jacques Ferlay; Vinoda Jissa; Viswanathan Shanta; Mary Cherian; Rengaswamy Sankaranarayanan
Journal:  Cancer Epidemiol       Date:  2009-10-22       Impact factor: 2.984

Review 7.  FIGO stage, histology, histologic grade, age and race as prognostic factors in determining survival for cancers of the female gynecological system: an analysis of 1973-87 SEER cases of cancers of the endometrium, cervix, ovary, vulva, and vagina.

Authors:  C L Kosary
Journal:  Semin Surg Oncol       Date:  1994 Jan-Feb

8.  HPV screening for cervical cancer in rural India.

Authors:  Rengaswamy Sankaranarayanan; Bhagwan M Nene; Surendra S Shastri; Kasturi Jayant; Richard Muwonge; Atul M Budukh; Sanjay Hingmire; Sylla G Malvi; Ranjit Thorat; Ashok Kothari; Roshan Chinoy; Rohini Kelkar; Shubhada Kane; Sangeetha Desai; Vijay R Keskar; Raghevendra Rajeshwarkar; Nandkumar Panse; Ketayun A Dinshaw
Journal:  N Engl J Med       Date:  2009-04-02       Impact factor: 91.245

9.  Racial differences in cervical cancer survival in the Detroit metropolitan area.

Authors:  Sujana Movva; Anne-Michelle Noone; Mousumi Banerjee; Divya A Patel; Kendra Schwartz; Cecilia L Yee; Michael S Simon
Journal:  Cancer       Date:  2008-03-15       Impact factor: 6.860

10.  Improved survival in cervical cancer cases in a rural Indian population.

Authors:  K Jayant; R S Rao; B M Nene; P S Dale; A Nandakumar
Journal:  Br J Cancer       Date:  1996-07       Impact factor: 7.640

View more
  9 in total

1.  Prevalence and determinants of cervical cancer screening in five sub-Saharan African countries: A population-based study.

Authors:  Djibril M Ba; Paddy Ssentongo; Jonah Musa; Edeanya Agbese; Brehima Diakite; Cheick Bougadari Traore; Steve Wang; Mamoudou Maiga
Journal:  Cancer Epidemiol       Date:  2021-03-20       Impact factor: 2.890

2.  Indicators of survival and prognostic factors in women treated for cervical cancer at a tertiary care center in Saudi Arabia.

Authors:  Nisreen Anfinan; Khalid Sait
Journal:  Ann Saudi Med       Date:  2020-02-06       Impact factor: 1.526

3.  Survival status and associated factors of death among cervical cancer patients attending at Tikur Anbesa Specialized Hospital, Addis Ababa, Ethiopia: a retrospective cohort study.

Authors:  Mulugeta Wassie; Zeleke Argaw; Yosief Tsige; Mesfin Abebe; Sezer Kisa
Journal:  BMC Cancer       Date:  2019-12-16       Impact factor: 4.430

4.  Factors Affecting Survival Outcome After Percutaneous Nephrostomy as Palliative Urinary Diversion in Obstructive Uropathy due to Advance Cervical Cancer Patients.

Authors:  Bambang Sasongko Noegroho; Andri Pratama Kurniawan; Zola Wijayanti; Akhmad Mustafa
Journal:  Asian Pac J Cancer Prev       Date:  2021-04-01

5.  Predictors of time to death among cervical cancer patients at Tikur Anbesa specialized hospital from 2014 to 2019: A survival analysis.

Authors:  Benyam Seifu; Chaltu Fikru; Delelegn Yilma; Fasil Tessema
Journal:  PLoS One       Date:  2022-02-24       Impact factor: 3.240

6.  Cost Effectiveness of Bevacizumab Plus Chemotherapy for the Treatment of Advanced and Metastatic Cervical Cancer in India-A Model-Based Economic Analysis.

Authors:  Nidhi Gupta; Prerika Nehra; Akashdeep Singh Chauhan; Nikita Mehra; Ashish Singh; Manjunath Nookala Krishnamurthy; Kavitha Rajsekhar; Jayachandran Perumal Kalaiyarasi; Partha Sarathi Roy; Prabhat Singh Malik; Anisha Mathew; Pankaj Malhotra; Amal Chandra Kataki; Jyoti Dixit; Sudeep Gupta; Lalit Kumar; Shankar Prinja
Journal:  JCO Glob Oncol       Date:  2022-03

7.  Population-based utility scores for HPV infection and cervical squamous cell carcinoma among Australian Indigenous women.

Authors:  Xiangqun Ju; Karen Canfell; Kirsten Howard; Gail Garvey; Joanne Hedges; Megan Smith; Lisa Jamieson
Journal:  PLoS One       Date:  2021-07-22       Impact factor: 3.240

8.  Challenges of health promotion and education strategies to prevent cervical cancer in India: A systematic review.

Authors:  Jissa Vinoda Thulaseedharan; Kirstin Grosse Frie; Rengaswamy Sankaranarayanan
Journal:  J Educ Health Promot       Date:  2019-11-29

9.  Survival Analysis of Cervical Cancer Patients: A Case Study of Bhutan.

Authors:  Ugyen Tshewang; Pairote Satiracoo; Yongwimon Lenbury
Journal:  Asian Pac J Cancer Prev       Date:  2021-09-01
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.