• 제목/요약/키워드: Cancer registry data

검색결과 261건 처리시간 0.024초

침샘 악성종양의 발생에 대한 최신 경향 (Recent Trends in the Incidence of Salivary Gland Malignancies)

  • 석준걸;박은혜;정규원;장재원
    • 대한두경부종양학회지
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    • 제38권2호
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    • pp.1-5
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    • 2022
  • Due to the low incidence and histologic diversity of salivary gland cancer, analyzing the incidence of salivary gland cancer is necessary to understand the macroscopic aspects. We intend to investigate the international trend of the reported incidence rate of salivary gland cancer. Using the Korea Central Cancer Registry data, the domestic change in the incidence rate was examined. As a result, a significant increasing trend was confirmed, consistent with the United States and Japan trends. The etiology of the change is unclear, and various factors that may influence the direction are reported. Additional research is needed to understand the pathophysiology of salivary gland cancer, and further efforts are required to understand salivary gland cancer.

암등록과 암관리사업의 최신 국제 경향 및 우리나라 암발생 통계 (Global Activity of Cancer Registries and Cancer Control and Cancer Incidence Statistics in Korea)

  • 신해림
    • Journal of Preventive Medicine and Public Health
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    • 제41권2호
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    • pp.84-91
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    • 2008
  • The World Health Organization (WHO) reported that cancer killed 7.6 million people in the world in 2005, and that 40% of all cancer deaths can be prevented. According to the WHO Global Action Plan Against Cancer (GAPAC), monitoring of cancer patients is the essential part of cancer control, and should be conducted through cancer registration. Originally, cancer registries were primarily concerned with the description of cancer patterns, trends of cancer occurrence, and etiology of cancer. In the last 20 years, cancer registries provided not only information on the incidence and characteristics of specific cancers, but also supplied the source of cancer control planning and evaluation and the care of individual cancer patients with survival. Cancer Incidence in Five Continents (CI5) presents incidence data from populations all over the world every five year. Volume IX in the series (data for 1998-2002) has recently (November 2007) been published online at International Agency for Research on Cancer (IARC). Nine data from Korea Central Cancer Registry (National data), Seoul, Busan, Daegu, Gwangju, Incheon, Daejeon, Usan, Jejudo regional cancer registries were included in that volume. In this paper, the editorial process, the characteristics of national data, and quality indices in CI5 IX are being described. In addition, cancer control activities related to cancer registration in some selected countries are also presented.

Estimation of Esophageal Cancer Incidence in Tehran by Log-linear Method using Population-based Cancer Registry Data

  • Mosavi-Jarrahi, Alireza;Ahmadi-Jouibari, Toraj;Najafi, Farid;Mehrabi, Yadollah;Aghaei, Abbas
    • Asian Pacific Journal of Cancer Prevention
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    • 제14권9호
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    • pp.5367-5370
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    • 2013
  • Background: Having knowledge or estimation of cancer incidence is necessary for planning and implementation of any cancer prevention and control programs. Population-based registries provide valuable information to achieve these objectives but require extra techniques to estimate the incidence rate. The present study aimed to estimate the esophageal cancer incidence using a log-linear method based on Tehran population-based cancer registry data. Materials and Methods: New cases of esophageal cancer reported by three sources of pathology reports, medical records, and death certificates to Tehran Metropolitan Area Cancer Registry Center during 2002-2006 were entered into the study and the incidence rate was estimated based on log-linear models. We used Akaike statistics to select the best-fit model. Results: During 2002-2006, 1,458 new cases of esophageal cancer were reported by the mentioned sources to the population-based cancer registry. Based on the reported cases, cancer incidence was 4.5 per 100,000 population and this was estimated to be 10.5 per 100,000 by the log-linear method. Conclusions: Based on the obtained results, it can be concluded that an estimated incidence for 2004 of 8.3 per 100,000 population could be a good benchmark for the incidence of esophageal cancer in the population of Tehran metropolis.

광주광역시 지역암등록 시행 5년간의 암 발생과 질적평가에 대한 연구 (A Study on the Incidence of Cancer and Evaluating the Quality of the Community-based Cancer Registry in Gwangju Metropolitan City during the First Five Years of Implementation (1998-2002))

  • 이수진;신민호;최진수
    • Journal of Preventive Medicine and Public Health
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    • 제39권3호
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    • pp.255-262
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    • 2006
  • Objectives: This study is conducted to identify the cancer incidence in Gwangju during the 5-year period from 1998 to 2002 and to assess the completeness and validity of the cancer registry data during this time period. Methods: All cases that had a diagnosis of invasive cancer (ICD-10 sites C00-C97) during the study period were retrieved from the records of the Gwangju Cancer Registry (GCR), which theoretically includes all the cancer cases in Gwangju. All the cases during the study period were analyzed by gender, age group and cancer sites. The completeness (mortality/incidence ratio and age-specific incidence curve) and validity (histologic verification, primary site unknown, age unknown and death certificate only) of the cancer registry in Gwangju were analyzed by gender, age group and cancer sites for the 5-year period. Results: The overall cancer incidence was higher in the males than in the females (age-standardized incidence rates (ASR) 299.8 and 172.4 per 100,000, respectively). In males, the most common cancer was stomach (ASR: 65.8), followed by liver (ASR: 50.5), bronchus and lung (ASR: 50.5), colo-rectum (ASR: 26.7), oesophagus (ASR: 10.6), and bladder (ASR: 10.3) in descending order. In females, the most common cancer was stomach (ASR: 26.8), followed by thyroid (ASR: 20.7), breast (ASR: 20.4), cervix uteri (ASR: 14.3), bronchus and lung (ASR: 13.0), liver (ASR: 10.7) and colo-rectum (ASR: 17.2) in descending order. The overall quality (completeness and validity) of the cancer registry was at the in 'good' level. Conclusions: These results will be useful in the overall context of planning and evaluating of cancer control activities in Gwangju.

Educational Levels and Delays in Start of Treatment for Head and Neck Cancers in North-East India

  • Krishnatreya, Manigreeva;Kataki, Amal Chandra;Sharma, Jagannath Dev;Nandy, Pintu;Rahman, Tashnin;Kumar, Mahesh;Gogoi, Gayatri;Hoque, Nazmul
    • Asian Pacific Journal of Cancer Prevention
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    • 제15권24호
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    • pp.10867-10869
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    • 2015
  • Background: There are various patient and professional factors responsible for the delay in start of treatment (SOT) for head and neck cancers (HNC). Materials and Methods: This retrospective study was conducted on data for HNC patients registered at the hospital cancer registry in North-East India. All cases diagnosed during the period of January 2010 to December 2012 were considered for the present analysis. Educational levels of all patients were clustered into 3 groups; illiterates (unable to read or write), qualified (school or high school level education), and highly qualified (college and above). Results: In the present analysis 1066 (34.6%) patients were illiterates, 1,869 (60.6%) patients were literates and 145 (4.7%) of all patients with HNC were highly qualified. The stage at diagnosis were stage I, seen in 62 (34.6%), stage II in 393 (12.8%), stage III in 1,371 (44.5%) and stage IV in 1,254 (40.7%). The median time (MT) to the SOT from date of attending cancer hospital (DOACH) was, in illiterate group MT was 18 days, whereas in the qualified group of patients it was 15 days and in the highly qualified group was 10 days. Analysis of variance showed there was a significant difference on the mean time for the delay in SOT from DOACH for different educational levels (F=9.923, p=0.000). Conclusions: Educational level is a patient related factor in the delays for the SOT in HNCs in our population.

Pre-Treatment Performance Status and Stage at Diagnosis in Patients with Head and Neck Cancers

  • Krishnatreya, Manigreeva;Rahman, Tashnin;Kataki, Amal Chandra;Sharma, Jagannath Dev;Nandy, Pintu;Baishya, Nizara
    • Asian Pacific Journal of Cancer Prevention
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    • 제15권19호
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    • pp.8479-8482
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    • 2014
  • Performance status (PS) is a key factor in the selection of treatment in head and neck cancer patients (HNC). There is a probability in the development of an unfavorable PS with HNC advancing stages. This retrospective study was done on data of patients registered during the period from January 2010 to December 2012 at a cancer registry in the North Eastern India. PS was recorded according to the WHO scale. Multinomial logistic regression analysis was conducted to assess the probability of poor performance status with advancing stage. Out of 3,593 patients, there were 78.9% (2,836) males and 21.1% (757) females. Average PS0 was seen in 57.4% of all HNCs, less than 1% of all cases in HNCs with poor PS3-4 except in cases with thyroid, parotid and nose and PNS cancers, 0.7% stage IV (${\pm}M1$) HNC with PS4, favorable PS0-1 was seen in 84% to 100% of cases, RR=57.1 (CI=21.2-154.1) in M1 for PS4 and with advancing stages the probability of worsening of PS0 to PS4 was 3 times (P=0.021, 95% CI= 1.187-8.474). In HNC, the majority of patients presents with a favorable PS0-1 with different odds of worsening of PS with advancing stages and the presence of metastasis in stage IV is significantly associated with a poor PS.

Pattern of Reproductive Cancers in India

  • Takiar, Ramnath;Kumar, Sathish
    • Asian Pacific Journal of Cancer Prevention
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    • 제15권2호
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    • pp.599-603
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    • 2014
  • Background: Reproductive cancers are those that affect the human organs that are involved in producing offspring. An attempt is made in the present communication to assess the magnitude and pattern of reproductive cancers, including their treatment modalities, in India. The cancer incidence data related to reproductive cancers collected by five population-based urban registries, namely Bangalore, Bhopal, Chennai, Delhi and Mumbai, for the years 2006-08 were utilized. The reproductive cancers among females constituted around 25% of the total and around 9% among males. Among females, the three major contributors were cervix (55.5%), ovary (26.1%) and corpus uteri (12.4%). Similarly among males, the three major contributors were prostate (77.6%), penis (11.6%) and testis (10.5%). For females, the AAR of reproductive cancers varied between 30.5 in the registry of Mumbai to 37.3 in the registry of Delhi. In males, it ranged between 6.5 in the registry of Bhopal to 14.7 in the registry of Delhi. For both males and females, the individual reproductive cancer sites showed increasing trends with age. The leading treatment provided was: radio-therapy in combination with chemo-therapy for cancers of cervix (48.3%) and vagina (43.9%); surgery in combination with chemo-therapy (54.9%) for ovarian cancer; and surgery in combination with radio-therapy for the cancers of the corpus uteri (39.8%). In males, the leading treatment provided was hormone-therapy for prostate cancer (39.6%), surgery for penile cancer (81.3%) and surgery in combination with chemo-therapy for cancer of the testis (57.6%).

A Model Approach to Calculate Cancer Prevalence From 5 Year Survival Data for Selected Cancer Sites in India

  • Takiar, Ramnath;Jayant, Kasturi
    • Asian Pacific Journal of Cancer Prevention
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    • 제14권11호
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    • pp.6899-6903
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    • 2013
  • Background: Prevalence is a statistic of primary interest in public health. In the absence of good follow-up facilities, it is difficult to assess the complete prevalence of cancer for a given registry area. Objective: An attempt was here made to arrive at complete prevalence including limited duration prevalence with respect to selected sites of cancer for India by fitting appropriate models to 1, 3 and 5 years cancer survival data available for selected population-based registries. Materials and Methods: Survival data, available for the registries of Bhopal, Chennai, Karunagappally, and Mumbai was pooled to generate survival for breast, cervix, ovary, lung, stomach and mouth cancers. With the available data on survival for 1, 3 and 5 years, a model was fitted and the survival curve was extended beyond 5 years (up to 35 years) for each of the selected sites. This helped in generation of survival proportions by single year and thereby survival of cancer cases. With the help of survival proportions available year-wise and the incidence, prevalence figures were arrived for selected cancer sites and for selected periods. Results: The prevalence to incidence ratio (PI ratio) stabilized after a certain duration for all the cancer sites showing that from the knowledge of incidence, the prevalence can be calculated. The stabilized P/I ratios for the cancer sites of breast, cervix, ovary, stomach, lung, mouth and for life time was observed to be 4.90, 5.33, 2.75, 1.40, 1.37, 4.04 and 3.42 respectively. Conclusions: The validity of the model approach to calculate prevalence could be demonstrated with the help of survival data of Barshi registry for cervix cancer, available for the period 1988-2006.

Cancer Registration in the Peoples Republic of China

  • Wei, Kuang-Rong;Chen, Wan-Qing;Zhang, Si-Wei;Liang, Zhi-Heng;Zheng, Rong-Shou;Ou, Zhi-Xiong
    • Asian Pacific Journal of Cancer Prevention
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    • 제13권8호
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    • pp.4209-4214
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    • 2012
  • The current situation of cancer registration in China was systematically reviewed. So far, cancer registration in China has been making a great progress in the following aspects: the number of cancer registries and covered population have increased dramatically; a registration network has been established and completed gradually; regulations and rules improved remarkably; more attention is being paid by every level of government; a lot of registration software has been created and financial support ensured. However, we are still facing some problems and challenges, such as no stable groups of registrars, shortage of training opportunities, poor data quality, insufficient utilization and lack of multidisciplinary mechanisms, so that the cancer registration system still needs to be enhanced and improved. Along with the development of economy, science and information technology, methods and patterns of cancer registration is changing. It is to be expected that cancer registration will be automatic, nationwide and integrated with community healthcare in the near future.

Additive Properties of Crude, Age Specific and Age Adjusted Rates for Cancer Incidence and Mortality

  • Takiar, Ramnath;Shrivastava, Atul
    • Asian Pacific Journal of Cancer Prevention
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    • 제15권13호
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    • pp.5407-5409
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    • 2014
  • Background: In National Cancer Registry Programme (NCRP) reports, various rates are routinely provided for 50 cancer sites of males and 54 cancer sites of females. Very often, depending on our interest, we wish to see these rates for group of cancers like head and neck cancers, oral cancers, and reproductive cancers. In such a situation, the desired rates are calculated independently from the actual data and reported. The question is can we derive the rates for groups of cancers from the published reports when the data is provided only for the individual sites? Objective: In the present paper, an attempt is made to explore the mathematical properties of various rates to derive them directly for the group of cancer sites from the published data when the rates are provided only for the individual sites. Source of data: The cancer incidence data collected by two urban Population Based Cancer Registries (PBCRs), under the network of NCRP for the period of 2006-08 was considered for the study purposes. The Registries included were: Bangalore and Bhopal. Results: In the present communication, we have shown that the crude rate (CR), age specific rates and age-adjuste rates (AAR) all possess additive properties. This means, given the above rates for individual sites, the above rates can be calculated for groups of sites by simply adding them. In terms of formula it can be stated that CR(Site1+Site2+++ SiteN) = CR(Site1)+CR(Site2) +++ CR(SiteN). This formula holds good for age specific rates as well as for AAR. This property facilitates the calculation of various rates for defined groups of cancers by simply adding the above rates for individual sites from which they are made up.