Estimation of Cancer Cases Using Capture-Recapture Method in Northwest Iran

Ghojazadeh, Morteza; Mohammadi, Mohammad Mehdi; Azami-Aghdash, Saber; Sadighi, Alireza; Piri, Reza; Naghavi-Behzad, Mohammad

doi:10.7314/apjcp.2013.14.5.3237

Cited by 27 publications

(26 citation statements)

References 15 publications

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“…Considering the consequences of the cancer in young patients, the importance of paying attention to this age group is obvious. Ghojazadeh's (Ghojazadeh et al, 2013) research showed that there were fewer registrations in the age group under 20 year old that is similar to the present research, while in the age group upper than 45 years old the results were not similar to the present study. Maybe the reason is various target populations of these two studies.…”

Section: Discussionsupporting

confidence: 60%

“…The results also show that in all the selected centers, females had higher cancer registrations than males. Regarding this difference, the results of the present study is similar to Bailly's (Bailly DOI:http://dx.doi.org/10.7314/APJCP.2015.16.13.5549 Completeness of Cancer Registration in Shiraz Selected Centers through two Source Capture Re-Capture Method, 2009Data et al, 2011) study in France and McClish's (McClish and Penberthy, 2004 , while it is in contrast with Zemestani's (Zemestani et al, 2013) study, Ghojazadeh's (Ghojazadeh et al, 2013) investigation, Aagahi's (Aghaei et al, 2013) study in Tehran, Croccetti's (Crocetti et al, 2001) study in Tuscany, Italy, and Seddon's (Seddon DJ and Williams EMI., 1997) in England. According to the WHO's (2008) report the patterns of stomach cancer registration are similar in males and females (Boyle and Levin, 2008).…”

Section: Discussionmentioning

confidence: 97%

“…This method has been documented earlier (Seddon and Williams., 1997;Crocetti et al, 2001;McClish, Penberthy, 2004;Siva et al, 2009 ;Peragallo et al, 2011;Kroll et al, 2011;Aghaei et al, 2013;Ghojazadeh et al, 2013;Zemestani et al, 2013),. For analyzing and estimating the completeness of cancer registration they mostly used Chapman and Chao by a confidence interval of 95%.…”

Section: The Study Consists Of Five Stepsmentioning

confidence: 99%

See 2 more Smart Citations

Estimation of Completeness of Cancer Registration for Patients Referred to Shiraz Selected Centers through a Two Source Capture Re-capture Method, 2009 Data

Sharifian

SedaghatNia²,

Nematolahi³

et al. 2015

Asian Pacific Journal of Cancer Prevention

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Section: Discussionsupporting

confidence: 60%

Section: Discussionmentioning

confidence: 97%

Section: The Study Consists Of Five Stepsmentioning

confidence: 99%

See 1 more Smart Citation

Estimation of Completeness of Cancer Registration for Patients Referred to Shiraz Selected Centers through a Two Source Capture Re-capture Method, 2009 Data

Sharifian

SedaghatNia²,

Nematolahi³

et al. 2015

Asian Pacific Journal of Cancer Prevention

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“…Incomplete record system faces the incidence and survival values calculation with distortion (Aghaei et al, 2012). This is important enough that frequently an important part of quality control in cancer registration reported by the International Association for Research on Cancer (IARC) is based on the estimated cases number in community-not based on the registered cases (Parkin, 1994;Schouten et al, 1994;Ghojazadeh et al, 2013). Death certificate only and Mortality/Incidence Ratio indicators are among the indicators used normally to estimate the hidden population in registry systems (Shanmugaratnam, 1989), but they are indirect indicators that are strongly associated with the fatality rate of disease.…”

Section: Introductionmentioning

confidence: 99%

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

Mosavi‐Jarrahi

Ahmadi-Jouibari²,

Najafi³

et al. 2013

Asian Pacific Journal of Cancer Prevention

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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.

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“…In light of the fact that the coverage of cancer registry in Iran is seriously defective, any prevalence estimation based on the incidence and survival rates retrieved from this data will, inevitably, be biased (Mohagheghi and Mosavi-Jarrahi, 2010;Zendehdel et al, 2010;Zendehdel et al, 2011;Ghojazadeh et al, 2013;Zendehdel, 2015). As a result, this study adopted a common method used for the estimations of different sub-populations (Salganik et al, 2011a).…”

Section: Discussionmentioning

confidence: 99%

Total and Partial Prevalence of Cancer Across Kerman Province, Iran, in 2014, Using an Adapted Generalized Network Scale-Up Method

Vardanjani¹,

Baneshi²,

Haghdoost³

2015

Asian Pacific Journal of Cancer Prevention

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Due to the lack of nationwide population-based cancer registration, the total cancer prevalence in Iran is unknown. Our previous work in which we used a basic network scale-up (NSU) method, failed to provide plausible estimates of total cancer prevalence in Kerman. The aim of the present study was to estimate total and partial prevalence of cancer in southeastern Iran using an adapted version of the generalized network scale-up method. A survey was conducted in 2014 using multi-stage cluster sampling. A total of 1995 face-to-face gender-matched interviews were performed based on an adapted version of the NSU questionnaire. Interviewees were asked about their family cancer history. Total and partial prevalence were estimated using a generalized NSU estimator. The Monte Carlo method was adopted for the estimation of upper/lower bounds of the uncertainty range of point estimates. One-yr, 2-3 yr, and 4-5 yr prevalence (per 100,000 people) was respectively estimated at 78 (95%CI, 66, 90), 128 (95%CI, 118, 147), and 59 (95%CI, 49, 70) for women, and 48 (95%CI, 38, 58), 78 (95%CI, 66, 91), and 42 (95%CI, 32, 52) for men. The 5-yr prevalence of all cancers was estimated at 0.18 percent for men, and 0.27 percent for women. This study showed that the generalized familial network scale-up method is capable of estimating cancer prevalence, with acceptable precision.

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Estimation of Cancer Cases Using Capture-Recapture Method in Northwest Iran

Cited by 27 publications

References 15 publications

Estimation of Completeness of Cancer Registration for Patients Referred to Shiraz Selected Centers through a Two Source Capture Re-capture Method, 2009 Data

Estimation of Completeness of Cancer Registration for Patients Referred to Shiraz Selected Centers through a Two Source Capture Re-capture Method, 2009 Data

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

Total and Partial Prevalence of Cancer Across Kerman Province, Iran, in 2014, Using an Adapted Generalized Network Scale-Up Method

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