Estimating infra-national and national thyroid cancer incidence in France from cancer registries data and national hospital discharge database

Uhry, Zoé; Colonna, Marc; Remontet, Laurent; Grosclaude, Pascale; Carré, N; Couris, Chantal Marie; Velten, Michel

doi:10.1007/s10654-007-9158-6

Cited by 27 publications

(19 citation statements)

References 17 publications

(17 reference statements)

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“…Satisfactory completeness was reached after 2000 as shown by the comparison with hospital discharge databases (10). The incidence rates of the last 6 years are elevated, slightly higher than those reported for the more recent years, whether observed (4,(13)(14)(15) or estimated from French cancer registries covering 13% of the national population (9,16). The fact that the changes in papillary tumors and small-size tumors less than 1 cm in diameter parallel those of the general incidence suggest the major influence of small papillary cancers on incidence rates (1,6,13,15).…”

Section: Discussionmentioning

confidence: 76%

“…Wide variations in thyroid cancer incidence exist between countries and in the same country (8). The national estimation of incidence rates in France for the period 1998-2000 ranged from 5 to 20 per 100 000 according to administrative areas (9). These differences may reflect differential exposure to thyroid cancer environmental risk factors or differences in diagnostic practices.…”

Section: Introductionmentioning

confidence: 99%

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Thyroid cancer: is the incidence rise abating?

Sassolas

Hafdi-Nejjari

Remontet

et al. 2009

European Journal of Endocrinology

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Objective: The aim of the present study was to determine recent trends in thyroid cancer incidence rates and to analyze histopathological characteristics and geographical distribution. Methods: Histologically proven 5367 cases were collected over the period [1998][1999][2000][2001][2002][2003][2004][2005][2006] in France from the Rhône-Alpes thyroid cancer registry. Geographical variations of incidence were analyzed using a mixed Poisson model. Results: The average incidence rates, age standardized to the world population, were 3.9/100 000 in men and 12.3/100 000 in women, higher than those previously reported in France. After an initial increase during the first 3 years, a steady level of incidence was observed for the period 2001-2006. The annual incidence rate of microcarcinomas was correlated with that of all cancers in men and women (rZ0.78 and 0.89; P!0.01) respectively. Papillary microcarcinomas represented 38% of tumors and two-thirds of them measured less than 5 mm in diameter. They were fortuitously discovered after thyroidectomy for benign diseases in 64% of cases. Histological marks of aggressiveness differed according to the size of the tumor. Despite recent advances in diagnosis, 13% of tumors were diagnosed at advanced stage especially in men. Geographical distribution of incidence based on subregional administrative entities showed lower incidence rates in rural than in urban zones in men (relative rate: 0.72; 95% CI: 0.62-0.84) and women (relative rate: 0.85; 95% CI: 0.73-0.93).

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Section: Discussionmentioning

confidence: 76%

Section: Introductionmentioning

confidence: 99%

Thyroid cancer: is the incidence rise abating?

Sassolas

Hafdi-Nejjari

Remontet

et al. 2009

European Journal of Endocrinology

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“…The present model corresponds then to an a priori knowledge: the PMSI is an imperfect measure of incidence. It is therefore more satisfactory that the ''inverse'' model where incidence from registries is distributed with a certain error around the PMSI data [16]. The importance of the error model was already presented in detail by Caroll and Ruppert [21].…”

Section: Discussionmentioning

confidence: 93%

“…In that mixed model, age was introduced as a continuous variable and its effect modelled using cubic regression splines with a knot at age 70, which requires that five parameters be estimated instead than the thirteen needed if age was introduced in categories [16]. That knot was fixed at age 70 because cancer management in elderly patients is different from its management in young ones.…”

Section: Discussionmentioning

confidence: 99%

“…The system, primarily dedicated to management as in several other countries, cannot provide direct access to incidence [3][4][5][6][7][8][9][10][11][12][13][14]. Thus, specific methods should be applied to correct the information given by that system through the use of registry data [3,15,16]. That method includes: (i) a step of identification of hospital stays for cancer using diagnostic or procedure codes; (ii) a step of statistical modelling that relates the number of hospital stays to the number of incident cases in the registries; (iii) a step of using that relationship to estimate cancer incidence in areas where there are no cancer registries; i.e., where the number of hospital stays is the only information available.…”

Section: Introductionmentioning

confidence: 99%

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Is it possible to estimate the incidence of breast cancer from medico-administrative databases?

Remontet

Mitton²,

Couris

et al. 2008

Eur J Epidemiol

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One approach to estimate cancer incidence in the French Départements is to quantify the relationship between data in cancer registries and data obtained from the PMSI (Programme de Médicalisation des Systèmes d'Information Médicale). This relationship may then be used in Départements without registries to infer the incidence from local PMSI data. We present here some methodological solutions to apply this approach. Data on invasive breast cancer for 2002 were obtained from 12 Départemental registries. The number of hospital stays was obtained from the National PMSI using two different algorithms based on the main diagnosis only (Algorithm 1) or on that diagnosis associated to a mention of "resection" (Algorithm 2). Considering registry data as gold standard, a calibration approach was used to model the ratio of the number of hospital stays to the number of incident cases. In Départements with registries, validation of the predictions was done through cross-validation. In Départements without registries, validation was done through a study of homogeneity of the mean number of hospital stays per patient. Cross-validation showed that the estimates predicted by the model were true with data extracted by Algorithm 1 but not by Algorithm 2. However, with Algorithm 1, there was an important heterogeneity between French Départements as to the mean number of hospital stays per patient, which had an important impact on the estimations. In the near future, the method will allow using medico-administrative data (after calibration with registry data) to estimate Départemental incidence of selected cancers.

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Global Burden of Thyroid Cancer From 1990 to 2017

et al. 2020

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IMPORTANCE Thyroid cancer is the most pervasive endocrine cancer worldwide. Studies examining the association between thyroid cancer and country, sex, age, sociodemographic index (SDI), and other factors are lacking. OBJECTIVE To examine the thyroid cancer burden and variation trends at the global, regional, and national levels using data on sex, age, and SDI. DESIGN, SETTING, AND PARTICIPANTSIn this cross-sectional study, epidemiologic data were gathered using the Global Health Data Exchange query tool, covering persons of all ages with thyroid cancer in 195 countries and 21 regions from January 1, 1990, to December 31, 2017; data analysis was completed on October 1, 2019. All participants met the Global Burden of Disease Study inclusion criteria. MAIN OUTCOMES AND MEASURES Outcomes included incidence, deaths, and disability-adjusted life-years (DALYs) of thyroid cancer. Measures were stratified by sex, region, country, age, and SDI.The estimated annual percentage changes (EAPCs) and age-standardized rates were calculated to evaluate the temporal trends. RESULTSIncreases of thyroid cancer were noted in incident cases (169%), deaths (87%), and DALYs (75%). Age-standardized incidence rate (ASIR) showed an upward trend over time, with an EAPC of 1.59 (95% CI, 1.51-1.67); decreases were noted in EAPCs of age-standardized death rate (−0.15; 95% CI, −0.19 to −0.12) and age-standardized DALY rate (−0.11; 95% CI, −0.15 to −0.08). Almost half (41.73% for incidence, 50.92% for deaths, and 54.39% for DALYs) of the thyroid cancer burden was noted in Southern and Eastern Asia. In addition, females accounted for most of the thyroid cancer burden (70.22% for incidence, 58.39% for deaths, and 58.68% for DALYs) and increased by years in this population, although the ASIR of males with thyroid cancer (EAPC, 2.18; 95% CI, 2.07-2.28) increased faster than that of females (EAPC, 1.38; 95% CI, 1.30-1.46). A third (34%) of patients with thyroid cancer resided in countries with a high SDI, and most patients were aged 50 to 69 years, which was older than the age in other quintiles (high SDI quintile compared with all other quintiles, P<.05). The most common age at onset of thyroid cancer worldwide was 15 to 49 years in female individuals compared with 50 to 69 years in male individuals (P<.05). Death from thyroid cancer was concentrated in participants aged 70 years or older and increased by years (average annual percentage change, 0.10; 95% CI, 0.01-0.21; P<.05). Furthermore, people in lower SDI quintiles developed thyroid cancer and died from it earlier than those in other quintiles (high and high-middle SDI vs low and low-middle SDI, P<.05). CONCLUSIONS AND RELEVANCEData from this study suggest considerable heterogeneity in the epidemiologic patterns of thyroid cancer across sex, age, SDI, region, and country, providing Key Points Question What were the epidemiologic patterns and variation in the trends of thyroid cancer worldwide from 1990 to 2017? Findings In this cross-sectional study covering data on incidence, deaths, and disabi...

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Estimating infra-national and national thyroid cancer incidence in France from cancer registries data and national hospital discharge database

Cited by 27 publications

References 17 publications

Thyroid cancer: is the incidence rise abating?

Thyroid cancer: is the incidence rise abating?

Is it possible to estimate the incidence of breast cancer from medico-administrative databases?

Global Burden of Thyroid Cancer From 1990 to 2017

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