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Other literature type . 2024
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Data Paper . 2024
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Data Paper . 2025
License: CC BY
Data sources: Datacite
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Data Paper . 2025
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Ovarian cancer mortality in the states of Northeast and South Brazil (1980-2019): effect of age-period and cohort

Authors: Meira, Karina;

Ovarian cancer mortality in the states of Northeast and South Brazil (1980-2019): effect of age-period and cohort

Abstract

Due to disparities in the quality and coverage of death records from SIM/DATASUS , we corrected the ovarian cancer death records for data quality and underreporting according to the following steps: Correction for quality of information: (i): proportional redistribution of 50% of deaths classified as ill-defined cause among defined natural causes by year, age group and state; (ii): proportional redistribution by year, age group and state of records classified as incomplete diagnosis of general cancer; (iii) the sum of the values obtained in the previous steps was added to the ovary cancer deaths registered in SIM/DATASUS; Correction for of information (ill-defined causes and incomplete cancer diagnosis) and coverage (underreporting): we multiplied the results of step iii by the correction factors obtained from adjusted synthetic extinct generations (SEG-adj) method by year, age group and state .

 An analysis was conducted on the effect of age, period, and cohort (APC) on ovarian cancer mortality in the South and Northeast regions of Brazil.Methods: The APC models were estimated by Poisson regression through estimable functions in women aged 30 and over residing in the states of the South and Northeast regions

10-Aug-2024Araújo Neto, Amadeu; dos Santos, Juliano; Jomar, Rafael; Cardoso Meira, Karina:It is a pleasure to accept your manuscript entitled "Ovarian cancer mortality in the states of Northeast and South Brazil (1980-2019): effect of age-period and cohort" for publication in the Ciência & Saúde Coletiva.

The study was partially funded by the Brazilian Coordination for the Improvement of Higher Education Personnel (Capes) – Funding Code 001. Karina Cardoso thanks the National Council for Scientific and Technological Development (CNPq) for the productivity grant (306652/2022-6).

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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