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Mortalidade por câncer de cólon e reto nas capitais brasileiras no período 1980-1997

2005· article· pt· W2022744485 on OpenAlexaboutno aff
Fabricia J. Neves, Inês Echenique Mattos, Rosalina Jorge Koifman

Bibliographic record

VenueArquivos de Gastroenterologia · 2005
Typearticle
Languagept
FieldMedicine
TopicColorectal Cancer Screening and Detection
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineRectumColorectal cancerChristian ministryMortality rateDemographyEtiologyCancerInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: In Brazil, colorectal tumors are among the five more important sites of neoplasms, for both sexes, in terms of mortality. The etiology of colon and rectal cancer is complex and some of the factors involved in its genesis are related to diet. Brazilian geographic regions present heterogeneous alimentary profiles, that could be influencing the distribution of the mortality rates for these tumors. OBJECTIVE: To describe the patterns of mortality from cancers of the colon and the rectum in Brazilian State capitals in the period 1980-1997. MATERIAL AND METHODS: Mortality data for individuals of both sexes, residents in Brazilian State capitals (except Palmas, Tocantins) was obtained from the Ministry of Health Mortality System (SIM/MS). We considered as death from colon and rectum cancers those whose underlying cause of death was coded as 153.0 to 153.9, 154.0 and 154.1, according to ICD 9, in the period 1980-95; C18.0 to C18.9, C19 and C20,according to ICD 10, in the period 1996-97. The trends of the standardized mortality rates from colon and rectum cancer were analyzed through linear regression models. RESULTS: The highest standardized mortality rates for colorectal cancer were observed in the South and Southeastern regions and varied between 8,0 and 10,7/100000 inhabitants. Porto Alegre (11,9), São Paulo (10,8) and Rio de Janeiro (9,6) presented the greatest rates among the State capitals in the study period. In the South region, rates of mortality for Porto Alegre and Florianópolis presented an increasing trend in the study period and the same behavior was observed for São Paulo and Vitória in the Southeastern region. Brasilia and the other capitals of the Midwest, with the exception of Goiânia, showed a tendency of increment of the mortality rates. Among the capitals of the North and Northeast regions, an increasing trend of mortality was observed in Rio Branco and Fortaleza. The separate analysis of the mortality rates for tumors of the colon and for tumors of the rectum showed a similar pattern, with higher values being observed for colon neoplasia. DISCUSSION: Regional differences in the mortality rates for colon and rectum neoplasias have been discussed for different authors, who point to the contribution of cultural and alimentary habits, and differences of life style and socioeconomic status to this heterogeneity, besides other aspects related to access to health services and quality of hospital care and preventive services. These factors must be considered in the evaluation of the differences observed in Brazilian capitals. Although the State capitals situated in South and Southeastern regions presented higher rates than the others, mortality rates of Porto Alegre (9,8/100.000) and Rio de Janeiro (9,0/100.000), in period 1983- 85, were about three times lower than those observed in the United States, Canada and France, in 1985. The sex distribution pattern of the mortality rates in Brazilian capitals was not uniform, with higher rates in men. We observed a trend of increment of the mortality rates of colorectal cancer in all Brazilian regions, similar to that was observed in some countries of the world, although with different gradients. CONCLUSIONS: The standardized mortality rates for colon and rectum neoplasias presented important regional differences among Brazilian State capitals. The highest rates were observed in the South and Southeastern regions. A trend of increment of the standardized mortality rates for cancers of the colon and the rectum was observed in all Brazilian regions in the period 1980-1997.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.276
Teacher spread0.257 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations32
Published2005
Admission routes1
Has abstractyes

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