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Record W2914983882 · doi:10.1097/ju.0000000000000025

Global, Regional and National Burden of Bladder Cancer, 1990 to 2016: Results from the GBD Study 2016

2019· article· en· W2914983882 on OpenAlex
Hedyeh Ebrahimi, Erfan Amini, Farhad Pishgar, Sahar Saeedi Moghaddam, Behnam Nabavizadeh, Yasna Rostam‐Abadi, Arya Aminorroaya, Christina Fitzmaurice, Farshad Farzadfar, Mohammad Reza Nowroozi, Peter C. Black, Siamak Daneshmand

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Journal of Urology · 2019
Typearticle
Languageen
FieldMedicine
TopicBladder and Urothelial Cancer Treatments
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineBladder cancerLife expectancyYears of potential life lostCancerIncidence (geometry)Disease burdenMortality rateBurden of diseaseDemographyStandardized mortality ratioDiseaseGerontologyInternal medicinePopulationEnvironmental health

Abstract

fetched live from OpenAlex

PURPOSE: Bladder cancer is among the leading causes of cancer death worldwide. Data on the bladder cancer burden are valuable for policy-making. We aimed to estimate the burden of bladder cancer by country, age group, gender and sociodemographic status between 1990 and 2016. MATERIALS AND METHODS: Data from vital registration systems and cancer registries were the input to estimate the bladder cancer burden. Mortality was estimated in an ensemble model approach, incidence was estimated by dividing mortality by the mortality-to-incidence ratio and prevalence was estimated using the mortality-to-incidence ratio as a surrogate for survival. We modeled the years lived with disability using disability weights of bladder cancer sequelae. Years of life lost were calculated by multiplying the number of deaths by age by the standard life expectancy at that age. Disability adjusted life-years were calculated by summing the years lived with disability and the years of life lost. Moreover, we also estimated the burden attributable to bladder cancer risk factors, smoking and high fasting plasma glucose using the comparative risk assessment framework of the Global Burden of Disease study. RESULTS: In 2016 there were 437,442 incident cases (95% UI 426,709-447,912) of bladder cancer with an age standardized incidence rate of 6.69/100,000 (95% UI 6.52-6.85). Bladder cancer led to 186,199 deaths (95% UI 180,453-191,686) in 2016 with an age standardized rate of 2.94/100,000 (95% UI 2.85-3.03). Bladder cancer was responsible for 3,315,186 disability adjusted life-years (95% UI 3,193,248-3,425,530) in 2016 with an age standardized rate of 49.45/100,000 (95% UI 47.68-51.11). Of bladder cancer deaths 26.84% (95% UI 19.78-33.91) and 7.29% (95% UI 1.49-16.19) were due to smoking and high fasting glucose, respectively, in 2016. CONCLUSIONS: Although the number of bladder cancer incident cases is growing globally, the age standardized incidence and number of deaths are decreasing, as mirrored by a decreasing smoking contribution.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.689
Threshold uncertainty score0.463

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.027
GPT teacher head0.317
Teacher spread0.290 · 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