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Record W4405086588 · doi:10.1111/ppe.13144

Cancer incidence and stage at diagnosis in children and adolescents in the Community of Madrid, 2015–2018

2024· article· en· W4405086588 on OpenAlexaboutno aff
Raquel López‐González, David Parra Blázquez, Candela Pino‐Rosón, Marina Pollán, Núria Aragonés

Bibliographic record

VenuePaediatric and Perinatal Epidemiology · 2024
Typearticle
Languageen
FieldMedicine
TopicAcute Lymphoblastic Leukemia research
Canadian institutionsnot available
FundersInstituto de Salud Carlos IIIEuropean Commission
KeywordsMedicineCancer registryIncidence (geometry)CancerPopulationPediatricsStage (stratigraphy)Medical recordConfidence intervalMedical diagnosisRetrospective cohort studyEpidemiologyDemographySurgeryInternal medicineEnvironmental healthPathology

Abstract

fetched live from OpenAlex

BACKGROUND: Cancer is the leading cause of death in children aged 1-14 and the second in 15-19-year-old adolescents in Spain. The Paediatric Population-Based Cancer Registry of the Community of Madrid was created to monitor its incidence and survival. OBJECTIVES: This study presents the incidence of childhood and adolescent cancer (0-19 years) in Madrid at a population level by sex, age group, type of tumour and stage at diagnosis. METHODS: This study was a retrospective analysis of the total number of cases registered in the Paediatric Population-Based Cancer Registry of the Community of Madrid. The registry employs passive and active case finding: by cross-referencing hospital discharge data, primary healthcare data, mortality data and administrative information; and by validation of all potential incident cases through a review of electronic medical charts. All new diagnoses of malignant neoplasms, non-malignant neoplasms of the Central Nervous System, and uncertain and in situ neoplasms of the bladder, identified in 2015-2018 in individuals under age 20 residing in Madrid, were included. Patient information was collected along with tumour characteristics, including stage at diagnosis according to the Toronto Childhood Cancer Stage Guidelines. Age-specific and age-standardised incidence rates were computed with 95% confidence intervals (CI). RESULTS: A total of 1002 tumours were registered in 5,269,524 person-years, yielding an age-standardised rate of 192.7 (95% CI 184.3, 201.4) cases per million person-years. Male/female rate ratio was 1.1. The most common cancers across all ages comprised CNS tumours, leukaemias and lymphomas (primarily Hodgkin): 45.5 (95% CI 39.9, 51.7), 41.1 (95% CI 35.7, 47.1) and 35.8 (95% CI 30.9, 41.3) cases per million person-years, respectively. The proportion of metastatic tumours at diagnosis was similar for ages 0-14 (18.6%) and 15-19 (18.7%). CONCLUSIONS: This study provides a comprehensive understanding of childhood and adolescent cancer incidence in Madrid. The registry provides high-quality data and consolidates epidemiological surveillance of cancer in the region.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
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 integrity0.0000.001
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 head0.030
GPT teacher head0.350
Teacher spread0.320 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2024
Admission routes1
Has abstractyes

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