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Burden of tracheal, bronchus, and lung cancer in high-income North America: Trends from 1990 to 2021 and death projections to 2050.

2025· article· en· W4410818307 on OpenAlexaboutno aff
Fagun Rakesh Viramgama, Dhara Popat, Jyoti Verma, Mehak Jindal, Siddhant Jain, Saif Syed, Abdullah Jamal, Abdul Aleem, Himanshu Bharatkumar Koyani

Bibliographic record

VenueJournal of Clinical Oncology · 2025
Typearticle
Languageen
FieldMedicine
TopicGlobal Cancer Incidence and Screening
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineLung cancerIntensive care medicineLungInternal medicine

Abstract

fetched live from OpenAlex

e22519 Background: Tracheal, bronchus, and lung cancer (TBL) cancer remain significant public health challenges, particularly in high-income regions of North America (HINA), where changing risk factors and advancements in healthcare have shaped disease trends over the decades. Methods: This study is the first to estimate the incidence, prevalence, deaths, disability-adjusted life years (DALYs), and years lived with disability (YLDs) due to tracheal, bronchus, and lung (TBL) cancer across high-income North America (HINA) by age, sex, year, and location from 1990 to 2021, utilizing the standardized Global Burden of Disease Study 2021 framework. Non-fatal health outcomes were modeled using DISMOD-MR 2.1, while fatal health outcomes were assessed using the Cause of Death Ensemble Model (CODEm). Results: The total percentage change (TPC) in prevalence of TBL cancer increased by 43% (95% UI: 37-48%), while deaths rose by 14% (95% UI: 8-18%) from 1990 to 2021. The highest TPC in incidence was observed in Canada (59%), followed by Greenland (31%) and the USA (19%). For deaths, Canada saw a 42% increase, Greenland 27%, and the USA 11%. The age-standardized incidence rate (ASIR) declined from 59.1 (56.5-60.8) per 100,000 in 1990 to 37.2 (34.5-38.9) per 100,000 in 2021, with a 42% reduction in the age-standardized mortality rate (ASMR) and a 50% decrease in the age-standardized DALY rate (ASDALR) over the same period. By age, individuals aged 55+ accounted for 238,470 (218,678-250,416) new cases in 2021, compared to 13,038 (12,610-13,487) in the 20-54 age group. Similarly, deaths in 2021 were predominantly in the 55+ age group, with 188,320 (172,394-198,521) deaths, compared to 8,983 (8,684-9,283) in the 20-54 group. Gender analysis revealed a higher burden increase among females compared to males. Incidence increased by 58% in females versus 1% in males, while deaths rose by 47% in females but decreased by 5% in males. YLDs also increased more significantly in females (61%) compared to males (3%). Conclusions: Deaths due to TBL cancer accounted for 24.56% of all cancer related casualties in HINA in 2021. From a public health perspective, the rising prevalence and mortality of TBL cancer in HINA, particularly among females and older adults, highlights the urgent need for targeted prevention strategies, including tobacco control and early detection programs. The decline in ASIR, ASMR, ASDALR suggests progress in cancer control measures, but disparities in outcomes by gender and location emphasize the need for equitable healthcare access and tailored interventions. For clinicians, the findings underscore the importance of vigilant screening, particularly in high-risk populations, and the integration of advanced therapeutic approaches to address the shifting epidemiology and improve patient outcomes.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.794
Threshold uncertainty score0.409

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.105
GPT teacher head0.496
Teacher spread0.390 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2025
Admission routes1
Has abstractyes

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