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Record W3197707242 · doi:10.1097/cej.0000000000000710

Risk of gastric cancer in chronic obstructive pulmonary disease

2021· article· en· W3197707242 on OpenAlexaffabout
Zharmaine Ante, Pierre Ernst, Paul Brassard

Bibliographic record

VenueEuropean Journal of Cancer Prevention · 2021
Typearticle
Languageen
FieldMedicine
TopicGastric Cancer Management and Outcomes
Canadian institutionsMcGill UniversityJewish General Hospital
Fundersnot available
KeywordsMedicineCOPDCancerPopulationRate ratioInternal medicineLung cancerIncidence (geometry)Standardized mortality ratioConfidence intervalCohortCohort studyRelative riskEnvironmental health

Abstract

fetched live from OpenAlex

OBJECTIVE: Owing to the potential role of the gut-lung axis in carcinogenesis, we assessed the incidence of gastric cancer in patients with chronic obstructive pulmonary disease (COPD). METHODS: Using Quebec's administrative databases, we assembled a cohort of 118 913 patients aged 40 years and older with COPD from 1995 to 2015. We calculated age-standardized incidence rate ratio (IRR) and 95% confidence interval (CI) for gastric cancer, comparing patients with COPD to the Quebec general population. We evaluated temporal changes in incidence by calculating annual percentage change (APC) and stratified the analysis by anatomical site. RESULTS: Between 1995 and 2015, 279 patients with COPD developed gastric cancer (54.0 cases per 100 000 person-years). The overall age-standardized incidence rate in patients with COPD was comparable to the general population (IRR, 1.05; 95% CI, 0.79-1.39). However, the IRR increased over time (APC, 4.40%; P = 0.0101), due to the growing rate of gastric cancer in patients with COPD (APC, 1.90%; P = 0.2666) and the declining rate in the Quebec population (APC, -2.40%; P < 0.0001). CONCLUSIONS: The overall risk of gastric cancer in patients with COPD did not differ from the general population; however, the risk among patients has increased over the years. These findings provide insights as to whether long-term follow-up for gastric cancer risk in COPD is warranted.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.388
Threshold uncertainty score0.719

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.014
GPT teacher head0.288
Teacher spread0.274 · 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

Citations8
Published2021
Admission routes2
Has abstractyes

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