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Record W6989482108

The association between exposure to ambient air pollution and risk of Leukemia in Canada

2014· dissertation· en· W6989482108 on OpenAlexaboutno aff

Bibliographic record

VenueOpen MIND · 2014
Typedissertation
Languageen
FieldEnvironmental Science
TopicAir Quality and Health Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsLeukemiaIncidence (geometry)Air pollutionExposure assessmentLung cancerChildhood leukemiaNitrogen dioxideCancer incidencePopulation
DOInot available

Abstract

fetched live from OpenAlex

Exposure to air pollutants, including nitrogen dioxide (NO2) and particulate matter smaller than 2.5 microns (PM2.5), have been shown to be associated with increased incidence of lung cancer, and a few recent reports found that the incidence of breast and prostate cancer may also be so related. There is, however, a paucity of studies on other sites of cancer, including adult leukemia. Occupational studies have shown that exposure to benzene increases one’s risk of developing leukemia, and ambient air contains benzene and other carcinogens. As ambient air pollution contains benzene, has been shown to have causal associations with cancer of the lung, and may have associations in other organs, there is a possibility that leukemia could also be associated with exposure to air pollution. My review of the literature indicated a possible association between leukemia in children and NO2. However, the available studies were limited by small numbers of cases, low and unreported response rates, and potential misclassification of exposures. In addition, only five studies were used to investigate leukemia in adults. The objective of this thesis was to determine whether ambient air pollution is associated with incidence of leukemia in adults. We used a Canadian population-based case-control study conducted in 1994-1997. Cases were 1,064 adults with incident leukemia and controls were 5,039 adults without any cancer. Using data from remote-sensing stations across Canada, we developed interpolation models to assign subjects’ past exposure to NO2 and PM2.5 from 1975-1994. We used the total average exposure of a subject between the 1975-1994 period and we assigned these estimates to their place of residence. We conducted sub-analyses for individual provinces (Ontario, British Columbia, Alberta) and for individual subtypes where numbers were sufficient (chronic and acute myeloid leukemia, and chronic lymphocytic leukemia). Using logistic regression models using natural cubic splines, we found a ‘n-shaped’ response function between exposure to NO2 and all forms of leukemia: at low concentrations, from 4.51 to 14.66 ppb, the odds ratio (OR) was 1.24 (95% confidence interval (CI) 1.00-1.54) and at higher concentrations, from 22.75 to 29.7 ppb, the OR was 0.81 (95% CI 0.69 – 0.95). For PM2.5 we found a concentration-response function that was consistent with a slight monotonic increase: at lower concentrations of PM2.5, from 5.6 to 8.0 μg/m3, the OR was 0.89 (95% CI 0.76 – 1.03) and at higher concentrations, from 15.6 to 19.2 μg/m3, the OR was 1.20 (95% CI 0.96 – 1.51). For chronic lymphocytic leukemia we found an OR per 5 ppb of NO2 of 0.92 (95% CI 0.86 – 1.00) and an OR per 10 μg/m3 of PM2.5 of 0.63 (95% CI 0.42 – 0.94). We found no association for exposure to PM2.5. The n-shaped curve for NO2 may be related to urban-rural differences and/or to possible selection bias. From this thesis it is clear that given the dearth of studies in adult leukemia further research is needed.

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)0.002
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 score0.015
Threshold uncertainty score0.107

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
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 head0.020
GPT teacher head0.293
Teacher spread0.273 · 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
Published2014
Admission routes1
Has abstractyes

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