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Record W3194107090 · doi:10.1289/isee.2021.p-303

Air pollution and emergency department visits for diseases of the musculoskeletal system, Toronto, Canada

2021· article· en· W3194107090 on OpenAlex
Mieczysław Szyszkowicz, Nicholas de Angelis

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueISEE Conference Abstracts · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicClimate Change and Health Impacts
Canadian institutionsCarleton UniversityHealth Canada
Fundersnot available
KeywordsInterquartile rangeMedicineConfidence intervalRelative riskRelative humidityEmergency departmentPoisson regressionAir pollutionNitrogen dioxideEnvironmental healthOzoneDemographyAmbulatoryMeteorologyPopulationGeographyInternal medicineChemistry

Abstract

fetched live from OpenAlex

BACKGROUND AND AIM: The objective of this study is to examine the associations between urban ambient air pollution and emergency department (ED) visits due to diseases of the musculoskeletal system in Toronto, Canada. METHODS: The National Ambulatory Care Reporting System database was used to retrieve health cases corresponding to these diseases using ICD-10 codes M00-M99.The studied period is April 2004 to December 2015 (4,292 days). Six air pollutants (fine particulate matter PM2.5, CO, NO2, SO2, ozone O3 as a daily average, ozone O3-8 hour, as a maximum eight hour average) and two indexes were considered. Conditional Poisson regression was applied to daily ED visit counts. Temperature and relative humidity were represented in the form of splines.The potential associations were analyzed by strata (sex, age group, and season: warm/cold) and for lagged concentrations (lag 0-14 days). RESULTS:691,703 ED visits were retrieved, among which 368,089 were female individuals, and 323,614 males. Among 2,160 tested models, 106 positive associations were statistically significant at P-Value0.05. Ozone concentration constituted 24 of the positive associations for exposures lagged by 1 and 8 or more days. Strong effects were obtained for same-day exposures to CO and NO2. Relative risk (RR) was reported for a one interquartile range (IQR) increase in the concentration of NO2 (IQR=8.8 ppb). For nitrogen dioxide RR=1.014 (95% confidence interval: 1.008, 1.020), RR=1.019 (1.011, 1.026), and RR=1.009 (1.002, 1.017) for all, female, and male patients, respectively. The values for CO (IQR=0.1 ppm) in 60+ individuals were: RR=1.013 (1.005, 1.021), RR=1.017 (1.007, 1.027), and RR=1.007 (0.995, 1.019), respectively. CONCLUSIONS:The results suggest that carbon monoxide and nitrogen dioxide concentrations can increase ED visit frequency particularly for same-day exposures. Ground-level ozone showed a delayed effect of one week. The most affected demographic out of those studied were older individuals, as reflected in their relative risk values. KEYWORDS: Air pollution, Exposures, Female, Traffic-related

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.675
Threshold uncertainty score0.870

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 head0.020
GPT teacher head0.275
Teacher spread0.254 · 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