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Air Pollution and Cardiovascular Disease: A Review

2016· review· en· W2738593593 on OpenAlex

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.

Bibliographic record

VenueCritical Reviews in Biomedical Engineering · 2016
Typereview
Languageen
FieldEnvironmental Science
TopicAir Quality and Health Impacts
Canadian institutionsSt. Joseph’s Healthcare HamiltonMcMaster University
Fundersnot available
KeywordsMedicineAir pollutionEnvironmental healthMyocardial infarctionDiseasePollutionStroke (engine)ToxicologyCardiologyInternal medicineBiologyEcology

Abstract

fetched live from OpenAlex

Air pollution is comprised of different compounds and particulate matter (PM) of sizes 2.5 and 10 μm, with the former size posing the greatest danger to humans. Evidence suggests that the global rise in air pollution levels during the past century is correlated with the increased incidence of diseases of the cardiovascular system. On a global scale, 7 million individuals died as a result of the effects of air pollution in 2012. Air pollution leads to tremendous amounts of financial burden (in 2010, $16 trillion in the US and Europe) on the health-care system. The severity of effects experienced by varying populations due to air pollution can differ due to locale, length of exposure, weather conditions, residential proximity to major highways or factories, and soil aridity. Pollutants affect the heart, blood vessels, and blood at a molecular level through proinflammatory or oxidative stress response, autonomic nervous system imbalance, and the direct permeation of harmful compounds into the tissue. The dysfunction of cells and biological processes of the cardiovascular system due to PM leads to an increased prevalence of cardiovascular diseases (CVDs) such as atherosclerosis, hypertension, myocardial infarction, thrombosis, and restricted valve motion. Studies in countries such as China have shown an increase of 0.25% in ischemic heart disease (IHD) mortality and a 0.27% increase in IHD morbidity due to a 10 μg/m3 increase in PM. In a study conducted in the US, PM2.5 concentrations ranged from 9.2-22.6 μg/m3, and every 5-μg/m3 increase in PM2.5 caused coronary calcification to increase by 4.1 Agatston units/yr. Studies on traffic-related air pollution found that nonhypertensive participants residing within 100 m of major roadways experienced an increase in systolic (0.35 mmHg) and diastolic (0.22 mmHg) blood pressure as a result of increases in traffic. The progression of CVD due to pollution has been found to fluctuate within individuals based on age, gender, location of exercise, smoking, pregnancy, diabetes, preexisting cardiovascular or pulmonary diseases, and other factors. Considering the number of individuals affected by pollution on a daily basis and the burden that this places on society through the health-care system, immediate preventive measures are needed to address these problems. Increased knowledge about the widespread effects of pollution on human physiological systems should aid in remediating the problem across the globe. Biomedical engineers can have a great positive impact in developing better instrumentation to measure discrete pollutants and characterizing their harmful effects on physiological systems.

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)0.003
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.861
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.058
GPT teacher head0.368
Teacher spread0.309 · 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