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Climate Conditions, Weather Changes, and Air Pollutants and Atopic Dermatitis

2025· article· en· W4411627885 on OpenAlex
Megan Park, Samiha Mohsen, T. Katz, Siddhartha Sood, Sheena Maureen T. Sy, Bram Rochwerg, Aaron M. Drucker

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

VenueJAMA Dermatology · 2025
Typearticle
Languageen
FieldMedicine
TopicDermatology and Skin Diseases
Canadian institutionsImpactWomen's College HospitalMcMaster UniversityUniversity of Toronto
Fundersnot available
KeywordsMedicineAtopic dermatitisObservational studyEnvironmental healthRelative riskCohort studyConfidence intervalDermatologyInternal medicine

Abstract

fetched live from OpenAlex

Importance: Climate change and pollution are major health threats that have the potential to worsen the burden of common diseases, such as atopic dermatitis, that are affected by the environment. Objective: To summarize and assess the certainty of evidence on associations between environmental factors and atopic dermatitis outcomes. Data Sources: MEDLINE, EMBASE, and Cochrane databases were systematically searched from inception to June 28, 2024. Study Selection: Studies included observational studies (cohort, case-control, and cross-sectional) that assessed the association observational studies that assessed associations between climate conditions (eg, ambient air pollution, weather, and climate) and atopic dermatitis outcomes in adults 18 years and older. Searches combined Medical Subject Heading terms and keywords for atopic dermatitis and each environmental factor, with no language, date, or geographical restrictions. Data Extraction and Synthesis: Data were synthesized using random-effects models, with pooled estimates reported alongside 95% CIs, and the Grading of Recommendations Assessment, Development, and Evaluation was used to assess the certainty of the evidence across outcomes. Main Outcomes and Measures: Atopic dermatitis prevalence or severity. Results: Of 11 402 citations identified, 42 studies were included. There was an increase in atopic dermatitis outpatient clinic visits for every 10-μg/m3 increase in particulate matter 10 μm in diameter or less (risk ratio [RR], 1.008; 95% CI, 1.003-1.012; high certainty), particulate matter 2.5 μm in diameter or less (RR, 1.013; 95% CI, 0.999-1.027; moderate certainty), sulfur dioxide (RR, 1.029; 95% CI, 1.020-1.039; high certainty), and nitrogen dioxide (RR, 1.014; 95% CI, 0.999-1.030; moderate certainty). Extreme environmental temperatures (hot and cold) were are associated with increased atopic dermatitis-related clinical visits (moderate to high certainty). Higher precipitation, including rain, may be associated with increased atopic dermatitis severity (low certainty), and higher levels of humidity are probably associated with increased atopic dermatitis severity (moderate certainty). Increased duration of sunlight exposure had an uncertain association with atopic dermatitis severity (very low certainty). Secondhand smoking exposure and traffic and industrial plant exposure are probably associated with increased atopic dermatitis prevalence (moderate certainty). Conclusions and Relevance: The results of this systematic review and meta-analysis suggest that increased levels of environmental pollutants and temperature extremes are associated with increased population burden of atopic dermatitis. Measures to mitigate pollution and climate change may improve atopic dermatitis 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.

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 score0.058
Threshold uncertainty score0.568

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)0.0000.000

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 head0.007
GPT teacher head0.269
Teacher spread0.262 · 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