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Comorbidity of rosacea and depression: an analysis of the National Ambulatory Medical Care Survey and National Hospital Ambulatory Care Survey-Outpatient Department data collected by the U.S. National Center for Health Statistics from 1995 to 2002

2005· article· en· W1966064835 on OpenAlex
Madhulika A. Gupta, Aditya K. Gupta, S.J. Chen, Andrew M. Johnson

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

VenueBritish Journal of Dermatology · 2005
Typearticle
Languageen
FieldMedicine
TopicAcne and Rosacea Treatments and Effects
Canadian institutionsUniversity of TorontoMediprobe Research (Canada)Western University
Fundersnot available
KeywordsRosaceaMedicineDepression (economics)Ambulatory careAlcohol abuseAmbulatoryNational Comorbidity SurveyAlcohol dependencePsychiatryOdds ratioComorbidityHealth careDermatologyInternal medicineAlcohol

Abstract

fetched live from OpenAlex

BACKGROUND: Psychogenic factors have been considered to be important in the exacerbation and possibly the onset of rosacea. However, there are very few studies that have reported conclusive findings. OBJECTIVES: To examine the association between rosacea and major depressive disease, a common and usually treatable psychiatric disorder. METHODS: Data from 1995 to 2002, collected by the National Ambulatory Medical Care Survey and the outpatient component of the National Hospital Ambulatory Care Survey, which are both nationally representative surveys of healthcare visits in the U.S.A., were studied. The basic sampling unit in both surveys is the patient visit or encounter. A "Rosacea" variable was created by grouping all rosacea (ICD-9-CM code 695.3) visits and a "Depression" variable was created by grouping the patient visits related to major depressive disorder (ICD-9-CM codes 296.2, 296.3 and 311). As alcohol abuse has been implicated in rosacea, and alcohol can confound symptoms of depression, an "Alcohol" variable was created by grouping all ICD-9-CM codes related to alcohol dependence and abuse (codes 303, 303.0, 303.9 and 305.0). All analyses were conducted using the Complex Samples module of SPSS version 13, to account for the multistage probability sampling design used to collect the data. RESULTS: The weighted data were representative of over 608 million dermatology visits between 1995 and 2002. Logistic regression analysis using "Rosacea" as the dependent variable and age, sex, "Alcohol" and "Depression" as independent variables revealed that the odds ratio for depressive disease in the rosacea group was 4.81 (95% confidence interval 1.39-16.62). The association between "Alcohol" and "Rosacea" was not significant. CONCLUSIONS: The comorbidity between major depressive disease and rosacea may have important clinical implications. Alcohol abuse does not appear to play a significant role in this association.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.144
Threshold uncertainty score0.502

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.029
GPT teacher head0.335
Teacher spread0.306 · 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