No relationship between late <scp>HIV</scp> diagnosis and social deprivation in newly diagnosed patients in France
Bibliographic record
Abstract
OBJECTIVES: The aim of the study was to determine whether there is a relationship between social deprivation and time of HIV diagnosis in France. METHODS: Prospectively collected data from a multicentre database were used in the study. Patients with a first HIV diagnosis between 1 January 2014 and 31 December 2015 were selected from the database. Deprivation was measured using the European Deprivation Index (EDI), which is an ecological index constructed from the address of residence and based on the smallest geographical census unit, in which individuals are classified so as to be comparable with national quintiles. Time of diagnosis was classified as being at an early, intermediate, late, or advanced stage of disease. Age, gender, distance from home to HIV centre, most probable route of infection, and hepatitis B or C coinfection were considered in the analysis. Because of a strong interaction between gender and most probable route of infection, we constructed a 'population' variable: men who have sex with men (MSM), heterosexual men and women. RESULTS: Of 1421 newly diagnosed patients, 44% were diagnosed either late or at an advanced stage of disease, and 46.3% were in the highest deprivation quintile. Using multivariate logistic regression, 'population' [odds ratio (OR) 0.62 (95% confidence interval (CI) 0.48-0.78) for MSM compared with women] and age [OR 1.39 (95% CI 1.07-1.80), 1.72 (1.32-2.23) and 1.86 (1.40-2.47) for the second, third and fourth quartiles, respectively, compared with the first quartile] were found to be related to late diagnosis. EDI level was not related to late HIV diagnosis. CONCLUSIONS: 'Population' seems to be more relevant than EDI to define evidence-based interventions to limit late diagnosis.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".