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Characteristics of patients diagnosed with AIDS shortly after first detection of HIV antibodies in Lyon University hospitals from 1985 to 2001<sup>*</sup>

2004· article· en· W2022595129 on OpenAlexaff
D. Baratin, E. Marceillac, C. Trépo, Laurent Cotte, D. Peyramond, C. Chidiac, J‐L Touraine, J‐M Livrozet, J. Fabry, R. W. Allard, Philippe Vanhems

Bibliographic record

VenueHIV Medicine · 2004
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsMcGill UniversityHotel Dieu Hospital
Fundersnot available
KeywordsMedicineConfidence intervalOdds ratioHeterosexualityPneumoniaPneumocystis cariniiPediatricsInternal medicineOpportunistic infectionHuman immunodeficiency virus (HIV)Viral diseaseImmunologyHomosexualityPneumocystis jirovecii

Abstract

fetched live from OpenAlex

A diagnosis of AIDS shortly after the detection of HIV antibodies suggests a long-lasting course of the disease without care. The factors associated with a short delay between the initial HIV-1-positive test and the first AIDS-defining event were identified in 1901 patients from 1985 to 2001 in Lyon University hospitals. A total of 576 individuals (30.3%) had an interval of </=3 months between the detection of HIV infection and AIDS. The factors independently associated with a delay of </=3 months were: age from 30 to 44 years [odds ratio (OR) 2.5; 95% confidence interval (CI) 1.9-3.2]; age from 45 to 59 years (OR 5.6; 95% CI 3.9-7.8); age >/=60 years (OR 4.5; 95% CI 2.5-8.1), compared to those<30 years old; heterosexuality (OR 2.4; 95% CI 1.6-3.4); injection drug use (OR 2.1; 95% CI 1.5-2.7); and other exposures (OR 2.4; 95% CI 1.6-3.4), compared to homosexual exposure; two opportunistic infections at AIDS (OR 1.8; 95% CI 1.4-2.4) compared to one; and Pneumocystis carinii pneumonia as initial AIDS event (OR 2.6; 95% CI 1.8-3.7), compared to Kaposi's sarcoma. These results provide opportunities to refocus local public health interventions to reduce delayed access to care.

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.

How this classification was reachedexpand

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 score0.008
Threshold uncertainty score0.513

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.008
GPT teacher head0.244
Teacher spread0.236 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations14
Published2004
Admission routes1
Has abstractyes

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