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The changing demographics of new HIV diagnoses at a London centre from 1994 to 2000

2002· article· en· W1967645743 on OpenAlexfundno aff
SM Barry, S.J. Lloyd-Owen, SJ Madge, Alessandro Cozzi‐Lepri, AJ Evans, AN Phillips, MA Johnson

Bibliographic record

VenueHIV Medicine · 2002
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsnot available
FundersSustainable Development Technology Canada
KeywordsMedicineDemographicsHuman immunodeficiency virus (HIV)Medical diagnosisFamily medicineDemographyPathology

Abstract

fetched live from OpenAlex

OBJECTIVE: To document the demographic changes in new HIV diagnoses at the Royal Free Hospital, London, UK, between 1994 and 2000. DESIGN: Retrospective case note review. METHODS: Data were extracted from the Royal Free HIV database identifying new diagnoses for 1994, 1997 and 2000. All case notes were reviewed and patients were included if they had their first positive HIV test at the Royal Free Hospital, or if they first tested positive elsewhere and attended the Royal Free HIV unit for their initial HIV care. Data extracted included sex, ethnicity, age, risk factor(s) for HIV, reason for test, clinical stage of disease, CD4 count and HIV RNA viral load at diagnosis. RESULTS: One hundred and forty-four patients were identified for 1994, 136 for 1997 and 110 for 2000. Over this time period the proportion of white patients dropped from 72% (n = 104) to 48% (n = 53), P = 0.0001, whilst the proportion of black Africans rose from 24% (n = 34) to 45% (n = 49), P = 0.0004. The median CD4 count at diagnosis of the white cohort was 475 cells/microL in 1994 and 286/microL in 2000, P = 0.005, whilst in the black African patients it was 240/microL and 230/microL for the same years. CONCLUSIONS: There has been a reduction in new HIV diagnoses among the white population and a rise in the black Africans at this centre between 1994 and 2000. The clinical and immunological parameters of HIV disease have worsened over this time period for the white group, but have remained stable in the black Africans.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.466
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.000

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 head0.300
Teacher spread0.270 · 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.

Study designNot applicable
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

Citations24
Published2002
Admission routes1
Has abstractyes

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