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Latent Tuberculosis Infection Screening and 2-Year Outcome in Antiretroviral-Naive HIV-Infected Patients in a Low-Prevalence Country

2015· article· en· W2117231096 on OpenAlex

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

VenueAnnals of the American Thoracic Society · 2015
Typearticle
Languageen
FieldMedicine
TopicInfectious Diseases and Tuberculosis
Canadian institutionsHotel Dieu Hospital
Fundersnot available
KeywordsMedicineTuberculosisInterquartile rangeLatent tuberculosisTuberculinInternal medicineAsymptomaticProspective cohort studyQuantiFERONIncidence (geometry)Mycobacterium tuberculosisImmunologyPathology

Abstract

fetched live from OpenAlex

BACKGROUND: Diagnosis and treatment of latent tuberculous infection decrease the incidence of tuberculosis (TB) in HIV-infected patients. OBJECTIVES: To evaluate the diagnostic yield of two IFN-γ release assays and tuberculin skin testing for the screening of latent infection in HIV-infected patients. METHODS: We performed a prospective study in 29 referral centers for HIV care in France. Asymptomatic, antiretroviral-naive patients infected with HIV-1 who consented to participate underwent two commercial tests (T-SPOT.TB and QuantiFERON-TB Gold In-Tube ELISA test [QFT]) and skin test at enrollment and were followed up for clinical events during 24 months. RESULTS: Between March 2009 and 2011, 506 patients were included, of whom 415 performed the three tests. Median age was 38 years (interquartile range, 31-45 yr), with median CD4 cell count of 466/μL (337-615 μL), and HIV viral load of 4.5 log10 copies/ml (3.6-4.9 log10 copies/ml). At least one IFN-γ release assay was positive for 55 (13.5%) patients: QFT (n = 43), T-SPOT.TB (n = 34), both (n = 22). Skin test was positive (>5 mm) in 66 (15.9%) patients, with intertest agreement at 81 to 86%. On multivariate analysis, positive IFN-γ release assay was only correlated with country of birth (8.4% for France vs. 17.9% for high-prevalence countries, P = 0.004). Of the 55 patients with positive IFN-γ release assay, 8 (14.5%) developed active TB, all within 120 days. No other case of active TB was diagnosed. Once active TB was excluded, IFN-γ release assay-based latent infection prevalence was 11.8%. CONCLUSIONS: Systematic screening for latent TB infection by IFN-γ release assay identifies a population at high risk of active TB over the next months. An extensive diagnostic work-up for active TB must follow positive IFN-γ release assay, before considering treatment of latent infection. Clinical trial registered with www.clinicaltrials.gov (NCT00805272).

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 score0.004
Threshold uncertainty score0.606

Codex and Gemma teacher scores by category

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

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 head0.050
GPT teacher head0.357
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