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Record W173759351

Humoral response to Mycobacterium tuberculosis antigens in patients with tuberculosis in the Gambia.

2005· article· en· W173759351 on OpenAlexaff
Christina Greenaway, Christian Lienhardt, Richard A. Adegbola, P Brusasca, K. McAdam, Daniel Menzies

Bibliographic record

VenuePubMed · 2005
Typearticle
Languageen
FieldMedicine
TopicTuberculosis Research and Epidemiology
Canadian institutionsJewish General Hospital
Fundersnot available
KeywordsMedicineMolecular biologyGynecologyBiology
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To determine and compare the sensitivity and specificity of four common mycobacterial antigens with three RD-1 region antigens in the serological diagnosis of active pulmonary tuberculosis (PTB) in the Gambia. DESIGN: Serum from 300 Gambians (100 with active PTB, 100 of their household contacts, and 100 community controls) was tested using an ELISA method to detect antibodies to seven mycobacterial antigens (three encoded in the RD-1 region [ESAT-6, CFP-10 and Rv3871] and four common [38 kDa, GLU-S, 19 kDa and 14 kDa]). Individuals with active TB were recruited from one of the National Leprosy and TB Control Program clinics in the western region of the Gambia, and neighborhood controls were an age-matched individual living within five houses of the case. RESULTS: The sensitivity of the RD-1 antigens ranged from 34% to 67%, while specificity ranged from 51% to 71%. The sensitivity of the common antigens ranged from 24% to 75% and specificity from 26% to 75%. CONCLUSION: In countries with high rates of TB, such as the Gambia, the clinical utility of serological testing to diagnose active TB remains limited, even with newer antigens encoded in the RD-1 region of Mycobacterium tuberculosis.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.271
Teacher spread0.251 · 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 source (direct Gemma or distilled Codex), 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

Citations37
Published2005
Admission routes1
Has abstractyes

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