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Record W2030646451 · doi:10.1258/ijsa.2007.007272

Cost effectiveness of enzyme immunoassay and immunoblot testing for the diagnosis of syphilis

2008· article· en· W2030646451 on OpenAlexaffabout
Anderson Chuck, Arto Öhinmaa, Peter Tilley, Ameeta E. Singh, Philip Jacobs

Bibliographic record

VenueInternational Journal of STD & AIDS · 2008
Typearticle
Languageen
FieldMedicine
TopicSyphilis Diagnosis and Treatment
Canadian institutionsAlberta HealthUniversity of AlbertaProvincial Laboratory of Public HealthInstitute of Health Economics
Fundersnot available
KeywordsMedicineImmunoassaySyphilisSyphilis SerodiagnosisTreponematosisVirologySexually transmitted diseaseImmunologyMedical screeningAntibodyGynecologyHuman immunodeficiency virus (HIV)

Abstract

fetched live from OpenAlex

The burden of disease and associated health-care costs of syphilis are significant despite widespread screening and treatment. Our objective was to conduct an economic evaluation using a simulation model when comparing enzyme immunoassay (EIA) initial testing and Inno-Lia (IL) confirmatory testing (EIA + IL) with rapid plasma reagin (RPR) initial testing and Treponema pallidum particle agglutination assay (TPPA) and fluorescent treponemal antibody absorption assay (FTA-ABS) confirmatory testing (RPR + TPPA/FTA). Estimates of prevalence, test costs and utilization of services for 2006 were derived from Alberta databases. Estimates of test characteristics were derived from the available literature. The incremental cost-effectiveness ratio was Canadian $461 per additional correct diagnosis (less costly and more effective). EIA + IL is cost-effective when compared with RPR + TPPA/FTA for screening and diagnosis of syphilis.

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)0.005
metaresearch head score (Gemma)0.018
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.107
Threshold uncertainty score0.213

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.018
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.073
GPT teacher head0.343
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 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

Citations27
Published2008
Admission routes2
Has abstractyes

Explore more

Same venueInternational Journal of STD & AIDSSame topicSyphilis Diagnosis and TreatmentFrench-language works237,207