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Record W2166437412 · doi:10.4269/ajtmh.2002.66.749

Serology and eosinophil count in the diagnosis and management of strongyloidiasis in a non-endemic area.

2002· article· en· W2166437412 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

VenueAmerican Journal of Tropical Medicine and Hygiene · 2002
Typearticle
Languageen
FieldImmunology and Microbiology
TopicParasites and Host Interactions
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsStrongyloidiasisSerologyStrongyloides stercoralisStrongyloidesImmunologyEosinophilMedicinePopulationHelminthiasisFecesImmunoassayInternal medicineAntibodyHelminthsBiologyAsthmaEnvironmental healthMicrobiology

Abstract

fetched live from OpenAlex

Strongyloidiasis is a chronic infection that may result in significant morbidity; however, diagnosis and management remain problematic. The objective of this study was to 1) evaluate the demographic, clinical, and laboratory features of 76 consecutive individuals who had Strongyloides stercoralis larvae identified in their fecal specimens; 2) determine the sensitivity of the Centers for Disease Control and Prevention (CDC) enzyme immunoassay (EIA) for detecting antibodies to Strongyloides in those with confirmed infection; and 3) assess the serologic responses and changes in eosinophil counts following treatment. Most (96%) cases occurred in immigrants, but some patients had immigrated as long as 40 years earlier. The CDC Strongyloides EIA had a sensitivity of 94.6% (95% confidence interval = 92.0-97.2%) in this patient population with proven infection. Serologic and eosinophil counts decreased after therapy, suggesting that they may be useful markers of treatment success.

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 score0.095
Threshold uncertainty score0.201

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.026
GPT teacher head0.293
Teacher spread0.267 · 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