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Alveolar Echinococcosis of the Spine

2001· article· en· W2093276732 on OpenAlexaboutno aff
Frédéric Toussaint, Patrice Péré, Laurent Le Chaffotec, Philippe Grandhaye, J Pourel, Isabelle Chary-Valckenaere

Bibliographic record

VenueJCR Journal of Clinical Rheumatology · 2001
Typearticle
Languageen
FieldMedicine
TopicParasitic infections in humans and animals
Canadian institutionsnot available
Fundersnot available
KeywordsEchinococcus granulosusMedicineEchinococcosisEchinococcus multilocularisPathologyMagnetic resonance imagingSerologyOsteolysisEchinococcusRadiographyRadiologyBiologyAntibody

Abstract

fetched live from OpenAlex

Alveolar echinococcosis (AE) is a rare parasitic disease caused by the larval stage of Echinococcus multilocularis. It differs from cystic echinococcosis caused by Echinococcus granulosus. The main endemic areas of AE are Alaska, Canada, Japan, and parts of Europe. Hepatic involvement invariably occurs, but it is unusual for bone to be affected. We report the case of a woman presenting with a long history of pain, cachexia, morning stiffness, and biological signs of inflammation. Radiographs and principally magnetic resonance images were nonspecific, showing inhomogeneous osteolysis of vertebral bodies without loss of intervertebral disc height but with a paravertebral mass. The diagnosis ultimately relied on pathological examination, which showed an anhistic laminated membrane colored in red with Periodic-Acid-Schiff surrounding a central cavity, and by the serologic testing, principally ELISA Em2(+) method, which allowed a 97% specificity and 99% specificity in the diagnosis of AE. AE involving bone is an uncommon condition. Although magnetic resonance imaging can be used to search for local complications, the features it detects are, like those revealed by radiographs, nonspecific and can lead to AE being misdiagnosed as neoplasm or tuberculous osteitis. When a patient presents with suspected AE in an endemic area, the diagnosis can be achieved by serological testing alone (Western blot and Em2(+) ELISA), thereby avoiding the need for biopsy.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.031
Threshold uncertainty score0.438

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.070
GPT teacher head0.442
Teacher spread0.372 · 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.

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

Citations13
Published2001
Admission routes1
Has abstractyes

Explore more

Same venueJCR Journal of Clinical RheumatologySame topicParasitic infections in humans and animalsFrench-language works237,207