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Extraocular muscle cysticercosis mimicking idiopathic orbital inflammation: case report

2007· review· en· W2098464525 on OpenAlexaff
Hélio Angotti Neto, Allan Christian Pieroni Gonçalves, Frederico Castelo Moura, Mário Luiz Ribeiro Monteiro

Bibliographic record

VenueArquivos Brasileiros de Oftalmologia · 2007
Typereview
Languageen
FieldMedicine
TopicParasitic infections in humans and animals
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsExtraocular musclesCysticercosisMedicineInferior rectus muscleOrbit (dynamics)PrednisoneSuperior rectus muscleLesionBiopsyPathologyAnatomySurgery

Abstract

fetched live from OpenAlex

Presentation of one case of extraocular muscle enlargement caused by cysticercosis, its clinical, diagnostic and treatment aspects, and review of the literature on this theme. A female 38-year-old patient with extraocular muscle enlargement and a small cystic lesion at the superior rectus muscle insertion was treated with oral prednisone for almost one year, with a non-specific inflammation of right orbit diagnosis. There were important ocular motility restriction and pain. Computerized tomography disclosed a superior rectus muscle thickening with a small cystic and apparently empty lesion at the muscle's insertion. Excisional biopsy and histopathological study confirmed the clinical suspicion of cysticercosis. There was partial resolution of the restricted motility. Extraocular muscle cysticercosis is the most common site of this disease when involving the orbit. Oral albendazole and prednisone are efficient, but a long history of disease can lead to important residual ocular motility restriction.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.115
GPT teacher head0.408
Teacher spread0.294 · 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 designCase report
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

Citations12
Published2007
Admission routes1
Has abstractyes

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