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Record W4288788928 · doi:10.4103/pajo.pajo_31_22

Neuroretinitis as the only manifestation of Lyme disease

2022· article· en· W4288788928 on OpenAlexaff
Mateus Pimenta Arruda, Marcio Augusto Nogueira Costa, Jacqueline Coblentz, Miguel N. Burnier

Bibliographic record

VenueThe Pan-American Journal of Ophthalmology · 2022
Typearticle
Languageen
FieldImmunology and Microbiology
TopicVector-borne infectious diseases
Canadian institutionsMcGill University Health CentreMcGill University
Fundersnot available
KeywordsLyme diseaseDoxycyclineBorrelia burgdorferiSerologyMedicineLYMEVirologyDermatologyImmunologyBiologyMicrobiologyAntibodyAntibiotics

Abstract

fetched live from OpenAlex

Lyme disease is a multisystemic infection caused by the spirochete bacterium Borrelia burgdorferi , transmitted by the tick of the genus Ixodes sp. and has three stages: primary, secondary, and tertiary. Ocular involvement is possible in any of these stages. Neuroretinitis is a rare manifestation. It is recommended that the diagnosis be performed by serology using an immunoenzymatic test, and confirmed by the Western Blot test. The recommended therapy is doxycycline 100 mg 12/12 h or 200 mg once a day for 14 days to 21 days or amoxicillin 500 mg three times a day for 14–21 days. We herein present a patient who had neuroretinitis related to a previous diagnosis of Lyme disease. The presence of neuroretinitis in a setting of Lyme disease represents a very uncommon manifestation of this particular infection.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.183
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.013
GPT teacher head0.266
Teacher spread0.254 · 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.

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

Citations1
Published2022
Admission routes1
Has abstractyes

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