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Record W3033161084 · doi:10.3390/healthcare8020157

Presentation of Acrodermatitis Chronica Atrophicans Rashes on Lyme Disease Patients in Canada

2020· article· en· W3033161084 on OpenAlexaboutno aff
John D. Scott

Bibliographic record

VenueHealthcare · 2020
Typearticle
Languageen
FieldImmunology and Microbiology
TopicVector-borne infectious diseases
Canadian institutionsnot available
Fundersnot available
KeywordsLyme diseaseBorrelia burgdorferiDermatologyRashMedicineDoxycyclineDiseaseZoonosisTick-borne diseaseImmunologyTickVirologyPathologyBiologyMicrobiologyAntibiotics

Abstract

fetched live from OpenAlex

Lyme disease (Lyme borreliosis) is a complex multisystem illness with varying clinical manifestations. This tick-borne zoonosis is caused by the spirochetal bacterium, Borrelia burgdorferi sensu lato (Bbsl) and, worldwide, presents with at least 20 different types of rashes. Certain cutaneous rashes are inherently interconnected to various stages of Lyme disease. In this study, five Canadian Lyme disease patients from a multi-age range presented various phases of the acrodermatitis chronica atrophicans (ACA) rash. In each case of ACA, the underlying etiological pathogen was the Lyme disease spirochete. Although ACA rashes are normally found on the lower extremities, this study illustrates that ACA rashes are not directly correlated with a tick bite, geographic area, age, Bbsl genospecies, exercise, or any given surface area of the body. Case 4 provides confirmation for an ACA rash and gestational Lyme disease. One patient (Case 5) puts forth a Bbsl and Bartonella sp. co-infection with a complex ACA rash. This study documents ACA rashes on Lyme disease patients for the first time in Canada.

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)0.000
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 score0.035
Threshold uncertainty score0.436

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 studies0.0000.000
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 head0.014
GPT teacher head0.246
Teacher spread0.231 · 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

Citations12
Published2020
Admission routes1
Has abstractyes

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