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Record W2175412631 · doi:10.3109/15563650.2015.1110749

Electromyographic and laboratory findings in acute Solanum torvum poisoning*

2015· article· en· W2175412631 on OpenAlexaff
Robert L. Glover, Nicholas J. Connors, Cristiana Stefan, Ernest Wong, Robert S. Hoffman, Lewis S. Nelson, Mark J. Milstein, Silas W. Smith, Michael Swerdlow

Bibliographic record

VenueClinical Toxicology · 2015
Typearticle
Languageen
FieldMedicine
TopicPoisoning and overdose treatments
Canadian institutionsCentre for Addiction and Mental Health
Fundersnot available
KeywordsMiosisMedicineToxicityEmergency departmentDysmetriaAnesthesiaAtaxiaInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

CONTEXT: Solanum torvum berries, known as susumber or turkey berries, are prepared as part of traditional Jamaican dishes usually served with cod and rice. Poisoning is rare. Although toxic compounds have never been definitively isolated, previous reports suggest toxicity results from inhibition of acetylcholinesterases. We present a case of susumber berry poisoning with detailed electromyographic studies and laboratory analysis. CASE DETAILS: A 54-year-old woman presented to the Emergency Department (ED) complaining of vision, speech, and gait changes; emesis; and diffuse myalgias following consumption of susumber berries. The physical examination demonstrated an intact, lucid mental status, miosis, opsoclonus, severe dysarthria, dysmetria, mild extremity tenderness and weakness, and inability to ambulate. Her symptom constellation was interpreted as a stroke. DISCUSSION: Electromyography demonstrated a pattern of early full recruitment as well as myotonia during the period of acute toxicity. Additionally, solanaceous compounds, in particular solasonine and solanidine, were identified in leftover berries and the patient's serum. Store-bought commercial berries and subsequent serum samples were free of such toxic compounds. EMG studies, together with a laboratory analysis of berries or serum can assist in the differential diagnosis of stroke, and provide both a prognostic screening and confirmation of suspected glycoside toxicity.

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)0.001
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 score0.017
Threshold uncertainty score0.491

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.055
GPT teacher head0.394
Teacher spread0.339 · 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

Citations6
Published2015
Admission routes1
Has abstractyes

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