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Record W4415386606 · doi:10.1136/military-2025-003107

Scorpion sting: a narrative review and proposed guidelines for contemporary UK armed forces operations

2025· review· en· W4415386606 on OpenAlexaff
Daniel Wilkins, Scott J C Pallett, J F Potter, Stephen Woolley, Gary Holden, Kenneth R. Chapman, Alex Kew, David A. Warrell, David G. Lalloo, Leslie R. Lamb

Bibliographic record

VenueBMJ Military Health · 2025
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVenomous Animal Envenomation and Studies
Canadian institutionsInstitute of Infection and Immunity
Fundersnot available
KeywordsNarrative reviewRelevance (law)ScorpionEpidemiologyNarrativePoison controlEnvenomationSuicide prevention

Abstract

fetched live from OpenAlex

Scorpions are venomous arthropods with a wide geographical footprint and are endemic throughout all UK Armed Forces operational areas outside of Northern Europe. Scorpion stings are common on military exercises and operations. Here, we present a narrative review summarising epidemiological data pertaining to scorpions in geographical areas of contemporary operational relevance to the UK Armed Forces and suggest evidence-based treatment recommendations suitable for use in a military environment, providing an update to the last detailed review in 2008. The overwhelming majority of stings will result only in local pain and can be managed with analgesia at Role 1 medical treatment facilities. The risk of severe envenoming is greatest in the Middle East. Children and pregnant women are at increased risk of severe envenoming which most commonly manifests as hypertensive crisis. These patients should be evacuated to hospital care and managed supportively in a critical care environment.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.540
Threshold uncertainty score1.000

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 head0.155
GPT teacher head0.474
Teacher spread0.319 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations0
Published2025
Admission routes1
Has abstractyes

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