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An Overview of the Pediatric Toxidromes and Poisoning Management

2020· review· en· W3110569241 on OpenAlexaff
Wun Fung Hui, Kam‐Lun Ellis Hon, Alexander K. C. Leung

Bibliographic record

VenueCurrent Reviews in Clinical and Experimental Pharmacology · 2020
Typereview
Languageen
FieldMedicine
TopicPoisoning and overdose treatments
Canadian institutionsAlberta Children's HospitalUniversity of Calgary
Fundersnot available
KeywordsMedicineMedical emergencyIntensive care medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Poisoning is one of the leading causes of childhood morbidity and mortality worldwide. Despite the advancement of poison detection by modern investigation methods, the clinical skill of toxidrome recognition by combining the findings from a detailed history, thorough physical examination, and the results of basic investigations is still indispensable for the management of children with suspected poisoning. OBJECTIVE: The aim was to review pediatric toxidromes and poisoning management. METHODS: A literature search was conducted on PubMed (between February 1 and 15, 2020) with keywords "toxidrome" "poisoning" "intoxication" "children" and "pediatric". The search was customized by applying the appropriate filters so as to get the most relevant articles to meet the objective of this review article. RESULTS: Toxidrome recognition may offer a quick guide to possible toxicology diagnosis so that specific antidote can be administered in a timely manner. This article discusses a few commonly encountered toxidromes in pediatric poisoning, with an emphasis on the symptomatology and source of exposure. The antidote and specific management for each toxidrome are also discussed. Although most patients with intoxication can be managed with close observation, supportive measures and antidote treatment, it is unfortunate that antidotes are only available for a limited number of poisons responsible for intoxication. Extracorporeal toxin removal is being increasingly recognized as a mode of treatment for patients with rapid deterioration who are unresponsive to conventional management. The decision to apply such technique and the choice of modality are frequently individualized due to the paucity of high-level evidence. The various patient and toxin/medication factors involved in the decision- making process are discussed. CONCLUSION: Poisoning is a common cause of pediatric accidents and injuries. Physicians should be familiar with common toxidromes and poisoning management.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.980
Threshold uncertainty score0.976

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.319
GPT teacher head0.575
Teacher spread0.257 · 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 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

Citations19
Published2020
Admission routes1
Has abstractyes

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