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Record W2755860460 · doi:10.14740/jh325w

Methemoglobinemia: A Rare Entity Caused by Commonly Used Topical Anesthetic Agents, a Case Report

2017· article· en· W2755860460 on OpenAlexvenueno aff
Prashanth Rawla, Jeffrey Pradeep Raj

Bibliographic record

VenueJournal of Hematology · 2017
Typearticle
Languageen
FieldMedicine
TopicMethemoglobinemia and Tumor Lysis Syndrome
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMethemoglobinemiaBenzocaineAdverse effectAnesthesiaAnestheticLocal anestheticTopical anestheticIntensive care medicineEndotracheal intubationIntubationSurgeryInternal medicine

Abstract

fetched live from OpenAlex

Benzocaine, a topical anesthetic agent, is widely used during short procedures like endoscopy, endotracheal intubation and likewise. Here we report a case of benzocaine spray-induced methemoglobinemia in an adult male patient during the transesophageal echocardiography (TEE) presenting as hypoxia and improved subsequently in the next 2 h on low-dose intravenous methylene blue. Causality assessment of the adverse event was probable, and preventability assessment was unpreventable. The patient was discharged with no further complications at good health. A relevant etiopathology and managing principles are summarized in this case report such that it serves as an awareness to all medical fraternity about this unexpected yet life-threatening adverse drug reaction to an otherwise safe local anesthetic.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.035
GPT teacher head0.334
Teacher spread0.298 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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

Citations2
Published2017
Admission routes1
Has abstractyes

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