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Record W4366997678 · doi:10.21203/rs.3.rs-2861101/v1

Case report of 2,4,D poisoning in st. Pauls hospital millennium medical college

2023· preprint· en· W4366997678 on OpenAlexaff
Tsion Teshome, Woldesenbet Waganew, Bekele Getnet, Benyam Bahta

Bibliographic record

VenueResearch Square · 2023
Typepreprint
Languageen
FieldMedicine
TopicPoisoning and overdose treatments
Canadian institutionsSt. Paul's Hospital
Fundersnot available
KeywordsVomitingCase fatality rateMedicineUrineHemodialysisNauseaIntensive care medicinePediatricsSurgeryInternal medicine

Abstract

fetched live from OpenAlex

Abstract Background 2,4-Dichlorphenoxyacetic acid (2,4-D) a chlorphenoxy group pesticide, is a selective herbicide widely used to kill broad-leaved plants in wheat cultivation. This toxin is extremely lethal, with a fatality rate that approaches 100%. This poison's severe pulmonary, renal, neurological, gastrointestinal, and myotoxic effects result in fast demise and multi-organ failure. Poisoned patients should be given the option of urine alkalization with high-flow urine output and hemodialysis in addition to supportive care The aim of this report is to explicitly the case's diagnosis, differential, treatment, and related challenges in relation to the available literature. Case report: we report a case of 20 years old male patient who presented to the ED after he ingested an unspecified amount of 2,4-D herbicide & lost consciousness for about 16 hours’ duration. Associated with this was frequent vomiting of unspecified amounts of ingested matter. Conclusion: There is a significant lack of knowledge gap among farmers about pesticide use. poisoned patients should be given the option of urine alkalization with high-flow urine output and hemodialysis in addition to supportive care as much as possible.

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 score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0040.001
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0060.001

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 head0.095
GPT teacher head0.441
Teacher spread0.347 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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