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Record W4284899603 · doi:10.7759/cureus.26630

Vancomycin-Induced Fever and Neutropenia in an Immunocompetent Patient With Complicated Community-Acquired Pneumonia

2022· article· en· W4284899603 on OpenAlexaff
Hind H Alharbi, Ghaya I Al-Qurainees, Abdulqader Al‐Hebshi

Bibliographic record

VenueCureus · 2022
Typearticle
Languageen
FieldMedicine
TopicAntimicrobial Resistance in Staphylococcus
Canadian institutionsPediatric Oncology Group
Fundersnot available
KeywordsMedicineVancomycinNeutropeniaLeukopeniaPneumoniaRashSurgeryInternal medicineStaphylococcus aureusChemotherapy

Abstract

fetched live from OpenAlex

Drug-induced fever can be caused by many medications through several mechanisms. One of the most common mechanisms is an immunologic reaction mediated by drug-induced antibodies. Herein, we report the case of a rare adverse reaction with vancomycin. A six-year-old girl being treated for necrotizing pneumonia with vancomycin developed mild neutropenia, skin rash, and fever two weeks into her therapy. These resolved after stopping vancomycin, with noted reversal of neutropenia and leukopenia. Upon rechallenging the patient with vancomycin, she developed a fever in less than 24 h from the administration. Vancomycin-induced fever was made as a diagnosis of exclusion after all other possible causes were ruled out.

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)0.003
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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.028
GPT teacher head0.271
Teacher spread0.243 · 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

Citations4
Published2022
Admission routes1
Has abstractyes

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