Bibliographic record
Abstract
BACKGROUND: Toxic shock syndrome (TSS) is an acute, severe, toxin-mediated disease, characterized by fever, hypotension, and multiorgan system involvement. Toxic shock syndrome has made headlines because of its high associated morbidity and mortality rate in previously healthy young females. Incidence peaked in the early 1980s owing to increased usage of ultra-absorbent tampons. After improved patient education and tampon labeling, the incidence of menstrual TSS has declined. CASE: A previously healthy 14-year-old girl presented to an urgent care center with a 2-day history of fever, erythematous maculopapular rash, vomiting, diarrhea, and malaise. She was found to be tachycardic and hypotensive. Investigations revealed thrombocytopenia, an elevated white count and lactate, and acute kidney injury, consistent with septic shock. Recent tampon usage with menstruation was reported, and a pelvic examination revealed purulent vaginal discharge. The patient was transferred to a pediatric intensive care unit for antibiotic and vasopressor therapy. Vaginal swabs later tested positive for Staphylococcus aureus and TSS toxin-1. CONCLUSIONS: Although the incidence of TSS has decreased in recent years, it is crucial that clinicians rapidly recognize and treat this life-threatening condition. Emergency physicians should always have a high index of suspicion for TSS in young females presenting without another obvious cause of shock. A pelvic examination should always be completed in these cases.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".