Bibliographic record
Abstract
Providencia stuartii is an opportunistic pathogen and may cause health-care infections. They mostly cause urinary-catheter-related infections. Meningitis associated with this bacterium is extremely rare. Here we report a P. stuartii meningitis in a patient with external lumbar drainage in the neurosurgery unit. A fifty-seven-year old male patient was admitted to the neurosurgery department with headache and confusion. There was a subarachnoidal hemorrhage on computerized tomography (CT) scan and he was transferred to the intensive care unit. His neurological evaluation showed a grade 3a mental status according to the Yasargil classification and a Glasgow coma scale of 14. The CT-angiography and digital subtraction angiography revealed multiple arterial aneurisms. Coil embolization was made for three of the aneurisms. Since the patient had hydrocephalus on his follow-up on the 14th day, a lumbar drainage (LD) catheter was inserted. Daily cerebrospinal fluid (CSF) analyses were performed. On the 7th day of the LD the CSF findings revealed meningitis and P. stuartii was revealed from the three subsequent CSF cultures. The LD was removed and daily lumbar punctures and CSF cultures were performed. On the 7th day of his antibiotic therapy his laboratory findings returned to normal levels. Following CSF cultures were negative. The antibiotic therapy continued to 21 days. His meningitis was cured. To the authors’ knowledge there were only two patients with P. stuartii meningitis in the literature and this is the third one. J Neurol Res. 2011;1(1):37-39 doi: https://doi.org/10.4021/jnr105e
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.006 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
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".