MétaCan
Menu
Back to cohort
Record W1995112297 · doi:10.4021/jmc.v5i2.1711

Penicillin-Resistant Streptococcus Pneumoniae Meningitis With Subsequent Vertebral Osteomyelitis and Choledocholithiasis

2014· article· en· W1995112297 on OpenAlexvenueno aff
Naoki Kasahata, Naoaki Dan, Toshiyuki Yasui

Bibliographic record

VenueJournal of Medical Cases · 2014
Typearticle
Languageen
FieldMedicine
TopicInfectious Diseases and Tuberculosis
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMeningitisVertebral osteomyelitisOsteomyelitisGallstonesVentriculitisSurgeryComplicationRadiology

Abstract

fetched live from OpenAlex

Penicillin-resistant Streptococcus pneumoniae (PRSP) meningitis is life threatening disease, and prevention and treatment of complication is important. We recently encountered two PRSP meningitis patients with undescribed complications: vertebral osteomyelitis and choledocholithiasis. Patient 1 was a 65-year-old man who presented with PRSP meningitis, disseminated intravascular coagulation (DIC), infective endocarditis, vertebral osteomyelitis, and choledocholithiasis with gallstones. Patient 2 was a 57-year-old man who presented with PRSP meningitis, DIC, acute renal failure, liver dysfunction, vertebral osteomyelitis, and choledocholithiasis with gallstones. Diffusion-weighted brain MRI of both patients revealed high-intensity areas in the posterior horns of the lateral ventricles consistent with ventriculitis. Spinal MRI revealed low-intensity on T1-weighted images and high-intensity on T2-weighted images of the lumbar vertebral bodies and intervertebral disks, consistent with vertebral osteomyelitis. Technetium-99m bone scans revealed accumulation in the lumbar vertebrae. Computed tomography (CT) scans on admission revealed no gallstones, whereas CT scans after abdominal pain or liver dysfunction revealed choledocholithiasis and gallstones. Vertebral osteomyelitis and choledocholithiasis should be noted as possible complications of PRSP meningitis. J Med Cases. 2014;5(2):108-112 doi: http://dx.doi.org/10.14740/jmc1598e

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.424
Threshold uncertainty score0.839

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.012
GPT teacher head0.267
Teacher spread0.255 · 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 teacher head, not a consensus.

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

Citations1
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Medical CasesSame topicInfectious Diseases and TuberculosisFrench-language works237,207