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Record W2330646961 · doi:10.1186/s12879-016-1471-9

Polymicrobial vertebral osteomyelitis after oesophageal biopsy: a case report

2016· article· en· W2330646961 on OpenAlexfundno aff
Aude Giger, Erlangga Yusuf, Oriol Manuel, Olivier Clerc, Andrej Trampuž

Bibliographic record

VenueBMC Infectious Diseases · 2016
Typearticle
Languageen
FieldMedicine
TopicInfectious Diseases and Tuberculosis
Canadian institutionsnot available
FundersUniversity of Ottawa
KeywordsMedicineVertebral osteomyelitisOsteomyelitisSpondylodiscitisDiscitisSurgeryBiopsyThoracic vertebraeBack painDebridement (dental)RadiologyPathologyLumbar vertebraeLumbarMagnetic resonance imaging

Abstract

fetched live from OpenAlex

BACKGROUND: While most cases of polymicrobial vertebral osteomyelitis are secondary to hematogenous seeding, direct inoculation during spinal surgery and contiguous spread from adjacent soft tissue are also potential routes whereby pathogens may infect the spine. CASE PRESENTATION: A 74 year-old man presented with an exacerbation of back pain after a fall. His past medical history included hepatocellular and oesophageal carcinoma. Three months earlier he had undergone an endoscopic biopsy of the oesophagus for routine follow-up of his oesophagus carcinoma. He also underwent a vertebroplasty due to suspected pathologic fracture. On admission to hospital, magnetic resonance imaging revealed an infiltrative process at the level of the 5th and 6th thoracic vertebrae. Blood cultures were positive for both Streptococcus mitis and Gemella morbillorum. During his course of antibiotic therapy he developed an abscess at the level of 8th thoracic vertebrae and culture of this abscess grew Candida albicans. He was treated with antibiotics and antifungal drugs and recovered fully. CONCLUSION: Vertebral osteomyelitis may be caused by direct spread following an oesophageal procedure. Microbiological diagnosis is essential to target the specific pathogen, especially in cases of polymicrobial infection.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.264
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
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)0.0030.001

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 head0.006
GPT teacher head0.241
Teacher spread0.235 · 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.

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

Citations10
Published2016
Admission routes1
Has abstractyes

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