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Record W2060270876 · doi:10.1097/brs.0b013e3181cff4f6

Infective Spondylitis in Southern Chinese

2010· article· en· W2060270876 on OpenAlexaff
Dennis King Hang Yee, Dino Samartzis, Yat-Wa Wong, K.D.K. Luk, Kmc Cheung

Bibliographic record

VenueSpine · 2010
Typearticle
Languageen
FieldMedicine
TopicInfectious Diseases and Tuberculosis
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsSpondylitisMedicineGeographyInternal medicineAnkylosing spondylitis

Abstract

fetched live from OpenAlex

In Brief Study Design. A retrospective review of infective spondylitis patients assessed at a major, tertiary referral centre in Hong Kong. Objective. To assess the prevalence, risk factors, clinical features, and prognostic outcomes associated with tuberculous spondylitis to that of pyogenic spondylitis in Southern Chinese treated at a single institution. Summary of Background Data. Previous studies in Asia suggest that tuberculous spondylitis is the predominant infection unless proven otherwise. Current clinical experiences suggest otherwise; however, the current trend and clinical profile of infective spondylitis among Southern Chinese remains speculative with no published studies examining their prevalence. Methods. A retrospective review was performed of all infective spondylitis cases presenting from January 2004 to July 2008 to a tertiary referral center. Cases were included on the basis of clinical and microbiological criteria. Radiographic imaging was used for further confirmation. Results. Ninety-one patients were identified. Overall, tuberculous spondylitis and pyogenic spondylitis entailed 22 (24.2%) and 69 (75.8%) cases, respectively. Staphylococcus aureus was the most commonly isolated infective agent associated with pyogenic spondylitis. Individuals with pyogenic spondylitis were significantly much older than those with tuberculous spondylitis (P = 0.001). Intravenous drug addiction was the most commonly noted risk factor followed by diabetes, and found to be more prevalent in pyogenic spondylitis cases. At initial presentation, white cell count and c-reactive protein levels were higher in pyogenic spondylitis cases compared with tuberculous spondylitis (P < 0.05). The occurrence of tuberculous spondylitis cases was predominant in the thoracic region (40.9%) (P < 0.05). Surgical intervention was performed in 54.5% of tuberculous spondylitis and in 24.6% of the pyogenic spondylitis cases (P = 0.009). Conclusion. In Southern Chinese, compared to previous reports over the past 3 decades, a changing prevalence of decreasing tuberculous spondylitis was observed. Pyogenic spondylitis was found to be more common among patients hospitalized for infective spondylitis. This has important implications on the method of diagnosis and the need for establishing microbiological diagnosis before commencing treatment. “Best guess” therapy should not be targeted at tuberculous spondylitis only. There are clear distinctions in the biologic and clinical profiles between tuberculous and pyogenic spondylitis that would help to direct therapy. Infective spondylitis is commonly caused by either a pyogenic organism or tuberculosis. We described 91 cases of infective spondylitis in Southern Chinese. The relative prevalence of pyogenic and tuberculous spondylitis was compared together with the clinical, microbiological, and prognostic difference between the 2 types of infective agents. Pyogenic spondylitis was found to be more common than tuberculous spondylitis among patients hospitalized for infective spondylitis. The biologic and clinical profile between such infective spondylitis types differed.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.024
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0010.000
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 head0.003
GPT teacher head0.260
Teacher spread0.256 · 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 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

Citations44
Published2010
Admission routes1
Has abstractyes

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