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Record W4386558880 · doi:10.7759/cureus.44881

Non-contiguous Rare Presentation of Spinal Tuberculosis: A Case Report

2023· article· en· W4386558880 on OpenAlexaff
Abdullah S. Binsaeedu, Nehal V Sadi, Sagal Yusuf, Salma Yasmin Mohd Yusuf, Humayun Youshay

Bibliographic record

VenueCureus · 2023
Typearticle
Languageen
FieldMedicine
TopicInfectious Diseases and Tuberculosis
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsMedicinePresentation (obstetrics)TuberculosisMagnetic resonance imagingBack painRadiologyPediatricsSurgeryPathology

Abstract

fetched live from OpenAlex

Spinal tuberculosis (TB), also known as Pott's disease, is a severe form of extrapulmonary TB that affects the vertebral bodies and intervertebral discs. While the typical presentation involves the contiguous involvement of multiple vertebrae, atypical forms, such as non-contiguous multilevel spinal TB (NMLST), can occur. However, diagnosing spinal TB poses challenges due to its gradual onset, nonspecific symptoms, and varying imaging results. The timely diagnosis and treatment of spinal TB are critical to prevent serious consequences, including vertebral damage, irreversible neurological impairment, or even death. In this report, we present the case of a 58-year-old South Asian female who presented with several months of back pain, fatigue, and weight loss. Despite initially negative TB test results, spinal magnetic resonance imaging (MRI) raised suspicion of NMLST, which was later confirmed by bone biopsy. This case highlights the complexities of diagnosing and managing atypical spinal TB presentations while discussing the case findings and reviewing relevant research.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.330
Threshold uncertainty score0.400

Codex and Gemma teacher scores by category

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

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 head0.020
GPT teacher head0.320
Teacher spread0.300 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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