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Record W4414496054 · doi:10.7705/biomedica.7685

Spinal tuberculosis, pathophysiology and radiological presentation, three case reports

2025· article· en· W4414496054 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBiomédica · 2025
Typearticle
Languageen
FieldMedicine
TopicInfectious Diseases and Tuberculosis
Canadian institutionsMcGill UniversityMcGill University Health Centre
Fundersnot available
KeywordsRadiological weaponDifferential diagnosisMagnetic resonance imagingTuberculosisSpondylodiscitisEtiologyRadiographyBack pain

Abstract

fetched live from OpenAlex

Prompt diagnosis and treatment of spinal tuberculosis are key in preventing its neurological and physical sequelae. This affection, also known as Pott's disease, should be considered a differential diagnosis in patients presenting with unexplained back pain that can lead to neurological symptoms and eventually paraplegia. Mycobacterium tuberculosis, the etiological agent of tuberculosis, spreads from the lungs to the spine via venous or arterial pathways, causing lesions apparent upon imaging. Radiological findings include osseous destruction, disk collapse, abscess formation, and spinal deformity. While magnetic resonance is considered the most sensitive and specific imaging modality to establish a diagnosis, plain radiographs and computed tomography can provide useful information. This manuscript discusses three Colombian cases of spinal tuberculosis with the goal of increasing familiarity regarding the pathophysiology, clinical and radiological manifestations, and differential diagnosis of this rare but potentially devastating disease.

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.

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 score0.130
Threshold uncertainty score0.389

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 head0.011
GPT teacher head0.295
Teacher spread0.284 · 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