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161 Isolated tuberculosis of the wrist: elusive but destructive

2018· article· en· W2802110310 on OpenAlexaff
Zoe Rutter‐Locher, Amber Arnold, Shamim Umarji, Nidhi Sofat

Bibliographic record

VenueLara D. Veeken · 2018
Typearticle
Languageen
FieldMedicine
TopicInfectious Diseases and Tuberculosis
Canadian institutionsInstitute of Infection and Immunity
Fundersnot available
KeywordsMedicineWristTuberculosisVirologyPathologySurgery

Abstract

fetched live from OpenAlex

Background: Tuberculous arthritis is rare, but can lead to severe complications and disability if untreated. We present a case of tuberculous arthritis of the left wrist, in whom diagnosis was delayed leading to significant joint destruction. Methods: A 36 year old right handed housewife presented with a six month history of left wrist pain following minor trauma. There was no history of systemic symptoms, no relevant past medical or family history and no known tuberculosis (TB) contacts. She was originally from Pakistan but had been in the UK, living in South London, for 15 years. Clinical examination revealed a swollen tender left wrist with limited movement. Systemic examination was unremarkable. Results: She was initially seen in the private sector where routine blood tests, auto immune screen and blood borne virus screen were negative. Bone and synovial biopsy histology showed granulomatous inflammation but was not sent for culture. Initial X-ray wrist was normal and initial MRI showed oedema of the triquetrum. Based on this, a diagnosis of osteonecrosis with complex regional pain syndrome was made. She was then referred to NHS services. Repeat radiographs over four months showed progressive destruction of the carpal bones and MRI revealed severe extensive synovial thickening with secondary diffuse bony oedema.

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)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.003
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0050.002
Insufficient payload (model declined to judge)0.0050.003

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 head0.008
GPT teacher head0.249
Teacher spread0.242 · 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 designCase report
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
Published2018
Admission routes1
Has abstractyes

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