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Record W2809062099 · doi:10.1080/10790268.2018.1487188

Muscle invasive bladder cancer presenting as recurrent autonomic dysreflexia – a wolf in wolf’s clothing

2018· article· en· W2809062099 on OpenAlexaff
Ryan Fitzpatrick, Richard Baverstock

Bibliographic record

VenueJournal of Spinal Cord Medicine · 2018
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsUniversity of CalgaryOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsAutonomic dysreflexiaMedicineSpinal cord injuryContext (archaeology)Bladder cancerGenitourinary systemSpinal cordCancerInternal medicinePsychiatryBiology

Abstract

fetched live from OpenAlex

Context: Autonomic dysreflexia is a potentially lethal condition experienced by spinal cord injury (SCI) patients. It has a wide range of causes, most of which are genitourinary in nature. However, there has been no documented case of primary bladder cancer as a trigger for recurrent autonomic dysreflexia.Findings: We present a case of a 51-year-old spinal cord injury patient with multiple presentations of autonomic dysreflexia. Work up revealed locally invasive bladder cancer, and following definitive surgery, his symptoms were alleviated.Conclusions: In SCI patients with recurrent AD, comprehensive work up with involvement of a specialized Urologist is required as AD may be the only presenting symptom of a serious underlying medical condition.

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)0.003
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 score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0040.002
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 head0.096
GPT teacher head0.451
Teacher spread0.355 · 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

Citations2
Published2018
Admission routes1
Has abstractyes

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