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Record W4207070645 · doi:10.1177/08258597221074425

Dermatomyositis Related Paraneoplastic Encephalitis Presenting as Terminal Delirium in the Palliative Care Unit – A Case Report

2022· article· en· W4207070645 on OpenAlexaff
Kelvin Lou, Shikha Minhas, Shalini Nayar

Bibliographic record

VenueJournal of Palliative Care · 2022
Typearticle
Languageen
FieldMedicine
TopicInflammatory Myopathies and Dermatomyositis
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsDermatomyositisDeliriumMedicineEncephalitisPalliative careIntensive care medicineDermatologyImmunology

Abstract

fetched live from OpenAlex

Advanced cancers can have many complications including paraneoplastic processes such as dermatomyositis, hypercalcemia and encephalitis. Due to the wide-ranging nature of symptoms, the diagnosis requires a high index of suspicion and often requires a clinical diagnosis while awaiting for laboratory confirmation. Managing paraneoplastic phenomenon at the end of life requires robust goals of care conversations to determine what the patient is willing to go through to achieve specific goals. We present the case of a 50-year-old male with a history of squamous cell carcinoma presenting as unresolving delirium secondary to paraneoplastic encephalitis.

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 score0.007
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0030.002
Science and technology studies0.0040.002
Scholarly communication0.0020.003
Open science0.0010.003
Research integrity0.0070.005
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 head0.025
GPT teacher head0.324
Teacher spread0.299 · 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

Citations1
Published2022
Admission routes1
Has abstractyes

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