MétaCan
Menu
Back to cohort
Record W2947390849 · doi:10.1186/s13256-019-2065-0

Neurosarcoidosis resulting in thoracic radiculopathy: a case report

2019· article· en· W2947390849 on OpenAlexaff
Hayam Hamodat, Allen Tran

Bibliographic record

VenueJournal of Medical Case Reports · 2019
Typearticle
Languageen
FieldMedicine
TopicSarcoidosis and Beryllium Toxicity Research
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedicineNeurosarcoidosisSarcoidosisNeuropathic painRadiologyAbdominal painDifferential diagnosisReferred painSurgeryMagnetic resonance imagingGabapentinDermatologyAnesthesiaPathology

Abstract

fetched live from OpenAlex

BACKGROUND: Thoracic radiculopathy is a rare etiology of vague abdominal pain. There are few reports of neurosarcoidosis manifesting as a thoracic radiculopathy, which highlights the diagnostic challenge. CASE PRESENTATION: A 54-year-old Caucasian man was being investigated for right upper quadrant abdominal pain and was found to have diffuse lymphadenopathy on imaging. He was eventually diagnosed with sarcoidosis. Over time, his abdominal pain progressed to neuropathic pain along his T7-T11 dermatome. Magnetic resonance imaging revealed findings consistent with a thoracic radiculopathy due to neurosarcoidosis. The patient received corticosteroids for treatment of neurosarcoidosis and immunosuppressant therapy to manage neuropathic pain. CONCLUSIONS: This case report highlights the importance of considering thoracic radiculopathies in the differential diagnosis of vague abdominal pain and explores guidelines in diagnosing neurosarcoidosis in the absence of neural tissue biopsy.

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)0.004
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 score0.009
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0050.003
Science and technology studies0.0050.003
Scholarly communication0.0040.004
Open science0.0020.004
Research integrity0.0090.006
Insufficient payload (model declined to judge)0.0040.002

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 head0.036
GPT teacher head0.386
Teacher spread0.350 · 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

Citations6
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Medical Case ReportsSame topicSarcoidosis and Beryllium Toxicity ResearchFrench-language works237,207