MétaCan
Menu
Back to cohort
Record W3013476021 · doi:10.1212/wnl.0000000000009298

Pearls & Oy-sters: Isolated oculomotor nerve palsy due to pituitary apoplexy missed on CT scan

2020· article· en· W3013476021 on OpenAlexaff
Sina Marzoughi, Aravind Ganesh, Amro Qaddoura, Pouya Motazedian, Simerpreet Bal

Bibliographic record

VenueNeurology · 2020
Typearticle
Languageen
FieldMedicine
TopicPituitary Gland Disorders and Treatments
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPituitary apoplexyOculomotor nerve palsyMedicineDifferential diagnosisOculomotor nervePalsyCranial nerve palsyPediatricsSurgeryInternal medicinePathologyPituitary adenoma

Abstract

fetched live from OpenAlex

Pituitary apoplexy is an important differential diagnosis for acute headache, particularly accompanied by cranial nerve palsies c Apoplexy should be included in the clinician's differential for acute onset third nerve palsy in addition to the more common etiologies of compressive aneurysmal palsy and ischemic microvascular palsy c MRI with dedicated views of the sella turcica is important to detect milder pituitary pathology Oy-sters c Limited presentations of pituitary apoplexy may only involve a single cranial nerve c Patients with new headache of maximal intensity at onset should be admitted for extensive evaluation with a high index of suspicion for a serious intracranial pathology c Headaches from secondary causes may subside by the time patients seek medical attention c Midline lesions like pituitary apoplexy may be easily missed on standard emergency department neuroimaging, especially if findings are early or mild cReviewing the images themselves can help clinicians ensure that important secondary causes are not missed A 70-year-old left-handed man presented to his family physician's office after waking up with a new 10/10 intensity headache and was prescribed acetaminophen and cephalexin for left ankle cellulitis.Over the next 3 days, his headache had improved to 1/10, but he then developed a new horizontal binocular diplopia and right-sided ptosis concurrent with a mild bifrontal headache, for which he presented to the emergency department.He had a medical history of type II diabetes, hypertension, stage IV chronic kidney disease with kidney transplantation for immunoglobulin A nephropathy and immunosuppression, left upper limb deep vein thrombosis, right-sided parotid mass, recurrent but locally limited squamous cell carcinoma (SCC), and dyslipidemia.His medications included amlodipine, bisoprolol, gabapentin, prednisone, tacrolimus, and warfarin.He had an unremarkable cardiovascular, respiratory, and abdominal physical examination.On neurologic examination, he had a mild anisocoria (right pupil: 3 mm, left pupil: 2 mm, worse in bright light vs dim light) but both pupils were briskly reactive to light and accommodation.His visual acuity was 20/20 bilaterally and he had full visual fields on bedside examination and unremarkable funduscopy.In addition to right ptosis (marginal reflex distance of 3 mm to lower lid margin), he had impaired right eye adduction, elevation, and depression (figure 1).No other deficits were identified.We localized these findings to the right oculomotor nerve.The differential diagnoses considered for these findings included a posterior communicating artery aneurysm resulting in a compressive third nerve palsy given the initial severe nature of the patient's headache *These authors contributed equally to this work.

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)0.005
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 score0.010
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.005
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0010.002
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0100.003

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 head0.031
GPT teacher head0.267
Teacher spread0.236 · 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
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueNeurologySame topicPituitary Gland Disorders and TreatmentsFrench-language works237,207