MétaCan
Menu
Back to cohort
Record W2729288550 · doi:10.22088/cjim.8.2.123

A case report on late presentation of occult dural lesions.

2017· article· en· W2729288550 on OpenAlexaff
Timothy J Cochrane, Gurpreet Singh Ranger

Bibliographic record

VenuePubMed · 2017
Typearticle
Languageen
FieldMedicine
TopicHead and Neck Surgical Oncology
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedicineOccultHead injuryPneumocephalusSurgeryrhinorrheaPresentation (obstetrics)Cerebrospinal Fluid RhinorrheaMeningitisComplication

Abstract

fetched live from OpenAlex

BACKGROUND: Occult dural injuries are rare and can occur as a result of major or minor head injury. These injuries usually manifest with cerebrospinal fluid rhinorrhea alone, or with meningitis and cerebral abscess, sometimes many years after the original injury. CASE PRESENTATION: We present a case of occult dural injury with endocranial complications which occurred in a 34 year old man, with a history of head injury forty-three years ago. The patient presented with a triad of findings; meningitis, CSF rhinorrhoea and pneumocephalus. He was managed conservatively with intravenous antibiotics and observation and made a full recovery. The presence of acute endocranial symptoms and particularly these three findings in a patient with a previous history of head injury, no matter how long it had been should raise suspicion of the presence of an occult dural injury. CONCLUSION: It need to retain a high index of suspicion for occult dural injury in patients who present with endocranial symptoms of unknown origin, especially if there is a previous history of head injury.

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)0.004
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 score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0040.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0050.004
Science and technology studies0.0050.002
Scholarly communication0.0030.004
Open science0.0020.003
Research integrity0.0090.007
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 head0.090
GPT teacher head0.354
Teacher spread0.263 · 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
Published2017
Admission routes1
Has abstractyes

Explore more

Same venuePubMedSame topicHead and Neck Surgical OncologyFrench-language works237,207