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Record W2342902035 · doi:10.5539/gjhs.v8n12p239

Post-Traumatic Subdural Hygroma: A One Year Follow up Case Report and Literature Review

2016· article· en· W2342902035 on OpenAlexvenueno aff
Esteban Ortiz‐Prado, Tamara Acosta Castillo, Mauricio Olmedo Lopez, Mario Rubio, Luis E. Bermeo

Bibliographic record

VenueGlobal Journal of Health Science · 2016
Typearticle
Languageen
FieldMedicine
TopicChild Abuse and Related Trauma
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHead traumaBluntLesionSurgeryCerebral Spinal FluidCystic hygromaSpontaneous Intracranial HypotensionBlunt traumaRadiologyMagnetic resonance imagingAnesthesia

Abstract

fetched live from OpenAlex

Post-traumatic subdural hygroma it is an intracranial lesion, commonly misdiagnosed due to its unclear symptomatology and slow progression. Defined as the presence of cerebral spinal fluid in between the arachnoid and the duramater layers; causing a variety of symptomatology that usually depend on the amount of fluid within this space (subdural). Post traumatic subdural hygroma it’s observed in 5-20% of all blunt head injuries, although its diagnosis it’s usually rare among emergency departments. Prognosis is usually good due to the absence of severe complications and its spontaneous resolution in mostly of the cases. We present a 26-year-old male patient, with history of high impact blunt trauma, presenting ocular refractive changes and headache. After CT scan evaluation and BOLD-MRI confirmation, a bilateral fronto-parietal subdural hygroma was confirmed.

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)0.001
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 score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0020.001
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0030.002
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 head0.021
GPT teacher head0.328
Teacher spread0.307 · 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
Published2016
Admission routes1
Has abstractyes

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