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Record W3011152804 · doi:10.1177/0846537120905133

Unravelling the Mysteries of Traumatic Diaphragmatic Injury: An Up-to-Date Review

2020· review· en· W3011152804 on OpenAlexaff
Waleed Abdellatif, Brandon T Chow, Saira Hamid, Dina Khorshed, Faisal Khosa, Savvas Nicolaou, Nicolas Murray

Bibliographic record

VenueCanadian Association of Radiologists Journal · 2020
Typereview
Languageen
FieldMedicine
TopicCongenital Diaphragmatic Hernia Studies
Canadian institutionsUniversity of British ColumbiaVancouver General Hospital
Fundersnot available
KeywordsMedicineBluntDiaphragmatic ruptureDiaphragmatic breathingPenetrating traumaSurgeryConservative treatmentPresentation (obstetrics)Pathology

Abstract

fetched live from OpenAlex

Traumatic diaphragmatic injury (TDI) is an underdiagnosed condition that has recently increased in prevalence due to its association with automobile collisions. The initial injury is often obscured by concurrent thoracic and abdominal injuries. Traumatic diaphragmatic injury itself is rarely lethal at initial presentation, however associated injuries and complications of untreated TDI such as herniation and strangulation of abdominal viscera have serious clinical consequences. There are 2 primary mechanisms of TDIs: penetrating TDI which tend to be smaller, more difficult to detect, and result in fewer complications; and blunt TDIs which are larger and have higher overall mortality due to associated injuries or delayed complications. The anatomy of thoracic and abdominal cavities distinguishes the epidemiology, pathophysiology, symptoms, treatment, and prognosis of right versus left TDI. Although there is no definitive radiologic sign for diagnosing TDI, many signs have been introduced in the literature and the concurrent presence of multiple signs increases the sensitivity of TDI detection. Conservative versus surgical management depends on mechanism of TDI, side, and most importantly the associated injuries.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.923
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.066
GPT teacher head0.354
Teacher spread0.289 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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

Citations37
Published2020
Admission routes1
Has abstractyes

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