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Record W4399401352

Axillary-Subclavian Venous Thrombosis following a weightlifting injury in an elderly patient: a case report.

2024· article· en· W4399401352 on OpenAlexaff
Chris White, Felix Lascelles-Palys, Glenn Cashman

Bibliographic record

VenuePubMed · 2024
Typearticle
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsBurnaby Hospital
Fundersnot available
KeywordsVenous thrombosisAxillary veinMedicineThrombosisSubclavian veinSurgeryComputer scienceBioinformaticsBiology
DOInot available

Abstract

fetched live from OpenAlex

Background: Axillary-subclavian venous thrombosis (ASVT) is a type of upper extremity deep vein thrombosis (UEDVT). UEDVTs are classified as either primary or secondary depending on their etiology. Although uncommon, clinicians should be aware of the clinical presentation of UEDVT as timely diagnosis and early treatment is critical in preventing possible post-thrombotic complications. Case presentation: We report a rare case of axillary-subclavian and internal jugular vein thrombosis in the absence of clear risk factors in a 78-year-old male weightlifter who presented to the office with two-week duration of left upper extremity pain and swelling following strenuous exercise at the gym. Summary: The combination of unusual thrombi location, in addition to the unusual absence of existing thoracic-outlet compression or indwelling medical hardware, makes our case of UEDVT especially uncommon. Clinicians should be aware of this rare disease due to the debilitating effects both in the short and long term.

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)0.003
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 score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.023
GPT teacher head0.285
Teacher spread0.262 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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