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Record W4396688677 · doi:10.7759/cureus.59827

Alternative Use of Femoral Compression System in Palliative Care: A Case Report

2024· article· en· W4396688677 on OpenAlexaff
Gabriela Alonso, Priscilla Tubbs, Mery Lossada

Bibliographic record

VenueCureus · 2024
Typearticle
Languageen
FieldMedicine
TopicOrthopaedic implants and arthroplasty
Canadian institutionsCanadian Hospice Palliative Care Association
Fundersnot available
KeywordsPalliative careCompression (physics)MedicineNursingMaterials scienceComposite material

Abstract

fetched live from OpenAlex

Terminal hemorrhage, although relatively rare, presents a significant challenge in palliative care, necessitating effective management strategies to alleviate distress in patients and their families. This report presents the case of a 77-year-old woman with advanced vulvar squamous cell carcinoma. The patient had ulcerated groin metastases that had affected the nerve and vasculature of her left leg. Upon clinical examination, she had a large nonhealing ulcer of 11 cm x 2 cm x 4 cm on her upper left thigh that contained slough and was oozing. After a goals of care discussion with the patient and her family, she was admitted to hospice for comfort care measures. This case highlights an unconventional use of a femoral compression device in the palliative care setting, offering a novel approach to managing terminal hemorrhage. Commonly, these devices are used for hemostasis following different procedures, such as vessel cannulation or femoral artery pseudoaneurysm repair.

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 score0.006
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0030.002
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0060.003
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 head0.061
GPT teacher head0.337
Teacher spread0.276 · 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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