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Record W2999890712 · doi:10.1016/j.radcr.2019.12.003

Management of retroperitoneal hemorrhage compressing the inferior vena cava in a patient with a renal transplant: A case report

2020· article· en· W2999890712 on OpenAlexaff
Elizabeth Fontaine, Guillaume Garneau, Simon Lemieux

Bibliographic record

VenueRadiology Case Reports · 2020
Typearticle
Languageen
FieldMedicine
TopicCase Reports on Hematomas
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsMedicineInferior vena cavaRadiologyRetroperitoneal hemorrhagePulmonary embolismPresentation (obstetrics)EmbolizationVenous thrombosisHematomaSurgeryRetroperitoneal spaceThrombosisInferior vena cava filter

Abstract

fetched live from OpenAlex

We report a case of a right retroperitoneal hematoma compressing the inferior vena cava (IVC) in a patient with a left pelvic renal transplant. Noncontrast abdominal computed tomography scan diagnosed the cause of the hematoma, which was a ruptured nontraumatic renal cyst hemorrhage from the right native kidney. The patient had been anticoagulated for 5 days to treat pulmonary embolism upon clinical presentation. To minimize the risk of venous renal transplant thrombosis and to resume anticoagulation as fast as possible without the need of a long-term IVC filter, priority in management was to relieve the IVC compression and to stop the hemorrhage by selective embolization of the right native kidney. This case report will review the clinical presentation, the radiological findings and the management of retroperitoneal hematoma compressing the IVC in a patient with renal transplant.

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 score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.002
Scholarly communication0.0020.003
Open science0.0010.002
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0020.001

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 head0.016
GPT teacher head0.254
Teacher spread0.238 · 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
Published2020
Admission routes1
Has abstractyes

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