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Record W2523780843 · doi:10.1111/hdi.12491

Three cases of spontaneous lumbar artery rupture in hemodialysis patients

2016· article· en· W2523780843 on OpenAlex
Na Kyoung Hwang, Harin Rhee, Il Young Kim, Eun Young Seong, Dong Won Lee, Soo Bong Lee, Ihm Soo Kwak, Chang Won Kim, Sang Heon Song

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueHemodialysis International · 2016
Typearticle
Languageen
FieldMedicine
TopicCase Reports on Hematomas
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHemodialysisSurgeryRetroperitoneal hemorrhageLumbarAnticoagulantHematomaComplicationLumbar arteries

Abstract

fetched live from OpenAlex

We encountered three cases of retroperitoneal hematoma caused by spontaneous lumbar artery rupture, a rare vascular complication. At the time of retroperitoneal hematoma, two patients were on anticoagulant/antiplatelet therapy. One patient was not taking any anticoagulant/antiplatelet agents but was receiving hemodialysis treatment with heparin. Lumbar artery rupture was successfully controlled by transcatheter arterial embolization in all patients, but one patient developed multiple organ failure and died. We suggest that spontaneous lumbar artery rupture may occur in patients being treated with maintenance hemodialysis or anticoagulant/antiplatelet therapy. Therefore, clinicians should suspect lumbar artery rupture in patients with unstable vital signs and rapid onset of anemia because early diagnosis and appropriate intervention are necessary to decrease the risks of morbidity and mortality.

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.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.043
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.015
GPT teacher head0.260
Teacher spread0.245 · 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