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Record W3016946810 · doi:10.15586/jkcvhl.2020.123

Spontaneous Retroperitoneal Hemorrhage in a Patient with Acquired Cystic Kidney Disease

2020· article· en· W3016946810 on OpenAlexaff
Ahmed Kotb, Asmaa Ismail, Hazem Elmansy, Owen Prowse, Walid Shahrour

Bibliographic record

VenueJournal of Kidney Cancer and VHL · 2020
Typearticle
Languageen
FieldMedicine
TopicCase Reports on Hematomas
Canadian institutionsThunder Bay Regional Health Sciences Centre
Fundersnot available
KeywordsMedicineDiseasePathology

Abstract

fetched live from OpenAlex

Spontaneous retroperitoneal hemorrhage (SRH) is a rare emergency. It is usually encountered in patients on hemodialysis and is associated with high rate of morbidity and mortality. This is a case from the emergency department. The patient had unstable vitals with SRH following dialysis. Immediate exploration and nephrectomy using transverse lateral lumbotomy incision were done. Patients on hemodialysis are at a risk of SRH and frequent surveillance is recommended. Acquired cystic kidney disease (ACKD) can develop in hemodialysis patients and put them at risk for bleeding. Transverse lateral lumbotomy may be a safe option for direct access to the kidney in emergency kidney surgery.

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)0.004
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 score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.002
Scholarly communication0.0010.002
Open science0.0010.002
Research integrity0.0030.003
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 head0.012
GPT teacher head0.255
Teacher spread0.244 · 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

Explore more

Same venueJournal of Kidney Cancer and VHLSame topicCase Reports on HematomasFrench-language works237,207