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Record W3216902998

Successful non-invasive management of iatrogenic splenic injury associated with a peritoneal dialysis catheter in a dog.

2021· article· en· W3216902998 on OpenAlexaffabout
Kanae Takada, Jennifer M. Loewen

Bibliographic record

VenuePubMed · 2021
Typearticle
Languageen
FieldMedicine
TopicMuscle and Compartmental Disorders
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsMedicinePeritoneal dialysisCatheterDialysis catheterSurgeryPercutaneousDialysisAcute kidney injuryInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

An 11-month-old, intact female Labrador retriever was presented with oligoanuric acute kidney injury and overhydration after grape ingestion. Percutaneous placement of a 12G × 30 cm Mila chest tube was done as an emergency temporary peritoneal dialysis catheter. Although no serious immediate complications were noted, an iatrogenic splenic injury had occurred. The catheter was used for peritoneal dialysis and urine output and hydration status improved over time. When the dialysis catheter was removed 3 d later, a synthetic hemostatic matrix, Surgiflo, was deposited through the catheter. No complications were noted. The dog recovered uneventfully and was doing well with normal kidney function. Key clinical message: To the authors' knowledge, this report represents the first description of non-invasive management of iatrogenic splenic injury secondary to percutaneous peritoneal dialysis catheter placement in a dog.

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)0.002
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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.229
Teacher spread0.217 · 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
Published2021
Admission routes2
Has abstractyes

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