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Record W2484313247

Outcome and prognostic factors for dogs with a histological diagnosis of splenic hematoma following splenectomy: 35 cases (2001-2013).

2016· article· en· W2484313247 on OpenAlexaff
Steve G. Patten, Sarah E. Boston, Gabrielle Monteith

Bibliographic record

VenuePubMed · 2016
Typearticle
Languageen
FieldMedicine
TopicVeterinary Oncology Research
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsMedicineHematomaHemangiosarcomaSplenectomyMalignancySurgeryRadiologySpleenPathologyInternal medicineAngiosarcoma
DOInot available

Abstract

fetched live from OpenAlex

Canine splenic hematoma can be indistinguishable from hemangiosarcoma on clinical presentation and grossly at the time of surgery. However, hemangiosarcoma represents an aggressive malignancy and a misdiagnosis of hematoma would forgo indications for chemotherapy. This study describes a long-term follow-up of cases with a histologic diagnosis of splenic hematoma following splenectomy to determine if the clinical course of the disease corroborated the diagnosis. Thirty-five dogs were evaluated to determine survival and prognostic associations with signalment and clinical data. Overall median survival time was 647 days (range: 0 to 3287 days). Statistically significant variables included a palpable abdominal mass during physical examination, sub-clinical coagulopathy, and metastasis. Four cases (11%) had reported evidence of metastasis at the time of euthanasia; 1 case was histologically confirmed. Overall prognosis for splenic hematoma appears excellent, as expected, but a small proportion of cases may have an undiagnosed malignant component.

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 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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.415

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.115
GPT teacher head0.342
Teacher spread0.227 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations25
Published2016
Admission routes1
Has abstractyes

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