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Record W4399827559 · doi:10.1111/eve.14016

Draught and draught‐related breeds are also affected by testicular teratoma: A retrospective study on cryptorchidism

2024· article· en· W4399827559 on OpenAlexaffabout
Alvaro G. Bonilla, E. Lamy

Bibliographic record

VenueEquine Veterinary Education · 2024
Typearticle
Languageen
FieldMedicine
TopicTesticular diseases and treatments
Canadian institutionsUniversité de MontréalCegep de Saint Hyacinthe
Fundersnot available
KeywordsMedicineGynecologyTeratomaRetrospective cohort studyInternal medicinePathology

Abstract

fetched live from OpenAlex

Summary Background There is limited information regarding cryptorchid teratomas other than a few case report studies, and almost all involved standard‐frame horse breeds. Objective To investigate the prevalence of testicular teratoma in horses presented for cryptorchidism and to determine its relationship with horse breeds. Study design Retrospective case series. Methods Medical records from all horses presented for cryptorchidism that underwent surgical cryptorchidectomy between January 2010 and August 2021 in a single institution were reviewed. Additionally, cryptorchid horses with a histopathological diagnosis of testicular teratoma were further analysed. Results Cryptorchidectomy was performed in 220 horses (253 testicles: 187 unilateral and 33 bilateral). Left abdominal cryptorchidism was the most common presentation (101/187, 54%), followed by right abdominal (37/187, 20%) and then, right (27/187, 14%) and left (22/187, 12%) inguinal. A teratoma was confirmed via histopathology in two Draughts, one Draught‐related breed (Canadian horse) and one Paint. Unfortunately, a pre‐operative diagnosis of teratoma was not reached in 3/3 horses where only routine caudal ultrasonography was performed. Draught and draught‐related breeds represented 6% (2219/36,857) of the hospital caseload during the study period and 11% (24/220) of the entire cryptorchid population. Draught and draught‐related breeds had a 37.1 relative risk ratio of having a cryptorchid teratoma (95% CI: 7.85–175.73) in this study. However, this may have been coincidental or specific to our geographic location given the small number of affected cases. Main limitations Retrospective nature of the study, small population of horses, one institution and by extent one geographical location. Conclusions We found that cryptorchid teratomas are encountered with a high prevalence in our draught and draught‐related breed caseload. A thorough pre‐operative ultrasound, including cranio‐ventral abdomen, may be recommended in cryptorchids to facilitate identification of large teratomas lying cranially within the abdomen as well as surgical planning.

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)0.000
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 score0.417
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.011
GPT teacher head0.312
Teacher spread0.301 · 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

Citations0
Published2024
Admission routes2
Has abstractyes

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