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Record W2947650357 · doi:10.1111/vsu.13243

Laparoscopic ovariectomy in guinea pigs: A pilot study

2019· article· en· W2947650357 on OpenAlexaff
Julianne E. McCready, Hugues Beaufrère, Ameet Singh, Michelle L. Oblak, Andrea Sánchez

Bibliographic record

VenueVeterinary Surgery · 2019
Typearticle
Languageen
FieldVeterinary
TopicVeterinary Medicine and Surgery
Canadian institutionsUniversity of GuelphHealth Sciences Centre
Fundersnot available
KeywordsMedicineCannulaForcepsEndoscopyGuinea pigPort (circuit theory)LaparoscopyEndoscopeSurgeryVeress needleAbdomenLaparoscopic surgery

Abstract

fetched live from OpenAlex

Abstract Objective To assess the feasibility and safety of laparoscopic ovariectomy in guinea pigs utilizing 3‐mm minilaparoscopic instruments. Study design Experimental pilot study. Animals Guinea pigs (n = 3). Methods The guinea pigs were sedated, placed under general anesthesia, and intubated under endoscopic visualization. A 3‐port technique was used with a 3.9‐mm cannula for the endoscope and two 3.5‐mm cannulas accommodating 3‐mm endoscopic instruments including a 3‐mm vessel sealing device, grasping forceps, and endoscopic scissors. The abdomen was insufflated with CO 2 to a pressure of 6–8 mm Hg. The guinea pigs were manually tilted 90° laterally to visualize the dorsally positioned ovaries. Results The procedure was successfully performed in all 3 animals. The surgery times were 120, 45, 45 minutes for the 3 guinea pigs, and anesthesia times were 186, 90, and 76 minutes, respectively. Placing the animals in complete lateral recumbency was found to be critical to visualize and manipulate the ovaries. The guinea pigs recovered smoothly from anesthesia. Conclusion Laparoscopic ovariectomy with 3‐mm minilaparoscopic instrumentation using a 3‐port technique was feasible in guinea pigs. Clinical significance Laparoscopic ovariectomy can be considered as an alternative to open ovariectomy as an elective surgical technique to prevent reproductive disorders in guinea pigs.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.142
GPT teacher head0.341
Teacher spread0.199 · 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; both teacher heads agree on what is shown here.

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

Citations13
Published2019
Admission routes1
Has abstractyes

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