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Record W4400030281 · doi:10.1111/vec.13391

2024 RECOVER Guidelines: Updated treatment recommendations for CPR in dogs and cats

2024· article· en· W4400030281 on OpenAlexaff
Jamie M. Burkitt, Manuel Boller, Daniel J. Fletcher, Benjamin M. Brainard, Gareth J. Buckley, Steven Epstein, Erik Fausak, Kate Hopper, Selena L. Lane, Elizabeth A. Rozanski, Jacob Wolf

Bibliographic record

VenueJournal of Veterinary Emergency and Critical Care · 2024
Typearticle
Languageen
FieldVeterinary
TopicVeterinary Pharmacology and Anesthesia
Canadian institutionsVictoria General HospitalUniversity of Calgary
FundersBoehringer Ingelheim Animal Health
KeywordsMedicineGrading (engineering)SpecialtyAdvanced life supportCardiopulmonary resuscitationMedical emergencyIntensive care medicinePopulationQuality of evidenceMEDLINEKnowledge translationEvidence-based medicineEmergency medicineFamily medicineResuscitationAlternative medicineRandomized controlled trialSurgeryPathology

Abstract

fetched live from OpenAlex

OBJECTIVE: After the 2012 Reassessment Campaign on Veterinary Resuscitation (RECOVER) CPR Guidelines, this is an update of evidence-based consensus guidelines for Basic Life Support (BLS), advanced life support (ALS), and periarrest monitoring. DESIGN: These RECOVER CPR Guidelines were generated using a modified version of the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) system for evidence evaluation and translation of this evidence into clear and actionable clinical instructions. Prioritized clinical questions in the Population, Intervention, Comparator, and Outcome (PICO) format were used as the basis to conduct systematic literature searches by information specialists, to extract information from relevant publications, to assess this evidence for quality, and finally to translate the findings into treatment recommendations. These recommendations were reviewed by the RECOVER writing group and opened for comment by veterinary professionals for 4 weeks. SETTING: Transdisciplinary, international collaboration in university, specialty, and emergency practice. RESULTS: A total of 40 worksheets were prepared to evaluate questions across the 3 domains of BLS, ALS and Monitoring, resulting in 90 individual treatment recommendations. High-dose epinephrine is no longer recommended, and atropine, if used, is only administered once. Bag-mask ventilation is prioritized over mouth-to-nose ventilation in nonintubated animals. In addition, an algorithm for initial assessment, an updated CPR algorithm, a rhythm diagnosis tool, and an updated drug dosing table are provided. CONCLUSIONS: While the majority of the BLS and ALS recommendations remain unchanged, some noteworthy changes were made due to new evidence that emerged over the past 10 years. Indirectness of evidence remains the largest impediment to the certainty of guidelines formulation and underscores an urgent need for more studies in the target species of dogs and cats.

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)0.031
metaresearch head score (Gemma)0.097
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.031
Threshold uncertainty score0.164

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0310.097
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.004
Bibliometrics0.0100.004
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0050.003
Research integrity0.0070.006
Insufficient payload (model declined to judge)0.0120.010

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 head0.190
GPT teacher head0.477
Teacher spread0.287 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations26
Published2024
Admission routes1
Has abstractyes

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