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Record W2405143191 · doi:10.1111/petr.12726

Pilot study on the feasibility of limited focused real‐time echocardiography during pediatric renal transplantation

2016· article· en· W2405143191 on OpenAlexaff
Katherine Taylor, Armando J. Lorenzo, Luc Mertens, Andréea Dragulescu

Bibliographic record

VenuePediatric Transplantation · 2016
Typearticle
Languageen
FieldMedicine
TopicRenal and Vascular Pathologies
Canadian institutionsHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsMedicineTransplantationIntensive care medicineCardiologyInternal medicine

Abstract

fetched live from OpenAlex

Pediatric renal transplantation protocols describe supraphysiological blood pressure and CVP to optimize graft perfusion. Ideal CVP and blood pressure targets in children are uncertain and difficult to achieve and/or sustain without incurring morbidity. We correlated intra-operative ECHO with standard monitoring to assess intravascular volume at critical intra-operative stages. A feasibility pilot study of real-time limited ECHO images during four critical stages of pediatric renal transplantation (baseline; venous and arterial clamps on; clamps off; 5-10 min post-clamp release) was conducted. Simultaneous CVP, SBP and DBP measurements were obtained with ECHO images. A surgeon blinded to the ECHO study assessed the quality of graft perfusion. Thirteen patients (nine TTE and four TEE) were enrolled. The CI increased in all patients at vascular clamp removal and the post-resuscitation period (average increase in CI 20%, range 8-49%). SBP, DBP and CVP were inconsistent. ECHO data confirmed an appropriate CI increase even when the targeted CVP and BP values described in protocols were not achieved. The surgeons were satisfied with graft perfusion in 12 of 13 cases, with one locally obstructed vessel. We suggested that aiming for fixed targets in CVP and BP is not necessary to augment CI and encourage good renal perfusion.

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)0.001
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 score0.024
Threshold uncertainty score0.546

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.044
GPT teacher head0.272
Teacher spread0.228 · 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

Citations6
Published2016
Admission routes1
Has abstractyes

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