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Record W4405211799 · doi:10.1177/08968608241301688

Peritoneal dialysis and its impact on intra-abdominal pressure and respiratory mechanics in the critically ill patient: Can PD take the pressure?

2024· article· en· W4405211799 on OpenAlexaff
Ryan Chan, Robert R. Quinn, Joanne M. Bargman

Bibliographic record

VenuePeritoneal Dialysis International · 2024
Typearticle
Languageen
FieldMedicine
TopicAbdominal Surgery and Complications
Canadian institutionsToronto General HospitalUniversity of CalgaryUniversity Health Network
Fundersnot available
KeywordsMedicinePeritoneal dialysisIntensive care medicineRenal replacement therapyMechanical ventilationIntensive care unitCritically illAbdomenDialysisRespiratory failureAbdominal compartment syndromePopulationAnesthesiaSurgery

Abstract

fetched live from OpenAlex

Peritoneal dialysis (PD) was historically the initial kidney replacement modality of choice for patients admitted to the intensive care unit, and there are several advantages to maintaining critically ill PD patients on their usual dialysis therapy. However, in this patient population, there are two contentious questions: how are the respiratory dynamics of mechanical ventilation impacted by the presence of dialysate within the abdomen, and what can be done to mitigate these potential effects? This review discusses the theoretical impact of PD on intra-abdominal pressure (IAP) and evidence for the effect of IAP on respiratory mechanics in mechanically ventilated PD patients.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.416
Threshold uncertainty score0.659

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0000.001
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 head0.016
GPT teacher head0.304
Teacher spread0.288 · 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 designNot applicable
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

Citations2
Published2024
Admission routes1
Has abstractyes

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