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How to use central venous pressure measurements

2005· article· en· W2061076996 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCurrent Opinion in Critical Care · 2005
Typearticle
Languageen
FieldMedicine
TopicHemodynamic Monitoring and Therapy
Canadian institutionsRoyal Victoria HospitalRoyal Victoria Regional Health CentreMcGill University Health Centre
Fundersnot available
KeywordsCentral venous pressureMedicineVenous return curveHemodynamicsContext (archaeology)Blood pressureCardiologyIntensive care medicineAnesthesiaInternal medicineHeart rate

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Central venous pressure is a very common clinical measurement, but it is frequently misunderstood and misused. As with all hemodynamic measurements, it is important to understand its basic principles. RECENT FINDINGS: This analysis indicates that it is best to always consider the significance of central venous pressure in the context of the corresponding cardiac output. Even more important is the use of dynamic measures to interpret the meaning of the central venous pressure. This includes the hemodynamic response to fluid load, respiratory variations in central venous pressure, and even the change in central venous pressure with changes in the patient's overall status. SUMMARY: The clinical application of central venous pressure measurement requires a good understanding of the concept of the interaction of the function of the heart with the function of the return of blood to the heart.

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.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.877
Threshold uncertainty score0.520

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 head0.236
GPT teacher head0.443
Teacher spread0.207 · 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