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Record W2095512921 · doi:10.1159/000363049

What Is Single Needle Cannulation Hemodialysis: Is It Adequate?

2014· article· en· W2095512921 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueBlood Purification · 2014
Typearticle
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsLondon Health Sciences CentreWestern University
FundersLondon Health Sciences Centre
KeywordsHemodialysisMedicineUreaBlood flowUrologySurgeryNuclear medicineChemistryInternal medicineBiochemistry

Abstract

fetched live from OpenAlex

BACKGROUND: It is important to know the relative clearances obtained when using single-needle versus double-needle cannulation techniques. METHOD: Twelve hemodialysis treatments were conducted using a machine that is capable of single-needle as well as double-needle cannulation. Single-needle and double-needle blood flow rates, as well as urea clearance, were compared. RESULTS: The measured blood flow rates were 368 ± 11 ml/min, 294 ± 4 ml/min, 200 ± 0 ml/min, and 100 ± 0 ml/min during double-needle hemodialysis and were 201 ± 10.9 ml/min, 173 ± 44.9 ml/min, 103 ± 4.1 ml/min, and 45 ± 4.9 ml/min during single-needle hemodialysis. The hemodialysis urea clearances at similar blood flow rate (approximately 200 ml/min) were 167 ± 4 ml/min and 161 ± 9 ml/min (paired t test; p > 0.05), respectively. CONCLUSION: The measured blood flow rates and urea clearances during single-needle hemodialysis were approximately half of the measured blood flow rate during double-needle hemodialysis, and should be used in selected settings.

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 score0.642
Threshold uncertainty score0.715

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)0.0010.001

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 head0.025
GPT teacher head0.261
Teacher spread0.236 · 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