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Molecular-size fractionation of pentastarch, radiolabelling with 99mTc, and evaluation of biological behaviour in mice

2005· article· en· W2031778142 on OpenAlexaff
Kennedy Mang era, Margaret Krzyzelewski, Shelley Greaves, David H. Greenberg, Mervyn W. Billinghurst

Bibliographic record

VenueNuclear Medicine Communications · 2005
Typearticle
Languageen
FieldMedicine
TopicBlood transfusion and management
Canadian institutionsUniversity of ManitobaHealth Sciences Centre
Fundersnot available
KeywordsChemistryFractionationChromatography

Abstract

fetched live from OpenAlex

BACKGROUND: Pentastarch is used clinically as a plasma volume expander for the management of substantial blood loss. 99mTc labelled pentastarch may be useful as a diagnostic agent in place of 99mTc labelled red blood cells. METHODS: Commercial pentastarch (PS; molecular weight (MW) 240 kDa) was separated according to molecular size by using chromatography, and the fractions were pooled as small (MW 128 kDa), medium (MW 277 kDa) and large (MW 510 kDa) pentastarch. We studied the effect of various physicochemical parameters on the efficiency of radiolabelling with 99mTc and on the stability of the products, and evaluated the biological properties of the 99mTc labelled preparations. RESULTS: We developed an optimised kit formulation containing 3.25 mg pentastarch and 0.13 mg gentisic acid that can be reliably labelled with 99mTc at pH 6.6-8.2 with good stability. In mice, the 99mTc labelled medium pentastarch showed the more favourable blood retention properties (56% of initial blood activity is retained after 3 h) with lower liver levels.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.792
Threshold uncertainty score0.215

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.065
GPT teacher head0.348
Teacher spread0.283 · 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

Citations0
Published2005
Admission routes1
Has abstractyes

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