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Record W2126306182 · doi:10.1503/cmaj.100825

Alcohol in Canada: reducing the toll through focused interventions and public health policies

2011· article· en· W2126306182 on OpenAlexaffvenueabout
Norman Giesbrecht, Tim Stockwell, P. Hume Kendall, R. R. Strang, Gerald Thomas

Bibliographic record

VenueCanadian Medical Association Journal · 2011
Typearticle
Languageen
FieldMedicine
TopicAlcohol Consumption and Health Effects
Canadian institutionsCentre for Addiction and Mental Health
Fundersnot available
KeywordsLutetiumVialMedicineNuclear medicineChemistryMaterials scienceMetallurgyChromatography

Abstract

fetched live from OpenAlex

3021 Objectives: In the United States, Lutetium-177 is being used to treat patient’s with gastro-entero-pancreatic neuroendocrine tumors with the FDA approved radiopharmaceutical Lutathera, which is manufactured by Advanced Accelerator Applications. In addition, Radiomedix, is manufacturing Lutetium-177-PSMA to treat patients with metastatic prostate cancer as part of a phase III clinical trial which is run by Endocyte. Each company uses a different process to manufacture the Lutetium, one of which adds a small amount of metastable Lutetium-177 which has a 160.4 day half-life. Without the metastable component, Lutetium-177 has a 6.65 day half-life. The difference in manufacturing methods may lead to differences in handling and disposing of the radioactive material. The purpose here is to share a single institution’s experience, OHSU, with Lutetium-177 from different manufacturers. Methods: After administration of the radionuclide therapy, any radioactive waste is stored in a secure area to decay in storage. With a half-life of 6.65 days, our process is to check for any residual activity at approximately 65 days or 10 half-lives. After this decay period, we compared residual activity in multiple vials between manufacturer’s which had the same calibration date or were within one or two days of each other. To do this comparison, we measured the vial in a dose calibrator and also withdrew 1cc from each vial and measured the counts per minute in a Perkin Elmer Wizard well counter. Results: When comparing waste from each manufacturer which had the same calibration date or were within one or two days of each other, we noticed that measured counts per minute from the well counter were 200% higher for vials from AAA. This phenomenon is consistent across all vials that were compared. We believe this is directly correlated to the metastable component that can be found in Lutetium-177 from AAA. The prolonged presence of radioactivity in the vials from AAA have required us to use a third-party company for disposal of this radioactive waste, which has led to increase in space needed for decay in storage and an additional operating cost to properly handle this material. Conclusion: In summary, Lutetium-177 has become a vital tool for radionuclide therapy, however, there are important considerations for decay and disposal of the radioactive waste which will vary based on the method of production. Having this information available when starting new programs and service lines is critical to long term success and compliance with regulatory agencies.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.052
Threshold uncertainty score0.377

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0080.003
Scholarly communication0.0040.003
Open science0.0020.005
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0400.002

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 head0.180
GPT teacher head0.366
Teacher spread0.186 · 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 source (direct Gemma or distilled Codex), 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

Citations43
Published2011
Admission routes3
Has abstractyes

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