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Record W2739769576 · doi:10.1093/ajcp/aqx056

Therapeutic Plasma Exchange and Its Impact on Drug Levels

2017· review· en· W2739769576 on OpenAlex
Caleb Cheng, Jeanne E. Hendrickson, Christopher A. Tormey, Davinder Sidhu

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

VenueAmerican Journal of Clinical Pathology · 2017
Typereview
Languageen
FieldMedicine
TopicHemophilia Treatment and Research
Canadian institutionsCalgary Laboratory Services
Fundersnot available
KeywordsTherapeutic plasma exchangeDrugPharmacologyMedicineIntensive care medicineInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVES: To examine and summarize the current literature on the effects of therapeutic plasma exchange on medication levels. METHODS: Literature review was performed via searches of the Cochrane Database and PubMed-MEDLINE (1996 to August 2016) looking for all case reports, case series, and human randomized controlled trials involving therapeutic plasma exchange (TPE)-associated drug removal. RESULTS: Approximately 60 peer-reviewed articles were identified with the majority being case reports; no randomized controlled trials were identified. These reports and the authors' own experiences were used to derive practical guidance regarding the effect of TPE on circulating drug levels. CONCLUSIONS: There were several limitations with existing studies, many of which relate to procedural and/or clinical properties of patients undergoing TPE. As such, additional studies are needed before definitive guidelines can be established. There is clear need for development of consensus and additional investigations in this domain.

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)0.003
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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.993
Threshold uncertainty score0.877

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0060.002
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.385
GPT teacher head0.584
Teacher spread0.199 · 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