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Record W1999613045 · doi:10.1592/phco.26.11.1587

Erythropoietic Response to Two Epoetin alfa Regimens in Critically Ill Patients: A Pilot Study

2006· article· en· W1999613045 on OpenAlexaffabout
Martin Darveau, Éric Notebaert, André Denault, David Williamson, Martin Albert, Sylvain Bélisle, Jean Lachaîne

Bibliographic record

VenuePharmacotherapy The Journal of Human Pharmacology and Drug Therapy · 2006
Typearticle
Languageen
FieldMedicine
TopicErythropoietin and Anemia Treatment
Canadian institutionsCentre Hospitalier de l’Université de MontréalMontreal Heart InstituteUniversité LavalUniversité de MontréalHôpital du Sacré-Cœur de MontréalCégep de Lévis
Fundersnot available
KeywordsMedicineErythropoietinEpoetin alfaTolerabilityCritically illAdverse effectAnemiaInternal medicineHemoglobin

Abstract

fetched live from OpenAlex

STUDY OBJECTIVE: To compare the erythropoietic responses and tolerability of two recombinant human erythropoietin (EPO) regimens. DESIGN: Prospective, open-label, multicenter study. SETTING: Three multidisciplinary intensive care units in Québec, Canada. PATIENTS: Sixty critically ill patients. INTERVENTION: The first 30 patients received EPO 40,000 U/week (group A); the next 30 received 40,000 U twice/week (group B). MEASUREMENTS AND MAIN RESULTS: Percent change from baseline in reticulocyte count and hemoglobin concentration were evaluated in both groups on study days 7 and 14. The numbers of adverse events were also compared between the two groups. No statistically significant differences were found in the results between the two groups. CONCLUSION: Although the study had limitations, it suggested that EPO 40,000 U twice/week did not increase or sustain stimulation of the erythropoietic response compared with EPO 40,000 U/week in critically ill patients.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.353
Teacher spread0.333 · 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 designNon-randomized trial
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

Citations5
Published2006
Admission routes2
Has abstractyes

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