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A Comparison of Administration Time between Red Blood Cell Transfusion and Chemotherapy.

2005· article· en· W2567167795 on OpenAlexaff
Ian Chin‐Yee, Anargyros Xenocostas, Wendy W. Cheung, Anita S. Hibbert

Bibliographic record

VenueBlood · 2005
Typearticle
Languageen
FieldMedicine
TopicNeutropenia and Cancer Infections
Canadian institutionsLondon Health Sciences Centre
Fundersnot available
KeywordsMedicineChemotherapyChemotherapy regimenBlood transfusionInternal medicinePhlebotomySurgery

Abstract

fetched live from OpenAlex

Abstract In oncology patients, the majority of chemotherapy and red blood cell (RBC) transfusions occur in outpatient ‘chemotherapy’ units, where they compete for resources such as nursing time and “chair-time”. This study was to accurately assess the “chair-time” consumed by transfusion patients, in order to estimate the chemotherapy administration opportunities lost to RBC transfusions. Over four weeks, “chair-time”, defined as the time difference between the admission of each patient into care to their time of discharge, was prospectively evaluated in a tertiary-care outpatient cancer clinic with a referral population base of 2 million. Chair-times were then grouped into three types of care - RBC transfusions, chemotherapy administrations, and “other” (phlebotomy, central line catheter care, etc.) - to enable comparison. Chair-time is reported as a mean (+/− SD). Patient demographics (age, sex, diagnosis, chemotherapy regimen, pre-transfusion hemoglobin) were also recorded. A total of 1354 visits to the chemotherapy suite were captured over one month. Of these, 1279 visits had evaluable data for further analysis, and can be divided as follows: 1023 (80%) chemotherapy administrations, 44 (3.4%) RBC transfusions, and 212 (16.6%) “other”. 38 patients accounted for the 44 RBC transfusions. Of those, 14 were hematological malignancy patients (ALL, AML, CLL, HD, Myeloma, Lymphoma), 12 were solid tumor patients and the remaining 12 had other hematological disorders (Aplastic Anaemia, Myelodysplasia, Myelofibrosis). Among the malignant patients, 20 were receiving chemotherapy during the study period. The mean chair-time for all accurately recorded events was 1 hr 49 min (+/− 1 hr 39 min). Divided into types of care, the mean chair times were: 1 hr 59 min (+/− 1 hr 40 min) for chemotherapy, 3 hr 51 min (+/− 47 min) for RBC transfusion, and 34 min (+/− 43 min) for “other” care. The average time per RBC unit transfused was 1 hr 49 min (+/− 19 min) and the average number of units per transfusion was 2.2 units. When chemotherapy chair-times were examined, and patients were grouped by diagnoses, it was found that patients with lymphoma (most commonly treated with R-CHOP, or other Rituximab containing regimens), and gynecological cancers (most commonly treated with regimens containing carboplatin) had the longest chair-times, at 4 hr 20 min (+/− 1 hr 24 min) and 3 hr 50 min (+/− 2 hr 11 min) respectively. Although RBC transfusions make up only 3.4% of all events in our chemotherapy suite, they occupy almost twice as much chair-time as compared to chemotherapy. Depending on the patient population, clinics with a high rate of RBC transfusions might consider transfusion alternatives, as emerging monoclonal antibody chemotherapies augment the time necessary for administering chemotherapy, and chair-time becomes an increasingly valuable resource.

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)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.017
GPT teacher head0.299
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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2005
Admission routes1
Has abstractyes

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