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Record W4389258985 · doi:10.1182/blood-2023-180430

Restrictive Versus Liberal Red Blood Cell Transfusion Strategies for Patients with Hematologic Malignancies Receiving Intensive Chemotherapy

2023· article· en· W4389258985 on OpenAlexaff
M Radford, Megan Watson, Emily Sirotich, Tyler Pitre, Joanne Britto, Susan J Brunskill, Dean Fergusson, Donald M. Arnold, Lise J Estcourt

Bibliographic record

VenueBlood · 2023
Typearticle
Languageen
FieldMedicine
TopicHematopoietic Stem Cell Transplantation
Canadian institutionsOttawa HospitalUniversity of OttawaJuravinski HospitalMcMaster UniversityUniversity of TorontoJuravinski Cancer Centre
Fundersnot available
KeywordsMedicineBlood transfusionAnemiaRandomized controlled trialInternal medicineAplastic anemiaIntensive care medicinePediatricsSurgery

Abstract

fetched live from OpenAlex

Background: It is estimated that one-quarter to one-half of people diagnosed with hematologic malignancies experience anemia and red blood cell (RBC) transfusion plays an essential supportive role in their management. There are different strategies for RBC transfusions to treat anemia. A restrictive transfusion strategy seeks to maintain a lower hemoglobin level (usually between 70 g/L to 90 g/L with a trigger for transfusion when the hemoglobin drops below 70 g/L), whereas a liberal transfusion strategy aims to maintain a higher hemoglobin (usually between 100 g/L to 120 g/L, with a threshold for transfusion when hemoglobin drops below 100 g/L). The most effective and safest strategy is unknown in people with hematological malignancies. Objectives: To determine the efficacy and safety of a restrictive versus liberal RBC transfusion strategies for people diagnosed with hematological malignancies treated with intensive chemotherapy, radiotherapy, or both, with or without a hematopoietic stem cell transplant (HSCT). Methods: Review was completed using Cochrane standard methodological procedures. We included randomized controlled trials RCTs and prospective non-randomized studies NRS that evaluated a liberal compared with a restrictive RBC transfusion strategy in children or adults with malignant hematological disorders receiving intensive chemotherapy/radiotherapy or undergoing HSCT. We searched for RCTs and NRS in MEDLINE, Embase, CINAHL, Cochrane Central Register of Controlled Trials, and eight other databases and three trial registries to 21 March 2023. For dichotomous outcomes such as mortality, results were presented as a risk ratio (RR) with 95% confidence interval (CI) to compare restrictive versus liberal transfusion strategies. For continuous outcomes using the same scale, we assessed the mean difference (MD) with 95% CI. Where outcome measures were heterogenous, a narrative synthesis was used. Review Manager Web was used to meta-analyze the data. GRADE rating methodology was used for the overall certainty of evidence from included studies. Main Results: Nine studies were included: eight RCTs and one NRS. 644 participants were included in analyses from six completed RCTs (n=560) and one completed NRS (n=84). Two ongoing RCTs consisting of 294 participants (260 adult and 34 pediatric) are pending inclusion. One completed RCT included children receiving HSCT (n=6) and five RCTs only included adults (n=239 with acute leukemia receiving chemotherapy and n=315 with a hematological malignancy receiving HSCT). The restrictive strategies varied from 70 g/L to 80 g/L and liberal strategies from 80 g/L to 120 g/L. A restrictive strategy was found to result in a reduction in the number of RBC units per participant compared to a liberal strategy (Four studies; 457 participants; MD: -2.39, 95%CI -3.38 to -1.39, P = <0.00001). No difference was seen in bleeding between strategies although there was high concern for bias in included trials. Effects were reported in the summary of findings tables for RCTs (Table 1) which included results from adults only to reduce indirectness as a result of limited information from the single published pediatric RCT which was terminated early. Overall, a restrictive RBC transfusion strategy may result in little to no difference in the risk of death at 31 to 100 days compared to a liberal transfusion strategy (three studies; 382 participants; RR 0.74, 95% CI 0.13 to 4.09, P= 0.73; I 2=28%; low-certainty evidence). Two outcomes (mortality at 31 to 100 days and clinically significant bleeding) were reported from the one NRS (Table 2). The evidence is very uncertain whether there is a difference in mortality and clinically significant bleeding between the transfusion strategies based on the very low-certainty evidence. Conclusions: A restrictive transfusion strategy demonstrated a reduction in RBC usage, while there may be no impact on mortality. Definite conclusions are challenging given the relatively few studies with low numbers of included participants, concern for bias, heterogeneity of intervention and outcome reporting and overall certainty of evidence. There is a need for larger and methodologically better designed and executed studies. There is insufficient evidence to answer this review's primary outcome. Further RCTs are required overall, particularly trials inclusive of pediatric participants.

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)0.006
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.027
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0050.006
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.019
GPT teacher head0.250
Teacher spread0.231 · 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 designRandomized 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

Citations3
Published2023
Admission routes1
Has abstractyes

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