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Treatment of MDS Related Transfusion-Dependent Anemia with Epoetin alfa: A Meta-Analysis Perspective.

2007· article· en· W2552812069 on OpenAlexaff
Suneel Mundle, Patrick Lefèbvre, Mei Sheng Duh, Francis Vekeman, Behin Yektashenas, François Laliberté, Victor Moyo

Bibliographic record

VenueBlood · 2007
Typearticle
Languageen
FieldMedicine
TopicHemoglobinopathies and Related Disorders
Canadian institutionsGroup for Research in Decision Analysis
Fundersnot available
KeywordsMedicineEpoetin alfaBlood transfusionAnemiaInternal medicinePopulationErythropoietinMeta-analysis

Abstract

fetched live from OpenAlex

Abstract Background: Regular transfusion dependence is seen in almost every MDS patient (pt) during the natural course of disease. Due to deleterious sequelae of chronic transfusions, including iron-overload, alloimmunization, and infections, delaying transfusion dependence or attainment of transfusion-independence are important MDS treatment goals. The role of epoetin alfa (EPO) is well established for anemia treatment prior to transfusion dependence, although its utility in transfusion-dependent pts is not well understood. The present meta-analysis was conducted to assess the efficacy of EPO in achieving transfusion independence in transfusion-dependent MDS pts. Methods: Data was extracted from studies from PubMed, ASCO and ASH proceedings from 1990–2006 in transfusion-dependent MDS pts treated with EPO±G/GM-CSF. Studies using International Working Group (IWG) response and IWG-like criteria with EPO±G/GM-CSF were compared with EPO monotherapy studies not using IWG criteria (Non-IWG). Pooled estimates of erythroid response (ER) rates were calculated using random-effects models. Where only pre-therapy values were available, values for post-therapy reductions in RBC requirements (units/month) were imputed based on response criteria stated in the study. Results: Included were 578 evaluable transfusion-dependent pts representing 58% of the total study population in 25 studies. All studies collectively showed significant treatment effects from baseline (BL) as evidenced by a mean overall ER rate of 34.5% and a mean proportion of pts achieving complete transfusion independence of 23.3% with EPO±G/GM-CSF (p<.001 for both). A significant decrease was observed in mean RBC units/month after treatment (2.55 pre-therapy vs 1.96 post-therapy,p=.0002,n=17 studies). IWG studies showed numerically higher ER rates and lower transfusion requirements than Non-IWG studies (Table) (p>.05). Among IWG studies, EPO monotherapy as compared to EPO±G/GM-CSF, showed comparable ER rates (41.6% vs 36.4%,p=.643), a comparable proportion of pts achieving transfusion-independence (28.8% vs 24.8%,p=0.705), and a greater reduction in RBC units/month (34.3% vs 10.4%,p=0.339). Additionally, EPO monotherapy IWG studies showed dose response with significantly higher overall ER rates in pts receiving 60-80,000 units/week vs 30-40,000 units/week (45.3% vs 30.8%,p=.041). Multivariate regression did not yield significant association of any BL study characteristics with overall ER rate. Conclusion: Findings from this meta-analysis showed EPO±G/GM-CSF treatment is effective in reducing transfusion requirements in transfusion-dependent MDS pts. Identification of predictors of EPO response in this population may offer significant clinical benefit to this subset. Study Group Non-IWG Studies IWG Studies IWG Studies EPOMonotherapy EPOMonotherapy EPO +G/GM-CSF No. of studies (evaluable pts) 12(268) 7(195) 6(115) BL sEPO levels, mU/mL (Mean±SD) 687.2±684.7 374.3±72.2 288±172.1 BL Hb, g/dL (Mean±SD) 8.5±0.6 7.9±0.4 8.1±0.4 Initial weekly dose of EPO, Units (Mean±SD) 48,310±41,345 49,326±22,752 34,789±12,083 Mean monthly pre-therapy RBC Units 2.71 2.37 2.33 Pooled ER rate, % (95%CI) 27.8(20.4–35.2) 41.6(24.5–58.6) 36.4(22.5–50.2) Post-therapy transfusion-independent pts, % (95%CI) 17.9(10.9–24.9) 28.8(12.6–45.1) 24.8(11.8–37.8) Mean post-therapy reduction in RBC units/month, % (Median) 17.3(17.1) 34.3(24.7) 10.4(11.5)

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)0.011
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.014
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.018
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0140.033
Bibliometrics0.0040.003
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.265
Teacher spread0.248 · 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 designMeta-analysis
Domainnot available
GenreReview

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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Citations1
Published2007
Admission routes1
Has abstractyes

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