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Erythroid Response (ER) Rates in Myelodysplastic Syndromes (MDS) Patients Treated with Epoetin Alfa (EPO) or Darbepoetin Alfa (DARB) Using International Working Group Response Criteria (IWGc): Comparative Meta-Analysis.

2006· article· en· W2586682261 on OpenAlexaff
Suneel Mundle, Patrick Lefèbvre, Mei Sheng Duh, Ahmed Bourezak, Behin Yektashenas, Victor Moyo

Bibliographic record

VenueBlood · 2006
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsGroup for Research in Decision Analysis
Fundersnot available
KeywordsDarbepoetin alfaMedicineInternal medicineEpoetin alfaAnemiaMeta-analysisMyelodysplastic syndromesSubgroup analysisInternational Prognostic Scoring System

Abstract

fetched live from OpenAlex

Abstract Background: EPO has been used in the treatment of refractory anemia in MDS patients for many years. Recently, with the identification of definitive patient selection criteria (low serum EPO [sEPO] levels and receipt of minimal transfusions) and standardization of ER rate evaluation methods using the IWGc, response to EPO therapy has been shown to be significantly enhanced in low/int-1 risk MDS patients. The present meta-analysis was conducted to compare ER rates (defined as major + minor response) of the two erythropoiesis-stimulating therapies (ESTs) currently available in the US, EPO and DARB, in MDS patients who were selected and evaluated for ER using the aforementioned uniform criteria. Methods: A systematic review and data extraction of studies from PubMed and ASCO/ASH proceedings from 1990–2006 in MDS patients treated with EPO monotherapy and from 2003–2006 in those treated with DARB monotherapy was performed. Pooled estimates of ER rates were calculated in each group using random-effects meta-analysis methods, which incorporated both between- and within-group variations. Multivariate meta-regression analysis was further conducted to control for differences in baseline characteristics between the two groups. Results: Nine EPO studies (N=619 patients, N evaluable for ER rate =589) and 8 DARB studies (N=442, N evaluable for ER rate =389) were identified. Baseline characteristics were comparable between the two groups with respect to age, gender, mean baseline hemoglobin, transfusion dependency rates, and proportion of patients with refractory anemia/refractory anemia with ringed sideroblasts. The mean baseline sEPO levels were significantly higher in the EPO group, compared to the DARB group (376: range 43–418; vs. 133: range 68–303 mU/mL, p=0.0026). The average initial weekly dose in the EPO studies was 47,851 (range: 30,000–80,000) Units, while that in the DARB studies was 176 (range: 100–315) mcg. There was no significant difference in the pooled estimate of the ER rates for either EST (57.6%: 95% CI; 45–70) for the EPO studies vs. (59.4%: 95% CI; 49–70) for the DARB studies, (p=0.8282). Further, as compared to the studies with standard doses of the two ESTs per week (EPO 30,000–40,000 Units; DARB ≤ 150 mcg), those using higher doses of EPO (60,000–80,000 Units) or DARB (>150 mcg) per week showed significantly higher ER rates (EPO- 47.8% vs. 63.3%, p<0.001; DARB −52.6% vs. 71.1%, p<0.001). Conclusions: This current meta-analysis demonstrates that, with the use of standardized patient selection and response evaluation methods, the two clinically available ESTs yield comparable ER rates in MDS 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)0.017
metaresearch head score (Gemma)0.025
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: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.089

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.025
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0100.039
Bibliometrics0.0050.004
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0020.001
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 head0.089
GPT teacher head0.353
Teacher spread0.264 · 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
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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Citations1
Published2006
Admission routes1
Has abstractyes

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