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A Systematic Review and Meta-Analysis of Thalidomide in Patients with Previously Untreated Multiple Myeloma.

2006· review· en· W2504016118 on OpenAlexaff
Lisa K. Hicks, Adam E. Haynes, Donna Reece, Irwin Walker, Jordan A. Herst, Kevin Imrie

Bibliographic record

VenueBlood · 2006
Typereview
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsSudbury Regional HospitalMcMaster University Medical CentrePrincess Margaret Cancer CentreCancer Care OntarioMcMaster UniversityHealth Sciences CentreSunnybrook Health Science Centre
Fundersnot available
KeywordsThalidomideMedicineMultiple myelomaInternal medicineNumber needed to treatAdverse effectNumber needed to harmRegimenRelative riskCochrane LibraryMeta-analysisOncologyRandomized controlled trialConfidence interval

Abstract

fetched live from OpenAlex

Abstract Background: Multiple myeloma disproportionately affects the elderly and is currently an incurable malignancy. New therapies for myeloma, particularly oral therapies, are urgently needed. Objectives: To determine if thalidomide with or without other agents, improves response rate (≥ 50% reduction in monoclonal protein), survival, and/or progression in patients with previously untreated myeloma. To determine the frequency and significance of major adverse events associated with thalidomide in this setting. Methods: A literature search of Medline (1966–June 2006), Embase (1980–June 2006), the Cochrane Library, abstracts from the annual meetings of the American Society of Hematology (1999–2005) and the American Society of Oncology (1999–2006) was completed with a pre-specified search strategy. No language restrictions were applied. Randomized controlled trials of induction thalidomide (any dose, any duration) for adults with previously untreated multiple myeloma were included. Trials of exclusively maintenance therapy were excluded. Two reviewers independently extracted data. The methodological quality of selected trials was assessed and summarized. Weighted data was expressed as relative risk, risk difference, number needed to treat (NNT), and number needed to harm (NNH). A random-effects model was used. Results: Six eligible studies involving almost two thousand patients (N=1875) were identified and meta-analyzed. Two studies were published and four were reported in abstract form only. Five studies reported overall response rate (ORR); the four largest trials reported statistically significant improvements in ORR with the addition of thalidomide to standard therapy. The weighted relative risk of responding to a thalidomide-containing regimen versus control was 1.50 (95% CI 1.21 to 1.86). The NNT to achieve one additional response with thalidomide was 4 (95% CI 2.9 to 8.3). Two trials reported improvements in EFS/PFS. One trial reported an improvement in OS. The risk of VTE, peripheral neuropathy, and constipation was consistently elevated with thalidomide such that for every 50 patients treated with a thalidomide-containing-regimen, one could expect 12 to 13 additional patients to respond, 4 additional patients to develop VTE (NNH 12.5; 95% CI 8.3 to 20), 2 additional patients to develop peripheral neuropathy (NNH 25; 95% CI 16.7 to 50), and 4 additional patients to develop constipation (NNH14; 95% CI 10 to 25). In our analyses, prophylactic anticoagulation appeared to decrease, but not abolish, the risk of VTE with thalidomide. Conclusions: Thalidomide improves response rate and possibly progression free and overall survival in patients with previously untreated myeloma. It also increases the incidence of VTE, neuropathy, constipation and other adverse events. Further studies are required to confirm the survival advantage seen in one study, and to determine the optimum strategy for VTE prophylaxis.

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)0.021
metaresearch head score (Gemma)0.053
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (broad)
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 score0.975
Threshold uncertainty score0.112

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.053
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0250.033
Bibliometrics0.0100.010
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0020.002
Research integrity0.0030.002
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 head0.046
GPT teacher head0.324
Teacher spread0.277 · 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.

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".

Quick stats

Citations1
Published2006
Admission routes1
Has abstractyes

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