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A Systematic Literature Review on the Epidemiological Burden in Multiple Myeloma

2014· article· en· W802914929 on OpenAlexaboutno aff
Maria Teresa Rizzo, Yingxin Xu, Ike Iheanacho, Sumeet Panjabi

Bibliographic record

VenueBlood · 2014
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineEpidemiologyMEDLINEIncidence (geometry)Multiple myelomaSystematic reviewFamily medicineDemographyInternal medicine

Abstract

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Abstract Objective: Multiple myeloma (MM) is a rare condition, that is, one defined by the European Medicines Agency as affecting no more than 5 in 10,000 people in the EU. It is also the second most common hematologic malignancy. MM is particularly burdensome because most patients eventually relapse and develop refractory disease. To help characterize the epidemiological burden and trends associated with the condition we conducted a systematic literature review to identify published evidence on outcomes including overall incidence and prevalence and survival in patients with relapsed (R) or relapsed and refractory (RR) MM. Methods: We searched the MEDLINE and Embase databases for articles in English published between 2003 and 2013. Identified studies were initially screened using information in the title and abstract, and then by examining the full text using predefined inclusion and exclusion criteria. These criteria specified that to be included, studies had to have reported real-world data on the incidence or prevalence of MM or survival in patients with RMM/RRMM in the following countries: Australia, Austria, Belgium, Brazil, Canada, France, Germany, Italy, Korea, Mexico, the Netherlands, Spain, Sweden, Switzerland, Taiwan, and the UK. To improve generalizability, only studies with a sample size of 100 patients or more were included. Results: The review identified a total of 1,632 studies across MEDLINE and Embase. Following screening, 22 studies met the predefined selection criteria (as described above in the Methods section). Most studies (n=21) were retrospective in design, of which 10 studies reported on incidence and/or prevalence outcomes and 12 on survival. Specifically, incidence was reported for populations in Brazil (n=1), Canada (n=1), France (n=1), Germany (n=1), Italy (n=1), Korea (n=3), and Taiwan (n=2); two of these studies also reported prevalence data for populations in Brazil and Korea. The studies on survival included patients who received a range of 1 to 9 previous treatments for MM and were conducted in Canada (n=1), France (n=1), Germany (n=2), Italy (n=4), South Korea (n=1), Spain (n=1) and the UK (n=2). No published studies for any of the outcomes of interest were identified for populations in the following countries: Australia, Austria, Belgium, Mexico, the Netherlands, Sweden, or Switzerland. In the studies that reported a crude (i.e., age-unadjusted) incidence for MM, the incidence ranged from around 1.4 to 2.1 cases per 100,000 population per year. Of note, the incidence was found to have risen in recent decades, from 1.0 case per 100,000 population in 1999 to 1.5 cases per 100,000 in 2009 in Korea (a rise of 4.1% each year; p < 0.05) and from 0.36 cases per 100,000 in the period from 1979 to 1983 to 1.6 cases per 100,000 in 2009 in Taiwan (a 4.4-fold increase between these years). The prevalence of MM was 5.7 per 100,000 population from October 2009 to March 2010 in Brazil and 5.5 per 100,000 population in January 2010 in Korea. Among patients who received chemotherapy regimens to manage RMM/RRMM, overall survival ranged from 12.4 months in those treated with bendamustine (following a median of 4 previous lines of therapy that included alkylators, steroids, an immunomodulatory drug, and bortezomib) to 26.2 months for those treated with thalidomide with or without the use of salvage therapy (following a median of 1 prior therapy). One study that explored predictors of overall survival found that this outcome was significantly worse in patients who previously receive more lines of treatment (3 or above) compared with those who received fewer lines of treatment (18.1 months compared with 38.9 months, respectively; p = 0.019). Conclusions: Recently published data on key epidemiological outcomes in MM are limited, even for several industrialized countries, perhaps reflecting the condition’s rare-disease status. The available evidence suggests that the incidence of MM has been rising in recent decades, though the overall incidence remains low enough for MM to still be considered a rare disease. Despite the range of chemotherapeutic options that are currently available, survival in patients who have RMM/RRMM is poor and worsens with each relapse and with increasing number of prior lines of treatment. This pattern of decreasing survival in later lines of treatment suggests the need for additional therapies to improve outcomes in MM and RMM/RRMM. Disclosures Rizzo: Onyx Pharmaceuticals, Inc., an Amgen subsidiary: Consultancy; Evidera: Employment. Xu:Onyx Pharmaceuticals, Inc., an Amgen subsidiary: Consultancy; Evidera: Employment. Iheanacho:Onyx Pharmaceuticals, Inc., an Amgen subsidiary: Consultancy; Evidera: Employment. Panjabi:Onyx Pharmaceuticals, Inc., an Amgen subsidiary: Employment, Equity Ownership.

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)0.051
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.023
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.051
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0090.007
Bibliometrics0.0230.024
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0020.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.041
GPT teacher head0.316
Teacher spread0.275 · 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 designSystematic review
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
Published2014
Admission routes1
Has abstractyes

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