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Record W4405040200 · doi:10.1182/blood-2024-209251

Incidence and Prevalence of Clinically Detected Smoldering Multiple Myeloma Among the General Population

2024· article· en· W4405040200 on OpenAlexaffabout
Victor H. Jimenez‐Zepeda, Irwindeep Sandhu, Michael P. Chu, Kathryn N. Rankin, Arleigh McCurdy, Hyra Sapru, Christopher Cipkar, Edward H. Koo, Benjamin Patrick, M. Henia, Christopher R. McCudden, Alissa Visram

Bibliographic record

VenueBlood · 2024
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsUniversity of OttawaOttawa HospitalAlberta Health ServicesUniversity of AlbertaUniversity of Calgary
Fundersnot available
KeywordsIncidence (geometry)Multiple myelomaMedicinePopulationInternal medicineEnvironmental health

Abstract

fetched live from OpenAlex

Introduction: Emerging data shows that early therapeutic intervention in patients with high risk smoldering multiple myeloma (SMM) may improve outcomes. While treatment of high-risk SMM is not standard of care in Canada, understanding the epidemiology of SMM in our region is important to contextualize the future healthcare resource implications of SMM treatment. Therefore, this study's primary aim was to assess the incidence and prevalence of clinically- detected SMM among the general population over time, diagnosed as part of routine standard of care. Though a recent population-level screening study has shown that among screened patients, the prevalence of SMM in the general population over 40 years old is 0.53% (Thorsteindottir et al. BCJ 2023), we hypothesize that the prevalence of clinically-detected SMM population will be much lower. Methods: This retrospective observational study included all patients in the Champlain Local Health Integration Network (LHIN) found to have an abnormal monoclonal protein (MCP) (an abnormal serum or urine protein electrophoresis or immunofixation, or free light chain [FLC] ratio) between January 1, 2010, and December 31, 2022. Charts were reviewed to identify patients initially diagnosed with or progressing to SMM. Healthcare services in Ontario, Canada are provided through regional LHINs. The Ottawa Hospital is the only tertiary care and hematology referral center in the Champlain LHIN, therefore, we assumed that all incident cases of SMM were evaluated at our center and included in this study. To provide population-based incidence and prevalence rates of SMM, the adult population of individuals living within the Champlain LHIN was taken from the published 2016 and 2021 census data. The incidence of SMM was defined as the date a patient met clinical criteria for SMM (bone marrow [BM] plasma cells 10-59% in the absence of myeloma defining events [MDE], or MCP ≥30 g/L and no MDE if no bone marrow performed). The prevalence of SMM was defined as the number of patients actively followed for SMM at our institution during the relevant time-period. The date of last follow up was July 1, 2024. Results: A total of 5948 people had an abnormal MCP between 2010-2022, of whom 229 (3.9%) were diagnosed with SMM. Of the 229 SMM patients, the initial diagnosis was MGUS in 74 (32%) and SMM in 155 (68%) patients. Among the 229 SMM patients, 9 (4%) met criteria for high risk SMM based on the Mayo 20/20/20 score (Lakshman et al. BCJ 2018). However, given the initial lack of availability of the FLC test during the entire study period, FLC data was missing in 82 (36%) of patients. Among SMM patients, the median MCP at the time of first evaluation was 17.7 (IQR 10.3-29.5) g/L if diagnosed between 2010-2014, 13.5 (IQR 6.7-21.9) if diagnosed between 2015-2019, and 9.3 (IQR 3.5-14.4) g/L if evaluated between 2020-2022. A baseline BM evaluation was performed among 79% (n=46) and 94% (n=157) of patients diagnosed with SMM between 2010-2014 (n=62) and 2015-2022 (n=167), respectively. Overall, 108 (47%) of SMM patients were alive and had been clinically evaluated since July 1, 2023. The incidence of SMM among per 100,000 people in the general population (n=1,230,655 in 2011; n=1,292,639 in 2016; n=1,394,070 in 2021) increased from 0.5 cases in 2011, to 0.9 cases in 2016, to 1.4 cases in 2021. If restricting to only people aged ≥40, the incidence of SMM per 100,000 people in the general population (n=623,370 in 2011, n=670,195 in 2016, and n=719,920 in 2021) was 1 case in 2011, 1.8 cases in 2016 and 2.8 cases in 2021. The prevalence of SMM per 100,000 people in the general population was 6.9 cases in 2011 (n=21), 7.7 (n=58) in 2016, and 11.3 (n=114) in 2021. The incidence of SMM among patients with an abnormal MCP increased from 1.6% (n=6 SMM; n=378 abnormal MCP) in 2011, 2.8% (n=12 SMM; n=12 abnormal MCP) in 2016, to 4.1% (n=20 SMM; n=486 abnormal MCP) in 2021. Conclusion: This large study shows that the prevalence of clinically-detected SMM among adults above age ≥40 is lower than reported in a universally screened patient population. While the incidence of SMM among patients with an abnormal MCP and among the general population has increased over time, the abnormal MCP size at diagnosis has decreased over time. This suggests that clinicians are more thoroughly evaluating patients for SMM even with smaller MCPs. Larger cohort studies are needed to evaluate if the incidence of clinically detected high-risk SMM has also increased over time.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.180
Threshold uncertainty score0.359

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.026
GPT teacher head0.323
Teacher spread0.297 · 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 designObservational
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
Published2024
Admission routes2
Has abstractyes

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