MétaCan
Menu
← Back to cohort
Record W4405051237 · doi:10.1182/blood-2024-208502

Long Term Survivors (>15 years) of Multiple Myeloma: Patient Characteristics and Morbidity Burden

2024· article· en· W4405051237 on OpenAlexaff
Rintu Sharma, Karla Sanchez, Badraa Muharib, Esther Masih‐Khan, Eshetu G. Atenafu, Harjot Vohra, Sita Bhella, Christine I. Chen, Guido Lancman, Vishal Kukreti, Anca Prica, Donna Reece, Rodger E. Tiedemann, Suzanne Trudel, Chloe Yang, A. Keith Stewart

Bibliographic record

VenueBlood · 2024
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsUniversity of TorontoPrincess Margaret Cancer CentreUniversity Health Network
Fundersnot available
KeywordsMedicineMultiple myelomaTerm (time)PediatricsInternal medicineIntensive care medicineGerontology

Abstract

fetched live from OpenAlex

Background: Recent advances in Multiple Myeloma (MM) have led to improved outcomes and increased longevity for many patients, raising new questions about the consequences of multiple years of therapy on quality of life and co morbidities. The literature is sparse on this topic. Our primary objective was to define retrospectively the baseline patient and disease-related characteristics of long term (>15 year) survivors, the duration of their first progression free survival (PFS) and to describe the burden of long-term treatment or disease related morbidities. Methods: Using an REB-approved institutional myeloma-specific database, we retrospectively identified 148 MM patients diagnosed between 1988-2008 who survived between 15-29 years after diagnosis. Baseline Charleson Comorbidity Index (CCI) was calculated retrospectively from the charts and myeloma responses were recorded according to IMWG criteria. An updated contemporaneous CCI on survivors will be presented. Results: We identified 148 patients who survived > 15 years. Median age at diagnosis was 51.6 (32-71) years, 54% were male. Baseline CCI (from chart review) was low in these patients with 64% patients having CCI of 0-1 and only 6 (4%) had a CCI score of >4 at initial presentation. Median hemoglobin, creatinine and calcium at diagnosis were 11 (5.4-15.6) g/L, 89.0 (22-1304) umol/L and 2.4 (1.9-3.93) nmol/L respectively. Median marrow involvement was 50% (5-98). Baseline stage (available in 105 patients) was ISS I in 50%, II in 36%. Only 5% (n=7) patients had extramedullary disease and 20% (of 113 available) had elevated LDH. Paraprotein was IgG (59%) and light chain only myeloma was present in 20%. FISH or conventional cytogenetics was only available in 63 patients (42%), of those only 11% were high risk as defined by current standard definitions. Ninety one percent (n=135) of patients received high dose therapy and Autologous Stem Cell Transplant (ASCT) after induction therapy and 9% amongst these received tandem transplant for high-risk disease. 53% (n=65 of 122 with available response) of patients achieved VGPR or better (VGPR 45%, CR 8%, PR 39%, MR 2%) post ASCT. At median follow up of 18 (15-29) years, 80 (54%) remain on follow up. Amongst these, 41 (27%) remain off therapy on observation. Median Progression Free Survival (PFS) of the cohort after first line therapy was 7 years (95% CI 7.3-10.8) thus long-term survivors declared themselves early, with 5-year and 10-year PFS of 67% and 39% respectively. Interestingly, 31 (21%) patients never relapsed after first line of therapy and depth of post ASCT response had no influence on PFS. Median number of lines of treatment was 3 (range 1-11). Only 11% (n=16) of the patients had triple-class refractory disease and as of this analysis, only five patients had received anti-BCMA CAR T-cell therapy. With respect to cumulative morbidity, the incidence of identified secondary malignancies among these long-term survivors excluding nonmelanoma skin malignancies was 15.5% (solid tumours, n=15, therapy-related MDS/AML, n=8). The cumulative risk of an identifiable grade 3-4 infection was 20% in this cohort. The high 15-year incidence of reported cardiovascular (19%) and neurological events (12%) could be attributed to advancing age-related diseases unrelated to MM. A significant 33% of patients continued to have persistent symptomatic treatment-related peripheral neuropathy requiring pharmacotherapy. Venous thromboembolism and pulmonary embolism events occurred in 10% (n=15) and new pathological fractures were reported in 6.7% (n=10) of patients with the caveat of inconsistent bone health monitoring. Although only one patient required hemodialysis at presentation, 15-year risk of developing dialysis-dependent renal impairment was 5.4%. Conclusions: Although our analysis is limited by its retrospective nature and frequent unavailability of baseline cytogenetics; low risk baseline features, younger age of diagnosis, use of ASCT, and a prolonged first PFS were characteristics of long-term MM survivors. Unsurprisingly, given the era and medications commonly used in myeloma treatment during the early years (steroids, adriamycin, vincristine, melphalan, cyclophosphamide, thalidomide), significant late comorbidities were frequent. With accelerating longevity, quality of life analysis and structured myeloma survivorship programs will be more relevant and helpful.

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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.028
GPT teacher head0.291
Teacher spread0.263 · 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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueBlood→Same topicMultiple Myeloma Research and Treatments→French-language works237,207→