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Sporadic late-onset nemaline myopathy with monoclonal paraprotein as a malignancy rather than disimmunity and treatment with chemotherapy-based approach.

2020· article· en· W3032053629 on OpenAlexaff
Rouslan Kotchetkov, David Susman, Francis K. Buadi, Angela Dispenzieri

Bibliographic record

VenueJournal of Clinical Oncology · 2020
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsWestern UniversityBarrie Urology Group
Fundersnot available
KeywordsMedicineNemaline myopathyPlasmapheresisRituximabMonoclonal gammopathy of undetermined significanceInternal medicineChemotherapyGastroenterologyMalignancyAutologous stem-cell transplantationImmunosuppressionMonoclonalLymphomaOncologyImmunologyMyopathyAntibodyMonoclonal antibody

Abstract

fetched live from OpenAlex

8545 Background: A subset of sporadic late-onset nemaline myopathy (SLONM) associated with monoclonal gammopathy of undetermined significance (MGUS) has more aggressive course, often fatal. Whether SLONM+MGUS is a malignancy or dysimmunity is unclear. Two approaches are used to treat SLONM+MGUS: 1) immunosuppression (IS) ± plasmapheresis/exchange; 2) chemotherapy (ChT) ± autologous stem cell transplantation (ASCT). Due to the rare occurrence of the disease the best treatment modality is not known. Methods: We conducted a literature search to identify previous treatment for patients with SLONM+MGUS using PubMed, Elsevier, Medline, and CINAHL databases from 1975 to 2019. All publications were carefully reviewed to remove “duplicate” patients. Overall, 28 reports were included for the final analysis. Results: 38 unique patients with SLONM+MGUS received either IS (n = 19) or ChT ± ASCT (n = 19). The median age was 48 years [24-75]. In the IT group 74% (n = 14) were males vs 53% (n = 10) in the ChT group. All patients had IgG monoclonal protein (MP): kappa in 57% (n = 11) in the IT, 42% (n = 8) in the ChT group. In the IT group MP values were 0.42 & 0.2 g/L (n = 2); in the ChT group median MP was 2.7 g/L [0.1-14, n = 14]. In the IT group 84% (n = 16) received steroids, 26% (n = 5) plasmapheresis, 53% (n = 10) non-steroid immunosuppressants, 11% (n = 2) rituximab, and 53% (n = 10) IVIG. Six patients (32%) had one IT modality; 13 (68%) had 2 or 3. In the ChT group 10 patients (53%) had ASCT; 6 patients (31%) had CyBorD or Lenalidomide+Dexamethasone + ASCT; 3 patients (16%) had chemotherapy without ASCT. 10 patients in IT group had neurological improvement (NI): 53% overall response (OR) with 16% (n = 3) complete remission (CR), and 37% (n = 7) partial response (PR). No improvement/progression had 9 patients (47%). In 2 patients (10%), neurological CR was associated with resolution of MP. Mean time to best response was 19 months. In ChT group 18 patients achieved NI: 94.7% OR with CR in 73.7% (n = 14) and PR in 21.0% (n = 4). Only one patient had no response to therapy. The best NI correlated with resolution of MP. Mean time to best response was 10 months. Conclusions: Our study with the most extensive cohort of patients with SLOMN+MGUS supports ChT ± consolidative ASCT aimed at complete elimination of the malignant plasma cell clone as the preferred treatment. Superior clinical benefits of ChT suggest that the presence of MP has clinical rather than undetermined significance, and SLOAN + MP should be considered as a malignancy rather than dysimmunity.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.008
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.000
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 head0.108
GPT teacher head0.406
Teacher spread0.298 · 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 designCase report
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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Citations0
Published2020
Admission routes1
Has abstractyes

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