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Record W4413015212 · doi:10.1016/j.bas.2025.104387

Treatment approaches for Multiple Myeloma vertebral column lesions – Results from an international survey distributed to the AO Spine Knowledge Forum Tumor

2025· article· en· W4413015212 on OpenAlex
Vanessa Hubertus, Emily J. Von Bronewski, Lucius S. Fekonja, A.M. Früh, C.J. Entenmann, Hannah Miller, Charlotte Buhre, Michael G. Fehlings, Ilya Laufer, Peter Vajkoczy, Julia Onken

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBrain and Spine · 2025
Typearticle
Languageen
FieldMedicine
TopicManagement of metastatic bone disease
Canadian institutionsToronto Western Hospital
FundersBerlin Institute of HealthAOSpineAO Foundation
KeywordsMultiple myelomaVertebral columnSPINE (molecular biology)MedicineColumn (typography)Computer scienceInternal medicineSurgeryBioinformaticsBiologyTelecommunications

Abstract

fetched live from OpenAlex

Introduction: Vertebral fractures and epidural compression are common complications in Multiple Myeloma (MM). Although non-surgical management is generally preferred, internationally accepted management guidelines are lacking. This study aimed to assess current international treatment approaches and clinical conditions guiding decision-making in MM vertebral lesions. Research question: Assessing international treatment standards for MM vertebral column lesions. Material and methods: A survey was distributed to members of the AO Spine Knowledge Forum Tumor, an expert forum specialized on the treatment of oncologic spine disease. The survey consisted of 25 questions, of which 15 assessed the participant's background, clinical expertise, and experienced treatment standards regarding MM vertebral lesions, followed by ten fictional case examples with seven possible treatment scenarios each. Results: 51 international experts completed the survey, 51 % being of orthopedic, and 44 % of neurosurgical background, while 5 % were radio-oncologists. 84 % of the participants stated they "see vertebral lesions in MM in general as a non-surgical disease". As strongest indicators to perform surgery, neurological deficits (74 %), and potentially unstable lesions (20 %) were chosen. Clinical and radiological follow-up is performed by 83 %, however only in 46 % at defined intervals. 89 % would choose "less invasive" surgical strategies in MM than in similar lesions related to metastatic spine disease. Discussion and conclusion: The participating experts agreed towards a more restrained and less invasive management of MM patients, however the applicability of surgical scores, standards for follow-up, and indications as well as surgical strategies for MM vertebral lesions varied widely, illustrating the need for international guidelines standardizing treatment.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.837
Threshold uncertainty score0.476

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.064
GPT teacher head0.333
Teacher spread0.269 · 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