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Record W4281644083 · doi:10.1007/s40120-022-00366-4

Therapeutic Decision-Making Under Uncertainty in the Management of Spinal Muscular Atrophy: Results From DECISIONS-SMA Study

2022· article· en· W4281644083 on OpenAlex
Gustavo Saposnik, Ana Camacho, Paola Díaz-Abós, María Brañas-Pampillón, Victoria Sánchez-Menéndez, Rosana Cabello-Moruno, María Terzaghi, Jorge Mauriño, Ignacio Málaga

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

VenueNeurology and Therapy · 2022
Typearticle
Languageen
FieldMedicine
TopicNeurogenetic and Muscular Disorders Research
Canadian institutionsToronto Rehabilitation InstituteUniversity of TorontoSt. Michael's Hospital
FundersRoche
KeywordsSpinal muscular atrophySMA*MedicineNeurologyPhysical medicine and rehabilitationNeurosciencePhysical therapyPathologyPsychologyComputer scienceDiseasePsychiatry

Abstract

fetched live from OpenAlex

INTRODUCTION: There are many uncertainties about treatment selection and expectations regarding therapeutic goals and benefits in the new landscape of spinal muscular atrophy (SMA). Our aim was to assess treatment preferences and expectations of pediatric neurologists caring for patients with SMA. METHODS: DECISIONS-SMA is a non-interventional, cross-sectional pilot study that assessed pediatric neurologists with expertise in SMA from across Spain. Participants were presented with 11 simulated case scenarios of common encounters of patients with SMA type 1 and 2 to assess treatment initiation, escalation, or switches. We also asked for the expected benefit with new therapies for four simulated case scenarios. Participants completed a behavioral battery to address their tolerance to uncertainty and aversion to ambiguity. The primary outcome was therapeutic inertia (TI), defined as the number of simulated scenarios with lack of treatment initiation or escalation when warranted over the total (11) presented cases. RESULTS: A total of 35 participants completed the study. Participants' mean (SD) expectation for achieving an improvement by starting a new therapy for SMA type 1 (case 1, a 5-month-old) and SMA type 2 (case 6, a 1-year-old) were both 59.6% (± 21.8), but declined to 20.2% (± 12.2) for a case scenario of a 16-year-old treatment-naïve patient with long-standing SMA type 2 with severe disability. The mean (SD) TI score was 4.2 (1.7), and 3.29 (1.5) for treatment initiation. Of a total 385 individual responses, TI was observed in 147 (38.2%) of treatment choices. The multivariable analysis showed that lower aversion to ambiguity (p = 0.019) and lower expectation of treatment response (p = 0.007) were associated with higher TI after adjustment for participants' age and years of experience. Older age (p = 0.019), lower years of experience (p = 0.035), lower aversion to ambiguity (p = 0.015), and lower expectation of treatment benefits (p = 0.006) were associated with inertia for treatment initiation. CONCLUSIONS: Pediatric neurologists managing patients with SMA were optimistic regarding treatment improvement in cases with early diagnosis, but had lower expectations when treatment delays and advanced patient age were present. Low aversion to ambiguity, low expectation of treatment benefits, and lower clinical experience were more likely to make suboptimal decisions, resulting in lack of treatment initiation, escalation, and TI.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.922
Threshold uncertainty score0.340

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.043
GPT teacher head0.346
Teacher spread0.304 · 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