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Impact of transfusion burden on health-related quality of life (HRQOL) and functioning in patients (pts) with myelofibrosis (MF): Post hoc analysis of SIMPLIFY-1 (S1) and -2 (S2).

2023· article· en· W4379335961 on OpenAlexaff
Ruben A. Mesa, Francesca Palandri, Srđan Verstovšek, Lucia Masárová, Claire Harrison, Flora Mazerolle, Boris Gorsh, Manal M’Hari, Zhaohui Wang, Catherine Ellis, Samineh Deheshi, Jun Kawashima, Robyn von Maltzahn, Antoine Regnault

Bibliographic record

VenueJournal of Clinical Oncology · 2023
Typearticle
Languageen
FieldMedicine
TopicMyeloproliferative Neoplasms: Diagnosis and Treatment
Canadian institutionsSierra Wireless (Canada)
FundersGlaxoSmithKline
KeywordsMedicineQuality of life (healthcare)Post-hoc analysisRuxolitinibAnemiaPopulationMyelofibrosisHealth related quality of lifeInternal medicineBone marrow

Abstract

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7066 Background: MF is associated with substantial symptom burden that can negatively impact pt quality of life (QOL). Transfusions may reduce anemia-associated symptoms, but can be burdensome and carry complications that may affect social, emotional, and general health; thus, QOL may be further negatively affected in transfusion-dependent (TD) pts. To characterize the relationship between transfusion burden and pt-reported outcomes (PROs), we report an exploratory post hoc analysis of the phase 3 S1 and S2 trials of the JAK1/JAK2/ACVR1 inhibitor momelotinib (MMB) in pts with MF. Methods: The pooled analysis set comprised both arms of the intent-to-treat populations of S1 (JAK inhibitor naive, MMB vs ruxolitinib [RUX]; N = 432) and S2 (JAK inhibitor exposed, MMB vs best available therapy [88% RUX]; N = 156). Transfusion independent (TI): no transfusions and hemoglobin (Hb) ≥8 g/dL in 12 wk; TD: ≥4 units transfused or Hb < 8 g/dL in 8 wk; transfusion requiring (TR): not meeting TI or TD criteria. PRO assessment: SF-36v2 (physical functioning [PF], role-physical [RP], general health [GH], vitality [VT], social functioning [SF], and mental health [MH] domains; norm-based scores [NBS] range from 11.6 to 70.4 based on domain). PROs by transfusion status were described over the 24-wk randomized period. Results: SF-36v2 NBS were available from 503/588 pts in the pooled analysis set at baseline (BL); mean NBS in all domains were lower than the general population mean per the SF-36v2 Manual (50; SD, 10): PF, 39.6; RP, 39.0; GH, 39.8; VT, 43.6; SF, 43.2; MH, 46.3. Within the pooled analysis set, mean NBS in all domains at BL and week 24 (W24) were lower in TD vs TI pts. Among BL TD pts (n = 150) at W24, 75 remained TD (TD-TD), 40 became TI (TD-TI), 21 became TR, and 14 had no data. Pts who became TI experienced greater improvement (positive mean change from BL) in most domains vs pts who remained TD (Table). Conclusions: Among pts with MF in S1 and S2, TD pts had lower functioning and HRQOL than TI pts across SF-36v2 domains, suggesting that transfusion dependence has detrimental effects on multiple aspects of QOL. Among BL TD pts, those who became TI at W24 had greater improvement across most domains than those who remained TD, with mean changes for TD-TI pts near or above the minimally important difference (2 or 3, based on domain) for groups with low BL NBS. These analyses highlight transfusion dependence as a key pt-centered outcome and support further research into the impact of transfusions on QOL in MF. Clinical trial information: NCT01969838 ; NCT02101268 . [Table: see text]

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)0.009
metaresearch head score (Gemma)0.007
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.007
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0040.019
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
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 head0.094
GPT teacher head0.453
Teacher spread0.359 · 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

Citations10
Published2023
Admission routes1
Has abstractyes

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