MétaCan
Menu
Back to cohort
Record W3096017746 · doi:10.1182/blood-2020-139727

Patient Experiences with Liposomal Daunorubicin and Cytarabine (CPX-351) Versus Conventional Induction Regimens: An Analysis of Patient-Reported Outcomes Data from a Prospective Trial

2020· article· en· W3096017746 on OpenAlexaboutno aff
Thomas W. LeBlanc, Susan Morris, Michael A. Hooks, Susan C. Locke, Areej El‐Jawahri

Bibliographic record

VenueBlood · 2020
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineRandomized controlled trialInternal medicineQuality of life (healthcare)Hospital Anxiety and Depression ScaleCytarabineAnxietyPhysical therapyChemotherapyPsychiatry

Abstract

fetched live from OpenAlex

Background: CPX-351 (Vyxeos®; daunorubicin and cytarabine liposome for injection) is a treatment for adults with newly diagnosed AML with myelodysplasia-related changes or therapy-related AML. Intensive induction chemotherapy causes marked symptom burden, quality of life (QOL) impairment, and psychological distress, but data on the patient experience with CPX-351 are lacking. We aimed to compare the patient experience of physician-chosen CPX-351 to standard induction regimens using validated patient-reported outcome (PRO) measures collected prospectively in a randomized clinical trial. Methods: This was an exploratory analysis of a US, multi-site supportive care trial in AML (NCT02975869). PRO assessments were collected at baseline, 2 weeks later (when studies show patients feel their worst during a typical induction hospitalization), and then at 1, 3, and 6 months. PROs assessed the following patient experience domains: symptoms (Edmonton Symptom Assessment Scale [ESAS]), QOL (FACT-Leukemia and FACT-TOI), anxiety (HADS-A), depression (HADS-D), and post-traumatic stress (PTSD Checklist). All analyses were adjusted for baseline PROs, patient age, receipt of additional targeted therapy, and supportive care interventions. Analysis of covariance models were used to find adjusted 2-week PRO scores by treatment, and logistic regression models were used to find adjusted odds ratios (aOR) for dichotomous PROs at 2 weeks. Linear mixed effects models were used to estimate adjusted mean between-group differences in PROs across the 6-month study period (reported as B). Given the exploratory nature of this study, we defined a 2-sided P value of <0.20 as hypothesis-generating, consistent with standard approaches to exploratory analysis, and not to imply significance. Results: Across 4 sites, we enrolled 109 patients with newly diagnosed AML. Thirty-five (32%) received CPX-351 and 74 (68%) received a standard regimen (72 received 7+3, 1 received FLAG, and 1 received MEC). Baseline sociodemographic characteristics and PROs were similar across groups. Mean age was 67 years (SD: 6.8) in the CPX-351 group and 65.2 (SD: 8.9) in the standard group. Most patients were white (>90%) and partnered (>70%). At 2 weeks, those receiving CPX-351 had better PRO scores (adjusted means) for symptoms (ESAS total score: 25.89 vs 31.73; P = 0.11) and depression (HADS-D: 5.17 vs 7.0; P = 0.08); CPX-351 was favored on all other PROs, including quality of life (FACT-Leu: 118.02 vs 112.56; P = 0.44), anxiety (HADS-A: 4.51 vs 5.27; P = 0.465), and PTSD symptoms (PTSD-checklist: 27.08 vs 28.16; P = 0.6). At 2 weeks, patients receiving CPX-351 were less likely to have worsening ESAS total symptoms (45.7% vs 54.1%; aOR = 0.52; P = 0.172), physical symptoms (45.7% vs 63.5%; aOR = 0.41; P = 0.064), and clinically significant depression symptoms (27.3% vs 37.7%; aOR = 0.48; P = 0.159), but no difference in clinically significant anxiety symptoms (28.9% vs 30.3%; aOR = 0.62; P = 0.392). In longitudinal analyses, those receiving CPX-351 had better QOL (FACT-TOI: B = 6.41; P = 0.173), lower anxiety (B = −1.47; P = 0.153), less depression symptoms (B = −1.58; P = 0.09), and less leukemia symptoms (B = 3.67; P = 0.16), but no differences in total symptom burden (ESAS: B = −0.06; P = 0.988) or in PTSD symptoms (PTSD Checklist: B = 2.23; P = 0.354). While patients receiving CPX-351 had a longer index hospitalization length of stay compared to standard induction (mean of 44.3 vs 39 days; P = 0.072), they also had fewer hospitalizations during the 6-month follow-up period (2.82 vs 3.55; P = 0.158). Furthermore, the total number of days hospitalized after the index admission was lower for those receiving CPX-351 (17.71 vs 22.27 days; P = 0.199). Patients receiving CPX-351 had an average of 94.08 days alive and out of the hospital, while those receiving standard induction had 91.85 days (P = 0.849). Conclusions: This exploratory analysis supports the observation that patients receiving CPX-351 may have an overall better patient experience during induction treatment, as measured by validated PROs assessing symptoms, QOL, mood, and PTSD. Our ability to draw more definitive conclusions is limited by sample size and the fact that treatment with CPX-351 is only indicated for certain AML subtypes, resulting in a non-random allocation to treatment groups and potential differences in clinical outcomes. Disclosures Leblanc: AstraZeneca: Research Funding; Agios, AbbVie, and Bristol Myers Squibb/Celgene: Speakers Bureau; UpToDate: Patents & Royalties: Royalties; American Cancer Society, BMS, Duke University, NINR/NIH, Jazz Pharmaceuticals, Seattle Genetics: Research Funding; AbbVie, Agios, Amgen, AstraZeneca, CareVive, BMS/Celgene, Daiichi-Sankyo, Flatiron, Helsinn, Heron, Otsuka, Medtronic, Pfizer, Seattle Genetics, Welvie: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees. Morris:Jazz Pharmaceuticals: Current Employment, Current equity holder in publicly-traded company. Hooks:Jazz Pharmaceuticals: Current Employment, Current equity holder in publicly-traded company. El-Jawahri:Jazz Pharmaceuticals: Research Funding.

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)0.016
metaresearch head score (Gemma)0.014
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 score0.016
Threshold uncertainty score0.085

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.014
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.003
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.059
GPT teacher head0.320
Teacher spread0.261 · 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

Citations3
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueBloodSame topicAcute Myeloid Leukemia ResearchFrench-language works237,207