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Record W4417016184 · doi:10.1182/blood-2025-710

Cumulative incidence of household material hardship and income loss as measures of financial toxicity during pediatric acute lymphoblastic leukemia (ALL) treatment: A report from the DFCI ALL 16-001 Trial

2025· article· en· W4417016184 on OpenAlexaffabout
Daniel J. Zheng, Yael Flamand, Rahela Aziz‐Bose, Victoria Koch, Peter D. Cole, Lisa Gennarini, Kelly Getz, Justine M. Kahn, Kristine Karvonen, Colleen Kelly, Kara M. Kelly, Bruno Michon, Haley Newman, Paul Morgan, Thai H. Tran, Puja J. Umaretiya, Jennifer Welch, Edie Weller, Lewis B. Silverman, Kira Bona

Bibliographic record

VenueBlood · 2025
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic and Financial Impacts of Cancer
Canadian institutionsCentre Hospitalier Universitaire Sainte-JustineCentre hospitalier universitaire de Québec
Fundersnot available
KeywordsContext (archaeology)Clinical endpointClinical trialCumulative incidenceIncidence (geometry)Pediatric cancerCancerHousehold income

Abstract

fetched live from OpenAlex

Abstract Introduction: Over 90% of children with acute lymphoblastic leukemia (ALL) will survive their cancer in the context of >2 years of multi-agent chemotherapy. This intensive treatment paradigm may lead to significant treatment-related financial toxicity for families— an outcome highly relevant to long-term child and family well-being. The magnitude and trajectories of financial toxicity are unknown in pediatric oncology, and necessary to inform optimal screening and intervention strategies for children with cancer and their families. Development of new household material hardship ([HMH], housing, food, or utility insecurity) or income loss during cancer treatment are concrete, targetable metrics of financial toxicity. We present results from Dana-Farber Cancer Institute (DFCI) ALL Consortium Trial 16-001, the first pediatric oncology clinical trial to systematically collect longitudinal HMH and household income data as an embedded correlative trial aim. Methods: DFCI 16-001 (NCT03020030) enrolled children ages 1-<22 years with de novoB- or T-cell ALL at 8 US and Canadian centers from 2017-2021. Participants <18 years were eligible to opt-in to the correlative HMH study at time of initial trial consent. Parents/guardians of participants completed surveys within 32-days of trial enrollment and longitudinally at 6-, 12-, and 24-months. Financial toxicity was the primary endpoint of interest for this secondary analysis, defined by two variables: (1) development of any new HMH domain (food, housing, or utility insecurity) at 6-24 months as compared to baseline and (2) catastrophic income loss defined as ≥25% annual household income loss at 6-24 months compared to baseline. Cumulative incidence of new HMH and catastrophic income loss in the presence of competing risks of coming off study (off-protocol therapy, death, relapse) were estimated using the Aalen-Johansen method. A subcohort analysis was conducted among participants who reported no HMH at baseline. Multivariable competing risk models evaluated the association of patient, household, and disease characteristics with risk of developing new HMH. Results: Among 422 participants (15% Hispanic and 7% non-Hispanic Black, 23% single-parent household, 40% annual household income <200% federal poverty level) with evaluable baseline survey data, 115 (27%) reported HMH at baseline. The cumulative incidence of any new HMH was 19.3% (95% CI: 15.9-23.5) at 6-months, 27.7% (95% CI: 23.8-32.4) at 12-months, and 30.0% (95% CI: 25.9-34.7) at 24-months. The cumulative incidence of catastrophic income loss was 20.3% (95% CI: 16.7-24.7) at 6-months, 28.6% (95% CI: 24.5-33.5) at 12-months, and 31.5% (95% CI: 27.2-36.5) at 24-months. Among the subcohort of 307 families with no baseline HMH, the cumulative incidences of any new HMH or catastrophic income loss at 24-months were 24.3% (95% CI: 19.9-29.6) and 27.9% (95% CI: 23.1-33.7), respectively. In multivariable modeling, children who identified as non-Hispanic Black (RR 3.5, 95% CI: 1.7-7.3), lived in a single-parent household (RR 2.1, 95% CI: 1.3-3.2), preferred a non-dominant language (i.e. non-English for US participants and non-English/French for Canadian participants, RR 2.1, 95% CI: 1.2-3.6), or had baseline household income <200% federal poverty level (RR 1.8, 95% CI: 1.1-2.9) were more likely to develop new HMH during treatment. Conclusion: Nearly a third of families of children receiving chemotherapy for ALL develop catastrophic financial toxicity during therapy including new unmet basic needs such as food insecurity, or ≥25% income loss. A majority experience this financial toxicity by 6-months into treatment, identifying a key inflection point for potential intervention. Importantly, nearly 1 in 4 families who had no HMH at the time of their child's diagnosis developed HMH during therapy. These findings stress the clinical importance of longitudinal financial screening over the course of cancer treatment, given the high prevalence of new material needs that arise and the potential to address these needs with family-centered interventions. Future work will assess the impact of early financial toxicity on clinical outcomes in this population and focus on the development of interventions to mitigate the profound financial toxicity impacting families during leukemia care.

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)0.012
metaresearch head score (Gemma)0.017
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.017
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
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 head0.032
GPT teacher head0.245
Teacher spread0.212 · 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".

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Citations1
Published2025
Admission routes2
Has abstractyes

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