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Record W4417017805 · doi:10.1182/blood-2025-132

Inadequate social support and household material hardship among children with pediatric acute lymphoblastic leukemia: A report from the Children's oncology group Trial AALL1731

2025· article· en· W4417017805 on OpenAlexaffabout
Paul Morgan, John A. Kairalla, Cindy Wang, Sunyu Kang, Sarah Alexander, Peter D. Cole, Iris Paltin, Rahela Aziz‐Bose, Colleen Kelly, Haley Newman, Daniel J. Zheng, Mignon L. Loh, Elizabeth A. Raetz, Stephen P. Hunger, Meenakshi Devidas, David T. Teachey, Rachel E. Rau, Sumit Gupta, Kira Bona, Puja J. Umaretiya

Bibliographic record

VenueBlood · 2025
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsSickKids Foundation
Fundersnot available
KeywordsPsychosocialPsychological interventionPovertySocial supportPediatric cancerDistressNeurocognitive

Abstract

fetched live from OpenAlex

Abstract Introduction: Parents of children with cancer living in poverty experience higher rates of psychological distress during childhood cancer treatment and existing psychosocial interventions have been less effective for this population. High parental distress predicts poor mental health for parents and children in survivorship and impairs cognitive bandwidth and executive function–key for decision-making and treatment adherence. Household material hardship ([HMH] food, housing, utility or transportation insecurity), a concrete poverty measure, is independently associated with 2 to 5 times the risk of severe psychological distress among parents of children with acute lymphoblastic leukemia (ALL). Identifying risk factors for HMH that may be modifiable with supportive care interventions is critical to improve disparities in parental distress. Social support—the perceived availability of emotional and tangible support from family, peers and the community—has been linked to better coping, lower psychological distress, and improved health-related outcomes in adult oncology. Its relationship to HMH in childhood cancer has not been explored. We conducted a secondary analysis of data from the Children's Oncology Group (COG) trial AALL1731, the first COG ALL trial to systematically collect parent-reported social determinants of health, examining the association between social support and HMH at start of ALL therapy. Methods: Children ages 1-9 with de novo NCI standard risk B-ALL, who spoke English, Spanish or French and enrolled on AALL1731 (NCT03914625) at a US or Canadian site from September 2020 to July 2024 could opt-in to a longitudinal, correlative “Household Material Hardship and Neurocognitive Late Effects” study. Parents/guardians of participants completed a 75-item survey at 4-timepoints: baseline (during Induction), start of maintenance, end of therapy, and 1-year post-therapy. This secondary, interim analysis explored the association between baseline parent-reported social support and baseline HMH. The primary exposure of interest was social support as measured by the validated 8-item Medical Outcomes Study Social Support Survey (mMOS-SSS)—which uses a Likert scale to query how often someone is available to help you in domains of emotional (e.g. turn to for suggestions about a personal problem) and concrete (e.g. prepare meals) supports—dichotomized as inadequate social support (mMOS-SSS <70) vs adequate (≥70). The primary outcome of HMH was defined as present (at least one of food, housing, utility or transportation insecurity) vs absent. Univariable and multivariable analyses adjusting for child race/ethnicity, age, sex, insurance, primary language, marital status, and parent education were performed. Results: A total of 1487 participants contributed data from 179 sites; of these 1067 (72%) had evaluable mMOS-SSS and HMH data to comprise the analytic cohort. Participants were mostly mothers (76%), married (79%), and preferred English as a primary language (81%). Half of patients (52%) were Non-Hispanic White, 25% Hispanic, and 7% Black; 330 (31%) reported inadequate social support. In unadjusted logistic regression, participants with inadequate social support had 4.1-times (95% CI 3.1, 5.4) higher odds of HMH at baseline. Upon adjustment, those with inadequate social support had 2.9-times (95% CI 2.1, 3.9) higher odds of HMH. Analyses of associations between baseline social support and longitudinal development of HMH and parent psychological distress are pending mature data. Conclusion: Inadequate social support at the start of ALL therapy is independently associated with the presence of HMH—a known risk factor for severe parent psychological distress during cancer treatment. These data identify social support as a potential target for interventions to improve parent and child well-being. Parents of children with ALL face substantial and prolonged psychosocial burdens due to financial, logistical, and emotional strain over the >2-year care trajectory. We will investigate whether adequate social support protects against financial toxicity (including the development of new HMH) and parent psychological distress during treatment once data mature. Future work will include partnering with parents and psychosocial providers to adapt existing models of social support interventions (individualized psychobehavioral interventions, peer-based interventions, and community-based interventions) for the pediatric oncology setting.

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)0.004
metaresearch head score (Gemma)0.006
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 score0.010
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0010.001
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 head0.015
GPT teacher head0.266
Teacher spread0.251 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

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