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Adherence to guideline-recommended cardiac screening in Medicaid-enrolled survivors of childhood cancer: A report from the Childhood Cancer Survivor Study (CCSS).

2024· article· en· W4402987536 on OpenAlexaff
Xin Hu, Sharon M. Castellino, Deo Kumar Srivastava, Paul C. Nathan, Gregory T. Armstrong, Ann C. Mertens, Anne C. Kirchhoff, Xu Ji

Bibliographic record

VenueJCO Oncology Practice · 2024
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsChildhood cancerMedicineGuidelineMedicaidCancer survivorCancerFamily medicineInternal medicineHealth carePathology

Abstract

fetched live from OpenAlex

56 Background: Childhood cancer survivors face increased risks of heart failure and myocardial dysfunction associated with cancer treatment exposure. Children’s Oncology Group (COG) guidelines recommend periodic cardiac screening for survivors exposed to anthracycline or radiation. However, the extent of adherence to cardiac screening among Medicaid-enrolled survivors—a group typically characterized by socioeconomic disadvantages—remains unclear. Additionally, as Medicaid expansion under the Affordable Care Act has occurred in most, but not all states, cardiac screening adherence may vary based on survivors' state of residence. Methods: Data from the CCSS were linked to administrative Medicaid insurance claims from 2015 to 2019. We included at-risk survivors (i.e., received radiation to chest or heart, total body irradiation, and/or anthracyclines), aged 18-64 years, continuously covered by Medicaid during 2015-2019, and without a history of grade 3-4 cardiovascular conditions by 2019 to ensure the identified cardiac tests were for screening purposes. Our primary outcome assessed adherence to COG guidelines (V4.0) based on age- and therapy dose-specific frequency of cardiac testing (i.e., echocardiogram, multigated acquisition scan, or magnetic resonance imaging) during the study period. Multivariable logistic models assessed sociodemographic, clinical, and policy-related factors associated with adherence, with adjusted probability differences (i.e., marginal effects [MEs]) reported. Results: We identified 1,062 survivors at risk of cardiovascular conditions, with 57.0% female, 52.8% young adults (ages 18-39 years), and 72.8% non-Hispanic White. During 2015-2019, 285 (26.8%) survivors received any cardiac test, and 102 (9.6%) adhered to COG guideline-based frequency of cardiac testing. In multivariable models, survivors residing in states that expanded Medicaid in 2014 and later has 4.3 percentage points (ppts, 95% CI=0.58.1, p =0.025) and 6.1 ppts (95% CI=0.611.6, p =0.031) increased likelihood of adhering to guideline-based frequency of cardiac testing respectively compared to states that did not. Compared to leukemia survivors, the likelihood of adhering to guideline-based frequency of cardiac testing was higher in survivors of central nervous system tumors (ME=7.6 ppt, 95% CI=2.712.6, p =0.002), Hodgkin lymphoma (ME=10.7 ppt, 95% CI=1.320.1, p =0.026), and non-Hodgkin lymphoma (ME=9.4, 95% CI=1.017.8, p =0.028). Conclusions: Adherence to risk-based cardiac testing is low among Medicaid-enrolled survivors of childhood cancer, and associated with residence in a Medicaid expansion state and cancer type. Policy reforms toward improving affordable, continuous health insurance coverage are important means to increase adherence to guideline-based cardiac tests among survivors.

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 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)0.011
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.288
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.056
GPT teacher head0.434
Teacher spread0.379 · 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 teacher head, not a consensus.

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

Citations2
Published2024
Admission routes1
Has abstractyes

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