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Record W4366084089 · doi:10.1002/pbc.30355

Disparities in care of pediatric, adolescent, and young adult patients with solid tumors: A systematic review

2023· review· en· W4366084089 on OpenAlexaff
Bailey Roberts, Jo Cooke‐Barber, Martha-Conley E. Ingram, Melissa E. Danko, Maeve O’Neill Trudeau, Richard D. Glick, Scott S. Short, Daniel J. Robertson, Mehul V. Raval, Roshni Dasgupta, Barrie S. Rich

Bibliographic record

VenuePediatric Blood & Cancer · 2023
Typereview
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsMcGill University Health CentreMontreal Children's Hospital
Fundersnot available
KeywordsMedicineSocioeconomic statusEthnic groupMEDLINEScopusCochrane LibraryHealth equitySystematic reviewPediatric cancerGerontologySocial classPediatricsFamily medicineCancerMeta-analysisPopulationPathologyPublic healthInternal medicineEnvironmental health

Abstract

fetched live from OpenAlex

BACKGROUND: Numerous studies have demonstrated a variety of social inequalities within pediatric and young adult patients with solid tumors. This systematic review examines and consolidates the existing literature regarding disparities in pediatric and young adult solid tumor oncology. PROCEDURE: A MeSH search was performed on the following databases: MEDLINE, PubMed, OvidSP Cochrane, Central, Embase, Cinhal, and Scopus. The systematic review was performed using Rayyan QCRI. RESULTS: Total 387 articles were found on the initial search, and 34 articles were included in final review. Twenty-seven studies addressed racial and ethnic disparities; 23 addressed socioeconomic disparities. Patients with Hispanic ethnicity, Black race, and lower socioeconomic status were more likely to present at later stages, have differences in treatments and higher mortality rates. CONCLUSION: This qualitative systematic review identified both racial and socioeconomic disparities in pediatric cancer patients across a variety of solid tumor types. Patients with Hispanic ethnicity, Black race, and lower socioeconomic status are associated with disparities in stage at presentation, treatment, and outcome. Characterization of existing disparities provides the evidence necessary to support changes at a systemic level.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.112
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0070.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.027
GPT teacher head0.329
Teacher spread0.303 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations16
Published2023
Admission routes1
Has abstractyes

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