A Structured Review of Studies on Health-Related Quality of Life and Economic Evaluation in Pediatric Acute Lymphoblastic Leukemia
Bibliographic record
Abstract
BACKGROUND: A comprehensive review was made of the literature on the health-related quality of life (HRQL) and economic outcomes of children with acute lymphoblastic leukemia (ALL), the most common of all cancers in childhood. OBJECTIVES: The primary objectives of the review were to locate and describe measures of HRQL used in pediatrics and in pediatric oncology that might be applicable to ALL, to summarize studies that have applied HRQL measures to ALL, to identify and summarize economic evaluations of the costs and consequences of care for pediatric ALL, and to identify areas requiring further research. DATA SOURCES: To identify the HRQL literature in pediatric ALL, searches were run on the major biomedical and social science bibliographic databases. Search terms included a variety of MeSH and other thesaurus terms, text words, names of HRQL instruments, and the names of key authors in the field. The economic literature searches included most of the same databases, with the addition of the National Health Service Economic Evaluation Database and EconLit. Searches on specific authors and instruments and hand searches were also conducted. STUDY SELECTION: Only English language studies published from 1975 through 2000 were included. DATA EXTRACTION: Standardized data extraction forms were used to abstract information from HRQL and economic evaluation studies. Two reviewers independently screened the search results, and differences were resolved by consensus. DATA SYNTHESIS: A number of generic HRQL measures, both adult and pediatric, have been applied in pediatric ALL. In addition, a number of pediatric oncology-specific instruments and pediatric oncology disease-specific instruments have been developed. Most of these instruments have been used to measure the health status of patients undergoing therapy. Despite the limited numbers of patients and resources available to assess HRQL measures in children with cancer, a fairly substantial body of literature has been published. Economic studies of pediatric ALL have only recently been undertaken. Most studies focus on a particular, narrow aspect of costs associated with the disease. There are relatively few cost-effectiveness studies that compare the costs and consequences of two or more treatment options. There are no published, comprehensive economic evaluations of pediatric ALL. CONCLUSIONS: HRQL measures provide not only important information on the improvements offered by new therapies but also an outcome measure for economic evaluations. Recently developed HRQL measures and applications that include the direct assessments of children are important contributions. By the age of 7 or 8 years, children can generally provide reliable responses. Furthermore, children often provide information that is not available from parental reports (e.g., in the more subjective areas of pain and emotion). However, the use of multiple viewpoints, such as the patient, parent, and health professional perspectives, can provide valid and important complementary information. Expertise in HRQL measurement should be included in the design of most future trials. Funds for HRQL research should be made available to enhance the scope of HRQL activities by organizations such as the Children's Oncology Group. In the near future, further work to generate evidence of validity for available HRQL measures for use in children with ALL will be a high priority. Continuation of inquiries into the methods for HRQL assessment of younger children (i.e., preschoolers) is also a priority.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.018 | 0.105 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.006 |
| Bibliometrics | 0.020 | 0.022 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".