Body composition in long‐term survivors of acute lymphoblastic leukemia diagnosed in childhood and adolescence: A focus on sarcopenic obesity
Bibliographic record
Abstract
BACKGROUND The late effects of treatment for acute lymphoblastic leukemia (ALL) include disordered body composition, especially obesity. Less attention has been focused on the loss of skeletal muscle mass (SMM) and the combined morbidity of sarcopenic obesity. METHODS A cross‐sectional study of body composition was undertaken via dual‐energy x‐ray absorptiometry in 75 long‐term survivors of ALL (more than 10 years after the diagnosis). Measures were obtained of the fat mass (FM), fat‐free mass (equivalent to the lean body mass [LBM]), and whole‐body bone mineral content. Health‐related quality of life (HRQL) was measured with the Health Utilities Index. RESULTS The sum of the FM, LBM, and whole‐body bone mineral content matched the total body weight measured directly ( r = 0.998). The appendicular lean mass (ALM) was derived from the LBM in all 4 limbs and accounted for approximately 75% of the SMM. According to the fat mass index (FMI; ie, FM/height 2 ), 12% of females and 18% of males were frankly obese by World Health Organization criteria. The median FMI z score was + 0.40, whereas the median z score for the appendicular lean mass index (ALMI; ie, ALM/height 2 ) was –0.40. Sarcopenic obesity, defined as a positive FMI z score with a negative ALMI z score, was present in 32 subjects (43%). There were statistically significant and clinically important differences in overall HRQL between subjects with and without sarcopenic obesity. CONCLUSIONS Sarcopenic obesity is prevalent in long‐term survivors of ALL, and this places them in double jeopardy from excess body fat and inadequate SMM (eg, a combination of metabolic and frailty syndromes). It is associated with an adverse impact on overall HRQL. Cancer 2018;124:1225‐31 . © 2017 American Cancer Society .
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".