Risk and impact of pulmonary complications in survivors of childhood cancer: A report from the Childhood Cancer Survivor Study
Bibliographic record
Abstract
BACKGROUND: Pulmonary complications after cancer therapy are varied. This study describes pulmonary outcomes among childhood cancer survivors and evaluates their impact on daily activities. METHODS: The incidence of pulmonary outcomes (asthma, chronic cough, emphysema, lung fibrosis, oxygen need, and recurrent pneumonia) reported among 5-year cancer survivors (n = 14,316) and the incidence of death due to pulmonary causes among all eligible survivors (n = 20,690) in the Childhood Cancer Survivor Study were compared with those for sibling controls (n = 4027) with cumulative incidence, standardized mortality ratio (SMR), and piecewise exponential models. Logistic regression with random effects was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for activity limitations with pulmonary complications. RESULTS: By the age of 45 years, the cumulative incidence of any pulmonary condition was 29.6% (95% CI, 29.1%-30.0%) for cancer survivors and 26.5% (95% CI, 24.9%-28.0%) for siblings. Fewer survivors reported ever smoking (23.6% vs 36.4%, P < .001), but survivors were more likely to report chronic cough (rate ratio [RR], 1.6; 95% CI, 1.4-1.9), oxygen need (RR, 1.8; 95% CI, 1.5-2.2), lung fibrosis (RR, 3.5; 95% CI, 2.3-5.4), and recurrent pneumonia (RR, 2.0; 95% CI, 1.4-3.0). The SMR for death due to pulmonary causes was 5.9 (95% CI, 4.2-8.1), and it was associated with platinum exposure and lung radiation (P < .01). The impact of chronic cough on daily activities for survivors (OR vs survivors without chronic cough, 2.7) was greater than that for siblings (OR, 2.0; P = .04). CONCLUSIONS: Pulmonary complications are substantial among adult survivors of childhood cancer and can affect daily activities. Cancer 2016;122:3687-96. © 2016 American Cancer Society.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".