Long-Term Toxicities among Wilms Tumor Survivors
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Successive trials conducted by the National Wilms Tumor Study have resulted in very high cure rates for children with Wilms tumor (WT). These trials have also significantly reduced the indications for doxorubicin and higher doses of RT in WT. Late toxicities after multimodality treatment especially RT, continues to be a major problem among WT survivors. Higher doses of RT is the most important factor responsible for the many late effects including congestive heart failure, secondary malignant neoplasms, hypogonadism, infertility and pregnancy complications, pulmonary disease, musculoskeletal effects, renal failure and diabetes mellitus. The potential for novel RT techniques like IMRT and proton therapy to reduce the incidence of these toxicities is discussed. The surveillance recommendations for WT survivors are mainly derived from the COG long-term follow-up guidelines. The future directions in late effects research include novel research to improve current knowledge of association between RT doses to target organs and late effects, discovery of novel biomarkers, and identification of predictive genetic biomarkers. Despite all these advances, there are significant challenges facing the global health care community that need to be overcome before the benefits of these innovations in late effects research can be translated to individual cancer 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.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 it