Clinical and molecular features of disseminated pediatric low-grade glioma and glioneuronal tumors: a systematic review and survival analysis
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
Background: Disseminated pediatric low-grade gliomas and glioneuronal tumors (dpLGG/GNTs) are associated with a poorer prognosis than nondisseminated pLGG/GNTs. To date there is no comprehensive report characterizing the genome profile of dpLGG/GNTs and their relative survival. This systematic review aims to identify the pattern of genetic alterations and long-term outcomes described for dpLGG/GNT. Methods: A systematic review of the literature was performed to identify relevant articles. A quality and risk of bias assessment of articles was done using the GRADE framework and ROBINS-I tool, respectively. Results: fusion (55%). BRAF p.V600E mutation was found in 7% of subjects. A higher proportion of subjects demonstrated primary dissemination compared to secondary dissemination (65% vs 25%). First-line chemotherapy consisted of an alkylation-based regimen and vinca alkaloids. Surgical intervention ranged from biopsy alone (59%) to surgical resection (41%) and CSF diversion (28%). Overall, 73% of cases were alive at last follow-up. Survival did not vary by tumor type or timing of dissemination. All studies reviewed either ranked low or moderate for both quality and risk of bias assessments. Conclusions: fusion were the most common alterations identified in dpLGG/GNT cases reviewed. The relative molecular heterogeneity between DLGG and DLGNT, however, deserves further exploration and ultimately correlation with their biologic behavior to better understand the pathogenesis of dpLGG/GNT.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.007 | 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 | 0.000 |
| Research integrity | 0.000 | 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