Relationship between serum VEGF level and clinical feature in children and adolescent with lymphoid malignancy
Bibliographic record
Abstract
Objective To investigate the relationship between serum-VEGF(sVEGF)and clinical features in children and adolescent patients with non-Hodgkin lymphoma(NHL) and acute lymphoblagtic leukemia(ALL).Methods The sVEGF in 101 of pretreated NHL and ALL patients were detected by enzymelinked inununosorbent assay(ELISA).The sVEGF prior and post-treatment were compared in 61 patients who achieved complete remission(CR).Results The median sVEGF was 567.70 ng/L in 81 prior-treated NHL patients.It was significantly higher than that in normal controls(P＜0.001).The median sVEGF wag 253.90 ng/L in 49 patients with CR,which was significantly different compared to pretherapeutic level(P＜0.001),whereag no statistical difference was observed compared to the normal controls. No relationships were found between sVEGF and clinical indexes such as clinical stage,Bsymptoms,gender,performance status(PS)score,bulk and serum lactate dehydrogenage (LDH)et al in untreated NHL patients.The median sVEGF was 198.60 ng/L in 20 untreated ALL patients.which wag no statistically different in comparison with that of normal controls.And the median sVEGF wag 181.73 ng/L in 12 of the CR ALL patients.which wag not statistically different in comparison with that in prior-treatment group or normal controls.Conclusion This study showed that the sVEGF in untreated children and adoleseent patients with NHL were higher than that of normal controls.The high sVEGF dmpped after achieving CR.There was no relationship between the level of sVEGF and clinical characteristics in the NHL patients.The sVEGF level in untreated ALL patients wag not difierent compared to that of the normal controls.and there was no change for sVEGF after chemotherapy in ALL patients. Key words: Serum vascular endothelial growth factor; Lymphoma,non-Hodgkin; Leukemia,lymphoblastic,acute; Children; Adolescent
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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 | 0.000 | 0.001 |
| 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 | 0.000 | 0.000 |
| 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".