Serum Nerve Growth Factor as a Biomarker for Chemotherapy-Induced Peripheral Neuropathy: A Cross-Sectional Study
Bibliographic record
Abstract
Background: Chemotherapy-induced peripheral neuropathy (CIPN) is a common and debilitating side effect of cancer treatment. Nerve growth factor (NGF) plays a crucial role in neuronal health and has been implicated in CIPN development. This study investigated the relationship between serum NGF levels and CIPN in cancer patients undergoing chemotherapy. Methods: A cross-sectional study was conducted on 60 cancer patients receiving chemotherapy at Dr. M. Djamil General Hospital Padang, Indonesia, from June to October 2024. Serum NGF levels were measured, and CIPN was assessed using the Toronto Clinical Scoring System (TCSS). The relationship between NGF and CIPN was analyzed using the Mann-Whitney test. Results: The median serum NGF level was significantly lower in patients with CIPN (n=43) compared to those without CIPN (n=17) (103.26 pg/ml vs. 148.91 pg/ml, p=0.029). No significant association was found between chemotherapy regimens and CIPN or NGF levels. Conclusion: Lower serum NGF levels are associated with CIPN in cancer patients undergoing chemotherapy. NGF may serve as a potential biomarker for CIPN, aiding in early detection and management. Further research is needed to explore the clinical utility of NGF as a predictive and monitoring tool for CIPN.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".