Hubungan Jenis dan Siklus Kemoterapi dengan Derajat Neuropati pada Pasien Keganasan
Bibliographic record
Abstract
Abstract: Antineoplastic chemotherapy agents in cancer treatment can cause peripheral neuropathy. Antineoplastic agents associated with chemotherapy-induced peripheral neuropathy include platinum-based drugs (carboplatin, cisplatin and oxaliplatin) and taxane (paclitaxel and docetaxel). This study aimed to evaluate the relationship between the type and cycle of chemotherapy with the level of neuropathy in malignant patients at Prof. Dr. R. D. Kandou Hospital, Manado, in 2022. The results obtained 43 cancer patients aged 18-65 who underwent chemotherapy, especially drugs from the platinum group (81.4%) such as oxaliplatin (62.8%). The majority of cases were colorectal adenocarcinoma (63%). Using the Toronto Score, the majority of subjects experienced mild neuropathy (55.8%), followed by without neuropathy (32.5%) and moderate neuropathy (11.6%). Although there was an indication of a relationship between the type of chemotherapy and the severity of neuropathy, the results were not statistically significant (p=0.069). In conclusion, there is no relationship between the type and cycle of chemotherapy with the level of neuropathy in cancer patients. Keywords: neuropathy; chemotherapy cycles; types of chemotherapy Abstrak: Agen kemoterapi antineoplastik dalam pengobatan kanker dapat menyebabkan neuropati perifer. Agen antineoplastik terkait neuropati perifer yang diinduksi kemoterapi termasuk obat berbasis platinum (carboplatin, cisplatin dan oxaliplatin) dan taxane (paclitaxel dan docetaxel). Penelitian ini bertujuan untuk mengetahui hubungan jenis dan siklus kemoterapi dengan keparahan neuropati pada pasien keganasan di RSUP Prof. Dr. R. D. Kandou Manado pada tahun 2022. Hasil penelitian mendapatkan 43 pasien kanker berusia 18-65 tahun yang telah menjalani kemoterapi, khususnya obat berbasis platinum (81,4%) seperti oxaliplatin (62,8%). Jenis keganasan yang terbanyak ialah adenokarsinoma kolorektal (63%). Dengan menggunakan Skor Toronto, didapatkan mayoritas subjek mengalami neuropati ringan (55,9%) diikuti tanpa neuropati (32,5%) dan neuropati sedang (11,6%). Meski ada indikasi hubungan antara jenis kemoterapi dengan tingkat neuropati, hasilnya tidak bermakna secara statistik (p=0,069). Simpulan penelitian ini ialah tidak terdapat hubungan antara jenis dan siklus kemoterapi dengan tingkat neuropati pada pasien keganasan. Kata kunci: neuropati; siklus kemoterapi; jenis kemoterapi
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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 | 0.000 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".