Assessment of Biochemical Profile in Head and Neck Cancer Patients Receiving Concurrent Cisplatin Chemotherapy
Bibliographic record
Abstract
Electrolyte imbalance specifically hypomagnesaemia and hypocalcemia are known events in patients on chemo therapy. We studied thirty- one patients with head and neck cancer who underwent concurrent chemoradiation. Our study has shown that monitoring of calcium and magnesium are equally important and one needs to keep a close watch to avoid morbidity. Objectives: To study and follow the serum magnesium and calcium levels at onset, at different dosage levels of cisplatin and after completion of cisplatin therapy for head and neck cancer patients receiving concurrent radiation. Materials and Method: Serum Calcium and Magnesium levels for thirty-one patients receiving cisplatin based chemotherapy and concurrent radiation were studied. The range of radiation dose was from 56-66 GY/week/30 hrs and cisplatin dose was 40 mg/m2/week. The evaluation was carried out for six consecutive cycles. There was death of one patient during the study. Results: The results showed a reduction in serum calcium and magnesium levels over the treatment period (P = 0.005) with significant error being < 10^-8.
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.
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) | 0.000 | 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 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".