Glucocorticoid-Induced Hyperglycemia Is Prevalent and Unpredictable for Patients Undergoing Cancer Therapy: An Observational Cohort Study
Bibliographic record
Abstract
BACKGROUND: Patients with cancer are often treated with glucocorticoids (gcs) as part of therapy, which may cause hyperglycemia. We sought to define the prevalence of, and risk factors for, hyperglycemia in this setting. METHODS: Adult patients taking gc as part of therapy protocols for primary brain tumour or metastasis, for lymphoma, or for bone marrow transplant (bmt) were screened with random glucometer measurements taken at least 3 hours after the last dose gcs. RESULTS: We screened 90 patients [44.4% women, 55.6% men; mean age: 59.6 years (range: 25-82 years); mean body mass index (bmi): 26.4 kg/m(2) (range: 15.8-45.3 kg/m(2))] receiving gc as part of cancer treatment. Mean total daily gc dose in the group was 238.5 mg (range: 30-1067 mg) hydrocortisone equivalents. Hyperglycemia (glucose ≥ 8.0 mmol/L) was found in 58.9% (53 of 90), and diabetes mellitus (dm)-range hyperglycemia (glucose ≥ 11.1 mmol/L) in 18.9% (17 of 90). The mean time from gc ingestion to glucometer testing was 5.5 hours (range: 3-20 hours). Presence of hyperglycemia did not correlate with traditional dm risk factors such as age, sex, bmi, and personal or family history of dm. A longer interval from gc dose to testing (p < 0.05), a higher gc dose (p = 0.04), and a shorter interval between the preceding meal and testing (p = 0.02) were risk factors for hyperglycemia in some patient groups. CONCLUSIONS: Glucocorticoid-induced hyperglycemia is common in patients undergoing cancer treatment and cannot be predicted by traditional risk factors for dm. We recommend that all cancer patients receiving gc be screened for hyperglycemia at least 4-6 hours after gc administration.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 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".