A Case Report of Water Intoxication During Radioactive Iodine Treatment: Why Physicians Should Communicate Clearly With Patients
Bibliographic record
Abstract
Radioactive iodine (RAI) treatment is an effective method for the treatment of thyroid remnant ablation and metastasis in patients with differentiated thyroid cancer. The current guidelines recommend patients to drink lots of water to reduce the amount of iodine in the body during RAI treatment; however, water intoxication is a life-threatening condition resulting from hyponatremia. This case report describes water intoxication during RAI treatment in a 55-year-old patient who was evaluated for the management of angio-invasive follicular thyroid cancer following a total thyroidectomy. Hyponatremia is an electrolyte imbalance commonly encountered in oncology practice and is usually defined as a serum sodium level of less than 135 mEq/L. Water intoxication is a rare phenomenon that occurs due to an excessive intake of water, especially when the volume of water intake exceeds the excretory capacity of the kidney. This case report has revealed that all relevant information and instructions including the consumption of water should be clearly and accurately communicated to patients. J Endocrinol Metab. 2020;10(3-4):101-105 doi: https://doi.org/10.14740/jem646
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.007 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".