NURS-18. GERMINOMA PATIENTS – MORE PRONE TO PSYCHIATRIC DISORDERS, ALLERGIES, AND WEIGHT PROBLEMS? AN INSTITUTIONAL REVIEW
Bibliographic record
Abstract
Abstract BACKGROUND Germinoma are the most frequent type of intracranial germ cell tumour. Within nursing clinical practice an increased prevalence of psychiatric manifestations, allergies, and weight gain throughout treatment and into survivorship within the germinoma population has been observed. There is only limited literature about these problems available. METHODS A retrospective review of clinical presentation, psychiatric co-morbidity, therapeutic course, and follow-up of 27 Germinoma patients (6.2-17 years) diagnosed and treated at a tertiary care center from 2008-2021 was performed. In addition, the presence and occurrence of allergies and weight changes throughout their therapy was reviewed. RESULTS Nearly half of the Germinoma patients (n=11) (suprasellar, pineal, basal ganglia) were diagnosed with pre-existing psychiatric co-morbidity (anxiety, depression, mood disorder and eating disorder) as per DSM-5 criteria, more commonly verified after their brain tumour diagnosis and persistent beyond treatment. Three of 27 (11%) patients indicated allergies (medication, food) at diagnosis. Seventeen of the 27 (63%) patients presented with allergies throughout their therapy (medication, tape, cleaning products, blood products). Six (35%) of those patients developed anaphylactic reaction to Etoposide and/or blood products. Eight of the patients (suprasellar & pineal) were found to have a significant weight gain throughout their treatment and two (pineal & suprasellar) were found to have significant weight loss, the rest of the cohort remained stable. The impact of tumour location (suprasellar, pineal) on the specific problems is ongoing. CONCLUSION The findings of this retrospective review could guide clinical practice. The potential higher incidence of psychiatric disorders should prompt practitioners to upfront screening and throughout therapy to ensure adequate support. Allergy prevalence in pediatrics is variable but an allergy occurrence of 35% is elevated in comparison to the general population and therefore increased awareness of allergies within this population is important for the bedside nurse. Lastly, early involvement of dieticians to aid in weight management seems crucial.
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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 | 0.005 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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".