Comprehensive review of oncological emergencies seen in clinical practice
Bibliographic record
Abstract
Aim of the research To provide an up-to-date review of the literature on the pathophysiology, diagnosis, and management of common oncologic emergencies encountered in clinical practice. Material and methods We conducted a systematic computerised search in PubMed, Scopus, Web of Science, and Embase. Results We reviewed relevant medical literature. Most common complications requiring emergency management are addressed in this review, specifically: tumour lysis syndrome, seizures and status epilepticus, pulmonary embolism, leukostasis, thrombotic microangiopathy, febrile neutropaenia, disseminated intravascular coagulation, massive haemoptysis, diffuse alveolar haemorrhage, stem cell transplant-related complications, surgically related complications of malignancy, metastatic spinal cord metastasis, and superior vena cava syndrome. Conclusions Oncologic emergencies and related complications demand increased attention from attending physicians, oncologists, and intensivists. Knowledge of oncologic emergencies encountered in clinical practice expedites the ability of physicians to manage them properly. The identification and institution of proper management can improve outcomes in these patients.
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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 | 0.009 | 0.046 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.014 | 0.014 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".