Psycho-oncology Patients in a Tertiary Care Center: Descriptive Profile and Psychiatric Characteristics
Bibliographic record
Abstract
Context: Cancer’s effect transcends the physical; it influences the patient’s psychological and emotional well-being in various ways. Aims: This study describes the psychiatric characteristics of patients with cancer referred to the consultation-liaison psychiatry service at a tertiary care center in Beirut, Lebanon. It explores the field of psycho-oncology from the perspective of a developing country, highlighting key factors to be considered for the improved integration of psychiatric care into cancer treatment. Settings and Design: This is a retrospective record-review study based at a tertiary care center in Lebanon (American University of Beirut Medical Center). Subjects and Methods: Data came from a broader research project on consultation‐liaison at AUBMC, CLAUB. Psychopathology diagnoses were made according to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition. The sample included 147 patients diagnosed with cancer. Statistical Analysis Used: Chi-square tests, t -tests, and Fisher’s exact tests were used to assess for associations between sociodemographic and psychiatric characteristics, as well as for correlations between cancer characteristics and psychopathology. Results: The most common diagnoses were leukemia (19%), lymphoma (17.7%), and breast cancer (17%). Females were more likely to be prescribed antidepressants ( P = 0.006), whereas males were more likely to be prescribed sleep medications ( P = 0.012). Patients receiving palliative care were more likely to be diagnosed with a psychiatric disorder ( P = 0.022). Delirium was the most common diagnosis (27.9%), followed by depressive (19.7%) and adjustment (14.3%) disorders. Conclusions: Our data highlight the crucial role of consultation-liaison psychiatry services, particularly during the terminal stages of illness, and underscore the need for targeted and proactive psychiatric screening – especially among patients with leukemia, lymphoma, and breast cancer.
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 | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".