Onkologine liga sergančių, bei patiriančių skausmą pacientų slaugos aspektai
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
SUMMARY\n\n\nAIM OF THE STUDY.\nTo evaluate the needs of medical care and the quality of care in cancer patients, experiencing pain.\n\nMETHODS.\nOne hundred cancer patients experiencing pain were interviewed in Kaunas Medical university Oncology hospital and Oncology department of Kaunas Medical university hospital (KMUH).. Age range- 27-68 years. Two questionnaires were used for the interview: “Pain anamnesis” and “McGill’s pain questionnaire”- specific questionnaire of pain-words.\n\nRESULTS.\nThe results of questionnaires were analyzed. Men more often than women experienced chronic pain (17% and 48 %). There was statistically positive correlation between the strongest pain in 24 hours and weakest pain in 24 hours experience.\nWhile analyzing adverse reactions of various treatment methods in the respondents treated in KMUH Oncology department and KMU Oncology hospital the anorexia (p ≤ 0,05), constipation and insomnia were more common in KMUH (p ≤ 0,05).\nThe quality of care according to 58% of Patients in KMUH and 34% in KMU OH was not sufficient (p ≤ 0,05). About 12% of KMUH patients and 46% in KMU OH declared that the quality of care is worse during the weekends. (p ≤ 0,05)\n\nCONCLUSIONS.\nA lot of adverse reactions appear while treating cancer patients with pain. One can decrease or even eliminate these reactions by purposeful care activities and providing information needed.\nIncreasing the quality of care, the evaluation of received care by cancer pain patients will become better.\n... [to full text]
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.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.006 | 0.010 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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 it