Different Qualities of the Subjective Pain Experience Among Patients With Cancer Attending Apeksha Hospital Maharagama
Bibliographic record
Abstract
Cancer pain is a complex and subjective experience that influences a variety of functions, comprising sensory, affective and cognitive components. It is well-known that pain is difficult to describe; patients often do not seem to find the appropriate words to do so. Meanwhile, Short-Form McGill Pain Questionaire-2 (SF MPQ-2) was proven to be a sensitive instrument in evaluating the quality of pain in patients with cancer and other chronic diseases. Aim of this study was to measure different qualities of the subjective pain experience among patients with cancer. A descriptive cross-sectional study was conducted at Apeksha Hospital, Maharagama among patients with all types of cancer-related pain of at least a month or longer duration. Consecutive sampling method was used to select 384 participants. Demographic and disease-related data were collected using pre-tested questionnaire and pain qualities and its intensity related data were obtained using a validated Sinhala version of SF MPQ-2; which comprises 22 pain quality word descriptors representing four subscales; continuous pain, intermittent pain, affective pain and neuropathic pain. Pain intensity was measured by 11 points Likert scale; (0 -10; no pain to worst pain). Descriptive analysis was done for demographic and pain severity data using SPSS version 23 for windows. The majority were females (n=231; 60.2%) and mean age of the participants was 56 years (SD ± 11.8), and a majority (n= 95; 24.7%) were having urogenital cancers. Highest mean pain score was reported for aching pain 6.1 (SD ± 3.2) and lowest for gnawing pain 0.73 (SD ± 1.9). Mean pain scores and SD± of the pain subscales were as follows; continuous 22.5(10.8), intermittent 8.1 (8.9), affective 11.1 (9.8) and neuropathic pain 13.9 (10.9). Proper assessment of different qualities of cancer pain is essential for better care, and SF MPQ-2 provides useful pain descriptors comprising sensory and affective domains.
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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".