Symptom Trajectories in Posttreatment Cancer Survivors
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
BACKGROUND: Cancer survivorship following cancer treatment is uncertain as physical and psychological sequelae related to the disease or its treatment may persist. However, little is known about the experience of symptoms after treatment. OBJECTIVES: The purposes of this study were to (1) examine postchemotherapy (post-CTX) symptom trajectories in cancer survivors and (2) determine whether demographic characteristics predicted symptom trajectories. METHODS: One hundred patients who recently completed CTX for lung cancer, colorectal cancer, or lymphoma rated symptoms on an electronic patient care monitor system prior to ambulatory care visits. Latent growth curve analyses were conducted to examine the trajectories of pain, fatigue, sleep disturbance, distress, and depression for 16 months after initial CTX. RESULTS: Symptoms were present at the first follow-up visit following CTX (P < .0001) and persisted over 16 months. The depression trajectory was predicted by sex: males showed a convex curvilinear growth trajectory, whereas females showed a concave trajectory (P < .05). Higher distress was predicted by younger age (P < .05). CONCLUSIONS: Psychological and physical symptoms persisted over the 16-month period following CTX for the entire sample. Sex differences in coping could partially explain the different trajectories of growth for depression, but further studies are warranted. Younger patients may be more vulnerable for distress during this posttreatment phase. IMPLICATIONS FOR PRACTICE: The posttreatment surveillance plan for cancer survivors should include a comprehensive assessment of psychological and physical symptoms. Persistence of symptoms can be expected in some patients, and supportive interventions should be tailored according to symptom reports.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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 it