A systematic review of health-related quality of life outcomes in patients with advanced breast cancer treated with palbociclib
Bibliographic record
Abstract
Aim: To evaluate the impact of palbociclib treatment on health-related quality of life (HRQoL) in patients with hormone receptor-positive, human epidermal growth factor 2-negative advanced breast cancer (HR+/HER2- aBC) or metastatic breast cancer (mBC) in both the clinical and real-world setting. Materials & methods: A systematic literature review was conducted to identify clinical trials and real-world evidence studies up to June 2023 that reported HRQoL outcomes in patients with HR+/HER2- aBC or mBC treated with Palbociclib. Results: 15 unique studies reported across 35 records were identified. Of these, seven were randomized controlled trials (RCTs), three were single-arm clinical trials and five were real-world evidence (RWE) studies. HRQoL was generally found to be maintained in patients with HR+/HER2- aBC or mBC across RCTs, single-arm clinical trials and RWE studies. HRQoL measures across instruments, study types and line of therapy, were largely reported to be at least maintained if not improved from baseline among patients treated with palbociclib and were observed to be comparable or better in the palbociclib group versus monotherapy control arm in RCTs. Similar results were seen for treatment-related outcomes (e.g., sexual functioning, upset by hair loss, systemic therapy side effects etc.), and important individual patient outcomes, including pain, fatigue and physical functioning. Findings were also consistent across key clinical characteristics (visceral metastases, neutropenia), as well as patient populations often underrepresented in clinical trials (Asian patients, older adults). Conclusion: Overall, current evidence suggests that HRQoL is largely preserved with the addition of palbociclib to endocrine therapy in patients with HR+/HER2- aBC or mBC across study types and populations.
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 | 0.008 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.010 | 0.008 |
| Bibliometrics | 0.012 | 0.013 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".