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Record W4414167802 · doi:10.1080/14796694.2025.2550930

Plain language summary of a systematic review of palbociclib treatment for advanced/ metastatic breast cancer in older patients

2025· article· en· W4414167802 on OpenAlexaff
Étienne Brain, Connie Chen, Sofia Simon, Vinay Pasupuleti, Kathleen Vieira Pfitzer, Karen A. Gelmon

Bibliographic record

VenueFuture Oncology · 2025
Typearticle
Languageen
FieldMedicine
TopicAdvanced Breast Cancer Therapies
Canadian institutionsSpinal Cord Injury BCUniversity of British ColumbiaBC Cancer Agency
FundersIncyteSeagenGilead SciencesPfizerAstraZenecaEli Lilly and Company
KeywordsPalbociclibMetastatic breast cancerPlain languageBreast cancerMEDLINE

Abstract

fetched live from OpenAlex

Plain Language SummaryWhat is this summary about?This plain language summary is about a systematic review of articles that reported on palbociclib treatment in older patients with breast cancer who were diagnosed with a type of advanced or metastatic breast cancer called hormone receptor-positive/ human epidermal growth factor receptor 2-negative (HR+/HER2−). The patients were treated with the oral anticancer medicine, palbociclib, in combination with endocrine therapy. All of the studies included data for older populations, defined as patients aged 65 years and older (except for one study which defined the older population as patients over the age of 60). The researchers wanted to see if palbociclib plus endocrine therapy was as effective and safe for older patients with HR+/HER2− advanced/metastatic breast cancer as it was for younger patients, and if their health-related quality of life was preserved as well.What were the key findings of the systematic review?A total of 52 articles were summarized in the review: 13 articles reported on 7 different randomized clinical trials that included 437 older patients who received palbociclib plus endocrine therapy. The other 39 articles reported on 37 different real-world studies that included 7408 older patients treated with palbociclib plus endocrine therapy.In studies that compared how well palbociclib works in older and younger patients, palbociclib plus endocrine therapy showed similar benefits in both age groups. These benefits included how long a person is alive after the start of palbociclib combination treatment without their cancer getting worse (also called progression-free survival), how long a person is alive after the start of treatment (also called overall survival), and how many people had tumors that were no longer detectable or became smaller or did not grow (also called tumor response rate and clinical benefit rate). The studies that described safety and health-related quality of life as reported by the patients showed that palbociclib plus endocrine therapy was well tolerated and maintained health-related quality of life in both older and younger patients. These study findings were the same in both the clinical trials and the real-world studies.What do the findings of the systematic review mean?This systematic review is the most thorough summary to date on the use of palbociclib plus endocrine therapy to treat HR+/HER2− advanced/metastatic breast cancer in older patients. The systematic review summarizes the findings of 52 articles that provide evidence that palbociclib in combination with endocrine therapy is an effective and well tolerated treatment and preserves health-related quality of life in older patients with HR+/HER2− advanced/metastatic breast cancer. Consistent palbociclib treatment benefits were seen in both older and younger patients in clinical trials and real-world studies, lending further support for the use of palbociclib in combination with endocrine therapy in older patients with HR+/HER2− advanced/metastatic breast cancer.This is an abstract of the Plain Language Summary of Publication article.View the full Plain Language Summary PDF of this article to read the 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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.723
Threshold uncertainty score0.530

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.010
GPT teacher head0.358
Teacher spread0.348 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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