MétaCan
Menu
Back to cohort

Abstract P2-12-07: A review of clinical endpoints and use of quality-of-life outcomes in phase III metastatic breast cancer clinical trials

2012· review· en· W2330965451 on OpenAlexaff
Raman Tatla, Denis Landaverde, Carolina Ribeiro Victor, David Miles, Sumedha Verma

Bibliographic record

VenueCancer Research · 2012
Typereview
Languageen
FieldMedicine
TopicCancer Treatment and Pharmacology
Canadian institutionsUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicineClinical trialClinical endpointQuality of life (healthcare)Metastatic breast cancerBreast cancerInternal medicineCancerDiseaseOncologyPhases of clinical researchIntensive care medicineNursing

Abstract

fetched live from OpenAlex

Abstract Background: The management of metastatic breast cancer (MBC) is often considered to be palliative, with most interventions intended to relieve disease symptoms, minimize treatment effects and prolong patient survival. The impact of disease and treatment on a patient's functional abilities has led to the emphasis of incorporating quality of life (QoL) measures into clinical trials. The primary objective of this study is to evaluate phase III clinical trials in MBC, and assess the inclusion of QoL as an endpoint, in addition to conventional progression and survival endpoints. Methods: A structured PubMed search was conducted to identify phase III clinical trials published between Jan. 1990 and Aug. 2011, which evaluated systemic treatment in MBC patients. Data pertaining to treatment regimens, study endpoints and clinical findings were collected, with a particular focus on progression-based (PB), overall survival (OS), and QoL endpoints. The instrument(s) used in evaluating QoL were also noted (when applicable). Results: Of 520 publications identified, 122 phase III MBC clinical trials met the inclusion criteria. Of these studies, 98.4% and 95.9% included PB and OS respectively, as clinical endpoints, while QoL was assessed in only 46 (37.7%) studies. 14 instruments were identified as QoL measurement tools among these studies, with EORTC QLQ-C30 and FACT-B accounting for 54.7% of the instruments used. While the inclusion of QoL was not associated with the significance of PB results, there was an association between the inclusion of QoL and OS results, with 59% of significant OS studies and 32% of non-significant OS studies including QoL as a clinical endpoint (p = 0.016). When stratified by treatment arm, it was found that studies favouring standard therapy were more likely to include QoL (75%, p = 0.045), compared to those favouring the intervention (56%), and those without significant differences (32%). Conclusions: Although the importance of QoL is often emphasized in MBC management and treatment decisions, only one-third of identified phase III clinical trials included an assessment of QoL. About half of these trials showed no statistically significant differences in QoL endpoint; of note, instruments of varying validity were utilized. There needs to be greater emphasis on the evaluation of QoL, with the use of standard and validated QoL tools in MBC clinical trials, especially as we increasingly focus on progression-based endpoints. Citation Information: Cancer Res 2012;72(24 Suppl):Abstract nr P2-12-07.

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 imitation

Not 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.

metaresearch head score (Codex)0.065
metaresearch head score (Gemma)0.157
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.935
Threshold uncertainty score0.346

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0650.157
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0100.008
Bibliometrics0.0110.015
Science and technology studies0.0010.002
Scholarly communication0.0050.004
Open science0.0030.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.896
GPT teacher head0.764
Teacher spread0.133 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designSystematic review
DomainMethods
GenreReview

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
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueCancer ResearchSame topicCancer Treatment and PharmacologyFrench-language works237,207