MétaCan
Menu
Back to cohort

Abstract P5-12-03: Concurrent vs. Sequential Administration of Adjuvant Trastuzumab in Early Stage Breast Cancer: A Systematic Review and Meta-Analysis

2010· review· en· W2329129089 on OpenAlexaff
SM Lavasani, Ali Mahinbakht, Susheel Verma

Bibliographic record

VenueCancer Research · 2010
Typereview
Languageen
FieldMedicine
TopicHER2/EGFR in Cancer Research
Canadian institutionsSunnybrook Health Science Centre
Fundersnot available
KeywordsTrastuzumabMedicineOncologyBreast cancerMeta-analysisInternal medicineRandomized controlled trialStage (stratigraphy)AdjuvantClinical trialInclusion and exclusion criteriaCancerPathologyAlternative medicine

Abstract

fetched live from OpenAlex

Abstract Background: Overexpression/Amplification of the HER2 occurs in 15-18% of breast cancers. Adjuvant trastuzumab is now integrated in the care of most HER2-positive early stage breast cancers. However, an important question persists regarding the concurrent vs. sequential use of trastuzumab as adjuvant treatment in early stage breast cancer. A meta-analysis of randomized controlled trials (RCT) was undertaken to compare concurrent vs. sequential trastuzumab. The outcomes of interest were risk of recurrence, death and grade III and IV cardiac toxicity. Method: Systematic review of English literature retrieved from EMBASE (1980 to April 26, 2010), MEDLINE (1996 to April 26, 2010) and Cochrane database for the relevant studies. In addition, conference proceedings of ASCO and SABCS from 2004 to 2009 were searched for relevant abstracts. A manual search of the reference lists of the selected articles was performed in order to further identify relevant studies. The search strategy was conducted according to our well-defined inclusion and exclusion criteria. Our search strategy revealed 1262 citations. Only RCTs were included. The review was performed by 2 reviewers independently. The data analysis was conducted by Review Manager Version 5, which could not compare the number of recurrences and deaths head to head for concurrent vs. sequential trastuzumab. A Fixed effect model was used. When I square showed heterogeneity of >50%, sensitivity analysis was performed. Results: Six eligible trials were identified. Three RCTs used trastuzumab concurrently and 2 RCTs used trastuzumab sequentially. One RCT (NCCTG N9831) had 3 arms, chemo only control arm, sequential trastuzumab arm and concurrent trastuzumab arm. Pooled and sensitivity analysis of 4 RCTS comparing concurrent trastuzumab with chemotherapy showed total HR of 0.73 (P<0.00001) for reduction of recurrence and 0.78 (P=0.0006) for reducing the mortality. The pooled analysis of 3 RCTs comparing sequential trastuzumab with chemotherapy revealed total HR of 0.82 for reduction of recurrence (P<0.0001) and 0.93 for mortality (p=0.27). The cardiac toxicity in concurrent trastuzumab was in favour of control with risk ratio of 4.66 (P<0.00001) and in sequential treatment was also in favour of control with risk ratio of 9.90 (P<0.0001). Conclusion: Concurrent trastuzumab with chemotherapy shows a greater improvement in DFS (HR: 0.73 vs. 0.82). HR for OS also favours concurrent trastuzumab (0.78 vs. 0.93). Cardiac toxicity in both concurrent and sequential trastuzumab favours control arms. Citation Information: Cancer Res 2010;70(24 Suppl):Abstract nr P5-12-03.

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)0.023
metaresearch head score (Gemma)0.055
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (broad)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.973
Threshold uncertainty score0.123

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.055
Meta-epidemiology (narrow)0.0040.002
Meta-epidemiology (broad)0.0270.044
Bibliometrics0.0080.009
Science and technology studies0.0010.001
Scholarly communication0.0050.003
Open science0.0030.002
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.351
GPT teacher head0.549
Teacher spread0.198 · 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 designMeta-analysis
Domainnot available
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
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueCancer ResearchSame topicHER2/EGFR in Cancer ResearchFrench-language works237,207