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Abstract P3-09-02: Optimal anti-emetic choice for breast cancer patients receiving anthracycline and cyclophosphamide-based chemotherapy - A systematic review and network meta-analysis of randomized controlled trials

2013· review· en· W2082645549 on OpenAlexaff
TL Ng, M. Clemons, Iryna Kuchuk, Joseph A. Roscoe, B Hutton

Bibliographic record

VenueCancer Research · 2013
Typereview
Languageen
FieldMedicine
TopicNausea and vomiting management
Canadian institutionsOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsMedicineVomitingNauseaAprepitantRegimenChemotherapy-induced nausea and vomitingCyclophosphamideBreast cancerAnthracyclineInternal medicineRandomized controlled trialChemotherapyOncologyPalonosetronMeta-analysisAntiemeticCancer

Abstract

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Abstract Background: International expert consensus groups such as ASCO (JCO 2011) and MASCC (Ann of Oncol. 2010) recommend that patients (pts) receiving anthracycline and cyclophosphamide-based chemotherapy (A&C-CT) regimens receive an anti-emetic combination of 5HT3 antagonist (day 1), NK1 receptor antagonist (day/s 1 or 1-3), and dexamethasone (days 1-3/4). Clinical experience would suggest that Total Control (no episodes of chemotherapy-induced nausea and vomiting [CINV] and no rescue anti-emetic use for 5 days after CT) is often not achieved. We therefore sought to use Network meta-analysis (NMA) to provide a quantitative summary of existing randomised controlled trials (RCTs) to identify the optimal anti-emetic regimen for these pts. Methods: A peer reviewed search of RCTs assessing combination anti-emetic regimens in breast cancer pts on A&C-CT was performed using Medline, Embase and Cochrane CENTRAL. No additional restriction criteria were employed. Two individuals independently screened citations and full text articles to identify eligible RCTs. Pt and study characteristics, as well as, outcome data were collected to ensure studies were sufficiently similar to include in the NMA. The primary outcome was Total Control of CINV (no nausea, no vomiting, and no rescue anti-emetics for 5 days). Secondary outcomes included Complete Response (no vomiting and no rescue medications for 5 days), No Vomiting and No Nausea in the acute (0-24 hrs) and delayed (24-120 hrs) periods, respectively. Results: From 962 citations identified, 152 were retained after abstract screening, and 20 retained after full-text screening. Trials were published from 1990 to 2012. There was limited reporting of pt characteristics and CINV outcomes beyond the first CT cycle. The majority of comparisons in the network of treatments were supported by only one RCT. The significant heterogeneity in anti-emetic regimens (n = 21) mandated combining treatment doses and durations to make NMA feasible. Six out of 20 studies reported Total Control, occurring in a mean proportion of 26.9% (23 - 65%) of pts. Complete Response was reported in 11/18 trials, occurring in a mean of 49.8% (31.2% - 79.3%) of pts. Conclusions: Clinical experience suggests that despite best practice recommendations, many pts do not achieve Total Control of CINV. In preparing for a NMA, we identified marked heterogeneity between trials. This included variability in study design, sample size, treatment agents, duration of agents used, and in reporting of pt characteristics and outcome measures. Given these limitations, despite the recommendations of consensus groups, we have yet been able to make any firm decision on the optimal anti-emetic regimen based on the evidence at this time. We will present findings from our NMA, which will try to account for these limitations. However, if anti-emetic care is to be improved future pragmatic RCTs that include both nausea and vomiting outcomes are clearly required. Citation Information: Cancer Res 2013;73(24 Suppl): Abstract nr P3-09-02.

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)0.034
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Meta-epidemiology (broad), Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.565
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0340.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0430.006
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.208
GPT teacher head0.493
Teacher spread0.285 · 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; both teacher heads agree on what is shown here.

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

Citations6
Published2013
Admission routes1
Has abstractyes

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