ArticlePancreas2014
Should combination chemotherapy serve as the backbone in clinical trials of advanced pancreatic cancer? A pooled analysis of phase II trials of gemcitabine-containing doublets plus bevacizumab.
Article in Pancreas, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.
- Pooled it
- Treatment-related Hypertension as a Pharmacodynamic Biomarker for the Efficacy of Bevacizumab in Advanced Pancreas Cancer: A Pooled Analysis of 4 Prospective Trials of Gemcitabine-based Therapy With Bevacizumab.American journal of clinical oncology · 2016Trial
- A mixed treatment comparison of toxicity of gemcitabine combined with different targeted drugs in the treatment of advanced or metastatic pancreatic cancer.Cancer biology & therapy · 2018Article
- A Phase I Study of FOLFIRINOX Plus IPI-926, a Hedgehog Pathway Inhibitor, for Advanced Pancreatic Adenocarcinoma.Pancreas · 2016Article
- Meta-analyses of treatment standards for pancreatic cancer.Molecular and clinical oncology · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 6 institutions in 1 country.
Funding
Abstract
objectiveThe objective of this study was to evaluate whether building upon multidrug chemotherapy regimens represents a viable strategy in pancreatic cancer clinical trial design.
methodsWe performed a pooled analysis of all single-arm phase II studies in which a specific targeted agent (the anti-vascular endothelial growth factor monoclonal antibody bevacizumab) was added to gemcitabine-based cytotoxic doublets. The primary end point was overall survival (OS). Secondary end points included objective response rate, CA-19-9 biomarker response rate, and adverse event frequencies. Kaplan-Meier methods estimated time-to-event end points, whereas the Cox proportional hazard model estimated univariate hazard ratios of death.
resultsFor the 300 patients included in the pooled analysis, median OS was 9.1 months (95% confidence interval, 8.3-10.2). Differences in OS were observed according to patients' baseline performance status (median OS, 10.4 vs 8.6 months for Eastern Cooperative Oncology Group 0 vs 1, respectively). Moreover, bevacizumab-related adverse events were not observed at increased frequency with gemcitabine-based doublets compared with historic data.
conclusionsRecognizing the limitations of cross-study comparisons, these results compare favorably to those from Cancer and Leukemia Group B 80303, a phase III trial testing bevacizumab in combination with gemcitabine alone. This is the largest data set available to demonstrate the feasibility of building upon more intensive chemotherapy backbones in clinical trials of novel targeted agents in pancreatic cancer.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.