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Dive into the research topics where Andrea Marshall is active.

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Featured researches published by Andrea Marshall.


Lancet Oncology | 2014

Docetaxel versus active symptom control for refractory oesophagogastric adenocarcinoma (COUGAR-02): an open-label, phase 3 randomised controlled trial

Hugo Ford; Andrea Marshall; John Bridgewater; Tobias Janowitz; Fareeda Y. Coxon; Jonathan Wadsley; Wasat Mansoor; D. Fyfe; Srinivasan Madhusudan; Gary Middleton; Daniel Swinson; Stephen Falk; Ian Chau; David Cunningham; Paula Kareclas; Natalie Cook; Jane M Blazeby; Janet A. Dunn

BACKGROUND Second-line chemotherapy for patients with oesophagogastric adenocarcinoma refractory to platinum and fluoropyrimidines has not shown benefits in health-related quality of life (HRQoL). We assessed whether the addition of docetaxel to active symptom control alone can improve survival and HRQoL for patients. METHODS For this open-labelled, multicentre trial, we recruited patients aged 18 years or older from 30 UK centres. Patients were eligible if they had an advanced, histologically confirmed adenocarcinoma of the oesophagus, oesophagogastric junction, or stomach that had progressed on or within 6 months of treatment with a platinum-fluoropyrimidine combination. Patients could have an Eastern Cooperative Oncology Group performance status of 0-2. We randomly assigned patients using a central, computerised minimisation procedure to receive docetaxel plus active symptom control, or active symptom control alone (1:1; stratified by disease status, disease site, duration of response to previous chemotherapy, and performance status). Docetaxel was given at a dose of 75 mg/m(2) by intravenous infusion every 3 weeks for up to six cycles. The primary endpoint was overall survival, analysed by intention to treat. This is the report of the planned final analysis. This study is an International Standardised Randomised Controlled Trial, number ISRCTN13366390. FINDINGS Between April 21, 2008, and April 26, 2012, we recruited 168 patients, allocating 84 to each treatment group. After a median follow-up of 12 months [IQR 10-21]) and 161 (96%) deaths (80 in the docetaxel group, 81 in the active symptom control group), median overall survival in the docetaxel group was 5.2 months (95% CI 4.1-5.9) versus 3.6 months (3.3-4.4) in the active symptom control group (hazard ratio 0.67, 95% CI 0.49-0.92; p=0.01). Docetaxel was associated with higher incidence of grade 3-4 neutropenia (12 [15%] patients vs no patients), infection (15 [19%] patients vs two [3%] patients), and febrile neutropenia (six [7%] patients vs no patients). Patients receiving docetaxel reported less pain (p=0.0008) and less nausea and vomiting (p=0.02) and constipation (p=0.02). Global HRQoL was similar between the groups (p=0.53). Disease specific HRQoL measures also showed benefits for docetaxel in reducing dysphagia (p=0.02) and abdominal pain (p=0.01). INTERPRETATION Our findings suggest that docetaxel can be recommended as an appropriate second-line treatment for patients with oesophagogastric adenocarcinoma that is refractory to treatment with platinum and fluoropyrimidine. FUNDING Cancer Research UK.


BMC Medical Research Methodology | 2009

Combining estimates of interest in prognostic modelling studies after multiple imputation: current practice and guidelines

Andrea Marshall; Douglas G. Altman; Roger Holder; Patrick Royston

BackgroundMultiple imputation (MI) provides an effective approach to handle missing covariate data within prognostic modelling studies, as it can properly account for the missing data uncertainty. The multiply imputed datasets are each analysed using standard prognostic modelling techniques to obtain the estimates of interest. The estimates from each imputed dataset are then combined into one overall estimate and variance, incorporating both the within and between imputation variability. Rubins rules for combining these multiply imputed estimates are based on asymptotic theory. The resulting combined estimates may be more accurate if the posterior distribution of the population parameter of interest is better approximated by the normal distribution. However, the normality assumption may not be appropriate for all the parameters of interest when analysing prognostic modelling studies, such as predicted survival probabilities and model performance measures.MethodsGuidelines for combining the estimates of interest when analysing prognostic modelling studies are provided. A literature review is performed to identify current practice for combining such estimates in prognostic modelling studies.ResultsMethods for combining all reported estimates after MI were not well reported in the current literature. Rubins rules without applying any transformations were the standard approach used, when any method was stated.ConclusionThe proposed simple guidelines for combining estimates after MI may lead to a wider and more appropriate use of MI in future prognostic modelling studies.


BMC Medical Research Methodology | 2010

Comparison of techniques for handling missing covariate data within prognostic modelling studies: a simulation study.

Andrea Marshall; Douglas G. Altman; Patrick Royston; Roger Holder

BackgroundThere is no consensus on the most appropriate approach to handle missing covariate data within prognostic modelling studies. Therefore a simulation study was performed to assess the effects of different missing data techniques on the performance of a prognostic model.MethodsDatasets were generated to resemble the skewed distributions seen in a motivating breast cancer example. Multivariate missing data were imposed on four covariates using four different mechanisms; missing completely at random (MCAR), missing at random (MAR), missing not at random (MNAR) and a combination of all three mechanisms. Five amounts of incomplete cases from 5% to 75% were considered. Complete case analysis (CC), single imputation (SI) and five multiple imputation (MI) techniques available within the R statistical software were investigated: a) data augmentation (DA) approach assuming a multivariate normal distribution, b) DA assuming a general location model, c) regression switching imputation, d) regression switching with predictive mean matching (MICE-PMM) and e) flexible additive imputation models. A Cox proportional hazards model was fitted and appropriate estimates for the regression coefficients and model performance measures were obtained.ResultsPerforming a CC analysis produced unbiased regression estimates, but inflated standard errors, which affected the significance of the covariates in the model with 25% or more missingness. Using SI, underestimated the variability; resulting in poor coverage even with 10% missingness. Of the MI approaches, applying MICE-PMM produced, in general, the least biased estimates and better coverage for the incomplete covariates and better model performance for all mechanisms. However, this MI approach still produced biased regression coefficient estimates for the incomplete skewed continuous covariates when 50% or more cases had missing data imposed with a MCAR, MAR or combined mechanism. When the missingness depended on the incomplete covariates, i.e. MNAR, estimates were biased with more than 10% incomplete cases for all MI approaches.ConclusionThe results from this simulation study suggest that performing MICE-PMM may be the preferred MI approach provided that less than 50% of the cases have missing data and the missing data are not MNAR.


BMC Medical Research Methodology | 2010

Comparison of imputation methods for handling missing covariate data when fitting a Cox proportional hazards model: a resampling study

Andrea Marshall; Douglas G. Altman; Roger Holder

BackgroundThe appropriate handling of missing covariate data in prognostic modelling studies is yet to be conclusively determined. A resampling study was performed to investigate the effects of different missing data methods on the performance of a prognostic model.MethodsObserved data for 1000 cases were sampled with replacement from a large complete dataset of 7507 patients to obtain 500 replications. Five levels of missingness (ranging from 5% to 75%) were imposed on three covariates using a missing at random (MAR) mechanism. Five missing data methods were applied; a) complete case analysis (CC) b) single imputation using regression switching with predictive mean matching (SI), c) multiple imputation using regression switching imputation, d) multiple imputation using regression switching with predictive mean matching (MICE-PMM) and e) multiple imputation using flexible additive imputation models. A Cox proportional hazards model was fitted to each dataset and estimates for the regression coefficients and model performance measures obtained.ResultsCC produced biased regression coefficient estimates and inflated standard errors (SEs) with 25% or more missingness. The underestimated SE after SI resulted in poor coverage with 25% or more missingness. Of the MI approaches investigated, MI using MICE-PMM produced the least biased estimates and better model performance measures. However, this MI approach still produced biased regression coefficient estimates with 75% missingness.ConclusionsVery few differences were seen between the results from all missing data approaches with 5% missingness. However, performing MI using MICE-PMM may be the preferred missing data approach for handling between 10% and 50% MAR missingness.


Lancet Oncology | 2014

Adjuvant bevacizumab in patients with melanoma at high risk of recurrence (AVAST-M): Preplanned interim results from a multicentre, open-label, randomised controlled phase 3 study

Pippa Corrie; Andrea Marshall; Janet A. Dunn; Mark R. Middleton; Paul Nathan; Martin Gore; Neville Davidson; Steve Nicholson; Charles Kelly; Maria Marples; Sarah Danson; Ernest Marshall; Stephen Houston; Ruth Board; Ashita Waterston; Jenny Nobes; Mark Harries; Satish Kumar; Gemma Young; Paul Lorigan

BACKGROUND Bevacizumab, a monoclonal antibody that targets VEGF, has shown restricted activity in patients with advanced melanoma. We aimed to assess the role of bevacizumab as adjuvant treatment for patients with resected melanoma at high risk of recurrence. We report results from the preplanned interim analysis. METHODS We did a multicentre, open-label, randomised controlled phase 3 trial at 48 centres in the UK between July 18, 2007, and March 29, 2012. Patients aged 16 years or older with American Joint Committee on Cancer stage (AJCC) stage IIB, IIC, and III cutaneous melanoma were randomly allocated (1:1), via a central, computer-based minimisation procedure, to receive intravenous bevacizumab 7.5 mg/kg, every 3 weeks for 1 year, or to observation. Randomisation was stratified by Breslow thickness of the primary tumour, N stage according to AJCC staging criteria, ulceration of the primary tumour, and patient sex. The primary endpoint was overall survival; secondary endpoints included disease-free interval, distant-metastases interval and quality of life. Analysis was by intention-to-treat. This trial is registered as an International Standardised Randomised Controlled Trial, number ISRCTN81261306. FINDINGS 1343 patients were randomised to either the bevacizumab group (n=671) or the observation group (n=672). Median follow-up was 25 months (IQR 16-37) in the bevacizumab group and 25 months (17-37) in the observation group. At the time of interim analysis, 286 (21%) of 1343 enrolled patients had died: 140 (21%) of 671 patients in the bevacizumab group, and 146 (22%) of 672 patients in the observation group. 134 (96%) of patients in the bevacizumab group died because of melanoma versus 139 (95%) in the observation group. We noted no significant difference in overall survival between treatment groups (hazard ratio [HR] 0.97, 95% CI 0.78-1.22; p=0.76); this finding persisted after adjustment for stratification variables (HR 1.03; 95% CI 0.81-1.29; p=0.83). Median duration of treatment with bevacizumab was 51 weeks (IQR 21-52) and dose intensity was 86% (41-96), showing good tolerability. 180 grade 3 or 4 adverse events were recorded in 101 (15%) of 671 patients in the bevacizumab group, and 36 (5%) of 672 patients in the observation group. Bevacizumab resulted in a higher incidence of grade 3 hypertension than did observation (41 [6%] vs one [<1%]). There was an improvement in disease-free interval for patients in the bevacizumab group compared with those in the observation group (HR 0.83, 95% CI 0.70-0.98, p=0.03), but no significant difference between groups for distant-metastasis-free interval (HR 0.88, 95% CI 0.73-1.06, p=0.18). No significant differences were noted between treatment groups in the standardised area under the curve for any of the quality-of-life scales over 36 months. Three adverse drug reactions were regarded as both serious and unexpected: one patient had optic neuritis after the first bevacizumab infusion, a second patient had persistent erectile dysfunction, and a third patient died of a haemopericardium after receiving two bevacizumab infusions and was later identified to have had significant predisposing cardiovascular risk factors. INTERPRETATION Bevacizumab has promising tolerability. Longer follow-up is needed to identify an effect on the primary endpoint of overall survival at 5 years.


Journal of the National Cancer Institute | 2016

Comparing Breast Cancer Multiparameter Tests in the OPTIMA Prelim Trial: No Test Is More Equal Than the Others

John M.S. Bartlett; Jane Bayani; Andrea Marshall; Janet A. Dunn; Amy F Campbell; Carrie Cunningham; Monika Sobol; Peter Hall; Christopher J. Poole; David Cameron; Helena M. Earl; Daniel Rea; Iain R. Macpherson; Peter Canney; Adele Francis; Christopher McCabe; Sarah Pinder; Luke Hughes-Davies; Andreas Makris; Robert Stein

BACKGROUND Previous reports identifying discordance between multiparameter tests at the individual patient level have been largely attributed to methodological shortcomings of multiple in silico studies. Comparisons between tests, when performed using actual diagnostic assays, have been predicted to demonstrate high degrees of concordance. OPTIMA prelim compared predicted risk stratification and subtype classification of different multiparameter tests performed directly on the same population. METHODS Three hundred thirteen women with early breast cancer were randomized to standard (chemotherapy and endocrine therapy) or test-directed (chemotherapy if Oncotype DX recurrence score >25) treatment. Risk stratification was also determined with Prosigna (PAM50), MammaPrint, MammaTyper, NexCourse Breast (IHC4-AQUA), and conventional IHC4 (IHC4). Subtype classification was provided by Blueprint, MammaTyper, and Prosigna. RESULTS Oncotype DX predicted a higher proportion of tumors as low risk (82.1%, 95% confidence interval [CI] = 77.8% to 86.4%) than were predicted low/intermediate risk using Prosigna (65.5%, 95% CI = 60.1% to 70.9%), IHC4 (72.0%, 95% CI = 66.5% to 77.5%), MammaPrint (61.4%, 95% CI = 55.9% to 66.9%), or NexCourse Breast (61.6%, 95% CI = 55.8% to 67.4%). Strikingly, the five tests showed only modest agreement when dichotomizing results between high vs low/intermediate risk. Only 119 (39.4%) tumors were classified uniformly as either low/intermediate risk or high risk, and 183 (60.6%) were assigned to different risk categories by different tests, although 94 (31.1%) showed agreement between four of five tests. All three subtype tests assigned 59.5% to 62.4% of tumors to luminal A subtype, but only 121 (40.1%) were classified as luminal A by all three tests and only 58 (19.2%) were uniformly assigned as nonluminal A. Discordant subtyping was observed in 123 (40.7%) tumors. CONCLUSIONS Existing evidence on the comparative prognostic information provided by different tests suggests that current multiparameter tests provide broadly equivalent risk information for the population of women with estrogen receptor (ER)-positive breast cancers. However, for the individual patient, tests may provide differing risk categorization and subtype information.


Annals of Oncology | 2012

Evaluation of glomerular filtration rate estimation by Cockcroft–Gault, Jelliffe, Wright and Modification of Diet in Renal Disease (MDRD) formulae in oncology patients

Nicola L. Ainsworth; Andrea Marshall; Helen Hatcher; L. Whitehead; G. A. Whitfield; Helena M. Earl

BACKGROUND The aim was to evaluate the accuracy of Cockcroft-Gault, Jelliffe, Wright and Modification of Diet in Renal Disease (MDRD) formulae as a substitute for the gold standard measure of glomerular filtration rate (GFR) using chromium 51 EDTA. PATIENTS AND METHODS Retrospective analysis of GFR measurements in oncology patients from a University Teaching Hospital over 3 years was carried out. Bias and precision of estimates of GFR were compared with measured GFR. RESULTS Six hundred and sixty patients with measured GFR (median 90 ml/min, range 23-179 ml/min) were identified. Cockcroft-Gault produced the smallest bias (median percentage error -1.4%) and highest precision (median absolute percentage error 14.0%) and was the most accurate for carboplatin dosing. For patients>30% over their ideal body weight (IBW), using IBW+30% in the Cockcroft-Gault formula was more precise than using actual body weight or IBW. The Wright formula was most accurate for patients aged 70+years and patients with a body mass index (BMI)≥30 but overestimated GFR when GFR<50 ml/min. CONCLUSIONS When measured GFR is unavailable, we advise estimating GFR using the Cockcroft-Gault formula and using IBW+30% for patients weighing>30% over their IBW. If the GFR is ≥50 ml/min and the patient is >70 years and/or BMI≥30, the Wright formula gives the best estimate of GFR.


European Journal of Cardio-Thoracic Surgery | 2013

Pulmonary rehabilitation programme for patients undergoing curative lung cancer surgery.

Amy Bradley; Andrea Marshall; Louisa Stonehewer; Lynn Reaper; Kim Parker; Elaine Bevan-Smith; Chris Jordan; James Gillies; Paula Agostini; Ehab Bishay; M. Kalkat; Richard Steyn; P. Rajesh; Janet A. Dunn; Babu Naidu

OBJECTIVES The aim of the study was to develop a multistranded pragmatic rehabilitation programme for operable lung cancer patients, that looks into feasibility, process indicators, outcome measures, local adaptability, compliance and potential cost benefit. METHODS An outpatient-based complex intervention, rehabilitation for operated lung cancer (ROC) programme, was developed to optimize physical status, prepare for the inpatient journey and support through recovery after surgery. It includes exercise classes, smoking cessation, dietary advice and patient education and was tested in an enriched cohort study within a regional thoracic unit over 18 months. RESULTS A multistranded pragmatic rehabilitation programme pre- and post-surgery is feasible. Fifty-eight patients received the intervention and 305 received standard care. Both groups were matched for age, lung function comorbidity and type of surgery. Patients in the intervention group attended exercise classes twice a week until surgery, which was not delayed. Patients attended four sessions presurgery (range 1-15), resulting in an improvement of 20 m (range -73-195, P = 0.001) in a 6-min walk test and 0.66 l in forced expiratory volume in 1 s (range -1.85 from 1.11, P = 0.009) from baseline to presurgery. Fifty-four percentage of smokers in the intervention group stopped smoking. Sixteen percentage of patients were identified as being at risk of malnourishment and received nutritional intervention. There was a trend in patients in the intervention group towards experiencing fewer postoperative pulmonary complications than those in the non-intervention group (9 vs 16%, respectively, P = 0.21) and fewer readmissions to hospital because of complications (5 vs 14% respectively, P = 0.12). CONCLUSION Chronic obstructive pulmonary disease-type pulmonary rehabilitation before and after lung cancer surgery is viable, and preliminary results suggest improvement in physical measures. A multicentre, randomized controlled trial is warranted to confirm clinical efficacy. ISRCTN REGISTRATION NUMBER ISRCTN00061628.


Journal of Clinical Oncology | 2018

Comparison of an Oral Factor Xa Inhibitor With Low Molecular Weight Heparin in Patients With Cancer With Venous Thromboembolism: Results of a Randomized Trial (SELECT-D)

Annie M. Young; Andrea Marshall; Jenny Thirlwall; Oliver Chapman; Anand Lokare; Catherine Hill; Danielle Hale; Janet A. Dunn; Gary H. Lyman; Charles E. Hutchinson; Peter MacCallum; Ajay K. Kakkar; Fd Richard Hobbs; Stavros Petrou; Jeremy Dale; Christopher J. Poole; Anthony Maraveyas; Mark N. Levine

Purpose Venous thromboembolism (VTE) is common in patients with cancer. Long-term daily subcutaneous low molecular weight heparin has been standard treatment for such patients. The purpose of this study was to assess if an oral factor Xa inhibitor, rivaroxaban, would offer an alternative treatment for VTE in patients with cancer. Patient and Methods In this multicenter, randomized, open-label, pilot trial in the United Kingdom, patients with active cancer who had symptomatic pulmonary embolism (PE), incidental PE, or symptomatic lower-extremity proximal deep vein thrombosis (DVT) were recruited. Allocation was to dalteparin (200 IU/kg daily during month 1, then 150 IU/kg daily for months 2-6) or rivaroxaban (15 mg twice daily for 3 weeks, then 20 mg once daily for a total of 6 months). The primary outcome was VTE recurrence over 6 months. Safety was assessed by major bleeding and clinically relevant nonmajor bleeding (CRNMB). A sample size of 400 patients would provide estimates of VTE recurrence to within ± 4.5%, assuming a VTE recurrence rate at 6 months of 10%. Results A total of 203 patients were randomly assigned to each group, 58% of whom had metastases. Twenty-six patients experienced recurrent VTE (dalteparin, n = 18; rivaroxaban, n = 8). The 6-month cumulative VTE recurrence rate was 11% (95% CI, 7% to 16%) with dalteparin and 4% (95% CI, 2% to 9%) with rivaroxaban (hazard ratio [HR], 0.43; 95% CI, 0.19 to 0.99). The 6-month cumulative rate of major bleeding was 4% (95% CI, 2% to 8%) for dalteparin and 6% (95% CI, 3% to 11%) for rivaroxaban (HR, 1.83; 95% CI, 0.68 to 4.96). Corresponding rates of CRNMB were 4% (95% CI, 2% to 9%) and 13% (95% CI, 9% to 19%), respectively (HR, 3.76; 95% CI, 1.63 to 8.69). Conclusion Rivaroxaban was associated with relatively low VTE recurrence but higher CRNMB compared with dalteparin.


British Journal of Cancer | 2016

Chemotherapy vs supportive care alone for relapsed gastric, gastroesophageal junction, and oesophageal adenocarcinoma: a meta-analysis of patient-level data.

Tobias Janowitz; Peter C. Thuss-Patience; Andrea Marshall; Jung Hun Kang; Claire Connell; Natalie Cook; Janet A. Dunn; Se Hoon Park; Hugo Ford

Background:Second-line chemotherapy treatment of patients with relapsed gastric and oesophageal cancers in comparison with supportive care (SC) alone has been supported by recent phase 3 clinical trials, but a meta-analysis of patient-level data is lacking.Methods:We searched Medline, the Cochrane Central Register of Controlled Trials (CENTRAL), and the Web of Science for phase 3 clinical trials that compared second-line chemotherapy with SC alone for gastric and oesophageal cancers. A meta-analysis of the comprehensive patient-level data from the three identified trials was performed.Results:A total of 410 patients with gastric (n=301), gastroesophageal junction (n=76), or oesophageal (n=33) adenocarcinoma were identified. In all, 154 patients received single-agent docetaxel and 84 patients received single-agent irinotecan, each with SC. SC alone was given to 172 patients. Chemotherapy significantly reduced the risk of death (hazard ratio (HR)=0.63, 95% confidence interval (CI)=0.51–0.77, P<0.0001). This effect was observed for treatment with docetaxel (HR=0.71, 95% CI=0.56–0.89, P=0.003) and irinotecan (HR=0.49, 95% CI=0.36–0.67, P<0.001). Overall survival (OS) benefit was greatest for patients who progressed 3–6 months following first-line chemotherapy (HR=0.39, 95% CI=0.26–0.59, P<0.0001). Performance status (PS) 0–1 compared with PS 2 (HR=0.66, 95% CI=0.46–0.94, P=0.02), locally advanced disease compared with metastatic disease (HR=0.41, 95% CI=0.25–0.67, P=0.0004) and older age (HR=0.94 per 5 years, 95% CI=0.90–0.99, P=0.01) were significant predictors of improved OS. Progression of disease during first-line treatment (HR=1.24, 95% CI=0.96–1.59) or within the first 3 months of completion of first-line treatment (HR=1.42, 95% CI=1.09–1.83) were predictors of an increased risk of death compared with progression between 3 and 6 months (P=0.03). Health-related quality of life outcomes were reported in only one of the three trials, precluding meta-analysis of these parameters.Conclusions:This meta-analysis of patient-level data confirms that second-line chemotherapy treatment results in significantly better OS compared with SC alone in patients with platinum and fluoropyrimidine refractory gastric and oesphageal adenocarcinoma. Health-related quality of life outcomes should be included in future trials in this setting.

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Robert Stein

University College London

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Luke Hughes-Davies

Cambridge University Hospitals NHS Foundation Trust

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David Cameron

Western General Hospital

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