Rob Stirling

Prof. Dr. Rob Stirling

orcid

Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2014 in Respiratory Research
Verified
Journal Article
Open access
PDF file
ALAnnemarie L Lee
Annemarie L Lee
CHCatherine J Hill
Catherine J Hill
NCNola Cecins
Nola Cecins
SJSasha Nicole Jenkins
Sasha Nicole Jenkins
CMChristine McDonald
Christine McDonald
AHAnne E Holland
Anne E Holland
Exercise training is recommended for non-cystic fibrosis (CF) bronchiectasis, but the long-term effects are unclear. This randomised controlled trial aimed to determine the effects of exercise training and review of airway clearance therapy (ACT) on exercise capacity, health related quality of life (HRQOL) and the incidence of acute exacerbations in people with non-CF bronchiectasis.

8 June 2014 in Lung
Verified
Journal Article
Closed access
PDF file
RSRob Stirling
Rob Stirling
SESue Evans
Sue Evans
PMP. McLaughlin
P. McLaughlin
MSM. Senthuren
M. Senthuren
JMJ. Millar
J. Millar
JMJohn McNeil
John McNeil

1 September 2014 in Respiratory Medicine
Verified
Journal Article
Closed access
ALA.L. Lee
A.L. Lee
CHC.J. Hill
C.J. Hill
NCN. Cecins
N. Cecins
SJSasha Nicole Jenkins
Sasha Nicole Jenkins
CMChristine McDonald
Christine McDonald
AHA.E. Holland
A.E. Holland

GTGetayeneh Antehunegn Tesema
Getayeneh Antehunegn Tesema
ZTZemenu Tadesse Tessema
Zemenu Tadesse Tessema
SHstephane heritier
stephane heritier
RSRob Stirling
Rob Stirling
Arul EarnestArul Earnest
Arul Earnest
With the advancement of spatial analysis approaches, methodological research addressing the technical and statistical issues related to joint spatial and spatiotemporal models has increased. Despite the benefits of spatial modelling of several interrelated outcomes simultaneously, there has been no published systematic review on this topic, specifically when such models would be useful. This systematic review therefore aimed at reviewing health research published using joint spatial and spatiotemporal models. A systematic search of published studies that applied joint spatial and spatiotemporal models was performed using six electronic databases without geographic restriction. A search with the developed search terms yielded 4077 studies, from which 43 studies were included for the systematic review, including 15 studies focused on infectious diseases and 11 on cancer. Most of the studies (81.40%) were performed based on the Bayesian framework. Different joint spatial and spatiotemporal models were applied based on the nature of the data, population size, the incidence of outcomes, and assumptions. This review found that when the outcome is rare or the population is small, joint spatial and spatiotemporal models provide better performance by borrowing strength from related health outcomes which have a higher prevalence. A framework for the design, analysis, and reporting of such studies is also needed.

11 March 2021 in ERJ Open Research
Verified
Journal Article
Open access
PDF file
JPJonathan Pham
Jonathan Pham
MCMatthew Conron
Matthew Conron
GWGavin Wright
Gavin Wright
PMPaul Mitchell
Paul Mitchell
DBDavid Ball
David Ball
RSRob Stirling
Rob Stirling
Treatment of elderly patients with lung cancer is significantly hindered by concerns about treatment tolerability, toxicity and limited clinical trial data in the elderly; potentially giving rise to treatment nihilism amongst clinicians. This study aims to describe survival in elderly patients with lung cancer and explore potential causes for excess mortality.Patients diagnosed with lung cancer in the Victorian Lung Cancer Registry between 2011–2018 were analysed (n=3481). Patients were age-categorised and compared using Cox-regression modelling to determine mortality risk, after adjusting for confounding. Probability of being offered cancer treatments was also determined, further stratified by disease stage.The eldest patients (≥80 years old) had significantly shorter median survival compared with younger age groups (<60 years: 2.0 years; 60–69 years: 1.5 years; 70–79 years: 1.6 years; ≥80 years: 1.0 years; p<0.001). Amongst those diagnosed with stage 1 or 2 lung cancer, there was no significant difference in adjusted-mortality between age groups. However, in those diagnosed with stage 3 or 4 disease, the eldest patients had an increased adjusted-mortality risk of 28% compared with patients younger than 60 years old (p=0.005), associated with markedly reduced probability of cancer treatment, after controlling for sex, performance status, comorbidities and histology type (OR 0.24, compared with <60 years old strata; p<0.001).Compared to younger patients, older patients with advanced-stage lung cancer have a disproportionately higher risk of mortality and lower likelihood of receiving cancer treatments, even when performance status and comorbidity are equivalent. These healthcare inequities could be indicative of widespread treatment nihilism towards elderly patients.

1 May 2021 in Journal of Thoracic Oncology
Verified
Journal Article
Closed access
RSRob Stirling
Rob Stirling
CCCerys Chau
Cerys Chau
ASAli Shareh
Ali Shareh
JZJohn Zalcberg
John Zalcberg
BFBarbara M. Fischer
Barbara M. Fischer