Catherine McFarlane

Ms. Catherine McFarlane

University of Queensland, Brisbane, Australia
+1
orcid

Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

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

Representative Publications

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1 May 2019 in Journal of Renal Nutrition
Verified
Journal Article
Open access
CMCatherine McFarlane
Catherine McFarlane
CRChristiane I. Ramos
Christiane I. Ramos
DJDavid W. Johnson
David W. Johnson
KCKatrina L. Campbell
Katrina L. Campbell
Gut dysbiosis has been implicated in the pathogenesis of chronic kidney disease (CKD). Restoring gut microbiota with prebiotic, probiotic, and synbiotic supplementation has emerged as a potential therapeutic intervention but has not been systematically evaluated in the CKD population. This is a systematic review. A structured search of MEDLINE, CINAHL, EMBASE, Cochrane Central Register of Controlled Trials, and the International Clinical Trials Register Search Portal was conducted for articles published since inception until July 2017. Included studies were randomized controlled trials investigating the effects of prebiotic, probiotic, and/or synbiotic supplementation (>1 week) on uremic toxins, microbiota profile, and clinical and patient-centered outcomes in adults and children with CKD. Sixteen studies investigating 645 adults met the inclusion criteria; 5 investigated prebiotics, 6 probiotics, and 5 synbiotics. The quality of the studies (Grades of Recommendation, Assessment, Development and Evaluation) ranged from moderate to very low. Prebiotic, probiotic, and synbiotic supplementation may have led to little or no difference in serum urea (9 studies, 345 participants: mean difference [MD] -0.30 mmol/L, 95% confidence interval [CI] -2.20 to 1.61, P = .76, I2 = 53%), indoxyl sulfate (4 studies, 144 participants: MD -0.02 mg/dL, 95% CI -0.09 to 0.05, P = .61, I2 = 0%), and p-cresyl sulfate (4 studies, 144 participants: MD -0.13 mg/dL, 95% CI -0.41 to 0.15, P = .35, I2 = 0%). Prebiotic supplementation may have slightly reduced serum urea concentration (4 studies, 105 participants: MD -2.23 mmol/L, 95% CI -3.83 to -0.64, P = .006, I2 = 11). Of the 2 studies investigating microbiota changes, synbiotic interventions significantly increased Bifidobacterium. Supplement effects on clinical outcomes were uncertain. There is limited evidence to support the use of prebiotics, probiotics, and/or synbiotics in CKD management.

15 December 2021 in Nutrients
Verified
Journal Article
Open access
PDF file
CMCatherine McFarlane
Catherine McFarlane
RKRathika Krishnasamy
Rathika Krishnasamy
TSTony Stanton
Tony Stanton
ESEmma Savill
Emma Savill
Matthew SnelsonMatthew Snelson
Matthew Snelson
KCKatrina L. Campbell
Katrina L. Campbell
Synbiotics have emerged as a therapeutic strategy for modulating the gut microbiome and targeting novel cardiovascular risk factors, including uremic toxins indoxyl sulfate (IS) and p-cresyl sulfate (PCS). This study aims to evaluate the feasibility of a trial of long-term synbiotic supplementation in adults with stage 3–4 chronic kidney disease (CKD). Adult participants with CKD and estimated glomerular filtration rate (eGFR) of 15–60 mL/min/1.73 m2) were recruited between April 2017 and August 2018 to a feasibility, double-blind, placebo-controlled, randomized trial of synbiotic therapy or matched identical placebo for 12 months. The primary outcomes were recruitment and retention rates as well as acceptability of the intervention. Secondary outcomes were treatment adherence and dietary intake. Exploratory outcomes were evaluation of the cardiovascular structure and function, serum IS and PCS, stool microbiota profile, kidney function, blood pressure, and lipid profile. Of 166 potentially eligible patients, 68 (41%) were recruited into the trial (synbiotic n = 35, placebo n = 33). Synbiotic and placebo groups had acceptable and comparable 12-month retention rates (80% versus 85%, respectively, p = 0.60). Synbiotic supplementation altered the stool microbiome with an enrichment of Bifidobacterium and Blautia spp., resulting in a 3.14 mL/min/1.73 m2 (95% confidence interval (CI), −6.23 to −0.06 mL/min/1.73 m2, p < 0.01) reduction in eGFR and a 20.8 µmol/L (95% CI, 2.97 to 38.5 µmol/L, p < 0.01) increase in serum creatinine concentration. No between-group differences were observed in any of the other secondary or exploratory outcomes. Long-term synbiotic supplementation was feasible and acceptable to patients with CKD, and it modified the gastrointestinal microbiome. However, the reduction in kidney function with synbiotics warrants further investigation.

31 May 2021 in JMIR Medical Education
Verified
Journal Article
Open access
JCJustin Clark
Justin Clark
CMCatherine McFarlane
Catherine McFarlane
GCGina Cleo
Gina Cleo
Christiane Ishikawa RamosChristiane Ishikawa Ramos
Christiane Ishikawa Ramos
Skye MarshallSkye Marshall
Skye Marshall
Background: Systematic reviews (SRs) are considered the highest level of evidence to answer research questions; however, they are time and resource intensive. Objective: When comparing SR tasks done manually, using standard methods, versus those same SR tasks done using automated tools, (1) what is the difference in time to complete the SR task and (2) what is the impact on the error rate of the SR task? Methods: A case study compared specific tasks done during the conduct of an SR on prebiotic, probiotic, and synbiotic supplementation in chronic kidney disease. Two participants (manual team) conducted the SR using current methods, comprising a total of 16 tasks. Another two participants (automation team) conducted the tasks where a systematic review automation (SRA) tool was available, comprising of a total of six tasks. The time taken and error rate of the six tasks that were completed by both teams were compared. Results: The approximate time for the manual team to produce a draft of the background, methods, and results sections of the SR was 126 hours. For the six tasks in which times were compared, the manual team spent 2493 minutes (42 hours) on the tasks, compared to 708 minutes (12 hours) spent by the automation team. The manual team had a higher error rate in two of the six tasks—regarding Task 5: Run the systematic search, the manual team made eight errors versus three errors made by the automation team; regarding Task 12: Assess the risk of bias, 25 assessments differed from a reference standard for the manual team compared to 20 differences for the automation team. The manual team had a lower error rate in one of the six tasks—regarding Task 6: Deduplicate search results, the manual team removed one unique study and missed zero duplicates versus the automation team who removed two unique studies and missed seven duplicates. Error rates were similar for the two remaining compared tasks—regarding Task 7: Screen the titles and abstracts and Task 9: Screen the full text, zero relevant studies were excluded by both teams. One task could not be compared between groups—Task 8: Find the full text. Conclusions: For the majority of SR tasks where an SRA tool was used, the time required to complete that task was reduced for novice researchers while methodological quality was maintained.

1 September 2022 in Journal of Renal Nutrition
Verified
Journal Article
Closed access
PDF file
CMCatherine McFarlane
Catherine McFarlane
RKRathika Krishnasamy
Rathika Krishnasamy
TSTony Stanton
Tony Stanton
ESEmma Savill
Emma Savill
MSMatthew Snelson
Matthew Snelson
KCKatrina L. Campbell
Katrina L. Campbell

1 March 2009 in Journal of Renal Nutrition
Verified
Journal Article
Closed access
KCKatrina L. Campbell
Katrina L. Campbell
SASusan Ash
Susan Ash
RZRachel Zabel
Rachel Zabel
CMCatherine McFarlane
Catherine McFarlane
PJPhilip Juffs
Philip Juffs
JBJudy Bauer
Judy Bauer

9 January 2020 in Journal of Renal Nutrition
Verified
Journal Article
Closed access
Matthew SnelsonMatthew Snelson
Matthew Snelson
ABAnnabel Biruete
Annabel Biruete
CMCatherine McFarlane
Catherine McFarlane
KCKatrina Campbell
Katrina Campbell