Scott Tagliaferri

Mr. Scott Tagliaferri

orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

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

Representative Publications

View All Publications
19 October 2019 in British Journal of Sports Medicine
Verified
Journal Article
Open access
PDF file
POPatrick Owen
Patrick Owen
CMClint T Miller
Clint T Miller
NMNiamh L Mundell
Niamh L Mundell
SVSimone Verswijveren
Simone Verswijveren
STScott Tagliaferri
Scott Tagliaferri
DBDaniel Belavy
Daniel Belavy
Objective Examine the effectiveness of specific modes of exercise training in non-specific chronic low back pain (NSCLBP). Design Network meta-analysis (NMA). Data sources MEDLINE, CINAHL, SPORTDiscus, EMBASE, CENTRAL. Eligibility criteria Exercise training randomised controlled/clinical trials in adults with NSCLBP. Results Among 9543 records, 89 studies (patients=5578) were eligible for qualitative synthesis and 70 (pain), 63 (physical function), 16 (mental health) and 4 (trunk muscle strength) for NMA. The NMA consistency model revealed that the following exercise training modalities had the highest probability (surface under the cumulative ranking (SUCRA)) of being best when compared with true control: Pilates for pain (SUCRA=100%; pooled standardised mean difference (95% CI): −1.86 (–2.54 to –1.19)), resistance (SUCRA=80%; −1.14 (–1.71 to –0.56)) and stabilisation/motor control (SUCRA=80%; −1.13 (–1.53 to –0.74)) for physical function and resistance (SUCRA=80%; −1.26 (–2.10 to –0.41)) and aerobic (SUCRA=80%; −1.18 (–2.20 to –0.15)) for mental health. True control was most likely (SUCRA≤10%) to be the worst treatment for all outcomes, followed by therapist hands-off control for pain (SUCRA=10%; 0.09 (–0.71 to 0.89)) and physical function (SUCRA=20%; −0.31 (–0.94 to 0.32)) and therapist hands-on control for mental health (SUCRA=20%; −0.31 (–1.31 to 0.70)). Stretching and McKenzie exercise effect sizes did not differ to true control for pain or function (p>0.095; SUCRA<40%). NMA was not possible for trunk muscle endurance or analgesic medication. The quality of the synthesised evidence was low according to Grading of Recommendations Assessment, Development and Evaluation criteria. Summary/conclusion There is low quality evidence that Pilates, stabilisation/motor control, resistance training and aerobic exercise training are the most effective treatments, pending outcome of interest, for adults with NSCLBP. Exercise training may also be more effective than therapist hands-on treatment. Heterogeneity among studies and the fact that there are few studies with low risk of bias are both limitations.

14 October 2019 in Pain Practice
Verified
Journal Article
Closed access
PDF file
STScott Tagliaferri
Scott Tagliaferri
CMClint T. Miller
Clint T. Miller
POPatrick Owen
Patrick Owen
UMUlrike H. Mitchell
Ulrike H. Mitchell
HBHelena Brisby
Helena Brisby
DBDaniel Belavy
Daniel Belavy

9 July 2020 in npj Digital Medicine
Verified
Journal Article
Open access
PDF file
STScott Tagliaferri
Scott Tagliaferri
MAMaia Angelova
Maia Angelova
XZXiaohui Zhao
Xiaohui Zhao
POPatrick Owen
Patrick Owen
CMClint T. Miller
Clint T. Miller
DBDaniel Belavy
Daniel Belavy
Artificial intelligence and machine learning (AI/ML) could enhance the ability to detect patterns of clinical characteristics in low-back pain (LBP) and guide treatment. We conducted three systematic reviews to address the following aims: (a) review the status of AI/ML research in LBP, (b) compare its status to that of two established LBP classification systems (STarT Back, McKenzie). AI/ML in LBP is in its infancy: 45 of 48 studies assessed sample sizes <1000 people, 19 of 48 studies used ≤5 parameters in models, 13 of 48 studies applied multiple models and attained high accuracy, 25 of 48 studies assessed the binary classification of LBP versus no-LBP only. Beyond the 48 studies using AI/ML for LBP classification, no studies examined use of AI/ML in prognosis prediction of specific sub-groups, and AI/ML techniques are yet to be implemented in guiding LBP treatment. In contrast, the STarT Back tool has been assessed for internal consistency, test−retest reliability, validity, pain and disability prognosis, and influence on pain and disability treatment outcomes. McKenzie has been assessed for inter- and intra-tester reliability, prognosis, and impact on pain and disability outcomes relative to other treatments. For AI/ML methods to contribute to the refinement of LBP (sub-)classification and guide treatment allocation, large data sets containing known and exploratory clinical features should be examined. There is also a need to establish reliability, validity, and prognostic capacity of AI/ML techniques in LBP as well as its ability to inform treatment allocation for improved patient outcomes and/or reduced healthcare costs.

20 December 2023 in European journal of pain
Verified
Journal Article
Open access
TSTobias Saueressig
Tobias Saueressig
POPatrick Owen
Patrick Owen
HPHugo Pedder
Hugo Pedder
STScott Tagliaferri
Scott Tagliaferri
SKSvenja Kaczorowski
Svenja Kaczorowski
DBDaniel Belavy
Daniel Belavy
Background and Objective: Contextual effects (e.g. patient expectations) may play a role in treatment effectiveness. This study aimed to estimate the magnitude of contextual effects for conservative, non‐pharmacological interventions for musculoskeletal pain conditions. A systematic review and meta‐analysis of randomized controlled trials (RCTs) that compared placebo conservative non‐pharmacological interventions to no treatment for musculoskeletal pain. The outcomes assessed included pain intensity, physical functioning, health‐related quality of life, global rating of change, depression, anxiety and sleep at immediate, short‐, medium‐ and/or long‐term follow‐up.Databases and Data Treatment: MEDLINE, EMBASE, CINAHL, Web of Science Core Collection, CENTRAL and SPORTDiscus were searched from inception to September 2021. Trial registry searches, backward and forward citation tracking and searches for prior systematic reviews were completed. The Cochrane risk of bias 2 tool was implemented.Results: The study included 64 RCTs (N = 4314) out of 8898 records. For pain intensity, a mean difference of (MD: −5.32, 95% confidence interval (CI): −7.20, −3.44, N = 57 studies with 74 outcomes, GRADE: very low) was estimated for placebo interventions. A small effect in favour of the placebo interventions for physical function was estimated (SMD: −0.22, 95% CI: −0.35, −0.09; N = 37 with 48 outcomes, GRADE: very low). Similar results were found for a broad range of patient‐reported outcomes. Meta‐regression analyses did not explain heterogeneity among analyses.Conclusion: The study found that the contextual effect of non‐pharmacological conservative interventions for musculoskeletal conditions is likely to be small. However, given the known effect sizes of recommended evidence‐based treatments for musculoskeletal conditions, it may still contribute an important component.Significance: Contextual effects of non‐pharmacological conservative interventions for musculoskeletal conditions are likely to be small for a broad range of patient‐reported outcomes (pain intensity, physical function, quality of life, global rating of change and depression). Contextual effects are unlikely, in isolation, to offer much clinical care. But these factors do have relevance in an overall treatment context as they provide almost 30% of the minimally clinically important difference.

18 September 2020 in Sports Medicine
Verified
Journal Article
Closed access
PDF file
JHJoshua Hanel
Joshua Hanel
POPatrick Owen
Patrick Owen
SHSteffen Held
Steffen Held
STScott Tagliaferri
Scott Tagliaferri
CMClint T. Miller
Clint T. Miller
DBDaniel Belavy
Daniel Belavy

Verified
Journal Article
Open access
PDF file
STScott Tagliaferri
Scott Tagliaferri
CMClint T. Miller
Clint T. Miller
JFJon Ford
Jon Ford
AHAndrew J. Hahne
Andrew J. Hahne
LMLuana Main
Luana Main
DBDaniel Belavy
Daniel Belavy
Exercise and spinal manipulative therapy are commonly used for the treatment of chronic low back pain (CLBP) in Australia. Reduction in pain intensity is a common outcome; however, it is only one measure of intervention efficacy in clinical practice. Therefore, we evaluated the effectiveness of two common clinical interventions on physical and self-report measures in CLBP. Participants were randomized to a 6-month intervention of general strength and conditioning (GSC; n = 20; up to 52 sessions) or motor control exercise plus manual therapy (MCMT; n = 20; up to 12 sessions). Pain intensity was measured at baseline and fortnightly throughout the intervention. Trunk extension and flexion endurance, leg muscle strength and endurance, paraspinal muscle volume, cardio-respiratory fitness and self-report measures of kinesiophobia, disability and quality of life were assessed at baseline and 3- and 6-month follow-up. Pain intensity differed favoring MCMT between-groups at week 14 and 16 of treatment (both, p = 0.003), but not at 6-month follow-up. Both GSC (mean change (95%CI): −10.7 (−18.7, −2.8) mm; p = 0.008) and MCMT (−19.2 (−28.1, −10.3) mm; p < 0.001) had within-group reductions in pain intensity at six months, but did not achieve clinically meaningful thresholds (20mm) within- or between-group. At 6-month follow-up, GSC increased trunk extension (mean difference (95% CI): 81.8 (34.8, 128.8) s; p = 0.004) and flexion endurance (51.5 (20.5, 82.6) s; p = 0.004), as well as leg muscle strength (24.7 (3.4, 46.0) kg; p = 0.001) and endurance (9.1 (1.7, 16.4) reps; p = 0.015) compared to MCMT. GSC reduced disability (−5.7 (−11.2, −0.2) pts; p = 0.041) and kinesiophobia (−6.6 (−9.9, −3.2) pts; p < 0.001) compared to MCMT at 6-month follow-up. Multifidus volume increased within-group for GSC (p = 0.003), but not MCMT or between-groups. No other between-group changes were observed at six months. Overall, GSC improved trunk endurance, leg muscle strength and endurance, self-report disability and kinesiophobia compared to MCMT at six months. These results show that GSC may provide a more diverse range of treatment effects compared to MCMT.