PD66-09 ACCURATE PREDICTION OF PROGRESSION TO MUSCLE INVASIVE DISEASE IN PATIENTS WITH T1G3 BLADDER CANCER: A CLINICAL DECISION-MAKING TOOL

Abstract: Current advances in molecular techniques and bioinformatics allowed the analysis of complex molecular patterns in various cancers including muscle-invasive bladder cancer. As a consequence, in the last few years numerous gene- and protein expression-based molecular classifications have been recommended. Recently a comprehensive consensus classification for muscle-invasive urothelial bladder cancer has been published, distinguishing 6 subgroups with a potential impact on clinical decision-making. At the same time, the therapeutic landscape of muscle-invasive bladder cancer becomes increasingly differentiated as novel checkpoint inhibitors have been available for cisplatin-ineligible and/or resistant patients. Furthermore, promising results have been obtained with FGFR targeting agents. Therefore, molecular subtyping will probably have a crucial role in individualized therapeutic decision-making in bladder cancer. In the present work, we summarize the evolution, recent advances and potential therapeutic relevance of molecular subclassifications in bladder cancer. Orv Hetil. 2019; 160(42): 1647–1654.

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Nottingham Prognostic Index Plus (NPI+): a modern clinical decision making tool in breast cancer

British Journal of Cancer ◽

10.1038/bjc.2014.120 ◽

2014 ◽

Vol 110 (7) ◽

pp. 1688-1697 ◽

Cited By ~ 53

Author(s):

E A Rakha ◽

D Soria ◽

A R Green ◽

C Lemetre ◽

D G Powe ◽

...

Keyword(s):

Breast Cancer ◽

Decision Making ◽

Clinical Decision Making ◽

Prognostic Index ◽

Clinical Decision ◽

Nottingham Prognostic Index ◽

Decision Making Tool

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Nuclear scans: A clinical decision making tool that reduces the need for cardiac catheterization

Journal of Chronic Diseases ◽

10.1016/0021-9681(87)90172-x ◽

1987 ◽

Vol 40 (5) ◽

pp. 385-397 ◽

Cited By ~ 10

Author(s):

Sylvia Wassertheil-Smoller ◽

Richard M. Steingart ◽

John P. Wexler ◽

Jonathan Tobin ◽

Nancy Budner ◽

...

Keyword(s):

Decision Making ◽

Cardiac Catheterization ◽

Clinical Decision Making ◽

Clinical Decision ◽

Decision Making Tool

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Abstract P5-09-01: Nottingham prognostic index plus (NPI+): Validation of the modern clinical decision making tool in breast cancer

10.1158/1538-7445.sabcs14-p5-09-01 ◽

2015 ◽

Author(s):

Andrew R Green ◽

Daniel Soria ◽

Jacqueline Stephen ◽

Desmond G Powe ◽

Christopher C Nolan ◽

...

Keyword(s):

Breast Cancer ◽

Decision Making ◽

Clinical Decision Making ◽

Prognostic Index ◽

Clinical Decision ◽

Nottingham Prognostic Index ◽

Decision Making Tool

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Clinical decision making in the provision of audiovisual care for upper limb trauma: a survey of UK experiences

Hand Therapy ◽

10.1177/1758998320972132 ◽

2020 ◽

pp. 175899832097213

Author(s):

Emily McMullen ◽

Megan Robson ◽

Mark Paul Brewin ◽

Poonam Valand ◽

Leela Sayed ◽

...

Keyword(s):

Decision Making ◽

Upper Limb ◽

Clinical Decision Making ◽

Clinical Decision ◽

Service Planning ◽

Cross Sectional Survey ◽

Visual Technology ◽

Limb Trauma ◽

The Uk ◽

Decision Making Tool

Introduction For many patients, audio-visual appointments have provided a timely and efficient way of seeking advice, assessment and treatment for their hand injuries during the NHS response to COVID-19. This study aimed to explore the experience of hand units across the UK in determining the safe and judicious use of audio-visual outpatient care for the management of acute upper limb trauma. Methods An online cross-sectional survey was sent to the therapy leads of hand units across the UK. Questions focused on the experience of using audio-visual technology in the management of upper limb trauma, and the relevant factors in determining its appropriate use. A deductive mixed methods analysis was used to identify both common themes and capture community experience and characteristics. Results A total of 51 out of 76 hand therapy units completed the survey; a response rate of 67%. Of these, 82% (42/51) reported using audio-visual technology to manage upper limb trauma during the UK COVID-19 lockdown. When determining patient suitability for audio-visual consultations, 73% (37/51) of respondents reported the use of COVID-19 guidelines, but only 35% (18/51) reported the use of a clinical decision-making tool. In agreement with our experience at Salisbury Hospital Foundation Trust, 92% (47/51) had concerns relating to the use of audio-visual care. Conclusion The choice of safely managed remote care or in-person consultation has, to date, largely relied on the discretion of the clinician. A carefully designed clinical decision-making tool for the management of upper limb trauma is needed for use both in clinical practice and in future service planning.

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The pediatric intermed: A new clinical -decision making tool for proactive evaluation of psychosocial stress in children with IBD

Inflammatory Bowel Diseases ◽

10.1097/00054725-201112002-00192 ◽

2011 ◽

Vol 17 ◽

pp. S60

Author(s):

Janice Cohen ◽

David Mack ◽

John Lyons ◽

Eric Benchimol

Keyword(s):

Decision Making ◽

Psychosocial Stress ◽

Clinical Decision Making ◽

Clinical Decision ◽

Decision Making Tool

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Prediction of Intravesical Recurrence After Radical Nephroureterectomy: Development of a Clinical Decision-making Tool

European Urology ◽

10.1016/j.eururo.2013.09.003 ◽

2014 ◽

Vol 65 (3) ◽

pp. 650-658 ◽

Cited By ~ 71

Author(s):

Evanguelos Xylinas ◽

Luis Kluth ◽

Niccolo Passoni ◽

Quoc-Dien Trinh ◽

Malte Rieken ◽

...

Keyword(s):

Decision Making ◽

Clinical Decision Making ◽

Clinical Decision ◽

Radical Nephroureterectomy ◽

Decision Making Tool

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Consensus for a primary care clinical decision-making tool for assessing, diagnosing, and managing shoulder pain in Alberta, Canada

BMC Family Practice ◽

10.1186/s12875-021-01544-3 ◽

2021 ◽

Vol 22 (1) ◽

Author(s):

Breda H. F. Eubank ◽

Sebastian W. Lackey ◽

Mel Slomp ◽

Jason R. Werle ◽

Colleen Kuntze ◽

...

Keyword(s):

Primary Care ◽

Decision Making ◽

Shoulder Pain ◽

Clinical Decision Making ◽

Clinical Decision ◽

Primary Care Providers ◽

Rapid Review ◽

Diagnosis And Management ◽

Joint Health ◽

Decision Making Tool

Abstract Background Shoulder pain is a highly prevalent condition and a significant cause of morbidity and functional disability. Current data suggests that many patients presenting with shoulder pain at the primary care level are not receiving high quality care. Primary care decision-making is complex and has the potential to influence the quality of care provided and patient outcomes. The aim of this study was to develop a clinical decision-making tool that standardizes care and minimizes uncertainty in assessment, diagnosis, and management. Methods First a rapid review was conducted to identify existing tools and evidence that could support a comprehensive clinical decision-making tool for shoulder pain. Secondly, provincial consensus was established for the assessment, diagnosis, and management of patients presenting to primary care with shoulder pain in Alberta, Canada using a three-step modified Delphi approach. This project was a highly collaborative effort between Alberta Health Services’ Bone and Joint Health Strategic Clinical Network (BJH SCN) and the Alberta Bone and Joint Health Institute (ABJHI). Results A clinical decision-making tool for shoulder pain was developed and reached consensus by a province-wide expert panel representing various health disciplines and geographical regions. This tool consists of a clinical examination algorithm for assessing, diagnosis, and managing shoulder pain; recommendations for history-taking and identification of red flags or additional concerns; recommendations for physical examination and neurological screening; recommendations for the differential diagnosis; and care pathways for managing patients presenting with rotator cuff disease, biceps pathology, superior labral tear, adhesive capsulitis, osteoarthritis, and instability. Conclusions This clinical decision-making tool will help to standardize care, provide guidance on the diagnosis and management of shoulder pain, and assist in clinical decision-making for primary care providers in both public and private sectors.

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