thomas.dakin@sydney.edu.au

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So far Thomas Dakin has created 418 blog entries.

A systematic review and meta-analysis of the prevalence of left ventricular non-compaction in adults – Samantha B Ross et al.

2019-06-07T14:22:25+10:00Cardiovascular disease, Publications, Tests|

The prevalence of LVNC is higher than expected for a rare disease in all population cohorts. There are at least three major factors which appear to strongly influence the high prevalence of LVNC including the type of imaging modality used, the characteristics of the cohort [...]

Resisting recommended treatment for prostate cancer: a qualitative analysis of the lived experience of possible overdiagnosis – Kirsten McCaffery et al.

2019-05-31T11:01:16+10:00Cancer, Prostate cancer, Publications|

Men who choose not to have recommended treatment for prostate cancer may avoid treatment-associated harms like incontinence and impotence, however our findings showed that the impact of the diagnosis itself is immense and far-reaching. A high priority for improving clinical practice is to ensure men [...]

Reforming disease definitions: a new primary care led, people-centred approach – Ray Moynihan et al.

2019-05-31T11:02:01+10:00Expanding disease definitions, Publications|

Expanding disease definitions are causing more and more previously healthy people to be labelled as diseased, contributing to the problem of overdiagnosis and related overtreatment. Often the specialist guideline panels which expand definitions have close tis to industry and do not investigate the harms of [...]

Availability and readability of patient education materials for deprescribing: An environmental scan – Michael Fajardo et. al.

2019-05-16T12:43:52+10:00Deprescribing, Health literacy, Publications|

Over 1/3 of deprescribing patient education materials (PEMs) present potential benefits and harms of deprescribing indicating most of the freely available materials are not balanced. Most PEMs are pitched above average reading levels making them inaccessible for low health literacy populations.

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