Evidence Based Guideline

|Evidence Based Guideline
Evidence Based Guideline 2017-10-04T20:16:53+00:00

Evidence-based Guideline for the assessment and management of polycystic ovary syndrome (PCOS)

The Australian PCOS Alliance published the first international evidence-based guideline for the assessment and management of PCOS in 2011, using a rigorous approach incorporating consumer participation and considered judgment of 31 expert clinicians and researchers from PCOS relevant disciplines.

It provides 38 recommendations addressing four key areas:

  1. Challenges of assessment and diagnosis;
  2. Assessment of emotional wellbeing;
  3. Lifestyle management; and
  4. Therapy for infertility.

The guideline is approved by the National Health and Medical Research Council in Australia, has been commended internationally by the NIH and incorporated into the NICE guidelines in the UK and now by the WHO.

The Centre for Research Excellence in PCOS will expand and extend this guideline to become the international guideline in PCOS.

In the interim, in response to a recent publication of a large scale, high quality trial, we have updated the section of the guideline relating to the use of aromatase inhibitors. Until now, use of aromatase inhibitors has been a controversial topic and they have not been recommended for ovulation induction in women with PCOS, given uncertainty of the evidence. Incorporating new evidence into our meta-analysis and rigorous guideline process we now propose their use, with consideration of the individual patient and situation.

We are now in the initial stages of a full update and expansion with a Delphi process conducted to identify additional clinical priority areas where guidance is needed. We anticipate completion of the updated guideline in 2017 in parallel with the Translation program. Read an update here…

Additional tools

Additional tools for General Practitioners and Health Care Providers to support the assessment and management at a primary care level, as well as a PCOS guidelines algorithm with a summary of recommendations can be found here.