OBJECTIVE: To describe the management of @entity43 to be undertaken by a gynaecologist and to describe the highest level of primary research evidence supporting it. DESIGN: Use of regional guidelines and semi-structured interviews with gynaecological oncologists to devise a flow-chart algorithm for management. Use of an algorithm to identify the key research questions and to define search strategies for primary research, which was assessed using pre-defined criteria for validity. MAIN OUTCOME MEASURES: Highest level of evidence for each research question based on the design of the valid studies. RESULTS: Prospective cohort studies (level II-2A) support the algorithm's diagnostic procedures. The evidence for accurate staging is derived from case series data (level II-2B). Preserving the uterus in young @entity1 wishing to maintain fertility is supported by prospective cohort studies (level II-2A) and by case series data (level IV) for @entity1 with germ cell @entity5 . Prospective cohort studies (level II-2A) support surgical management with hysterectomy, bilateral oophorectomy and debulking. The evidence for chemotherapy comes from randomised controlled trials (level I), except for germ cell @entity5 where the evidence was from case series data (level IV). CONCLUSIONS: The management of @entity43 and the level of evidence supporting it can be described using a flow-chart algorithm. Evaluations of whether this presentation helps consultants follow guidelines are required.

Development of an evidence-based algorithm for the management of XXXX .

@entity43 :: ('MESH:D010051', 'Disease') :: ['ovarian cancer'] @entity1 :: ('9606', 'Species') :: ['women'] @entity5 :: ('MESH:D009369', 'Disease') :: ['tumours']
@entity43 :: (MESH:D010051,Disease) :: ['ovarian cancer']
