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Cochrane Database of Systematic Reviews

Phytoestrogens for vasomotor menopausal symptoms

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Information

DOI:
https://doi.org/10.1002/14651858.CD001395.pub3Copy DOI
Database:
  1. Cochrane Database of Systematic Reviews
Version published:
  1. 17 October 2007see what's new
Type:
  1. Intervention
Stage:
  1. Review
Cochrane Editorial Group:
  1. Cochrane Gynaecology and Fertility Group

Copyright:
  1. Copyright © 2010 The Cochrane Collaboration. Published by John Wiley & Sons, Ltd.

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Authors

  • Anne Lethaby

    Correspondence to: Section of Epidemiology & Biostatistics, School of Population Health,University of Auckland, Auckland, New Zealand

    [email protected]

  • Jane Marjoribanks

    Obstetrics and Gynaecology, Cochrane Menstrual Disorders and Subfertility Group, Auckland, New Zealand

  • Fredi Kronenberg

    Department of Rehabilitation Medicine, College of Physicians & Surgeons, Columbia University in the City of New York, New York, USA

  • Helen Roberts

    Obstetrics & Gynaecology, Faculty of Medicine and Health Sciences University of Auckland, Auckland, New Zealand

  • John Eden

    Sydney Menopause Centre & Natural Therapies Unit, Royal Hospital for Women, Randwick, Australia

  • Julie Brown

    Obstetrics and Gynaecology, University of Auckland, Auckland, New Zealand

Contributions of authors

Anne Lethaby registered the title, undertook searches, selection of studies, data extraction, quality assessment, data entry and wrote the review.
Julie Brown undertook searches, selection of studies, data extraction, contact with authors, quality assessment and commented on the final version of the review.
Jane Marjoribanks undertook data extraction, quality assessment, preparation of tables and commented on the final version of the review.
Fredi Kronenberg undertook selection of studies, data extraction, quality assessment and commented both on the protocol and the final review.
Helen Roberts provided clinical input and commented on the final version of the review.
John Eden commented on the final version of the review.

Sources of support

Internal sources

  • Department of Obstetrics and Gynaecology, University of Auckland, New Zealand.

External sources

  • No sources of support supplied

Declarations of interest

Anne Lethaby has provided advice and suggestions to the author of the unpublished Brazilian study (Bicca 2004) that has been included in this review. She is included as an author of that unpublished paper.

John Eden is an author of two of the included studies (Knight 1999; Knight 2001).

Acknowledgements

We would like to acknowledge the work of the Trial Search Coordinator, Mrs Haiyan Feng, for the design and implementation of comprehensive search strategies to locate trials for the review. We would also like to thank the Review Group Coordinator, Mrs Jane Clarke, for her assistance in preparing the review for publication.

The following authors of included studies provided additional clarification of data and quality issues: Rod Baber, Marilene Bica, Amnon Brzezinski, Fabien Dalais, Peter Chedraui and Hope Ricciotti.

Version history

Published

Title

Stage

Authors

Version

2013 Dec 10

Phytoestrogens for menopausal vasomotor symptoms

Review

Anne Lethaby, Jane Marjoribanks, Fredi Kronenberg, Helen Roberts, John Eden, Julie Brown

https://doi.org/10.1002/14651858.CD001395.pub4

2007 Oct 17

Phytoestrogens for vasomotor menopausal symptoms

Review

Anne Lethaby, Jane Marjoribanks, Fredi Kronenberg, Helen Roberts, John Eden, Julie Brown

https://doi.org/10.1002/14651858.CD001395.pub3

1999 Jan 25

Phytoestrogens for menopausal symtoms

Protocol

Anne E Lethaby, F Kronenberg, H Roberts, J Eden

https://doi.org/10.1002/14651858.CD001395

1999 Jan 25

Phytoestrogens for menopausal symptoms

Protocol

Anne Lethaby, Fredi Kronenberg, Helen Roberts, John Eden

https://doi.org/10.1002/14651858.CD001395.pub2

PICOs

Population
Intervention
Comparison
Outcome

The PICO model is widely used and taught in evidence-based health care as a strategy for formulating questions and search strategies and for characterizing clinical studies or meta-analyses. PICO stands for four different potential components of a clinical question: Patient, Population or Problem; Intervention; Comparison; Outcome.

See more on using PICO in the Cochrane Handbook.