Prevalence of Polycystic Ovarian Syndrome in India: A Systematic Review and Meta-Analysis
Stein-Leventhal syndrome, often known as polycystic ovarian syndrome (PCOS), is a syndrome that affects women's reproductive health. PCOS is one of the most common endocrine and metabolic disorders in women of reproductive age. The etiology of PCOS remains unknown mainly, and the estimation of...
Gespeichert in:
Veröffentlicht in: | Curēus (Palo Alto, CA) CA), 2022-12, Vol.14 (12), p.e32351 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | 12 |
container_start_page | e32351 |
container_title | Curēus (Palo Alto, CA) |
container_volume | 14 |
creator | Bharali, Mintu Dewri Rajendran, Radhika Goswami, Jayshree Singal, Kusum Rajendran, Vinoth |
description | Stein-Leventhal syndrome, often known as polycystic ovarian syndrome (PCOS), is a syndrome that affects women's reproductive health. PCOS is one of the most common endocrine and metabolic disorders in women of reproductive age. The etiology of PCOS remains unknown mainly, and the estimation of PCOS burden in a specific geographical location will impact disease control strategies. Hence, this study estimated the pooled prevalence of PCOS in Indian women. Databases such as PubMed, CINHAL, Scopus, and Google Scholar were thoroughly searched. Only those published Indian studies that reported the prevalence of PCOS from 2010 to 2021 and had at least one of the following diagnostic PCOS criteria were included in the systematic review: the National Institutes of Health (NIH), Rotterdam's criteria, or/and Androgen Excess Society (AES). MetaXL version 5.3 software was used for data analysis. The risk of bias was assessed using modified Joanna Briggs Institute criteria for cross-sectional studies. Out of 17132 articles, 11 articles were selected for systematic review and meta-analysis. The pooled prevalence of PCOS was 11.33(7.69-15.59) using the random effect. The proportion of Hirsute using the Ferriman-Gallwey score was highly variable, ranging from 1.6% to 37.9% (n=6). The prevalence rate of PCOS is high among Indian women. The pooled prevalence of PCOS was close to 10% using Rotterdam's criteria and AES criteria, while it was 5.8% using NIH criteria. The study's overall finding emphasizes the need for more acceptable and uniform diagnostic criteria for screening PCOS. At the same time, policy-makers should consider giving more importance to PCOS in their effort to control non-communicable diseases. |
doi_str_mv | 10.7759/cureus.32351 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9826643</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2764442828</sourcerecordid><originalsourceid>FETCH-LOGICAL-c2571-21e92968b715d79e047bbf2fec01d47a265bce0a0afa8c9f9495ece19efe78d83</originalsourceid><addsrcrecordid>eNpdkUtv1TAQhS0EolXpjjWyxIYFKbbj-MEC6aqipVJRKx4LVtbEmYCrxC52clH-PTfcUhVWM5r5dGaODiHPOTvRurFv_JxxLie1qBv-iBwKrkxluJGPH_QH5LiUG8YYZ1owzZ6Sg1opYRhvDsm364xbGDB6pKmn12lY_FKm4OnVFnKASD8vsctpRBoivYhdgLd0sxuWCUdYuU-4DfiLQuzoR5yg2kQYlhLKM_Kkh6Hg8V09Il_P3n85_VBdXp1fnG4uKy8azSvB0QqrTKt502mLTOq27UWPnvFOahCqaT0yYNCD8ba30jbokVvsUZvO1Efk3V73dm5H7DzGKcPgbnMYIS8uQXD_bmL44b6nrbNGKCXrncCrO4Gcfs5YJjeG4nEYIGKaixNaSSmFEeutl_-hN2nOO8MrpbkQWqpV8PWe8jmVkrG_f4Yzt8bm9rG5P7Ht8BcPDdzDf0OqfwMrg5UZ</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2771227463</pqid></control><display><type>article</type><title>Prevalence of Polycystic Ovarian Syndrome in India: A Systematic Review and Meta-Analysis</title><source>PubMed Central Open Access</source><source>PubMed Central</source><creator>Bharali, Mintu Dewri ; Rajendran, Radhika ; Goswami, Jayshree ; Singal, Kusum ; Rajendran, Vinoth</creator><creatorcontrib>Bharali, Mintu Dewri ; Rajendran, Radhika ; Goswami, Jayshree ; Singal, Kusum ; Rajendran, Vinoth</creatorcontrib><description>Stein-Leventhal syndrome, often known as polycystic ovarian syndrome (PCOS), is a syndrome that affects women's reproductive health. PCOS is one of the most common endocrine and metabolic disorders in women of reproductive age. The etiology of PCOS remains unknown mainly, and the estimation of PCOS burden in a specific geographical location will impact disease control strategies. Hence, this study estimated the pooled prevalence of PCOS in Indian women. Databases such as PubMed, CINHAL, Scopus, and Google Scholar were thoroughly searched. Only those published Indian studies that reported the prevalence of PCOS from 2010 to 2021 and had at least one of the following diagnostic PCOS criteria were included in the systematic review: the National Institutes of Health (NIH), Rotterdam's criteria, or/and Androgen Excess Society (AES). MetaXL version 5.3 software was used for data analysis. The risk of bias was assessed using modified Joanna Briggs Institute criteria for cross-sectional studies. Out of 17132 articles, 11 articles were selected for systematic review and meta-analysis. The pooled prevalence of PCOS was 11.33(7.69-15.59) using the random effect. The proportion of Hirsute using the Ferriman-Gallwey score was highly variable, ranging from 1.6% to 37.9% (n=6). The prevalence rate of PCOS is high among Indian women. The pooled prevalence of PCOS was close to 10% using Rotterdam's criteria and AES criteria, while it was 5.8% using NIH criteria. The study's overall finding emphasizes the need for more acceptable and uniform diagnostic criteria for screening PCOS. At the same time, policy-makers should consider giving more importance to PCOS in their effort to control non-communicable diseases.</description><identifier>ISSN: 2168-8184</identifier><identifier>EISSN: 2168-8184</identifier><identifier>DOI: 10.7759/cureus.32351</identifier><identifier>PMID: 36628015</identifier><language>eng</language><publisher>United States: Cureus Inc</publisher><subject>Androgens ; Bias ; Data analysis ; Endocrinology/Diabetes/Metabolism ; Epidemiology/Public Health ; Infertility ; Menstruation ; Meta-analysis ; Metabolism ; Obstetrics/Gynecology ; Ovaries ; Polycystic ovary syndrome ; Reproductive health ; Systematic review ; Womens health</subject><ispartof>Curēus (Palo Alto, CA), 2022-12, Vol.14 (12), p.e32351</ispartof><rights>Copyright © 2022, Bharali et al.</rights><rights>Copyright © 2022, Bharali et al. This work is published under https://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Copyright © 2022, Bharali et al. 2022 Bharali et al.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c2571-21e92968b715d79e047bbf2fec01d47a265bce0a0afa8c9f9495ece19efe78d83</citedby><cites>FETCH-LOGICAL-c2571-21e92968b715d79e047bbf2fec01d47a265bce0a0afa8c9f9495ece19efe78d83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9826643/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9826643/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,728,781,785,886,27929,27930,53796,53798</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36628015$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bharali, Mintu Dewri</creatorcontrib><creatorcontrib>Rajendran, Radhika</creatorcontrib><creatorcontrib>Goswami, Jayshree</creatorcontrib><creatorcontrib>Singal, Kusum</creatorcontrib><creatorcontrib>Rajendran, Vinoth</creatorcontrib><title>Prevalence of Polycystic Ovarian Syndrome in India: A Systematic Review and Meta-Analysis</title><title>Curēus (Palo Alto, CA)</title><addtitle>Cureus</addtitle><description>Stein-Leventhal syndrome, often known as polycystic ovarian syndrome (PCOS), is a syndrome that affects women's reproductive health. PCOS is one of the most common endocrine and metabolic disorders in women of reproductive age. The etiology of PCOS remains unknown mainly, and the estimation of PCOS burden in a specific geographical location will impact disease control strategies. Hence, this study estimated the pooled prevalence of PCOS in Indian women. Databases such as PubMed, CINHAL, Scopus, and Google Scholar were thoroughly searched. Only those published Indian studies that reported the prevalence of PCOS from 2010 to 2021 and had at least one of the following diagnostic PCOS criteria were included in the systematic review: the National Institutes of Health (NIH), Rotterdam's criteria, or/and Androgen Excess Society (AES). MetaXL version 5.3 software was used for data analysis. The risk of bias was assessed using modified Joanna Briggs Institute criteria for cross-sectional studies. Out of 17132 articles, 11 articles were selected for systematic review and meta-analysis. The pooled prevalence of PCOS was 11.33(7.69-15.59) using the random effect. The proportion of Hirsute using the Ferriman-Gallwey score was highly variable, ranging from 1.6% to 37.9% (n=6). The prevalence rate of PCOS is high among Indian women. The pooled prevalence of PCOS was close to 10% using Rotterdam's criteria and AES criteria, while it was 5.8% using NIH criteria. The study's overall finding emphasizes the need for more acceptable and uniform diagnostic criteria for screening PCOS. At the same time, policy-makers should consider giving more importance to PCOS in their effort to control non-communicable diseases.</description><subject>Androgens</subject><subject>Bias</subject><subject>Data analysis</subject><subject>Endocrinology/Diabetes/Metabolism</subject><subject>Epidemiology/Public Health</subject><subject>Infertility</subject><subject>Menstruation</subject><subject>Meta-analysis</subject><subject>Metabolism</subject><subject>Obstetrics/Gynecology</subject><subject>Ovaries</subject><subject>Polycystic ovary syndrome</subject><subject>Reproductive health</subject><subject>Systematic review</subject><subject>Womens health</subject><issn>2168-8184</issn><issn>2168-8184</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpdkUtv1TAQhS0EolXpjjWyxIYFKbbj-MEC6aqipVJRKx4LVtbEmYCrxC52clH-PTfcUhVWM5r5dGaODiHPOTvRurFv_JxxLie1qBv-iBwKrkxluJGPH_QH5LiUG8YYZ1owzZ6Sg1opYRhvDsm364xbGDB6pKmn12lY_FKm4OnVFnKASD8vsctpRBoivYhdgLd0sxuWCUdYuU-4DfiLQuzoR5yg2kQYlhLKM_Kkh6Hg8V09Il_P3n85_VBdXp1fnG4uKy8azSvB0QqrTKt502mLTOq27UWPnvFOahCqaT0yYNCD8ba30jbokVvsUZvO1Efk3V73dm5H7DzGKcPgbnMYIS8uQXD_bmL44b6nrbNGKCXrncCrO4Gcfs5YJjeG4nEYIGKaixNaSSmFEeutl_-hN2nOO8MrpbkQWqpV8PWe8jmVkrG_f4Yzt8bm9rG5P7Ht8BcPDdzDf0OqfwMrg5UZ</recordid><startdate>20221209</startdate><enddate>20221209</enddate><creator>Bharali, Mintu Dewri</creator><creator>Rajendran, Radhika</creator><creator>Goswami, Jayshree</creator><creator>Singal, Kusum</creator><creator>Rajendran, Vinoth</creator><general>Cureus Inc</general><general>Cureus</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20221209</creationdate><title>Prevalence of Polycystic Ovarian Syndrome in India: A Systematic Review and Meta-Analysis</title><author>Bharali, Mintu Dewri ; Rajendran, Radhika ; Goswami, Jayshree ; Singal, Kusum ; Rajendran, Vinoth</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2571-21e92968b715d79e047bbf2fec01d47a265bce0a0afa8c9f9495ece19efe78d83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Androgens</topic><topic>Bias</topic><topic>Data analysis</topic><topic>Endocrinology/Diabetes/Metabolism</topic><topic>Epidemiology/Public Health</topic><topic>Infertility</topic><topic>Menstruation</topic><topic>Meta-analysis</topic><topic>Metabolism</topic><topic>Obstetrics/Gynecology</topic><topic>Ovaries</topic><topic>Polycystic ovary syndrome</topic><topic>Reproductive health</topic><topic>Systematic review</topic><topic>Womens health</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bharali, Mintu Dewri</creatorcontrib><creatorcontrib>Rajendran, Radhika</creatorcontrib><creatorcontrib>Goswami, Jayshree</creatorcontrib><creatorcontrib>Singal, Kusum</creatorcontrib><creatorcontrib>Rajendran, Vinoth</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Curēus (Palo Alto, CA)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bharali, Mintu Dewri</au><au>Rajendran, Radhika</au><au>Goswami, Jayshree</au><au>Singal, Kusum</au><au>Rajendran, Vinoth</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prevalence of Polycystic Ovarian Syndrome in India: A Systematic Review and Meta-Analysis</atitle><jtitle>Curēus (Palo Alto, CA)</jtitle><addtitle>Cureus</addtitle><date>2022-12-09</date><risdate>2022</risdate><volume>14</volume><issue>12</issue><spage>e32351</spage><pages>e32351-</pages><issn>2168-8184</issn><eissn>2168-8184</eissn><abstract>Stein-Leventhal syndrome, often known as polycystic ovarian syndrome (PCOS), is a syndrome that affects women's reproductive health. PCOS is one of the most common endocrine and metabolic disorders in women of reproductive age. The etiology of PCOS remains unknown mainly, and the estimation of PCOS burden in a specific geographical location will impact disease control strategies. Hence, this study estimated the pooled prevalence of PCOS in Indian women. Databases such as PubMed, CINHAL, Scopus, and Google Scholar were thoroughly searched. Only those published Indian studies that reported the prevalence of PCOS from 2010 to 2021 and had at least one of the following diagnostic PCOS criteria were included in the systematic review: the National Institutes of Health (NIH), Rotterdam's criteria, or/and Androgen Excess Society (AES). MetaXL version 5.3 software was used for data analysis. The risk of bias was assessed using modified Joanna Briggs Institute criteria for cross-sectional studies. Out of 17132 articles, 11 articles were selected for systematic review and meta-analysis. The pooled prevalence of PCOS was 11.33(7.69-15.59) using the random effect. The proportion of Hirsute using the Ferriman-Gallwey score was highly variable, ranging from 1.6% to 37.9% (n=6). The prevalence rate of PCOS is high among Indian women. The pooled prevalence of PCOS was close to 10% using Rotterdam's criteria and AES criteria, while it was 5.8% using NIH criteria. The study's overall finding emphasizes the need for more acceptable and uniform diagnostic criteria for screening PCOS. At the same time, policy-makers should consider giving more importance to PCOS in their effort to control non-communicable diseases.</abstract><cop>United States</cop><pub>Cureus Inc</pub><pmid>36628015</pmid><doi>10.7759/cureus.32351</doi><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2168-8184 |
ispartof | Curēus (Palo Alto, CA), 2022-12, Vol.14 (12), p.e32351 |
issn | 2168-8184 2168-8184 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9826643 |
source | PubMed Central Open Access; PubMed Central |
subjects | Androgens Bias Data analysis Endocrinology/Diabetes/Metabolism Epidemiology/Public Health Infertility Menstruation Meta-analysis Metabolism Obstetrics/Gynecology Ovaries Polycystic ovary syndrome Reproductive health Systematic review Womens health |
title | Prevalence of Polycystic Ovarian Syndrome in India: A Systematic Review and Meta-Analysis |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-15T18%3A19%3A49IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Prevalence%20of%20Polycystic%20Ovarian%20Syndrome%20in%20India:%20A%20Systematic%20Review%20and%20Meta-Analysis&rft.jtitle=Cur%C4%93us%20(Palo%20Alto,%20CA)&rft.au=Bharali,%20Mintu%20Dewri&rft.date=2022-12-09&rft.volume=14&rft.issue=12&rft.spage=e32351&rft.pages=e32351-&rft.issn=2168-8184&rft.eissn=2168-8184&rft_id=info:doi/10.7759/cureus.32351&rft_dat=%3Cproquest_pubme%3E2764442828%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2771227463&rft_id=info:pmid/36628015&rfr_iscdi=true |