| Literature DB >> 32977797 |
Mohammad Farahmand1, Mohsen Moghoofei2, Abolfazl Dorost3, Saeedeh Abbasi4, Seyed Hamidreza Monavari4, Seyed Jalal Kiani4, Ahmad Tavakoli5,6.
Abstract
BACKGROUND: Female sex workers (FSWs) are amongst the most susceptible groups to acquire human papillomavirus (HPV) infection and consequently, to develop cervical intraepithelial neoplasia and cervical cancer. This is the first systematic review and meta-analysis to provide estimates of the pooled prevalence of HPV infection and the distribution of HPV types among FSWs across the world.Entities:
Keywords: Epidemiology; Female sex workers; HPV; Human papillomavirus; Meta-analysis; Prostitution
Mesh:
Year: 2020 PMID: 32977797 PMCID: PMC7519561 DOI: 10.1186/s12889-020-09570-z
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Fig. 1Flowchart presenting the steps of literature search and selection
The characteristics of all eligible studies in this systematic review and meta-analysis
| Author [Ref.] | Publication Year | Study location | Total sample size | No. HPV positive |
|---|---|---|---|---|
| Velazquez-Hernandez [ | 2019 | Mexico | 217 | 12 |
| Diop-Ndiaye [ | 2019 | Senegal | 436 | 348 |
| Ferre [ | 2019 | Togo | 310 | 140 |
| Lockhart [ | 2019 | Kenya | 344 | 97 |
| Adams [ | 2019 | Ghana | 100 | 26 |
| Shahesmaeili [ | 2018 | Iran | 1318 | 552 |
| Muñoz-Ramírez [ | 2018 | Mexico | 105 | 6 |
| Hooi [ | 2018 | Curaçao | 76 | 19 |
| Richards [ | 2018 | Dominican Republic | 143 | 62 |
| Bui [ | 2018 | Cambodia | 200 | 94 |
| Cameron [ | 2018 | Kenya | 330 | 97 |
| Nasirian [ | 2017 | Iran | 99 | 7 |
| Marra [ | 2017 | Netherlands | 304 | 238 |
| Vorsters [ | 2016 | Belgium | 1334 | 556 |
| Menon [ | 2016 | Kenya | 616 | 357 |
| Singh [ | 2016 | India | 120 | 33 |
| Leaungwutiwong [ | 2015 | Thailand | 100 | 13 |
| Jia [ | 2015 | China | 309 | 191 |
| Gomih-Alakija [ | 2014 | Kenya | 349 | 103 |
| Aho [ | 2014 | Guinea | 223 | 27 |
| Wang [ | 2013 | China | 288 | 192 |
| Patel [ | 2013 | Kenya | 296 | 195 |
| Marek [ | 2013 | Hungary | 34 | 28 |
| Hoang [ | 2013 | Vietnam | 281 | 139 |
| Ersan [ | 2013 | Turkey | 239 | 48 |
| Yin [ | 2013 | China | 802 | 309 |
| Keten [ | 2013 | Turkey | 137 | 53 |
| Li [ | 2012 | China | 810 | 315 |
| Ghosh [ | 2012 | India | 45 | 35 |
| Couture [ | 2012 | Cambodia | 220 | 90 |
| Brown [ | 2012 | Peru | 199 | 133 |
| Shikova [ | 2011 | Bulgaria | 106 | 46 |
| Matsushita [ | 2011 | Japan | 196 | 103 |
| Dal Pogetto [ | 2011 | Brazil | 102 | 46 |
| Znazen [ | 2010 | Tunisia | 188 | 83 |
| Smith [ | 2010 | Madagascar | 90 | 33 |
| Luchters [ | 2010 | Kenya | 776 | 429 |
| Rhee [ | 2010 | South Korea | 2308 | 939 |
| Valle’s [ | 2009 | Guatemala | 297 | 200 |
| Miyashita [ | 2009 | Philippines | 369 | 211 |
| del Amo [ | 2009 | Spain | 549 | 169 |
| Sultana [ | 2008 | Bangladesh | 293 | 222 |
| Sarkar [ | 2008 | India | 229 | 58 |
| Hernandez [ | 2008 | Vietnam | 282 | 239 |
| Yun [ | 2008 | South Korea | 188 | 157 |
| Gazi [ | 2008 | Turkey | 124 | 12 |
| Didelot-Rousseau [ | 2006 | Burkina Faso | 360 | 238 |
| Chandeying [ | 2006 | Thailand | 524 | 120 |
| De Marco [ | 2006 | Tunisia | 64 | 28 |
| del Amo [ | 2005 | Spain | 734 | 283 |
| Canadas [ | 2004 | Spain | 187 | 52 |
| Baay [ | 2004 | Belgium | 61 | 19 |
| Mak [ | 2004 | Belgium | 99 | 72 |
| Tideman [ | 2003 | Australia | 288 | 91 |
| Choi [ | 2003 | South Korea | 417 | 194 |
| Juarez-Figueroa [ | 2001 | Mexico | 495 | 242 |
| Chan [ | 2001 | Singapore | 187 | 27 |
| Kjaer [ | 2000 | Denmark | 182 | 59 |
| Ishi [ | 2000 | Japan | 546 | 307 |
| Langley [ | 1996 | Senegal | 681 | 293 |
| Van Doornum [ | 1993 | Netherlands | 121 | 21 |
| Kreiss [ | 1992 | Kenya | 198 | 66 |
NR Not reported
Fig. 2Forest plot of the prevalence of HPV infection in FSWs, stratified by study year (before and after 2010)
Subgroup analysis of the prevalence of HPV infection in female sex workers
| Characteristics | Categories | No. of Studies | Pooled prevalence (%) (95% CI) | Heterogeneity test | Differences between subgroups; χ |
|---|---|---|---|---|---|
| 61 | 42.6 (38.5–46.7) | 96.9%, | |||
| PCR | 46 | 43.2 (37.8–48.8) | 97.0%, | ||
| Hybridization | 7 | 41.4 (32.4–51.1) | 96.2%, | ||
| PCR-Hybridization | 3 | 40.9 (37.7–44.2) | 58.4%, | ||
| TMA | 4 | 31.8 (26.6–37.6) | 75.0%, | ||
| Cervical | 50 | 41.9 (37.6–46.4) | 96.6%, | ||
| Endocervical | 4 | 31.1 (21.1–43.4) | 92.1%, | ||
| Vaginal | 3 | 68.4 (37.7–88.5) | 99.2%, | ||
| Cervico-vaginal | 2 | 46.2 (40.2–52.2) | 0%, | ||
| L1 gene | 26 | 45.1 (38.0–52.3) | 96.9%, | ||
| E6/E7 mRNA transcripts | 4 | 31.8 (26.6–37.6) | 75.0%, | ||
| E6 gene | 1 | 75.7 (70.5–80.3) | NA, NA | ||
| E6/E7 genes | 1 | 26.0 (18.3–35.4) | NA, NA | ||
| 1992–2009 | 24 | 43.6 (36.1–51.4) | 97%, | ||
| 2010–2019 | 37 | 41.9 (37.2–46.8) | 97%, |
NA Not applicable, PCR Polymerase chain reaction, TMA Transcription-mediated amplification;
† Statistically significant
Fig. 3The global maps are presenting the geographical variations in the prevalence of HPV infection in FSWs. Colors indicate the level of prevalence of HPV infection per country
Fig. 4Prevalence and genotype distribution of genital HPV (high-risk and low-risk) among FSWs