| Literature DB >> 23332005 |
Don C Des Jarlais1, Jonathan P Feelemyer, Shilpa N Modi, Abu Abdul-Quader, Holly Hagan.
Abstract
BACKGROUND: Persons who inject drugs (PWID) are at an elevated risk for human immunodeficiency virus (HIV) and hepatitis C virus (HCV) infection. In many high-income countries, needle and syringe exchange programs (NSP) have been associated with reductions in blood-borne infections. However, we do not have a good understanding of the effectiveness of NSP in low/middle-income and transitional-economy countries.Entities:
Mesh:
Year: 2013 PMID: 23332005 PMCID: PMC3567947 DOI: 10.1186/1471-2458-13-53
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Figure 1Search terms and terminology used for retrieval of eligible citations and reports. This figure displays the terminology used to search for relevant studies. Keyword and subject terms were retrieved from previous research of systematic reviews on similar HIV/HCV topics among PWID.
Figure 2PRISMA diagram of eligible studies included in review. This figure displays the methodology of review of literature from databases included in the review. The PRISMA diagram outlines how the research team arrived at the eligible study list utilized in this review.
Summary of primary studies with HIV/HCV biomarkers
| Gray 1998 [ | Chiang Rai, Thailand | Time Series Cross Sectional | 150-160 | 1993 | 46 | 33% | | | | 1996 | 132 | 18% (15%) | | | |
| Caiaffa 2003 [ | Porto Alegre, Brazil | Pre-Post Study Comparison | 6-20 | 1998 | 137 | 49% | | | | 2001 | 255 | 64.3% (+16%) | | | |
| Wu 2007 [ | Dagou, China | Pre-Post Study Comparison | 290-300 | 2002 | 235 | 40% | 99% | | | 2003 | 226 | 34% (6%) | 89% (10%) | | |
| Luzhai, China | Pre-Post Study Comparison | 140-150 | 2002 | 194 | 56% | 89% | | | 2003 | 219 | 53% (3%) | 85% (4%) | | | |
| Azim 2008 [ | Dhaka, Bangladesh | Time Series Cross Sectional | 285-344 | 1990 | 418 | 2% | 67% | | | 2006 | 1092 | 7% (+5%) | 57% (10%) | | |
| Azim 2009 [ | Dhaka, Bangladesh | Time Series Cross Sectional | 285-344 | 1999 | 418 | | | | 1.2/100 PY | 2007 | 1045 | | | | 1.3/100 PY |
| Uuskula 2011 [ | Tallinn, Estonia | Time Series Cross Sectional | 23-78 | 2005 | 350 | 54% | | 20.9/100 PY | | 2009 | 327 | 50% (4%) | | 9/100 PY | |
| Hammett 2012 [ | Ning Ming, China | Time Series Cross Sectional | 20-30 | 2002 | 290 | 17% | | 12/100 PY | | 2008 | 187 | 11% (6%) | | 11/100 PY | |
| Lang Son, Vietnam | Time Series Cross Sectional | 20-30 | 2002 | 342 | 46% | 22/100 PY | 2009 | 185 | 23% (23%) | 3/100 PY | |||||
1. Syringes per PWID/Year are given as a range based on the first and last date of data collection in each primary study location.
2. Among new PWID (persons who had begun injecting in the previous 3 years, assumed to be HIV negative when they began injecting).
3. Post Implementation columns include follow-up biomarker information in addition to the difference from baseline to follow-up.
Summary of National Surveillance Data of HIV Biomarkers
| CDC 2007 [ | Iran | National Surveillance Data | 4-41 | 2003 | 2332 | 2007 | 426 (82%) |
| Astrauskiene 2010 [ | Lithuania | National Surveillance Data | 56-98 | 2005 | 85 | 2009 | 117 (+38%) |
| CDC 2010 [ | Taiwan | National Surveillance Data | 7-67 | 2006 | 1693 | 2010 | 114 (93%) |
| Hammett 2010 [ | Vietnam | National Surveillance Data | 9-52 | 2005 | 11358 | 2009 | 7947 (30%) |
1. Syringes per PWID/Year are given as a range based on the first and last date of data collection in respective study.
2. Post Implementation columns include follow-up biomarker information in addition to the difference from baseline to follow-up.