| Literature DB >> 24286556 |
Matthew B Platt1, Manu O Platt.
Abstract
INTRODUCTION: From the travel ban on people living with HIV (PLHIV) to resistance to needle exchange programmes, there are many examples where policy responses to HIV/AIDS in the United States seem divorced from behavioural, public health and sociological evidence. At its root, however, the unknowns about HIV/AIDS lie at biomedical science, and scientific researchers have made tremendous progress over the past 30 years of the epidemic by using antiretroviral therapy to increase the life expectancy of PLHIV almost to the same level as non-infected individuals; but a relationship between biomedical science discoveries and congressional responses to HIV/AIDS has not been studied. Using quantitative approaches, we directly examine the hypothesis that progress in HIV/AIDS biomedical science discoveries would have a correlative relationship with congressional response to HIV/AIDS from 1981 to 2010.Entities:
Keywords: PEPFAR; agenda setting; bill sponsorship; bipartisan policy
Mesh:
Year: 2013 PMID: 24286556 PMCID: PMC3843110 DOI: 10.7448/IAS.16.1.18446
Source DB: PubMed Journal: J Int AIDS Soc ISSN: 1758-2652 Impact factor: 5.396
Biomedical journals with the highest impact factors and top-cited publications for HIV/AIDS research
| Impact rank | Journal title | Impact factor |
|---|---|---|
| 3 |
| 53.5 |
| 8 |
| 36.4 |
| 9 |
| 36.1 |
| 11 |
| 33.6 |
| 14 |
| 32.4 |
| 15 |
| 31.4 |
| 18 |
| 30.0 |
| 31 |
| 25.7 |
| 32 |
| 25.4 |
| 45 |
| 19.4 |
| 58 |
| 16.7 |
| 63 |
| 15.6 |
| 69 |
| 14.8 |
| 76 |
| 14.2 |
| 91 |
| 12.9 |
| 96 |
| 12.5 |
| 124 |
| 10.6 |
| 151 |
| 9.8 |
| 214 |
| 8.2 |
| 312 |
| 6.3 |
| 384 |
| 5.7 |
| 427 |
| 5.3 |
| 456 |
| 5.2 |
Figure 1Aggregate data of five major variables used as metrics for attention to HIV/AIDS in the scientific literature, in the US Congress and in the popular press. Databases on scientific publications, congressional hearings, bill sponsorship and New York Times articles were searched to compile data on annual numbers of each during the time period of 1981–2010, and they were plotted with the number of each for each year: (A) Bills introduced, (B) hearings held, (C) laws passed, (D) major scientific papers published and (E) New York Times articles published.
Most cited HIV/AIDS paper of each year from 1986 to 2011 with HIV/AIDS as a keyword and search term
| Year | First author | Title | Journal | Times cited |
|---|---|---|---|---|
| 1986 | Walker, CM | Lymphocytes-CD8+ can control HIV-infection in vitro by suppressing virus-replication |
| 922 |
| 1987 | Folks, TM | Cytokine-induced expression of HIV-1 in a chronically infected promonocyte cell-line |
| 761 |
| 1988 | Pauwels, R | Rapid and automated tetrazolium-based colorimetric assay for the detection of anti-HIV compounds |
| 1197 |
| 1989 | Larder, BA | HIV with reduced sensitivity to zidovudine (AZT) isolated during prolonged therapy |
| 1492 |
| 1990 | Zack, JA | HIV-1 entry into quiescent primary lymphocytes – molecular analysis reveals a labile, latent viral structure |
| 1176 |
| 1991 | Schreck, R | Reactive oxygen intermediates as apparently widely used messengers in the activation of the NFκB and HIV-1 |
| 2855 |
| 1992 | Kohlstaedt, LA | Crystal-structure at 3.5 angstrom resolution of HIV-1 reverse-transcriptase complexed with an inhibitor |
| 1464 |
| 1993 | Pantaleo, G | HIV-infection is active and progressive in lymphoid-tissue during the clinically latent stage of disease |
| 1515 |
| 1994 | Connor, EM | Reduction of maternal-infant transmission of human-immunodeficiency-virus type-1 with zidovudine treatment |
| 2112 |
| 1995 | Ho, DD | Rapid turnover of plasma virions and CD4 lymphocytes in HIV-1 infection |
| 3073 |
| 1996 | Heid, CA | Real time quantitative PCR |
| 3376 |
| 1997 | Murray, CJL | Alternative projections of mortality and disability by cause 1990–2020: global burden of disease study |
| 2407 |
| 1998 | Palella, FJ | Declining morbidity and mortality among patients with advanced human immunodeficiency virus infection |
| 4942 |
| 1999 | Schmitz, JE | Control of viremia in simian immunodeficiency virus infection by CD8(+) lymphocytes |
| 1372 |
| 2000 | Paterson, DL | Adherence to protease inhibitor therapy and outcomes in patients with HIV infection |
| 1421 |
| 2001 | Garrus, JE | Tsg101 and the vacuolar protein sorting pathway are essential for HIV-1 budding |
| 721 |
| 2002 | Sheehy, AM | Isolation of a human gene that inhibits HIV-1 infection and is suppressed by the viral Vif protein |
| 929 |
| 2003 | Wei, XP | Antibody neutralization and escape by HIV-1 |
| 922 |
| 2004 | Stremlau, M | The cytoplasmic body component TRIM5 alpha restricts HIV-1 infection in Old World monkeys |
| 692 |
| 2005 | Mattapallil, JJ | Massive infection and loss of memory CD4(+) T cells in multiple tissues during acute SIV infection |
| 590 |
| 2006 | Lopez, AD | Global and regional burden of disease and risk factors, 2001: systematic analysis of population health data |
| 1161 |
| 2007 | Gray, RH | Male circumcision for HIV prevention in men in Rakai, Uganda: a randomised trial |
| 522 |
| 2008 | Jones, KE | Global trends in emerging infectious diseases |
| 481 |
| 2009 | Rerks-Ngarm, S | Vaccination with ALVAC and AIDSVAX to prevent HIV-1 infection in Thailand |
| 457 |
| 2010 | Karim, QA | Effectiveness and safety of tenofovir gel, an antiretroviral microbicide, for the prevention of HIV infection in women |
| 271 |
| 2011 | Cohen, MS | Prevention of HIV-1 infection with early antiretroviral therapy |
| 147 |
Members of the US Congress are more likely to introduce HIV/AIDS bills when there have been more major scientific papers published
| Variables | Bill sponsorship | Hearings | Laws |
|---|---|---|---|
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| 0.305 | 0.091 | 0.034 | |
|
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| |
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| 0.221 | |||
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| 0.293 | |||
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| 0.196 | |||
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| 0.011 | 0.007 | 0.001 | |
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| 5.449 | 1.987 | 0.718 | |
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| 8.594 | 3.212 | 1.173 | |
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Effects that major scientific papers about HIV/AIDS had on sponsoring bills, holding hearings and passing laws were estimated as a VAR(1) process. The coefficients from that estimation are presented in Table 3 in boldface, along with the standard errors in roman type and the p-values in italics. When there are more major scientific papers published on HIV/AIDS and/or there are more news articles about HIV/AIDS, then there should be more HIV/AIDS bills introduced in Congress the following year.
Independent variables’ effect on the probability of an individual US Congress member introducing HIV/AIDS legislation
| Variables | Change in probability | 95% confidence interval | House results | Senate results |
|---|---|---|---|---|
| 0.7% | [0.5%, 0.9%] | 0.6% [0.4, 0.9] | 1.0% [0.5, 1.6] | |
| −2% | [−2.8%, −1.2%] | −2.2% [−3.4, −1.3] | −1.9% [−4.1, −0.4] | |
| −2.5% | [−3.7%, −1.6%] | −2.8% [−4.3, −1.7] | −2.2% [−5.2, −0.03] | |
| 1.1% | [0.1%, 2.3%] | 2.3% [0.9, 4.3] | −0.7% [−2.6, 1.4] | |
| Black | 0.1% | [−1.1%, 1.6%] | 0.5% [−0.8, 2.0] | 7.9% [−4.7, 64] |
| 2.1% | [1.2%, 3.2%] | 3.2% [1.9, 4.8] | 1.0% [−0.5, 2.9] | |
| 2.3% | [1.6%, 3.0%] | 1.8% [1.2, 2.6] | 2.5% [1.4, 4.1] | |
| 2% | [1.4%, 2.9%] | 1.4% [0.8, 2.2] | 3.4% [1.6, 5.6] | |
| Major events | 1.1% | [−0.02%, 2.3%] | 1.0% [−0.4, 2.5] | 1.4% [−1.1, 4.4] |
Predicted change in the probability of the variable (given in each row) to effect change in an individual Congress member to introduce an HIV/AIDS bill was derived from multilevel logistic regression. 95% confidence intervals are shown as well. If the confidence interval does not contain zero, then the predicted change is statistically significant.
Denotes statistical significance. The first two columns are for the full data set that combines the House and Senate. The last two columns show separate results for House members and Senate members, respectively.
Figure 2Biomedical breakthroughs and liberal ideology increase sponsorship of HIV/AIDS bills. Predicted probabilities derived from multilevel logistic regression on individual-level bill sponsorship of HIV/AIDS legislation: (A) The probability of introducing a bill on HIV/AIDS as the number of scientific breakthroughs increases; and (B) the probability of introducing a bill on HIV/AIDS as ideology moves from liberal to conservative.
Figure 3Major scientific breakthrough publications categorized by topic for each year compared to the total number of HIV/AIDS articles published. The top 500 most-cited papers were categorized according to (A) identification, (B) pathogenesis, (C) transmission, (D) medication and treatment and (E) cure. Total numbers of papers published per year were calculated and plotted.
Figure 4Changes in the composition of the HIV/AIDS congressional agenda over 30 years of the epidemic. All HIV/AIDS bills introduced in Congress from 1981 to 2010 were coded according to subjects and tabulated.
Figure 5Increased sponsorship of HIV/AIDS bills by Republicans over time. Individual congress members’ introductions of HIV/AIDS bills were tabulated based on party affiliation. Arrow indicates the 1994 midterm elections, which led to a shift from mostly Democrat to more bipartisan contributions.
Liberal California Democrats are the most active regarding HIV/AIDS in Congress
| Name | No. of HIV bills | Ideology | Party |
|---|---|---|---|
| Henry Waxman | 35 | −0.514 | Democrat |
| Ted Kennedy | 30 | −0.479 | Democrat |
| Barbara Lee | 17 | −0.743 | Democrat |
| Maxine Waters | 16 | −0.713 | Democrat |
| Henry Hyde | 13 | 0.313 | Republican |
| William Dannemeyer | 13 | 0.689 | Republican |
| Nancy Pelosi | 12 | −0.551 | Democrat |
| Arlen Specter | 11 | 0.070 | Republican |
| James McDermott | 11 | −0.717 | Democrat |
| James Walsh | 11 | 0.200 | Republican |
This table lists the 10 members of Congress (MCs) who introduced the highest number of HIV/AIDS bills during the period of our study. The columns show the total number of HIV/AIDS bills introduced, the ideology of the MC as measured by common space NOMINATE scores (−1 is the most liberal and +1 is the most conservative) and the party affiliation.