Evidence map›Paper›PMID 22994194›Full record

ArticleAmerican journal of public health2012

HIV/AIDS surveillance data for New York City West Indian-born Blacks: comparisons with other immigrant and US-born groups.

Susie Hoffman, Yusuf Ransome, Jessica Adams-Skinner, Cheng-Shiun Leu, Arpi Terzian

Abstract readComparative Study
In one paragraph

Article in American journal of public health, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Susie HoffmanHIV Center for Clinical and Behavioral Studies at the New York State Psychiatric Institute and Columbia University, 1051 Riverside Dr., Unit 15, New York, NY 10032, USA. sh51@columbia.edu
Yusuf Ransome
Jessica Adams-Skinner
Cheng-Shiun Leu
Arpi Terzian

Funding

The Statistics, Data Science, and Data Management (SDM) CoreP30MH043520 · NIMH · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI MILTON L WAINBERG · 2003 to 2026
$48.2M
NIGMS NIH HHS 2R25GM62434-06NIMH NIH HHS P30 MH043520NIMH NIH HHS P30 MH43520
6 · The paper itself

Abstract

objectivesAlthough the risk of HIV among New York City West Indian-born Black immigrants often is assumed to be high, population-based data are lacking, a gap we aimed to address.

methodsUsing 2006-2007 HIV/AIDS surveillance data from the New York City Department of Health and Mental Hygiene and population data from the US Census American Community Survey 2007, we compared the rate of newly reported HIV diagnoses, prevalence of people living with HIV/AIDS, and distribution of transmission risk categories in West Indian-born Blacks, 2 other immigrant groups, and US-born Blacks and Whites.

resultsThe age-adjusted rate of newly reported HIV diagnoses for West Indian-born Blacks was 43.19 per 100 000 (95% confidence interval [CI] = 38.92, 49.10). This was higher than the rate among US-born Whites (19.96; 95% CI = 18.63, 21.37) and Dominican immigrants and lower than that among US-born Blacks (109.48; 95% CI = 105.02, 114.10) and Haitian immigrants. Heterosexual transmission was the largest risk category in West Indian-born Blacks, accounting for 41% of new diagnoses.

conclusionsAlthough much lower than in US-born Blacks, the rate of newly reported HIV diagnoses in West Indian-born Blacks exceeds that among US-born Whites. Additional work is needed to understand the migration-related sources of risk.

Indexed as

Black or African AmericanBlack PeopleChi-Square DistributionDominican RepublicEmigrants and ImmigrantsFemaleHaitiHIV InfectionsHumansMaleNew York CityOdds RatioPopulation SurveillancePrevalenceRisk FactorsUnited States

Identifiers

PMID22994194
PMCPMC3477934

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.