Evidence map›Paper›PMID 26332197›Full record

ArticleAIDS care2016

A county-level analysis of persons living with HIV in the southern United States.

Simone C Gray, Tyler Massaro, Isabel Chen, Christina J Edholm, Rachel Grotheer, Yiqiang Zheng, Howard H Chang

Abstract read
In one paragraph

Article in AIDS care, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
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  8. Article
  9. Young People and HIV: A Call to Action.American journal of public health · 2016
    Article
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

7 authors.

Simone C Graya Division of HIV/AIDS and Prevention, Centers for Disease Control and Prevention , Atlanta , GA , USA.
Tyler Massarob Department of Mathematics , The University of Tennessee , Knoxville , TN , USA.
Isabel Chenc Department of Mathematics , Emory University , Atlanta , GA , USA.
Christina J Edholmd Department of Mathematics , University of Nebraska-Lincoln , Lincoln , NE , USA.
Rachel Grotheere Department of Mathematical Sciences , Clemson University , Clemson , SC , USA.
Yiqiang Zhengf Department of Mathematics , Purdue University , West Lafayette , IN , USA.
Howard H Changh Department of Biostatistics and Bioinformatics , Rollins School of Public Health, Emory University , Atlanta , GA , USA.

Funding

Indiana Clinical and Translational Sciences InstituteUL1TR001108 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI DENNE, SCOTT C., SHEKHAR, ANANTHA · 2013 to 2017
$23.3M
Intramural CDC HHS CC999999NCATS NIH HHS UL1 TR001108
6 · The paper itself

Abstract

This study uses county-level surveillance data to systematically analyze geographic variation and clustering of persons living with diagnosed HIV (PLWH) in the southern United States in 2011. Clusters corresponding to large metropolitan areas - including Miami, Atlanta, and Baltimore - had HIV prevalence rates higher (p < .001) than the regional rate. Regression analysis within the counties included in these clusters determined that race was a significant indicator for PLWH. These results provide a general picture of the distribution of PLWH in the southern United States at the county level and provide insights for identifying local geographic areas with a high number of PLWH, as well as subpopulations that may have an increased risk of infection.

Indexed as

BaltimoreHIV InfectionsHumansPrevalenceRacial GroupsUnited StatesAmerican SouthclustersHIVrace/ethnicitysocioeconomic status

Identifiers

PMID26332197
PMCPMC4724318

What OpenQuestion holds

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Registered trials

None linked

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.