Evidence map›Paper›PMID 23945254›Full record

ArticleJournal of acquired immune deficiency syndromes (1999)2013

Gonorrhea infections diagnosed among persons living with HIV/AIDS: identifying opportunities for integrated prevention services in New York City, Washington, DC, Miami/Dade County, and Arizona.

Melanie M Taylor, Julia A Schillinger, Bruce W Furness, Toye Brewer, Daniel R Newman, Preeti Pathela, Julia Skinner, Sarah Braunstein, Colin Shepard, Tashrik Ahmed and 3 more

Abstract readMulticenter Study
In one paragraph

Article in Journal of acquired immune deficiency syndromes (1999), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 24% of its field
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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Viral loads among young HIV-infected men with early syphilis.Journal of the International Association of Providers of AIDS Care
    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

13 authors at 4 institutions in 3 countries.

Melanie M TaylorDivision of STD Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA. mdt7@cdc.gov
Julia A Schillinger
Bruce W Furness
Toye Brewer
Daniel R Newman
Preeti Pathela
Julia Skinner
Sarah Braunstein
Colin Shepard
Tashrik Ahmed
Angelique Griffin
Susan Blank
Thomas A Peterman
Centers for Disease Control and Prevention · USNew York City Department of Health and Mental Hygiene · USArizona Department of Health Services · USGovernment of the District of Columbia · US

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

: Persons living with HIV/AIDS who acquire new sexually transmitted diseases (STDs) pose a risk for enhanced transmission of both HIV and STDs. To describe the frequency of HIV coinfection among gonorrhea cases (GC), HIV and GC surveillance databases (2000-2008) were cross-matched in New York City (NYC), Washington, DC (DC), Miami/Dade County (MDC), and Arizona (AZ). During 2000-2008, 4.6% (9471/205,689) of reported GCs occurred among persons with previously diagnosed HIV: NYC (5.5%), DC (7.3%), MDC (4%), and AZ (2%). The overall HIV-GC coinfection rates increased over the study period in all 4 sites. Real-time data integration could allow for enhanced prevention among persons with HIV infection and acute STDs.

Indexed as

AdolescentAdultArizonaCoinfectionContact TracingFemaleFloridaGonorrheaHealth Services AccessibilityHIV InfectionsHumansMaleMass ScreeningMiddle AgedNew York CityPopulation Surveillance

Identifiers

PMID23945254
PMCPMC6751563
OpenAlexW2319591166

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.