Evidence map›Paper›PMID 28566241›Full record

ReviewSeminars in diagnostic pathology2017

The global HIV epidemic: What the pathologist needs to know.

Carlos Del Rio

Abstract readReview
In one paragraph

Review in Seminars in diagnostic pathology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
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

1 author.

Carlos Del RioHubert Department of Global Health, Rollins School of Public Health of Emory University, United States; Department of Medicine, Emory University School of Medicine, United States; Emory Center for AIDS Research, United States. Electronic address: cdelrio@emory.edu.

Funding

Virology and Molecular Biomarkers CoreP30AI050409 · NIAID · EMORY UNIVERSITY · PI Ann M Chahroudi, Colleen F Kelley · 2002 to 2026
$74.0M
NIAID NIH HHS P30 AI050409
6 · The paper itself

Abstract

The World Health Organization estimates that at the end of 2015, approximately 36.7 million people were living with HIV worldwide. An estimated 0.8% of adults aged 15-49 years are infected with HIV with women representing a little over half of these infections. The burden of the epidemic varies considerably between regions of the world and within countries. Sub-Saharan Africa is the region of the world with most infections accounting for approximately 70% of people living with HIV. In the United States the number of new infections decreased by 19% between 2005 and 2014 yet, close to 40,000 new infections occurred in 2015 and, as people with HIV live longer and new infections continue, the number of people living with HIV in the US now stands at nearly 1.2 million and continues to rise. Unprecedented funding initiatives for antiretroviral therapy have resulted in coverage of up to 46% of those in need globally. In recent years, studies have demonstrated that HIV-infected persons who are on antiretroviral therapy and suppressed do not transmit HIV thus the United Nations AIDS Program (UNAIDS) initiative of "treatment is prevention". The UNAIDS goals for 2020 are to have diagnosis of 90% of those infected, 90% of those infected will be on treatment and in 90% there will be viral suppression. Of note, for two of the goals, laboratory system strengthening is paramount.

Indexed as

EpidemicsAdultHIV InfectionsHumansPrevalenceAIDSEpidemicGlobalHIV

Identifiers

PMID28566241
PMCPMC5531065

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.