Evidence map›Paper›PMID 31595945›Full record

ReviewAmerican journal of epidemiology2019

The Changing Science of HIV Epidemiology in the United States.

Gypsyamber D'Souza, Elizabeth T Golub, Stephen J Gange

Abstract readReview
In one paragraph

Review in American journal of epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

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

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

  1. Pooled it
  2. Article
  3. Article
  4. Observational
  5. [HIV mortality trends in Mexico, 2000-2022].Revista medica del Instituto Mexicano del Seguro Social · 2024
    Article
  6. Article
  7. Article
  8. Continuous-Time Decision Transformer for Healthcare Applications.Proceedings of machine learning research · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Observational
  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

3 authors.

Gypsyamber D'SouzaDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore MD.
Elizabeth T GolubDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore MD.
Stephen J GangeDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore MD.

Funding

WIHS DATA MANAGEMENT AND ANALYSIS CENTER(WDMAC)U01AI042590 · NIAID · JOHNS HOPKINS UNIVERSITY · PI GANGE, STEPHEN J, GOLUB, ELIZABETH T · 1998 to 2018
$38.4M
Sex differences in the role of multi-omicsin HIV-associated carotid artery atherosclerosisU01HL146193 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI Stephen J Gange, Elizabeth Topper · 2019 to 2026
$35.8M
Center for the Analysis & Management of the Multicenter AIDS Cohort StudyUM1AI035043 · NIAID · JOHNS HOPKINS UNIVERSITY · PI D'SOUZA, GYPSYAMBER, JACOBSON, LISA P · 2012 to 2018
$20.7M
NHLBI NIH HHS U01 HL146193NIAID NIH HHS U01 AI042590NIAID NIH HHS UM1 AI035043
6 · The paper itself

Abstract

In 1984, a large prospective study of the natural history of human immunodeficiency virus (HIV) infection, the Multicenter AIDS Cohort Study (MACS), was established; 10 years later, the Women's Interagency HIV Study (WIHS) was launched. Motivated by the merger and redesign of these long-standing HIV cohort studies in 2019, we review ways in which HIV epidemiology in the United States has transformed over the lives of these studies and how this evolution has influenced planning for enrollment and follow-up. We highlight changes that have occurred in the 3 major domains that are central to epidemiologic science: changes to key populations at highest risk for HIV, refinements in measurement and shifts in the outcomes of interest, and a new era in the tools and approaches that epidemiologists use to synthesize evidence from measurements made on populations. By embracing foundational principles with modern methods, the epidemiologic approach of analyzing the causes and distributions of diseases in contemporaneous populations will continue to advance HIV science over the next decade.

Indexed as

EpidemiologyHIV InfectionsHumansProspective StudiesUnited StatesHIV epidemiologyinferencemeasurementpopulation

Identifiers

PMID31595945
PMCPMC7036648

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.