Evidence map›Paper›PMID 29273141›Full record

ArticleThe Journal of adolescent health : official publication of the Society for Adolescent Medicine2018

The Optimal Age for Screening Adolescents and Young Adults Without Identified Risk Factors for HIV.

Anne M Neilan, Richard Dunville, M Cheryl Bañez Ocfemia, Joshua A Salomon, Jordan A Francke, Alexander J B Bulteel, Li Yan Wang, Katherine K Hsu, Elizabeth A DiNenno, Rochelle P Walensky and 3 more

Abstract read
In one paragraph

Article in The Journal of adolescent health : official publication of the Society for Adolescent Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

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

  1. Evidence Gaps in Economic Evaluations of HIV Interventions Targeting Young People: A Systematic Review.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2024
    Pooled it
  2. Article
  3. Profiles of HIV-Related Knowledge and Self-Regulation Factors in At-Risk Pre-Adolescents.Children's health care : journal of the Association for the Care of Children's Health · 2025
    Article
  4. Article
  5. Daily Oral HIV Pre-exposure Prophylaxis Among Young Men Who Have Sex With Men in the United States: Cost-saving at Generic Drug Price.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Cost-effectiveness of Frequent HIV Screening Among High-risk Young Men Who Have Sex With Men in the United States.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Can the United States achieve 90-90-90?Current opinion in HIV and AIDS · 2019
    Review
  18. Article
  19. Missed Opportunities for HIV Screening Among a Cohort of Adolescents With Recently Diagnosed HIV Infection in a Large Pediatric Hospital Care Network.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2018
    Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Anne M NeilanMedical Practice Evaluation Center, Massachusetts General Hospital, Boston, Massachusetts; Division of Infectious Diseases, Massachusetts General Hospital, Boston, Massachusetts; Department of Pediatrics, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts. Electronic address: aneilan@partners.org.
Richard DunvilleDivision of Adolescent and School Health, Centers for Disease Control and Prevention, Atlanta, Georgia.
M Cheryl Bañez OcfemiaDivision of HIV/AIDS Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia.
Joshua A SalomonDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Jordan A FranckeMedical Practice Evaluation Center, Massachusetts General Hospital, Boston, Massachusetts; Division of General Internal Medicine, Massachusetts General Hospital, Boston, Massachusetts.
Alexander J B BulteelMedical Practice Evaluation Center, Massachusetts General Hospital, Boston, Massachusetts; Division of General Internal Medicine, Massachusetts General Hospital, Boston, Massachusetts.
Li Yan WangDivision of Adolescent and School Health, Centers for Disease Control and Prevention, Atlanta, Georgia.
Katherine K HsuDepartment of Pediatrics, Boston Medical Center, Boston, Massachusetts; Division of STD Prevention & HIV/AIDS Surveillance, Massachusetts Department of Public Health, Boston, Massachusetts.
Elizabeth A DiNennoDivision of HIV/AIDS Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia.
Rochelle P WalenskyMedical Practice Evaluation Center, Massachusetts General Hospital, Boston, Massachusetts; Division of Infectious Diseases, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts; Division of General Internal Medicine, Massachusetts General Hospital, Boston, Massachusetts.
Robert A ParkerMedical Practice Evaluation Center, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts; Biostatistics Center, Massachusetts General Hospital, Boston, Massachusetts.
Kenneth A FreedbergMedical Practice Evaluation Center, Massachusetts General Hospital, Boston, Massachusetts; Division of Infectious Diseases, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts; Division of General Internal Medicine, Massachusetts General Hospital, Boston, Massachusetts; Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Andrea L CiaranelloMedical Practice Evaluation Center, Massachusetts General Hospital, Boston, Massachusetts; Division of Infectious Diseases, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts.

Funding

Development and application of a new simulation model for COVID-19R01AI042006 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI Kenneth Alan Freedberg, Anne Neilan · 1998 to 2026
$12.9M
PROGRAM FOR AIDS CLINICAL RESEARCH TRAINING (PACRT)T32AI007433 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI MARK J SIEDNER · 1992 to 2026
$11.4M
Innovation across the spectrum of pediatric HIV care: Clinical impact and cost-effectiveness of long-acting antiretroviral therapy for breastfeeding people with HIV and their infants in ZimbabweR01HD079214 · NICHD · MASSACHUSETTS GENERAL HOSPITAL · PI CIARANELLO, ANDREA LYNNE · 2014 to 2023
$8.0M
Economic Modeling for HIV, Viral Hepatitis, STD, TB and School HealthU38PS004644 · PS · HARVARD SCHOOL OF PUBLIC HEALTH · PI SALOMON, JOSHUA A · 2014 to 2015
$2.9M
IL-17RA-signaling cytokines in the regulation of CD8 T cell immunity to T. cruziR01AI110340 · NIAID · NATIONAL RESEARCH COUNCIL OF ARGENTINA · PI ACOSTA RODRIGUEZ, EVA V · 2014 to 2018
$667k
NCHHSTP CDC HHS U38 PS004644NIAID NIH HHS L30 AI120123NIAID NIH HHS R01 AI042006NIAID NIH HHS R01 AI110340NIAID NIH HHS T32 AI007433NICHD NIH HHS R01 HD079214
6 · The paper itself

Abstract

purposeTo assess the optimal age at which a one-time HIV screen should begin for adolescents and young adults (AYA) in the U.S. without identified HIV risk factors, incorporating clinical impact, costs, and cost-effectiveness.

methodsWe simulated HIV-uninfected 12-year-olds in the U.S. without identified risk factors who faced age-specific risks of HIV infection (.6-71.3/100,000PY). We modeled a one-time screen ($36) at age 15, 18, 21, 25, or 30, each in addition to current U.S. screening practices (30% screened by age 24). Outcomes included retention in care, virologic suppression, life expectancy, lifetime costs, and incremental cost-effectiveness ratios in $/year-of-life saved (YLS) from the health-care system perspective. In sensitivity analyses, we varied HIV incidence, screening and linkage rates, and costs.

resultsAll one-time screens detected a small proportion of lifetime infections (.1%-10.3%). Compared with current U.S. screening practices, a screen at age 25 led to the most favorable care continuum outcomes at age 25: proportion diagnosed (77% vs. 51%), linked to care (71% vs. 51%), retained in care (68% vs. 44%), and virologically suppressed (49% vs. 32%). Compared with the next most effective screen, a screen at age 25 provided the greatest clinical benefit, and was cost-effective ($96,000/YLS) by U.S. standards (<$100,000/YLS).

conclusionsFor U.S. AYA without identified risk factors, a one-time routine HIV screen at age 25, after the peak of incidence, would optimize clinical outcomes and be cost-effective compared with current U.S. screening practices. Focusing screening on AYA ages 18 or younger is a less efficient use of a one-time screen among AYA than screening at a later age.

Indexed as

Cost-Benefit AnalysisAdolescentAdultChildFemaleHIV InfectionsHumansMaleMass ScreeningQuality-Adjusted Life YearsRisk FactorsUnited StatesYoung AdultAdolescenceHIV screeningHIV testingHuman immunodeficiency virusYoung adults

Identifiers

PMID29273141
PMCPMC5745059

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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.