Evidence map›Paper›PMID 28416219›Full record

ArticleEpidemics2017

Displacement of sexual partnerships in trials of sexual behavior interventions: A model-based assessment of consequences.

Alethea W McCormick, Nadia N Abuelezam, Thomas Fussell, George R Seage, Marc Lipsitch

Open access · goldAbstract read
In one paragraph

Article in Epidemics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.5field-weighted citation impact, top 14% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Calibration and Validation of the Colorectal Cancer and Adenoma Incidence and Mortality (CRC-AIM) Microsimulation Model Using Deep Neural Networks.Medical decision making : an international journal of the Society for Medical Decision Making · 2023
    Article
  2. Article
  3. 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

5 authors at 2 institutions in 1 country.

Alethea W McCormickDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, 677 Huntington Ave, Boston, MA, 02115, USA. Electronic address: amccormi@hsph.harvard.edu.
Nadia N AbuelezamDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, 677 Huntington Ave, Boston, MA, 02115, USA; William F. Connell School of Nursing, Boston College, 140 Commonwealth Avenue, Chestnut Hill, MA, 02467, USA.
Thomas FussellDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, 677 Huntington Ave, Boston, MA, 02115, USA.
George R SeageDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, 677 Huntington Ave, Boston, MA, 02115, USA.
Marc LipsitchDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, 677 Huntington Ave, Boston, MA, 02115, USA; Center for Communicable Disease Dynamics and Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, 677 Huntington Ave, Boston, MA, 02115, USA.
Harvard University · USBoston College · US

Funding

Understanding and controlling antibiotic resistanceU54GM088558 · NIGMS · HARVARD SCHOOL OF PUBLIC HEALTH · PI LIPSITCH, MARC · 2009 to 2018
$26.4M
Optimizing HIV Care in Less Developed CountriesR01AI058736 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI Kenneth Alan Freedberg, Emily Parker Hyle · 2004 to 2026
$21.5M
PROGRAM FOR AIDS CLINICAL RESEARCH TRAINING (PACRT)T32AI007433 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI MARK J SIEDNER · 1992 to 2026
$11.4M
Modeling the Impact of HIV Prevention InterventionsR01MH087328 · NIMH · HARVARD SCHOOL OF PUBLIC HEALTH · PI SEAGE, GEORGE R · 2010 to 2013
$2.7M
Calibration and Simulation of the Botswana Combination Prevention ProjectR01GM116525 · NIGMS · HARVARD SCHOOL OF PUBLIC HEALTH · PI SEAGE, GEORGE R · 2015 to 2017
$1.5M
NIAID NIH HHS R01 AI058736NIAID NIH HHS T32 AI007433NIGMS NIH HHS R01 GM116525NIGMS NIH HHS U54 GM088558NIMH NIH HHS R01 MH087328
6 · The paper itself

Abstract

We investigated the impact of the displacement of sexual activity from adherent recipients of an intervention to others within or outside a trial population on the results from hypothetical trials of different sexual behavior interventions. A short-term model of HIV-prevention interventions that lead to female rejection of male partnership requests showed the impact of displacement expected at the start of a trial. An agent-based model, with sexual mixing and other South African specific demographics, evaluated consequences of displacement for sexual behavior interventions targeting young females in South Africa. This model measured the cumulative incidence among adherent, non-adherent, control and non-enrolled females in a hypothetical trial of HIV prevention. When males made more than one attempt to seek a partnership, interventions reduced short-term HIV infection risk among adherent females, but increased it among non-adherent females as well as controls, non-enrolled (females eligible for the trial but not chosen to participate) and ineligible females (females that did not qualify for the trial due to age). The impact of displacement depends on the intervention and the adherence. In both models, the risk to individuals who are not members of the adherent intervention group will increase with displacement leading to a biased calculation for the effect estimates for the trial. Likewise, intent-to-treat effect estimates become nonlinear functions of the proportion adherent.

Indexed as

Models, TheoreticalSexual BehaviorSexual PartnersAdolescentAdultFemaleHIV InfectionsHumansIncidenceMaleSouth AfricaYoung AdultAgent-based modelingDisplacementHIV preventionTrial design

Identifiers

PMID28416219
PMCPMC5610917
OpenAlexW2601920022

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.