Evidence map›Paper›PMID 29843838›Full record

ArticleEpidemiology and infection2018

Trends in proportion of older HIV-infected people in care in Latin America and the Caribbean: a growing challenge.

Y Caro-Vega, P F Belaunzarán-Zamudio, B Crabtree-Ramírez, B E Shepherd, F Mejia, M J Giganti, P Patterson, B Grinsztejn, M Wolff, J W Pape and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in Epidemiology and infection, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 21% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
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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

14 authors at 8 institutions in 8 countries.

Y Caro-VegaDepartmento de Infectología,Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán,Mexico City,Mexico.
P F Belaunzarán-ZamudioDepartmento de Infectología,Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán,Mexico City,Mexico.ORCID 0000-0003-4775-4734
B Crabtree-RamírezDepartmento de Infectología,Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán,Mexico City,Mexico.
B E ShepherdDepartment of Biostatistics,Vanderbilt University,Nashville,USA.
F MejiaInfectious Disease Clinic, Universidad Peruana Cayetano Heredia,Lima,Peru.
M J GigantiDepartment of Biostatistics,Vanderbilt University,Nashville,USA.
P PattersonFundación Huésped,Buenos Aires,Argentina.
B GrinsztejnInstituto de Pesquisa Clínica Evandro Chagas, Fundacão Oswaldo Cruz,Rio de Janeiro,Brazil.
M WolffDepartment of Infectious Diseases,Fundación Arriarán,Santiago de Chile,Chile.
J W PapeLes Centres GHESKIO, Integrated Care Center and Research Instituti,Port-au-Prince,Haiti.
D PadgettDepartment of Infectious Diseases,Hospital Escuela Universitario,Tegucigalpa,Honduras.
J L CastilhoDepartment of Medicine,Vanderbilt University,Nashville,USA.
C McGowanDepartment of Medicine,Vanderbilt University,Nashville,USA.
J G Sierra-MaderoDepartmento de Infectología,Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán,Mexico City,Mexico.
Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán · MXVanderbilt University · USFundación Chile · CLFundación Huésped · ARGheskio Centers · HTInstituto Evandro Chagas · BRUniversidad Metropolitana de Honduras · HNUniversidad Peruana Cayetano Heredia · PE

Funding

CCASAnet: Caribbean, Central and South America NetworkU01AI069923 · NIAID · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Pedro Enrique Cahn, Jessica L Castilho · 2006 to 2026
$41.6M
The FIOCRUZ Therapeutic and Prevention HIV/AIDS Clinical Trials Unit (FioTrials)UM1AI069476 · NIAID · FUNDACAO OSWALDO CRUZ · PI BEATRIZ GRINSZTEJN · 2012 to 2026
$26.3M
GHESKIO HIV Clinical Trial UnitUM1AI069421 · NIAID · GHESKIO CENTER · PI JEAN WILLIAM PAPE · 2012 to 2026
$23.6M
The dynamics of HIV, aging, and T lymphocyte exhaustionK23AI120875 · NIAID · VANDERBILT UNIVERSITY MEDICAL CENTER · PI CASTILHO, JESSICA L · 2016 to 2020
$867k
NIAID NIH HHS K23 AI120875NIAID NIH HHS U01 AI069923NIAID NIH HHS UM1 AI069421NIAID NIH HHS UM1 AI069476
6 · The paper itself

Abstract

We aimed to quantify the proportion of people receiving care for HIV-infection that are 50 years or older (older HIV patients) in Latin America and the Caribbean between 2000 and 2015 and to estimate the contribution to the growth of this population of people enrolled before (<50yo) and after 50 years old (yo) (⩾50yo). We used a series of repeated, cross-sectional measurements over time in the Caribbean, Central and South American network (CCASAnet) cohort. We estimated the percentage of patients retained in care each year that were older HIV patients. For every calendar year, we divided patients into two groups: those who enrolled before age 50 and after age 50. We used logistic regression models to estimate the change in the proportion of older HIV patients between 2000 and 2015. The percentage of CCASAnet HIV patients over 50 years had a threefold increase (8% to 24%) between 2000 and 2015. Most of the growth of this population can be explained by the increasing proportion of people that enrolled before 50 years and aged in care. These changes will impact needs of care for people living with HIV, due to multiple comorbidities and high risk of disability associated with aging.

Indexed as

AdultAge DistributionAnti-HIV AgentsCaribbean RegionDemographyFemaleHIV InfectionsHumansLatin AmericaMaleMiddle AgedAnti-HIV AgentsAgingCaribbeanHIV/AIDSLatin Americaolder

Identifiers

PMID29843838
PMCPMC6062450
OpenAlexW2806292675

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.