Evidence map›Paper›PMID 29424779›Full record

ArticleAIDS (London, England)2018

Impact of aging and HIV infection on serologic response to seasonal influenza vaccination.

Suresh Pallikkuth, Lesley R De Armas, Rajendra Pahwa, Stefano Rinaldi, Varghese K George, Celeste M Sanchez, Li Pan, Gordon Dickinson, Allan Rodriguez, Margaret Fischl and 2 more

Erratum issuedOpen access · greenAbstract read
In one paragraph

Article in AIDS (London, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 47 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 2 pooled it
3.6field-weighted citation impact, top 7% 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

47 citing papers in PubMed, 2 syntheses or guidelines pooled it, 64 citations in OpenAlex.

  1. Pooled it
  2. Immunogenicity and efficacy of COVID-19 vaccines in people living with HIV: a systematic review and meta-analysis.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 2 institutions in 1 country.

Suresh PallikkuthDepartment of Microbiology and Immunology, Miami Center for AIDS Research.
Lesley R De ArmasDepartment of Microbiology and Immunology, Miami Center for AIDS Research.
Rajendra PahwaDepartment of Microbiology and Immunology, Miami Center for AIDS Research.
Stefano RinaldiDepartment of Microbiology and Immunology, Miami Center for AIDS Research.
Varghese K GeorgeDepartment of Microbiology and Immunology, Miami Center for AIDS Research.
Celeste M SanchezDepartment of Microbiology and Immunology, Miami Center for AIDS Research.
Li PanDepartment of Microbiology and Immunology, Miami Center for AIDS Research.
Gordon DickinsonDivision of Infectious Disease.
Allan RodriguezDivision of Infectious Disease.
Margaret FischlAIDS Clinical Research Unit, Department of Medicine, University of Miami Miller School of Medicine.
Maria AlcaideDivision of Infectious Disease.
Savita PahwaDepartment of Microbiology and Immunology, Miami Center for AIDS Research.
Johns Hopkins University Center for AIDS ResearchUniversity of Miami · US

Funding

University of Miami Developmental Center for AIDS Research (D-CFAR)P30AI073961 · NIAID · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI GWENDOLYN Barbara SCOTT · 2007 to 2026
$33.8M
Miami MACS-WIHS Combined Cohort Study Clinical Research SiteU01HL146203 · NHLBI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI MARIA LUISA ALCAIDE, Deborah Lynne Jones · 2019 to 2026
$21.2M
Antibody Responses in HIV and AgingR01AI108472 · NIAID · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI PAHWA, SAVITA · 2013 to 2017
$2.9M
NHLBI NIH HHS U01 HL146203NIAID NIH HHS P30 AI073961NIAID NIH HHS R01 AI108472
6 · The paper itself

Abstract

objectiveTo determine influence of age and HIV infection on influenza vaccine responses.

designEvaluate serologic response to seasonal trivalent influenza vaccine (TIV) as the immunologic outcome in HIV-infected (HIV⁺) and age-matched HIV negative (HIV⁻) adults.

methodsDuring 2013-2016, 151 virologically controlled HIV⁺ individuals on antiretroviral therapy and 164 HIV⁻ volunteers grouped by age as young (<40 years), middle aged (40-59 years) and old (≥60 years) were administered TIV and investigated for serum antibody response to vaccine antigens.

resultsAt prevaccination (T0) titers were in seroprotective range in more than 90% of participants. Antibody titers increased in all participants postvaccination but frequency of classified vaccine responders to individual or all three vaccine antigens at 3-4 weeks was higher in HIV⁻ than HIV⁺ adults with the greatest differences manifesting in the young age group. Of the three vaccine strains in TIV, antibody responses at T2 were weakest against H3N2 with those to H1N1 and B antigens dominating. Among the age groups, the titers for H1N1 and B were lowest in old age, with evidence of an age-associated interaction in HIV⁺ persons with antibody to B antigen.

conclusionGreater frequencies of vaccine nonresponders are seen in HIV⁺ young compared with HIV⁻ adults and the observed age-associated interaction for B antigen in HIV⁺ persons are supportive of the concept of premature immune senescence in controlled HIV infection. High-potency influenza vaccination recommended for healthy aging could be considered for HIV⁺ adults of all ages.

Indexed as

Antibody FormationAdultAgedAged, 80 and overAge FactorsAgingAntibodies, ViralFemaleHIV InfectionsHumansImmunocompromised HostInfluenza, HumanInfluenza VaccinesIntracellular Signaling Peptides and ProteinsMaleMiddle AgedAntibodies, ViralIMPACT protein, humanInfluenza VaccinesIntracellular Signaling Peptides and ProteinsProteins

Identifiers

PMID29424779
PMCPMC6574117
OpenAlexW2792343481

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.