Evidence map›Paper›PMID 19500964›Full record

ReviewCurrent opinion in immunology2009

Heterologous prime-boost vaccination.

Shan Lu

Registry-linked trialAbstract readReview
In one paragraph

Review in Current opinion in immunology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05162482 (Immunogenicity and Safety of Heterologous Combinations of COVID-19 Vaccines Available Under Emergency Use Authorization in Pakistan), which is not on this map. Cited by 284 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
284citing 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.

NCT05162482 phase2unknown statusnot on this mapstarted 2022, after this paper: background citation

Immunogenicity and Safety of Heterologous Combinations of COVID-19 Vaccines Available Under Emergency Use Authorization in Pakistan: A Randomized Phase II Trial

TypeinterventionalSponsorAga Khan University Hospital, PakistanRan2022 to 2024Enrolled1,680ConditionsCOVID 19 VaccineArmsBIBP (CNBG, Sinopharm) WIV, CanSinoBIO, AstraZeneca ChAdOx
3 · Its place in the literature

Who cites it

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

  1. Pooled it
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224 more citing papers are in PubMed but not listed here.

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

1 author.

Shan LuChina-US Vaccine Research Center and Department of Infectious Diseases, The First Affiliated Hospital, Nanjing Medical University, Nanjing, China. shan.lu@umassmed.edu

Funding

Optimizing the immunogenicity of next generation polyvalent HIV vaccine formulatiU19AI082676 · NIAID · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LU, SHAN · 2009 to 2016
$15.8M
Variation in HIV-1 R5 Envs: Consequences for tropism, neutralization & vaccinesP01AI082274 · NIAID · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LU, SHAN · 2009 to 2013
$9.7M
Polyvalent DNA Plus Protein HIV VaccinesR01AI065250 · NIAID · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LU, SHAN · 2006 to 2010
$1.9M
NIAID NIH HHS P01 AI082274NIAID NIH HHS R01 AI06250NIAID NIH HHS R01 AI065250NIAID NIH HHS U19 AI082676
6 · The paper itself

Abstract

An effective vaccine usually requires more than one time immunization in the form of prime-boost. Traditionally the same vaccines are given multiple times as homologous boosts. New findings suggested that prime-boost can be done with different types of vaccines containing the same antigens. In many cases such heterologous prime-boost can be more immunogenic than homologous prime-boost. Heterologous prime-boost represents a new way of immunization and will stimulate better understanding on the immunological basis of vaccines.

Indexed as

AIDS VaccinesAnimalsCancer VaccinesHIV InfectionsHumansImmunization, SecondaryNeoplasmsResearchResearch DesignVaccinationAIDS VaccinesCancer Vaccines

Identifiers

PMID19500964
PMCPMC3743086

What OpenQuestion holds

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Read underepoch 390

Registered trials

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.