Evidence map›Paper›PMID 28154793›Full record

ArticleEpidemiologic methods2016

Predicting Overall Vaccine Efficacy in a New Setting by Re-Calibrating Baseline Covariate and Intermediate Response Endpoint Effect Modifiers of Type-Specific Vaccine Efficacy.

Peter B Gilbert, Ying Huang

Abstract read
In one paragraph

Article in Epidemiologic methods, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–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

11 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Modeling HIV vaccine trials of the future.Current opinion in HIV and AIDS · 2016
    Review
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

2 authors.

Peter B GilbertVaccine and Infectious Disease and Public Health Science Divisions, Fred Hutchinson Cancer Research Center, Seattle, Washington, 98109, U.S.A; Department of Biostatistics, University of Washington, Seattle, Washington, 98105, U.S.A.
Ying HuangVaccine and Infectious Disease and Public Health Science Divisions, Fred Hutchinson Cancer Research Center, Seattle, Washington, 98109, U.S.A; Department of Biostatistics, University of Washington, Seattle, Washington, 98105, U.S.A.

Funding

LOC: HIV Vaccine Trials NetworkUM1AI068614 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Dan H. Barouch, Lawrence Corey · 2011 to 2026
$1175.6M
SDMC: HIV Vaccine Trials NetworkUM1AI068635 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Peter B. Gilbert, Yunda Huang · 2011 to 2026
$385.9M
Statistical Methods in HIV Vaccine Efficacy TrialsR37AI054165 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Peter B. Gilbert · 2010 to 2026
$6.7M
Statistical Methods for Selection and Evaluation of BiomarkersR01GM106177 · NIGMS · FRED HUTCHINSON CANCER RESEARCH CENTER · PI HUANG, YING · 2013 to 2018
$1.6M
FHCRC High-Performance Computing ClusterS10OD020069 · OD · FRED HUTCHINSON CANCER RESEARCH CENTER · PI KOOPERBERG, CHARLES L · 2015 to 2015
$600k
NIAID NIH HHS R37 AI054165NIAID NIH HHS UM1 AI068614NIAID NIH HHS UM1 AI068635NIGMS NIH HHS R01 GM106177NIH HHS S10 OD020069
6 · The paper itself

Abstract

We develop a transport formula for predicting overall cumulative vaccine efficacy through time

Indexed as

Case-cohort designCase-control designClinical trialsGeneralizabilityImmune correlate of protectionPrincipal stratificationVaccine efficacy trial

Identifiers

PMID28154793
PMCPMC5279575

What OpenQuestion holds

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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.