Evidence map›Paper›PMID 20472028›Full record

ArticleVaccine2010

The potential economic value of a Staphylococcus aureus vaccine for neonates.

Bruce Y Lee, Paul J Ufberg, Rachel R Bailey, Ann E Wiringa, Kenneth J Smith, Andrew J Nowalk, Conor Higgins, Angela R Wateska, Robert R Muder

Abstract read
In one paragraph

Article in Vaccine, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Natural antibodies in normal human serum inhibit Staphylococcus aureus capsular polysaccharide vaccine efficacy.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2012
    Article
  5. 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

9 authors at 2 institutions in 1 country.

Bruce Y LeeApplied Modeling, Public Health Computational and Operations Research (PHICOR), Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA 15213, USA. BYL1@pitt.edu
Paul J Ufberg
Rachel R Bailey
Ann E Wiringa
Kenneth J Smith
Andrew J Nowalk
Conor Higgins
Angela R Wateska
Robert R Muder
University of Pittsburgh · USVA Pittsburgh Healthcare System · US

Funding

Training, Outreach & Diversity ComponentU54GM088491 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI VAN PANHUIS, WILLEM GIJSBERT · 2009 to 2018
$16.7M
Computational Models of Infectious Disease ThreatsU01GM070708 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BURKE, DONALD SCOTT · 2004 to 2008
$3.8M
NIGMS NIH HHS 1U54GM088491-0109NIGMS NIH HHS U01 GM070708NIGMS NIH HHS U54 GM088491
6 · The paper itself

Abstract

The continuing morbidity and mortality associated with Staphylococcus aureus (S. aureus) infections, especially methicillin-resistant S. aureus (MRSA) infections, have motivated calls to make S. aureus vaccine development a research priority. We developed a decision analytic computer simulation model to determine the potential economic impact of a S. aureus vaccine for neonates. Our results suggest that a S. aureus vaccine for the neonatal population would be strongly cost-effective (and in many situations dominant) over a wide range of vaccine efficacies (down to 10%) for vaccine costs (<or=$500), and S. aureus attack rates (>or=1%).

Indexed as

Models, EconomicComputer SimulationCost-Benefit AnalysisHumansInfant, NewbornMethicillin-Resistant Staphylococcus aureusStaphylococcal InfectionsStaphylococcal VaccinesStaphylococcal Vaccines

Identifiers

PMID20472028
PMCPMC2896294
OpenAlexW2023655011

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.