Evidence map›Paper›PMID 20674882›Full record

ArticleVaccine2010

Prevalence of high-risk indications for influenza vaccine varies by age, race, and income.

Richard K Zimmerman, Diane S Lauderdale, Sylvia M Tan, Diane K Wagener

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 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

35 citing papers in PubMed, 51 citations in OpenAlex.

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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

4 authors at 3 institutions in 1 country.

Richard K ZimmermanDepartment of Family Medicine, University of Pittsburgh, United States.
Diane S Lauderdale
Sylvia M Tan
Diane K Wagener
RTI International · USUniversity of Chicago · USUniversity of Pittsburgh · US

Funding

Training, Outreach & Diversity ComponentU54GM088491 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI VAN PANHUIS, WILLEM GIJSBERT · 2009 to 2018
$16.7M
Modeling of Infectious Disease Agent Study Information TechnologyU24GM087704 · NIGMS · RESEARCH TRIANGLE INSTITUTE · PI COOLEY, PHILIP C · 2009 to 2014
$10.1M
Modeling MRSA in the CommunityU01GM087729 · NIGMS · UNIVERSITY OF CHICAGO · PI LAUDERDALE, DIANE SPERLING, MACAL, CHARLES MARTIN · 2009 to 2013
$3.6M
NIGMS NIH HHS U01 GM087729NIGMS NIH HHS U01GM087729NIGMS NIH HHS U24 GM087704NIGMS NIH HHS U24GM087704NIGMS NIH HHS U54 GM088491NIGMS NIH HHS U54GM088491
6 · The paper itself

Abstract

Estimates of the proportions of the population who are at high risk of influenza complications because of prior health status or who are likely to have decreased vaccination response because of immunocompromising conditions would enhance public health planning and model-based projections. We estimate these proportions and how they vary by population subgroups using national data systems for 2006-2008. The proportion of individuals at increased risk of influenza complications because of health conditions varied 10-fold by age (4.2% of children <2 years to 47% of individuals >64 years). Age-specific prevalence differed substantially by gender, by racial/ethnic groups (with African Americans highest in all age groups) and by income. Individuals living in families with less than 200% of federal poverty level (FPL) were significantly more likely to have at least one of these health conditions, compared to individuals with 400% FPL or more (3-fold greater among <2 and 30% greater among >64 years). Among children, there were significantly elevated proportions in all regions compared to the West. The estimated prevalence of immunocompromising conditions ranged from 0.02% in young children to 6.14% older adults. However, national data on race/ethnicity and income are not available for most immunocompromising conditions, nor is it possible to fully identify the degree of overlap between persons with high-risk health conditions and with immunocompromising conditions. Modifications to current national data collection systems would enhance the value of these data for public health programs and influenza modeling.

Indexed as

Age FactorsEthnicityIncomeRisk FactorsAdolescentAdultAgedChildChild, PreschoolFemaleHealth StatusHumansInfantInfluenza VaccinesMaleMiddle AgedInfluenza Vaccines

Identifiers

PMID20674882
PMCPMC2939262
OpenAlexW2071119083

What OpenQuestion holds

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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.