Evidence map›Paper›PMID 18280620›Full record

ArticleVaccine2008

Age-related trends in the timeliness and prediction of medical visits, hospitalizations and deaths due to pneumonia and influenza, British Columbia, Canada, 1998-2004.

R Sebastian, D M Skowronski, M Chong, J Dhaliwal, J S Brownstein

Open access · greenAbstract read
In one paragraph

Article in Vaccine, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.0field-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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Guideline
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Determining the dynamics of influenza transmission by age.Emerging themes in epidemiology · 2014
    Article
  8. Physician surveillance of influenza: collaboration between primary care and public health.Canadian family physician Medecin de famille canadien · 2014
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Outcome of critically ill patients with influenza virus infection.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2009
    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

5 authors at 2 institutions in 2 countries.

R SebastianEpidemiology Services, British Columbia Centre for Disease Control, 655 12th Avenue West, Vancouver, British Columbia, V5Z 4R4 Canada.
D M Skowronski
M Chong
J Dhaliwal
J S Brownstein
BC Centre for Disease Control · CAHarvard University · US

Funding

Empirical space-time evaluation of priority groups for influenza controlR21AI073591 · NIAID · BOSTON CHILDREN'S HOSPITAL · PI BROWNSTEIN, JOHN S. · 2007 to 2008
$460k
NIAID NIH HHS 1R21AI073591-01NIAID NIH HHS R21 AI073591
6 · The paper itself

Abstract

The influenza immunization program in North America has been primarily designed to provide direct benefit to vaccinated individuals at highest risk of serious influenza outcomes. Some evidence suggests that immunization of certain age groups may also extend indirect protective benefit to vulnerable populations. Our goal was to identify age groups associated earliest with seasonal influenza activity and who may have the greatest indirect impact at the population level. We examined age-based associations between influenza medical visits and population-wide hospitalization/mortality due to pneumonia & influenza (P&I) using administrative datasets in British Columbia, Canada. A peak week was identified for each age group based on the highest rates observed in a given week for that study year. Mean rates at the peak week were averaged over the study years per age group. Timeliness (T) was defined as the mean difference in days between the first peak in influenza medical visits and population-wide P&I hospitalizations/deaths. Poisson regression was applied to calculate prediction (Pr) as the average proportion of deviance in P&I explained by influenza medical visits. T and Pr were derived by age group, and the product (T x Pr) was used as a summary measure to rank potential indirect effects of influenza by age group. Young children (0-23 months) and the elderly (> or = 65 years) had the highest peak rates of P&I hospitalization. Children < 6m and the elderly had the highest peak rates of P&I mortality. We found no significant differences by age for influenza medical visits in predicting population-wide P&I hospitalizations or deaths. School-aged children (5-19 years) showed the best relative combination of T x Pr, followed by preschool-aged children (2-4 years). We conclude that the very young and old suffer the greatest morbidity due to P&I, and an indirect role for school-aged children in anticipating the risk to others warrants further evaluation.

Indexed as

AdolescentAdultAgedAge FactorsBritish ColumbiaChildChild, PreschoolFemaleForecastingHospitalizationHumansInfantInfluenza, HumanMaleMiddle AgedOffice Visits

Identifiers

PMID18280620
PMCPMC2376828
OpenAlexW2004696739

What OpenQuestion holds

Textmetadata
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.