Evidence map›Paper›PMID 28154145›Full record

Observational studyProceedings of the National Academy of Sciences of the United States of America2017

Estimating the population-level impact of vaccines using synthetic controls.

Christian A W Bruhn, Stephen Hetterich, Cynthia Schuck-Paim, Esra Kürüm, Robert J Taylor, Roger Lustig, Eugene D Shapiro, Joshua L Warren, Lone Simonsen, Daniel M Weinberger

Registry-linked trialOpen access · bronzeAbstract readComparative StudyObservational Study
In one paragraph

Observational study in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06511687 (Effectiveness And Impact of Nirsevimab In A Nationwide Immunization Program During The 2024 Winter Campaign In Chile), which is not on this map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
6.4field-weighted citation impact, top 3% 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.

NCT06511687 unknown statusnot on this mapstarted 2024, after this paper: background citation

Effectiveness And Impact of Nirsevimab In A Nationwide Immunization Program During The 2024 Winter Campaign In Chile (Nirse-CL)

TypeobservationalSponsorInstituto Sistemas Complejos de IngenieríaRan2024 to 2024Enrolled160,000ConditionsRSVArmsNirsevimab
3 · Its place in the literature

Who cites it

42 citing papers in PubMed, 79 citations in OpenAlex.

  1. Article
  2. Change in the distribution ofFrontiers in microbiology · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. How many more? Under-reporting of the COVID-19 deaths in Brazil in 2020.Tropical medicine & international health : TM & IH · 2021
    Article
  20. Declines in Pneumonia Mortality Following the Introduction of Pneumococcal Conjugate Vaccines in Latin American and Caribbean Countries.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
    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

10 authors at 3 institutions in 2 countries.

Christian A W BruhnDepartment of Epidemiology of Microbial Diseases, Yale University School of Public Health, New Haven, CT 06520.
Stephen HetterichSage Analytica, Portland, ME 04101.
Cynthia Schuck-PaimSage Analytica, Portland, ME 04101.
Esra KürümDepartment of Epidemiology of Microbial Diseases, Yale University School of Public Health, New Haven, CT 06520.
Robert J TaylorSage Analytica, Portland, ME 04101.
Roger LustigSage Analytica, Portland, ME 04101.
Eugene D ShapiroDepartment of Epidemiology of Microbial Diseases, Yale University School of Public Health, New Haven, CT 06520.
Joshua L WarrenDepartment of Epidemiology of Microbial Diseases, Yale University School of Public Health, New Haven, CT 06520.
Lone SimonsenSage Analytica, Portland, ME 04101.ORCID 0000-0003-1535-8526
Daniel M WeinbergerDepartment of Epidemiology of Microbial Diseases, Yale University School of Public Health, New Haven, CT 06520; daniel.weinberger@yale.edu.
Yale University · USUniversity of California, Riverside · USUniversity of Copenhagen · DK

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Yale Study Support Suite (YES3): Dashboard and Web Portal Software Supporting Research Workflow through integrated, customizable REDCap External ModulesP30AG021342 · NIA · YALE UNIVERSITY · PI Denise Esserman · 2002 to 2026
$37.9M
Institutional Career Development CoreKL2TR001862 · NCATS · YALE UNIVERSITY · PI CANTLEY, LLOYD G, EDELMAN, E. JENNIFER · 2016 to 2025
$12.2M
Forecasting pneumococcal serotype frequencies to develop adult-specific vaccinesR01AI123208 · NIAID · YALE UNIVERSITY · PI WEINBERGER, DANIEL MARTIN · 2016 to 2019
$2.5M
Forecasting pneumococcal serotype frequencies to develop adult-specific vaccinesR56AI110449 · NIAID · YALE UNIVERSITY · PI WEINBERGER, DANIEL MARTIN · 2015 to 2015
$427k
NCATS NIH HHS KL2 TR001862NCATS NIH HHS UL1 TR001863NIAID NIH HHS R01 AI123208NIAID NIH HHS R56 AI110449NIA NIH HHS P30 AG021342
6 · The paper itself

Abstract

When a new vaccine is introduced, it is critical to monitor trends in disease rates to ensure that the vaccine is effective and to quantify its impact. However, estimates from observational studies can be confounded by unrelated changes in healthcare utilization, changes in the underlying health of the population, or changes in reporting. Other diseases are often used to detect and adjust for these changes, but choosing an appropriate control disease a priori is a major challenge. The "synthetic controls" (causal impact) method, which was originally developed for website analytics and social sciences, provides an appealing solution. With this approach, potential comparison time series are combined into a composite and are used to generate a counterfactual estimate, which can be compared with the time series of interest after the intervention. We sought to estimate changes in hospitalizations for all-cause pneumonia associated with the introduction of pneumococcal conjugate vaccines (PCVs) in five countries in the Americas. Using synthetic controls, we found a substantial decline in hospitalizations for all-cause pneumonia in infants in all five countries (average of 20%), whereas estimates for young and middle-aged adults varied by country and were potentially influenced by the 2009 influenza pandemic. In contrast to previous reports, we did not detect a decline in all-cause pneumonia in older adults in any country. Synthetic controls promise to increase the accuracy of studies of vaccine impact and to increase comparability of results between populations compared with alternative approaches.

Indexed as

Control GroupsPneumococcal VaccinesVaccinationAdolescentAdultAgedAged, 80 and overAge FactorsBiasChildChild, PreschoolConfounding Factors, EpidemiologicFemaleHealth Impact AssessmentHospitalizationHumansPneumococcal VaccinesVaccines, Conjugateobservational studypneumococcal conjugate vaccinesprogram evaluationStreptococcus pneumoniaesynthetic controls

Identifiers

PMID28154145
PMCPMC5321019
OpenAlexW2583819130

What OpenQuestion holds

Textmetadata
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.