Evidence map›Paper›PMID 22305027›Full record

ArticleMayo Clinic proceedings2012

Generalizability of epidemiological findings and public health decisions: an illustration from the Rochester Epidemiology Project.

Jennifer L St Sauver, Brandon R Grossardt, Cynthia L Leibson, Barbara P Yawn, L Joseph Melton, Walter A Rocca

Abstract read
In one paragraph

Article in Mayo Clinic proceedings, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 513 papers.

0numbers the graph read from it
0cells of the map it votes in
513citing 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

513 citing papers in PubMed.

  1. Eligibility for donanemab trial in a population-based study of cognitive aging.The journal of prevention of Alzheimer's disease · 2025
    Trial
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. A framework for assessing the trustworthiness of scientific research findings.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Observational
  17. Article
  18. Article
  19. Article
  20. Article

453 more citing papers are in PubMed but not listed here.

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

6 authors.

Jennifer L St SauverDivision of Epidemiology, Mayo Clinic, Rochester, MN, USA.
Brandon R Grossardt
Cynthia L Leibson
Barbara P Yawn
L Joseph Melton
Walter A Rocca

Funding

Rochester Epidemiology ProjectR01AG034676 · NIA · MAYO CLINIC ROCHESTER · PI ROCCA, WALTER A, ST SAUVER, JENNIFER LYNN · 2010 to 2019
$9.5M
ROCHESTER EPIDEMIOLOGY PROJECTR01AR030582 · NIAMS · MAYO CLINIC ROCHESTER · PI ROCCA, WALTER A · 1986 to 2009
$5.1M
NIAMS NIH HHS R01 AR030582NIA NIH HHS R01 AG034676
6 · The paper itself

Abstract

objectiveTo illustrate the problem of generalizability of epidemiological findings derived from a single population using data from the Rochester Epidemiology Project and from the US Census.

methodsWe compared the characteristics of the Olmsted County, Minnesota, population with the characteristics of populations residing in the state of Minnesota, the Upper Midwest, and the entire United States.

resultsAge, sex, and ethnic characteristics of Olmsted County were similar to those of the state of Minnesota and the Upper Midwest from 1970 to 2000. However, Olmsted County was less ethnically diverse than the entire US population (90.3% vs 75.1% white), more highly educated (91.1% vs 80.4% high school graduates), and wealthier ($51,316 vs $41,994 median household income; 2000 US Census data). Age- and sex-specific mortality rates were similar for Olmsted County, the state of Minnesota, and the entire United States.

conclusionWe provide an example of analyses and comparisons that may guide the generalization of epidemiological findings from a single population to other populations or to the entire United States.

Indexed as

Epidemiologic StudiesHealth StatusPopulation SurveillanceAdultAgedAged, 80 and overCatchment Area, HealthChronic DiseaseFemaleHealth Services Needs and DemandHealth Status IndicatorsHumansMaleMiddle AgedMinnesotaPublic Health

Identifiers

PMID22305027
PMCPMC3538404

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.