Evidence map›Paper›PMID 25749559›Full record

ReviewAnnals of epidemiology2015

What matters most: quantifying an epidemiology of consequence.

Katherine Keyes, Sandro Galea

Abstract readReview
In one paragraph

Review in Annals of epidemiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 2 pooled it
–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

34 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. JAMIA at 30: looking back and forward.Journal of the American Medical Informatics Association : JAMIA · 2023
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Data, Social Determinants, and Better Decision-making for Health: the 3-D Commission.Journal of urban health : bulletin of the New York Academy of Medicine · 2021
    Article
  11. Racial Disparities in Coronavirus Disease 2019 (COVID-19) Mortality Are Driven by Unequal Infection Risks.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Sampling and Sampling Frames in Big Data Epidemiology.Current epidemiology reports · 2019
    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

2 authors.

Katherine KeyesDepartment of Epidemiology, Columbia University, New York, NY.
Sandro GaleaDepartment of Epidemiology, Boston University School of Public Health, Boston, MA. Electronic address: sgalea@bu.edu.

Funding

Race, alcohol consumption and vehicle crashes: an epidemiologic paradoxK01AA021511 · NIAAA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI KEYES, KATHERINE M. · 2013 to 2017
$904k
NIAAA NIH HHS K01 AA021511NIAAA NIH HHS K01AA021511
6 · The paper itself

Abstract

Risk factor epidemiology has contributed to substantial public health success. In this essay, we argue, however, that the focus on risk factor epidemiology has led epidemiology to ever increasing focus on the estimation of precise causal effects of exposures on an outcome at the expense of engagement with the broader causal architecture that produces population health. To conduct an epidemiology of consequence, a systematic effort is needed to engage our science in a critical reflection both about how well and under what conditions or assumptions we can assess causal effects and also on what will truly matter most for changing population health. Such an approach changes the priorities and values of the discipline and requires reorientation of how we structure the questions we ask and the methods we use, as well as how we teach epidemiology to our emerging scholars.

Indexed as

CausalityEpidemiologic MethodsPublic HealthEpidemiologyFemaleHumansMaleRisk FactorsSocial ResponsibilityCausal inferenceCausesConsequentialismConsequentialist epidemiologyInteractionPrevalence

Identifiers

PMID25749559
PMCPMC4397182

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.