Evidence map›Paper›PMID 41397236›Full record

ArticleEpidemiology (Cambridge, Mass.)2026

A Framework for Thinking About the Potential Public Health Impact of Epidemiologic Research.

Catherine R Lesko, Lauren C Zalla, Rachael K Ross, Jacqueline E Rudolph, Emily R Smith, Jessie K Edwards

Abstract read
In one paragraph

Article in Epidemiology (Cambridge, Mass.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Catherine R LeskoFrom the Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.ORCID 0000-0002-1717-2592
Lauren C ZallaFrom the Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Rachael K RossDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY.
Jacqueline E RudolphFrom the Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Emily R SmithDepartment of Emergency Medicine, Duke University School of Medicine, Duke Global Health Institute, Duke University, Durham, NC.
Jessie K EdwardsDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC.

Funding

Improved analysis of experiments and observational studies in HIVR01AI157758 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephen R Cole, Jessie Edwards · 2020 to 2026
$5.0M
Unhealthy alcohol use, other drug use, and mental health disorders: comorbidity burden in people with HIV, gaps in treatment, and impact on the HIV care continuumK01AA028193 · NIAAA · JOHNS HOPKINS UNIVERSITY · PI LESKO, CATHERINE · 2019 to 2023
$900k
Improving access to cancer care for children in Tanzania: Designing a health-systems interventionK01TW012181 · FIC · DUKE UNIVERSITY · PI Emily Smith · 2022 to 2026
$816k
The Urban Environment as a Modifiable Social Determinant of Health among People with HIVK99AI181608 · NIAID · JOHNS HOPKINS UNIVERSITY · PI ZALLA, LAUREN C. · 2024 to 2025
$253k
FIC NIH HHS K01 TW012181NIAAA NIH HHS K01 AA028193NIAID NIH HHS K99 AI181608NIAID NIH HHS R01 AI157758
6 · The paper itself

Abstract

An impactful epidemiologic question is one that, if answered, could inform meaningful action to reduce the burden of disease in the population it concerns. We propose a set of factors that could be used for discussing, evaluating, and communicating the public health impact of epidemiologic studies. These factors pertain to the burden and distribution of disease, the potential for an intervention to alter the disease burden, and the context in which the study is conducted. The disease burden is characterized by the number of cases, severity or cost of disease, and distribution of disease across the population. The potential for intervention is characterized by the mutability of the exposure itself, the prevalence and distribution of other causes of the disease in the population, the prevalence of the exposure and risk of the outcome under the natural course (before any intervention), and the feasibility of intervening. An epidemiologic question need not be impactful along all these factors to make answering it worthwhile. However, answering epidemiologic questions with more of these factors present will likely have a greater public health impact than answering questions for which these factors are absent. We hope that collecting these factors into a single framework may aid students and senior epidemiologists alike when organizing arguments for the value of their own work or attempting to evaluate the impact of others' work.

Indexed as

Epidemiologic StudiesPublic HealthCost of IllnessHumansDisease burdenFrameworkImpactInterventionPublic healthSignificance

Identifiers

PMID41397236
PMCPMC12707578

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.