Evidence map›Paper›PMID 35774001›Full record

ArticleAmerican journal of epidemiology2022

A Framework for Descriptive Epidemiology.

Catherine R Lesko, Matthew P Fox, Jessie K Edwards

Abstract read
In one paragraph

Article in American journal of epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 120 papers.

0numbers the graph read from it
0cells of the map it votes in
120citing 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

120 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Observational
  6. Article
  7. Article
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  9. Review
  10. Article
  11. Article
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  15. Review
  16. Article
  17. Article
  18. Article
  19. Prepregnancy body mass index in Ontario from 2012 to 2022: A population-based descriptive study.Canadian journal of public health = Revue canadienne de sante publique · 2026
    Article
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Catherine R Lesko
Matthew P Fox
Jessie K Edwards

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
Comparative effectiveness of tailored HIV treatment plans and mortalityK01AI125087 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI EDWARDS, JESSIE · 2017 to 2021
$586k
NIAAA NIH HHS K01 AA028193NIAID NIH HHS K01 AI125087NIAID NIH HHS R01 AI157758
6 · The paper itself

Abstract

In this paper, we propose a framework for thinking through the design and conduct of descriptive epidemiologic studies. A well-defined descriptive question aims to quantify and characterize some feature of the health of a population and must clearly state: 1) the target population, characterized by person and place, and anchored in time; 2) the outcome, event, or health state or characteristic; and 3) the measure of occurrence that will be used to summarize the outcome (e.g., incidence, prevalence, average time to event, etc.). Additionally, 4) any auxiliary variables will be prespecified and their roles as stratification factors (to characterize the outcome distribution) or nuisance variables (to be standardized over) will be stated. We illustrate application of this framework to describe the prevalence of viral suppression on December 31, 2019, among people living with human immunodeficiency virus (HIV) who had been linked to HIV care in the United States. Application of this framework highlights biases that may arise from missing data, especially 1) differences between the target population and the analytical sample; 2) measurement error; 3) competing events, late entries, loss to follow-up, and inappropriate interpretation of the chosen measure of outcome occurrence; and 4) inappropriate adjustment.

Indexed as

EthnicityHIV InfectionsBiasEpidemiologic StudiesHumansPrevalenceUnited Statesbiaschecklistdata analysisdescriptionframework

Identifiers

PMID35774001
PMCPMC10144679

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.