Evidence map›Paper›PMID 31635533›Full record

ArticleAnnual review of public health2020

Sick Individuals and Sick (Microbial) Populations: Challenges in Epidemiology and the Microbiome.

Audrey Renson, Pamela Herd, Jennifer B Dowd

Abstract read
In one paragraph

Article in Annual review of public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Moleculartyping and antibiotic resistance pattern ofIranian journal of microbiology · 2026
    Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Earth Dreams: Reimagining ARPA for Health of People, Places and Planet.International journal of environmental research and public health · 2021
    Article
  11. Review
  12. Review
  13. Early Signs of Gut Microbiome Aging: Biomarkers of Inflammation, Metabolism, and Macromolecular Damage in Young Adulthood.The journals of gerontology. Series A, Biological sciences and medical sciences · 2020
    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

3 authors.

Audrey RensonDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina 27599, USA; email: arenson@live.unc.edu.
Pamela HerdMcCourt School of Public Policy, Georgetown University, Washington, DC 20057, USA; email: ph627@georgetown.edu.
Jennifer B DowdDepartment of Global Health and Social Medicine, King's College London, London WC2B 4BG, United Kingdom; email: jennifer.dowd@kcl.ac.uk.

Funding

Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
From Biological to Social Processes: Interdisciplinary Training in Life Course ResearchT32HD091058 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ROBERT A HUMMER, Amanda L Thompson · 2017 to 2026
$4.3M
The representative microbiome: social determinants and tools for population researchR21AI121784 · NIAID · GRADUATE SCHOOL OF PUBLIC HEALTH AND HEALTH POLICY · PI DOWD, JENNIFER BEAM · 2016 to 2017
$446k
NIAID NIH HHS R21 AI121784NICHD NIH HHS P2C HD050924NICHD NIH HHS T32 HD091058
6 · The paper itself

Abstract

The human microbiome represents a new frontier in understanding the biology of human health. While epidemiology in this area is still in its infancy, its scope will likely expand dramatically over the coming years. To rise to the challenge, we argue that epidemiology should capitalize on its population perspective as a critical complement to molecular microbiome research, allowing for the illumination of contextual mechanisms that may vary more across populations rather than among individuals. We first briefly review current research on social context and the gut microbiome, focusing specifically on socioeconomic status (SES) and race/ethnicity. Next, we reflect on the current state of microbiome epidemiology through the lens of one specific area, the association of the gut microbiome and metabolic disorders. We identify key methodological shortcomings of current epidemiological research in this area, including extensive selection bias, the use of noncompositionally robust measures, and a lack of attention to social factors as confounders or effect modifiers.

Indexed as

EthnicityRacial GroupsConfounding Factors, EpidemiologicEpidemiologyGastrointestinal MicrobiomeHumansMetabolic DiseasesMicrobiotaSocial EnvironmentSocioeconomic Factorsepidemiologymetabolicmicrobiomemicrobiotarace/ethnicitySESsocial

Identifiers

PMID31635533
PMCPMC9713946

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.