Evidence map›Paper›PMID 23296358›Full record

ArticleAmerican journal of epidemiology2013

Implications of the human microbiome project for epidemiology.

Betsy Foxman, Mariana Rosenthal

Abstract read
In one paragraph

Article in American journal of epidemiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Systems biology approaches to epidemiological studies of complex diseases.Wiley interdisciplinary reviews. Systems biology and medicine
    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.

Betsy FoxmanDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109-2029, USA. bfoxman@umich.edu
Mariana Rosenthal

Funding

Psychosocial Influences on Rural Children's Oral HealthR01DE014899 · NIDCR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI FOXMAN, BETSY, MARAZITA, MARY L. · 2002 to 2020
$39.9M
Interdisciplinary Training Program in Infectious DiseasesT32AI049816 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI FOXMAN, BETSY · 2002 to 2011
$1.5M
NIAID NIH HHS T32 AI049816NIDCR NIH HHS R01 DE014899
6 · The paper itself

Abstract

The structure and function of microorganisms that live in and on us, the human microbiota, are a tremendous resource. Microbiota may help to explain individual variability in health outcomes and be a source of new biomarkers for environmental exposures and of novel prognostic and diagnostic indicators. The increase in availability of low-cost, high-throughput techniques makes it relatively straightforward to include microbiota assessments in epidemiologic studies. With the recent joint publications of the findings of the Human Microbiome Consortium and related studies, the consequent surge of interest in microbiome research, and remarkable media attention, the time is ripe for epidemiologists to contribute their expertise to and translate results of microbiota research for population health.

Indexed as

MetagenomeBacteriaEpidemiologyFungiHumansMicrobial ConsortiaPolymerase Chain ReactionRisk FactorsTime FactorsViruses

Identifiers

PMID23296358
PMCPMC3626050

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.