Evidence map›Paper›PMID 34006335›Full record

ReviewMicrobiome2021

Identifying biases and their potential solutions in human microbiome studies.

Jacob T Nearing, André M Comeau, Morgan G I Langille

Abstract readReviewVideo-Audio Media
In one paragraph

Review in Microbiome, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 127 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
127citing papers in PubMed, 7 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

127 citing papers in PubMed, 7 syntheses or guidelines pooled it.

  1. Pooled it
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  4. The impact ofFrontiers in cellular and infection microbiology · 2025
    Pooled it
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  8. Review
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  11. The gut as a central hub for multi-organ crosstalk in aging.Cellular and molecular life sciences : CMLS · 2026
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67 more citing papers are in PubMed but not listed here.

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.

Jacob T NearingDepartment of Microbiology and Immunology, Dalhousie University, Halifax, Nova Scotia, Canada.
André M ComeauIntegrated Microbiome Resource, Dalhousie University, Halifax, Nova Scotia, Canada.
Morgan G I LangilleIntegrated Microbiome Resource, Dalhousie University, Halifax, Nova Scotia, Canada. morgan.langille@dal.ca.ORCID 0000-0002-6604-3009

Funding

Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada (CA) 2016-05039
6 · The paper itself

Abstract

Advances in DNA sequencing technology have vastly improved the ability of researchers to explore the microbial inhabitants of the human body. Unfortunately, while these studies have uncovered the importance of these microbial communities to our health, they often do not result in similar findings. One possible reason for the disagreement in these results is due to the multitude of systemic biases that are introduced during sequence-based microbiome studies. These biases begin with sample collection and continue to be introduced throughout the entire experiment leading to an observed community that is significantly altered from the true underlying microbial composition. In this review, we will highlight the various steps in typical sequence-based human microbiome studies where significant bias can be introduced, and we will review the current efforts within the field that aim to reduce the impact of these biases. Video abstract.

Indexed as

MetagenomicsMicrobiotaBiasHumansSequence Analysis, DNASpecimen HandlingAmpliconBiasContaminationMetagenomicsMethodologyMicrobiome

Identifiers

PMID34006335
PMCPMC8132403

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.