Evidence map›Paper›PMID 39189314›Full record

ReviewThe Journal of infectious diseases2026

Planning and Analyzing a Low-Biomass Microbiome Study: A Data Analysis Perspective.

George I Austin, Tal Korem

Abstract readReview
In one paragraph

Review in The Journal of infectious diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

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  19. The respiratory tract virome: unravelling the role of viral dark matter in respiratory health and disease.European respiratory review : an official journal of the European Respiratory Society · 2025
    Review
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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.

George I AustinDepartment of Biomedical Informatics.ORCID 0000-0002-7834-4968
Tal KoremProgram for Mathematical Genomics, Department of Systems Biology.ORCID 0000-0002-0609-0858

Funding

Training in Biomedical Informatics at Columbia UniversityT15LM007079 · NLM · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI NOEMIE ELHADAD, GEORGE M HRIPCSAK · 1992 to 2026
$28.9M
A large scale investigation of the vaginal metagenome and metabolome and their role in spontaneous preterm birthR01HD106017 · NICHD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI KOREM, TAL · 2021 to 2025
$3.6M
NICHD NIH HHS R01 HD106017NIH HHS R01HD106017NIH HHS T15LM007079NLM NIH HHS T15 LM007079Program for Mathematical Genomics at Columbia University
6 · The paper itself

Abstract

As investigations of low-biomass microbial communities have become more common, so too has the recognition of major challenges affecting these analyses. These challenges have been shown to compromise biological conclusions and have contributed to several controversies. Here, we review some of the most common and influential challenges in low-biomass microbiome research. We highlight key approaches to alleviate these potential pitfalls, combining experimental planning strategies and data analysis methods.

Indexed as

BiomassData AnalysisMicrobiotaResearch DesignHumansbatch effectcontaminationexperimental designlow-biomass microbiomemicrobiome

Identifiers

PMID39189314
PMCPMC12445924

What OpenQuestion holds

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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.