Evidence map›Paper›PMID 30078138›Full record

ReviewApplied microbiology and biotechnology2018

Conducting metagenomic studies in microbiology and clinical research.

Tiphaine C Martin, Alessia Visconti, Tim D Spector, Mario Falchi

Abstract readReview
In one paragraph

Review in Applied microbiology and biotechnology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Microbiota-Based Live Biotherapeutic Products forInfection and drug resistance · 2024
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Bacterial Metabolites of Human Gut Microbiota Correlating with Depression.International journal of molecular sciences · 2020
    Review
  17. Article
  18. Article
  19. Article
  20. Review
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

4 authors.

Tiphaine C MartinDepartment of Twin Research and Genetic Epidemiology, King's College London, London, UK.
Alessia ViscontiDepartment of Twin Research and Genetic Epidemiology, King's College London, London, UK.
Tim D SpectorDepartment of Twin Research and Genetic Epidemiology, King's College London, London, UK. tim.spector@kcl.ac.uk.
Mario FalchiDepartment of Twin Research and Genetic Epidemiology, King's College London, London, UK. mario.falchi@kcl.ac.uk.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Owing to the increased cost-effectiveness of high-throughput technologies, the number of studies focusing on the human microbiome and its connections to human health and disease has recently surged. However, best practices in microbiology and clinical research have yet to be clearly established. Here, we present an overview of the challenges and opportunities involved in conducting a metagenomic study, with a particular focus on data processing and analytical methods.

Indexed as

MetagenomicsBacteriaBacterial InfectionsClinical ProtocolsHigh-Throughput Nucleotide SequencingHumansMicrobiologyHuman microbiomeMetagenomicsMicrobiology and clinical researchNext generation sequencing

Identifiers

PMID30078138
PMCPMC6153607

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.