Evidence map›Paper›PMID 32664690›Full record

ReviewMetabolites2020

Find the Needle in the Haystack, Then Find It Again: Replication and Validation in the 'Omics Era.

Wei Perng, Stella Aslibekyan

Open access · goldAbstract readReview
In one paragraph

Review in Metabolites, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 2 pooled it
1.8field-weighted citation impact, top 14% of its field
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

35 citing papers in PubMed, 2 syntheses or guidelines pooled it, 45 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Observational
  6. Fungal ecology in the age of 'omics.The New phytologist · 2026
    Review
  7. Co-expression network multivariate regression.Briefings in bioinformatics · 2026
    Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
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  19. Review
  20. 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 at 2 institutions in 1 country.

Wei PerngDepartment of Epidemiology, Colorado School of Public Health, University of Colorado Denver Anschutz Medical Campus, Aurora, CO 80045, USA.ORCID 0000-0001-8552-6850
Stella AslibekyanDepartment of Epidemiology, University of Alabama at Birmingham, Birmingham, AL 35294, USA.
Colorado School of Public Health · USUniversity of Alabama at Birmingham · US

Funding

Institutional Career Development CoreKL2TR002534 · NCATS · UNIVERSITY OF COLORADO DENVER · PI BURNHAM, ELLEN L · 2018 to 2022
$4.6M
Colorado Clinical and Translational Sciences Institute KL2-TR002534NCATS NIH HHS KL2 TR002534
6 · The paper itself

Abstract

Advancements in high-throughput technologies have made it feasible to study thousands of biological pathways simultaneously for a holistic assessment of health and disease risk via 'omics platforms. A major challenge in 'omics research revolves around the reproducibility of findings-a feat that hinges upon balancing false-positive associations with generalizability. Given the foundational role of reproducibility in scientific inference, replication and validation of 'omics findings are cornerstones of this effort. In this narrative review, we define key terms relevant to replication and validation, present issues surrounding each concept with historical and contemporary examples from genomics (the most well-established and upstream 'omics), discuss special issues and unique considerations for replication and validation in metabolomics (an emerging field and most downstream 'omics for which best practices remain yet to be established), and make suggestions for future research leveraging multiple 'omics datasets.

Indexed as

genomicsintegrative ‘omicsmetabolomics‘omicsreplicationvalidation

Identifiers

PMID32664690
PMCPMC7408356
OpenAlexW3041732233

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.