Evidence map›Paper›PMID 40236582›Full record

ArticleTrends in analytical chemistry : TRAC2024

A Reproducibility Crisis for Clinical Metabolomics Studies.

Darcy Cochran, Mai NourEldein, Dominika Bezdekova, Aaron Schram, Réka Howard, Robert Powers

Abstract read
In one paragraph

Article in Trends in analytical chemistry : TRAC, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. Review
  9. Review
  10. Review
  11. Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Review
  17. Review
  18. Article
  19. Plasma metabolomic analysis in Thai EGFR-mutated non-small cell lung cancer patients.Computational and structural biotechnology journal · 2025
    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

6 authors.

Darcy CochranDepartment of Chemistry, University of Nebraska-Lincoln, Lincoln, Nebraska, 68588-0304, USA.
Mai NourEldeinDepartment of Chemistry, University of Nebraska-Lincoln, Lincoln, Nebraska, 68588-0304, USA.
Dominika BezdekovaDepartment of Chemistry, University of Nebraska-Lincoln, Lincoln, Nebraska, 68588-0304, USA.
Aaron SchramDepartment of Statistics, University of Nebraska - Lincoln, Lincoln, Nebraska, 68583-0963, USA.
Réka HowardDepartment of Statistics, University of Nebraska - Lincoln, Lincoln, Nebraska, 68583-0963, USA.
Robert PowersDepartment of Chemistry, University of Nebraska-Lincoln, Lincoln, Nebraska, 68588-0304, USA.

Funding

Targeted mass spectrometry approaches to understand CART processing and recepter interactionsP20GM113126 · NIGMS · UNIVERSITY OF NEBRASKA LINCOLN · PI POWERS, ROBERT · 2016 to 2025
$20.8M
EXTRAMURAL RESEARCH FACILITIES CONSTRUCTIONC06RR015468 · NCRR · UNIVERSITY OF NEBRASKA LINCOLN · PI PAUL, PREM S · 2000 to 2000
$2.0M
NCRR NIH HHS C06 RR015468NIGMS NIH HHS P20 GM113126
6 · The paper itself

Abstract

Cancer is a leading cause of world-wide death and a major subject of clinical studies focused on the identification of new diagnostic tools. An in-depth meta-analysis of 244 clinical metabolomics studies of human serum samples highlights a reproducibility crisis. A total of 2,206 unique metabolites were reported as statistically significant across the 244 studies, but 72% (1,582) of these metabolites were identified by only one study. Further analysis shows a random disparate disagreement in reported directions of metabolite concentration changes when detected by multiple studies. Statistical models revealed that 1,867 of the 2,206 metabolites (85%) are simply statistical noise. Only 3 to 12% of these metabolites reach the threshold of statistical significance for a specific cancer type. Our findings demonstrate the absence of a detectable metabolic response to cancer and provide evidence of a serious need by the metabolomics community to establish widely accepted best practices to improve future outcomes.

Indexed as

cancer biomarkersclinical metabolomicsmass spectrometrymeta-analysisNMR

Identifiers

PMID40236582
PMCPMC11999569

What OpenQuestion holds

Textmetadata
LicenceTDM
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.