Evidence map›Paper›PMID 36139068›Full record

ArticleBiomolecules2022

The Metabolomic Approach for the Screening of Endometrial Cancer: Validation from a Large Cohort of Women Scheduled for Gynecological Surgery.

Jacopo Troisi, Antonio Mollo, Martina Lombardi, Giovanni Scala, Sean M Richards, Steven J K Symes, Antonio Travaglino, Daniele Neola, Umberto de Laurentiis, Luigi Insabato and 3 more

Abstract read
In one paragraph

Article in Biomolecules, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

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

  1. Pooled it
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  5. Review
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  7. Article
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  12. Review
  13. Cervicovaginal Metabolome and Tumor Characteristics for Endometrial Cancer Detection and Risk Stratification.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
    Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Challenges and Opportunities for Data Science in Women's Health.Annual review of biomedical data science · 2023
    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

13 authors.

Jacopo TroisiDepartment of Medicine, Surgery and Dentistry, "Scuola Medica Salernitana", University of Salerno, 84081 Baronissi, Italy.ORCID 0000-0003-2962-7379
Antonio MolloDepartment of Medicine, Surgery and Dentistry, "Scuola Medica Salernitana", University of Salerno, 84081 Baronissi, Italy.
Martina LombardiTheoreo Srl, Via Degli Ulivi 3, 84090 Montecorvino Pugliano, Italy.ORCID 0000-0003-4453-6627
Giovanni ScalaTheoreo Srl, Via Degli Ulivi 3, 84090 Montecorvino Pugliano, Italy.
Sean M RichardsSection on Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of Tennessee College of Medicine, Chattanooga, TN 37403, USA.
Steven J K SymesDepartment of Biology, Geology and Environmental Sciences, University of Tennessee College of Medicine, Chattanooga, TN 37403, USA.ORCID 0000-0002-5741-439X
Antonio TravaglinoAnatomic Pathology Unit, Department of Advanced Biomedical Sciences, University of Naples Federico II, 80138 Naples, Italy.
Daniele NeolaGynecology and Obstetrics Unit, Department of Public Health, University of Naples Federico II, 80138 Naples, Italy.
Umberto de LaurentiisDepartment of Medicine, Surgery and Dentistry, "Scuola Medica Salernitana", University of Salerno, 84081 Baronissi, Italy.
Luigi InsabatoGynecology and Obstetrics Unit, Department of Public Health, University of Naples Federico II, 80138 Naples, Italy.
Attilio Di Spiezio SardoGynecology and Obstetrics Unit, Department of Public Health, University of Naples Federico II, 80138 Naples, Italy.
Antonio RaffoneDivision of Gynaecology and Human Reproduction Physiopathology, Department of Medical and Surgical Sciences (DIMEC), IRCCS Azienda Ospedaliero-Univeristaria di Bologna. S. Orsola Hospital, University of Bologna, Via Massarenti 13, 40138 Bologna, Italy.ORCID 0000-0001-5443-2333
Maurizio GuidaGynecology and Obstetrics Unit, Department of Neuroscience, Reproductive Sciences and Dentistry, University of Naples Federico II, 80138 Naples, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endometrial cancer (EC) is the most common gynecological neoplasm in high-income countries. Five-year survival rates are related to stage at diagnosis, but currently, no validated screening tests are available in clinical practice. The metabolome offers an unprecedented overview of the molecules underlying EC. In this study, we aimed to validate a metabolomics signature as a screening test for EC on a large study population of symptomatic women. Serum samples collected from women scheduled for gynecological surgery (

Indexed as

Endometrial NeoplasmsGlutamic AcidEarly Detection of CancerFemaleGlyceraldehyde 3-PhosphateGynecologic Surgical ProceduresHumansPhenylalanineSerineGlutamic AcidGlyceraldehyde 3-PhosphatePhenylalanineSerineendometrial cancerensemble machine learningmetabolomicsoncological screening

Identifiers

PMID36139068
PMCPMC9496630

What Socratic 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 Socratic graph.