Evidence map›Paper›PMID 35611322›Full record

ArticleJournal of the Endocrine Society2022

Metabolomic Profiling of Peripheral Plasma by GC-MS and Correlation With Size of Uterine Leiomyomas.

Gustavo Anderman Silva Barison, Paulo D'Amora, Mário Augusto Izidoro, Mariana Corinti, Luísa Marcella Martins, Claudio Emílio Bonduki, Rodrigo de Aquino Castro, Manoel João Batista Castello Girão, Mariano Tamura Vieira Gomes

Open access · goldAbstract read
In one paragraph

Article in Journal of the Endocrine Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Precancer exercise capacity and metabolism during tumor development coordinate the skeletal muscle-tumor metabolic competition.Proceedings of the National Academy of Sciences of the United States of America · 2025
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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

9 authors at 1 institution in 1 country.

Gustavo Anderman Silva BarisonDepartment of Gynecology, Federal University of Sao Paulo, Sao Paulo, Brazil.ORCID https://orcid.org/0000-0002-6865-3468
Paulo D'AmoraDepartment of Gynecology, Federal University of Sao Paulo, Sao Paulo, Brazil.ORCID https://orcid.org/0000-0002-3379-5802
Mário Augusto IzidoroSpectrometry Laboratory; Beneficent Association for Blood Collection (COLSAN), Sao Paulo, Brazil.
Mariana CorintiDepartment of Gynecology, Federal University of Sao Paulo, Sao Paulo, Brazil.ORCID https://orcid.org/0000-0003-2341-5340
Luísa Marcella MartinsDepartment of Gynecology, Federal University of Sao Paulo, Sao Paulo, Brazil.ORCID https://orcid.org/0000-0001-8470-8126
Claudio Emílio BondukiDepartment of Gynecology, Federal University of Sao Paulo, Sao Paulo, Brazil.ORCID https://orcid.org/0000-0003-1396-5576
Rodrigo de Aquino CastroDepartment of Gynecology, Federal University of Sao Paulo, Sao Paulo, Brazil.
Manoel João Batista Castello GirãoDepartment of Gynecology, Federal University of Sao Paulo, Sao Paulo, Brazil.ORCID https://orcid.org/0000-0002-1206-9377
Mariano Tamura Vieira GomesDepartment of Gynecology, Federal University of Sao Paulo, Sao Paulo, Brazil.ORCID https://orcid.org/0000-0002-4719-4311
Universidade Federal de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Uterine leiomyomas are benign monoclonal tumors originating from the myometrium. Little information exists concerning metabolomics and the presence of leiomyomas. Objective: The present study evaluated circulating metabolites in the plasma and their correlation with the presence and size of leiomyomas. Study Design: Cross-sectional observational study, including women divided into 3 groups: 37 with leiomyomas and uterus >500 cm Results: There was no statistical difference between patients' anthropometric and demographic features and laboratory tests. Statistical differences in uterus volume ( Conclusion: There are different plasma metabolites levels of amino acids, fatty acids, and carbohydrates among patients with leiomyomas, most of them reduced, but some significantly increased in large leiomyomas, compared to leiomyoma-free patients.

Indexed as

biomarkersleiomyomalipidomicsmetabolomicsplasma metabolites

Identifiers

PMID35611322
PMCPMC9123306
OpenAlexW4224037140

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.