Evidence map›Paper›PMID 39202445›Full record

ArticleGenes2024

Carboxypeptidase Inhibitor LXN Expression in Endometrial Tissue Is Menstrual Cycle Phase-Dependent and Is Upregulated in Endometriotic Lesions.

Meruert Sarsenova, Artjom Stepanjuk, Merli Saare, Sergo Kasvandik, Pille Soplepmann, Iveta Mikeltadze, Martin Götte, Andres Salumets, Maire Peters

Abstract read
In one paragraph

Article in Genes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

9 authors.

Meruert SarsenovaDepartment of Obstetrics and Gynaecology, Institute of Clinical Medicine, University of Tartu, 50406 Tartu, Estonia.ORCID 0000-0001-9673-732X
Artjom StepanjukCompetence Centre on Health Technologies, 50411 Tartu, Estonia.
Merli SaareDepartment of Obstetrics and Gynaecology, Institute of Clinical Medicine, University of Tartu, 50406 Tartu, Estonia.
Sergo KasvandikCompetence Centre on Health Technologies, 50411 Tartu, Estonia.
Pille SoplepmannTartu University Hospital Women's Clinic, 50406 Tartu, Estonia.
Iveta MikeltadzeDepartment of Surgical and Gynecological Oncology, Tartu University Hospital, 50406 Tartu, Estonia.
Martin GötteDepartment of Gynecology, and Obstetrics, University Hospital of Münster, 48149 Münster, Germany.ORCID 0000-0003-2360-2496
Andres SalumetsDepartment of Obstetrics and Gynaecology, Institute of Clinical Medicine, University of Tartu, 50406 Tartu, Estonia.
Maire PetersDepartment of Obstetrics and Gynaecology, Institute of Clinical Medicine, University of Tartu, 50406 Tartu, Estonia.

Funding

Estonian Research Council PRG1076European Commission, and MSCA-RISE-2020 No. 101008193European Union's Horizon 2020 research and innovation MATER program No. 813707Horizon Europe No. 101120075
6 · The paper itself

Abstract

Endometriosis is a chronic hormone-dependent disease characterized by the spread of endometrial cells outside the uterus, which form endometriotic lesions and disrupt the functions of the affected organs. The etiopathogenesis of endometriosis is still unclear, and thus it is important to examine the genes that may contribute to the establishment of endometriotic lesions. The aim of this study was to investigate the expression of new potential candidate gene

Indexed as

EndometriosisEndometriumMenstrual CycleUp-RegulationAdultCarboxypeptidasesCell MovementCell ProliferationFemaleHumansStromal CellsCarboxypeptidasesendometriosisendometriumgene expressionLatexinLXNmenstrual cycle

Identifiers

PMID39202445
PMCPMC11353285

What OpenQuestion holds

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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.