Evidence map›Paper›PMID 38256598›Full record

ArticleJournal of clinical medicine2024

Oral Contraceptives Interact with Adiposity-Associated Markers in Patients with Multiple Sclerosis.

Véronique Ferret-Sena, Catarina Ramos, Maria João Cascais, Carlos Capela, Armando Sena

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.3field-weighted citation impact, top 23% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Review
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

5 authors at 3 institutions in 1 country.

Véronique Ferret-SenaEgas Moniz Center for Interdisciplinary Research (CiiEM), Egas Moniz School of Health & Science, Caparica, 2829-511 Almada, Portugal.
Catarina RamosEgas Moniz Center for Interdisciplinary Research (CiiEM), Egas Moniz School of Health & Science, Caparica, 2829-511 Almada, Portugal.
Maria João CascaisNutritional Biochemistry, NOVA Medical School, Universidade Nova de Lisboa, 1150-199 Lisbon, Portugal.
Carlos CapelaCentro de Responsabilidade Integrado de Esclerose Múltipla, Hospital Santo António dos Capuchos, Centro Hospitalar Universitário Lisboa Central, EPE, 1169-050 Lisbon, Portugal.
Armando SenaEgas Moniz Center for Interdisciplinary Research (CiiEM), Egas Moniz School of Health & Science, Caparica, 2829-511 Almada, Portugal.ORCID 0000-0002-5021-5769
Escola Superior de Saúde Egas Moniz · PTHospital Santo António dos Capuchos · PTUniversidade Nova de Lisboa · PT

Funding

Fundação para a Ciência e Tecnologia UIDB/04585/2020
6 · The paper itself

Abstract

Growing evidence suggests the involvement of adipose tissue in modulating the clinical course of relapsing-remitting multiple sclerosis (RRMS). This study aimed to investigate whether the intake of combined oral contraceptives (COCs) affects body weight and leptin and adiponectin (APN) blood levels in these patients. Clinical data from 62 women (M = 33.23 year) were recorded prior to the initiation of disease-modifying therapy. Patients who were taking COCs at the time of experiencing the first symptoms of disease (COC user) were compared with those who never used these formulations or stopped taking them before disease onset (COC non-user). Bivariate Pearson's correlations and hierarchical multiple linear regressions analysis were conducted. Normalized APN levels were lower in the COC-using patients (

Indexed as

adiponectinadiposityageingmultiple sclerosisoral contraceptives

Identifiers

PMID38256598
PMCPMC10816152
OpenAlexW4390878366

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.