Evidence map›Paper›PMID 38426179›Full record

ArticleFrontiers in neurology2024

Emerging biomarkers for improving pregnancy planning in multiple sclerosis.

Juan Pablo Cuello, Ariana Meldaña Rivera, Enric Monreal, Ana Gómez Lozano, Ana Maria García Cano, Jose Manuel García Domínguez, José Ignacio Fernández Velasco, Lucienne Costa-Frossard França, Haydee Goicochea, Yolanda Higueras and 7 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 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
0.4field-weighted citation impact, top 42% 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, 1 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

17 authors at 4 institutions in 1 country.

Juan Pablo CuelloDepartment of Neurology, Hospital General Universitario Gregorio Marañón, Madrid, Spain.
Ariana Meldaña RiveraHealth Research Institute Gregorio Marañón, Madrid, Spain.
Enric MonrealDepartment of Neurology, Hospital Universitario Ramón y Cajal, Universidad de Alcalá, Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Red Española de Esclerosis Múltiple (REEM), Red de Enfermedades Inflamatorias (REI), Madrid, Spain.
Ana Gómez LozanoDepartment of Clinical Biochemistry, Hospital Universitario Ramón y Cajal, Madrid, Spain.
Ana Maria García CanoDepartment of Clinical Biochemistry, Hospital Universitario Ramón y Cajal, Madrid, Spain.
Jose Manuel García DomínguezDepartment of Neurology, Hospital General Universitario Gregorio Marañón, Madrid, Spain.
José Ignacio Fernández VelascoDepartment of Immunology, Hospital Universitario Ramón y Cajal, Universidad de Alcalá, Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Red Española de Esclerosis Múltiple (REEM), Red de Enfermedades Inflamatorias (REI), Madrid, Spain.
Lucienne Costa-Frossard FrançaDepartment of Neurology, Hospital Universitario Ramón y Cajal, Universidad de Alcalá, Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Red Española de Esclerosis Múltiple (REEM), Red de Enfermedades Inflamatorias (REI), Madrid, Spain.
Haydee GoicocheaDepartment of Neurology, Hospital General Universitario Gregorio Marañón, Madrid, Spain.
Yolanda HiguerasHealth Research Institute Gregorio Marañón, Madrid, Spain.
Juan Antonio De León-LuisHealth Research Institute Gregorio Marañón, Madrid, Spain.
Susana Sainz De La MazaDepartment of Neurology, Hospital Universitario Ramón y Cajal, Universidad de Alcalá, Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Red Española de Esclerosis Múltiple (REEM), Red de Enfermedades Inflamatorias (REI), Madrid, Spain.
Noelia VillarrubiaDepartment of Immunology, Hospital Universitario Ramón y Cajal, Universidad de Alcalá, Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Red Española de Esclerosis Múltiple (REEM), Red de Enfermedades Inflamatorias (REI), Madrid, Spain.
Ignacio Arribas GómezDepartment of Clinical Biochemistry, Hospital Universitario Ramón y Cajal, Madrid, Spain.
Irene Ruiz PerezDepartment of Neurology, Hospital General Universitario Gregorio Marañón, Madrid, Spain.
Maria Luisa Martinez GinésDepartment of Neurology, Hospital General Universitario Gregorio Marañón, Madrid, Spain.
Luisa María VillarDepartment of Immunology, Hospital Universitario Ramón y Cajal, Universidad de Alcalá, Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Red Española de Esclerosis Múltiple (REEM), Red de Enfermedades Inflamatorias (REI), Madrid, Spain.
Hospital General Universitario Gregorio Marañón · ESHospital Universitario Ramón y Cajal · ESInstituto Ramón y Cajal de Investigación Sanitaria · ESSpanish Multiple Sclerosis Network · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Patient disability, relapse rate, and age are used for family planning in multiple sclerosis (MS). However, the need for more accurate biomarkers is widely recognized. We aimed to explore the influence of age on neurofilament light chain (sNfL), which reflects acute inflammation; glial fibrillary acidic protein (GFAP), associated with disability progression independent of relapses; and anti-Müllerian hormone (AMH), reflecting ovarian reserve, to provide a tailored family planning strategy. Methods: This case-control study included 95 MS patients and 61 healthy control women (HCW). sNfL and GFAP levels were measured using a sensitive single-molecule array assay. AMH levels were measured by the automated Elecsys Results: We observed no significant differences in AMH values between MS patients and the control group within any of the age-matched categories. Age exhibited a negative correlation with AMH values in both groups, as expected. Nevertheless, our findings suggest a slight tendency toward reduced ovarian reserve in MS patients (rho MS patients = -0.67, Conclusion: We found no significant differences in AMH, sNfL or GFAP values between MS patients and the control group within any of the age-matched categories. The assessment of AMH, sNFL and GFAP levels at MS onset facilitates personalized therapeutic and family planning strategies for childbearing-age women.

Indexed as

antimüllerian hormoneglial fibrillary acidic proteinMultiple sclerosisneurofilament light chainpregnancy

Identifiers

PMID38426179
PMCPMC10902912
OpenAlexW4391843747

What OpenQuestion 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 OpenQuestion graph.