Evidence map›Paper›PMID 34899579›Full record

ArticleFrontiers in neurology2021

Assessing Lumbar Plexus and Sciatic Nerve Damage in Relapsing-Remitting Multiple Sclerosis Using Magnetisation Transfer Ratio.

Ratthaporn Boonsuth, Rebecca S Samson, Carmen Tur, Marco Battiston, Francesco Grussu, Torben Schneider, Masami Yoneyama, Ferran Prados, Antrea Ttofalla, Sara Collorone and 4 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. An integrative nomogram based on MRI radiomics and clinical characteristics for prognosis prediction in cervical spinal cord Injury.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2025
    Article
  2. Article
  3. Article
  4. Observational
  5. Article
  6. 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

14 authors at 6 institutions in 4 countries.

Ratthaporn BoonsuthNuclear Magnetic Resonance Research Unit, Queen Square MS Centre, Department of Neuroinflammation, University College London Queen Square Institute of Neurology, University College London, London, United Kingdom.
Rebecca S SamsonNuclear Magnetic Resonance Research Unit, Queen Square MS Centre, Department of Neuroinflammation, University College London Queen Square Institute of Neurology, University College London, London, United Kingdom.
Carmen TurNuclear Magnetic Resonance Research Unit, Queen Square MS Centre, Department of Neuroinflammation, University College London Queen Square Institute of Neurology, University College London, London, United Kingdom.
Marco BattistonNuclear Magnetic Resonance Research Unit, Queen Square MS Centre, Department of Neuroinflammation, University College London Queen Square Institute of Neurology, University College London, London, United Kingdom.
Francesco GrussuNuclear Magnetic Resonance Research Unit, Queen Square MS Centre, Department of Neuroinflammation, University College London Queen Square Institute of Neurology, University College London, London, United Kingdom.
Torben SchneiderPhilips Healthcare, Guildford, Surrey, United Kingdom.
Masami YoneyamaPhilips Japan, Minatoku, Tokyo, Japan.
Ferran PradosNuclear Magnetic Resonance Research Unit, Queen Square MS Centre, Department of Neuroinflammation, University College London Queen Square Institute of Neurology, University College London, London, United Kingdom.
Antrea TtofallaNuclear Magnetic Resonance Research Unit, Queen Square MS Centre, Department of Neuroinflammation, University College London Queen Square Institute of Neurology, University College London, London, United Kingdom.
Sara ColloroneNuclear Magnetic Resonance Research Unit, Queen Square MS Centre, Department of Neuroinflammation, University College London Queen Square Institute of Neurology, University College London, London, United Kingdom.
Rosa CorteseNuclear Magnetic Resonance Research Unit, Queen Square MS Centre, Department of Neuroinflammation, University College London Queen Square Institute of Neurology, University College London, London, United Kingdom.
Olga CiccarelliNuclear Magnetic Resonance Research Unit, Queen Square MS Centre, Department of Neuroinflammation, University College London Queen Square Institute of Neurology, University College London, London, United Kingdom.
Claudia A M Gandini Wheeler-KingshottNuclear Magnetic Resonance Research Unit, Queen Square MS Centre, Department of Neuroinflammation, University College London Queen Square Institute of Neurology, University College London, London, United Kingdom.
Marios C YiannakasNuclear Magnetic Resonance Research Unit, Queen Square MS Centre, Department of Neuroinflammation, University College London Queen Square Institute of Neurology, University College London, London, United Kingdom.
Resonance Research (United States) · USNational Hospital for Neurology and Neurosurgery · GBQueen Mary University of London · GBUniversity College London · GBPhilips (United Kingdom) · GBVall d'Hebron Hospital Universitari · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

magnetic resonance neurography (MRN)magnetisation transfer ratio (MTR)multiple sclerosisperipheral nervous system (PNS)relapsing-remitting multiple sclerosis (RRMS)

Identifiers

PMID34899579
PMCPMC8654928
OpenAlexW3217291519

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.