Evidence map›Paper›PMID 36341122›Full record

ArticleFrontiers in neurology2022

Quantitative susceptibility mapping (QSM) and R2

Russell Murdoch, Hanne Stotesbury, Jamie M Kawadler, Dawn E Saunders, Fenella J Kirkham, Karin Shmueli

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2022. 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
0.6field-weighted citation impact, top 30% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  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

6 authors at 3 institutions in 1 country.

Russell MurdochDepartment of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom.
Hanne StotesburyDevelopmental Neurosciences, UCL Great Ormond Street Institute of Child Health, London, United Kingdom.
Jamie M KawadlerDevelopmental Neurosciences, UCL Great Ormond Street Institute of Child Health, London, United Kingdom.
Dawn E SaundersDevelopmental Neurosciences, UCL Great Ormond Street Institute of Child Health, London, United Kingdom.
Fenella J KirkhamDevelopmental Neurosciences, UCL Great Ormond Street Institute of Child Health, London, United Kingdom.
Karin ShmueliDepartment of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom.
University College London · GBGreat Ormond Street Hospital · GBUniversity Hospital Southampton NHS Foundation Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Silent cerebral infarction (SCI) is the most commonly reported radiological abnormality in patients with sickle cell anemia (SCA) and is associated with future clinical stroke risk. To date, there have been few histological and quantitative MRI studies of SCI and multiple radiological definitions exist. As a result, the tissue characteristics and composition of SCI remain elusive. The objective of this work was therefore to investigate the composition of segmented SCI lesions using quantitative MRI for R

Indexed as

compositioninfarctionmagnetic susceptibilityquantitative susceptibility mapping (QSM)R2*sickle cell anemia (SCA)silent cerebral infarction (SCI)

Identifiers

PMID36341122
PMCPMC9632444
OpenAlexW4306879920

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.