Evidence map›Paper›PMID 33888456›Full record

ArticleAJNR. American journal of neuroradiology2021

Unraveling Deep Gray Matter Atrophy and Iron and Myelin Changes in Multiple Sclerosis.

G Pontillo, M Petracca, S Monti, M Quarantelli, C Criscuolo, R Lanzillo, E Tedeschi, A Elefante, V Brescia Morra, A Brunetti and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in AJNR. American journal of neuroradiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 pooled it
5.5field-weighted citation impact, top 3% 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

28 citing papers in PubMed, 2 syntheses or guidelines pooled it, 46 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

12 authors at 3 institutions in 2 countries.

G PontilloFrom the Departments of Advanced Biomedical Sciences (G.P., E.T., A.E., A.B., S.C.).ORCID 0000-0001-5425-1890
M PetraccaNeurosciences and Reproductive and Odontostomatological Sciences (M.P., C.C., R.L., V.B.M.), University "Federico II," Naples, Italy.ORCID 0000-0001-9429-2769
S MontiInstitute of Biostructure and Bioimaging, (S.M., M.Q., G.P.) National Research Council, Naples, Italy.ORCID 0000-0002-8777-7837
M QuarantelliInstitute of Biostructure and Bioimaging, (S.M., M.Q., G.P.) National Research Council, Naples, Italy.ORCID 0000-0001-7836-454X
C CriscuoloNeurosciences and Reproductive and Odontostomatological Sciences (M.P., C.C., R.L., V.B.M.), University "Federico II," Naples, Italy.ORCID 0000-0003-0087-2397
R LanzilloNeurosciences and Reproductive and Odontostomatological Sciences (M.P., C.C., R.L., V.B.M.), University "Federico II," Naples, Italy.ORCID 0000-0001-6388-8180
E TedeschiFrom the Departments of Advanced Biomedical Sciences (G.P., E.T., A.E., A.B., S.C.).ORCID 0000-0002-0511-0132
A ElefanteFrom the Departments of Advanced Biomedical Sciences (G.P., E.T., A.E., A.B., S.C.).ORCID 0000-0002-9093-7096
V Brescia MorraNeurosciences and Reproductive and Odontostomatological Sciences (M.P., C.C., R.L., V.B.M.), University "Federico II," Naples, Italy.ORCID 0000-0003-0462-9618
A BrunettiFrom the Departments of Advanced Biomedical Sciences (G.P., E.T., A.E., A.B., S.C.) brunetti@unina.it.ORCID 0000-0001-7057-3494
S CocozzaFrom the Departments of Advanced Biomedical Sciences (G.P., E.T., A.E., A.B., S.C.) brunetti@unina.it.ORCID 0000-0002-0300-5160
G PalmaInstitute of Biostructure and Bioimaging, (S.M., M.Q., G.P.) National Research Council, Naples, Italy brunetti@unina.it.ORCID 0000-0002-0210-268X
Advanced Pharma · USFederico II University Hospital · ITInstitute of Biostructure and Bioimaging · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeModifications of magnetic susceptibility have been consistently demonstrated in the subcortical gray matter of MS patients, but some uncertainties remain concerning the underlying neurobiological processes and their clinical relevance. We applied quantitative susceptibility mapping and longitudinal relaxation rate relaxometry to clarify the relative contribution of atrophy and iron and myelin changes to deep gray matter damage and disability in MS. MATERIALS AND

methodsQuantitative susceptibility mapping and longitudinal relaxation rate maps were computed for 91 patients and 55 healthy controls from MR images acquired at 3T. Applying an external model, we estimated iron and myelin concentration maps for all subjects. Subsequently, changes of deep gray matter iron and myelin concentration (atrophy-dependent) and content (atrophy-independent) were investigated globally (bulk analysis) and regionally (voxel-based and atlas-based thalamic subnuclei analyses). The clinical impact of the observed MRI modifications was evaluated via regression models.

resultsWe identified reduced thalamic (

conclusionsQuantitative MRI suggests an atrophy-related iron increase within the basal ganglia of patients with MS, along with an atrophy-independent reduction of thalamic iron and myelin correlating with disability. Absolute depletions of thalamic iron and myelin may represent sensitive markers of subcortical GM damage, which add to the clinical impact of thalamic atrophy in MS.

Indexed as

BrainGray MatterMultiple SclerosisMyelin SheathAtrophyBrain ChemistryHumansIronMagnetic Resonance ImagingIron

Identifiers

PMID33888456
PMCPMC8324266
OpenAlexW3156028625

What OpenQuestion holds

Textmetadata
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.