Evidence map›Paper›PMID 28522663›Full record

SynthesisAJNR. American journal of neuroradiology2017

The Use of Noncontrast Quantitative MRI to Detect Gadolinium-Enhancing Multiple Sclerosis Brain Lesions: A Systematic Review and Meta-Analysis.

A Gupta, K Al-Dasuqi, F Xia, G Askin, Y Zhao, D Delgado, Y Wang

Open access · hybridAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in AJNR. American journal of neuroradiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

16 citing papers in PubMed, 35 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Gadolinium should always be used to assess disease activity in MS - Yes.Multiple sclerosis (Houndmills, Basingstoke, England) · 2020
    Article
  9. Article
  10. Article
  11. Review
  12. Observational
  13. Article
  14. Article
  15. Article
  16. 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

7 authors at 3 institutions in 2 countries.

A GuptaFrom the Department of Radiology (A.G., K.A.-D., F.X., Y.W.) ajg9004@med.cornell.edu.ORCID http://orcid.org/0000-0003-2816-0340
K Al-DasuqiFrom the Department of Radiology (A.G., K.A.-D., F.X., Y.W.).ORCID http://orcid.org/0000-0001-5737-1345
F XiaFrom the Department of Radiology (A.G., K.A.-D., F.X., Y.W.).ORCID http://orcid.org/0000-0001-6591-8769
G AskinDepartment of Healthcare Policy and Research (G.A., Y.Z.).ORCID http://orcid.org/0000-0001-5126-9809
Y ZhaoDepartment of Healthcare Policy and Research (G.A., Y.Z.).ORCID http://orcid.org/0000-0001-6283-2302
D DelgadoSamuel J. Wood Library and C.V. Starr Biomedical Information Center (D.D.), Weill Cornell Medicine, New York, New York.ORCID http://orcid.org/0000-0002-6290-3497
Y WangFrom the Department of Radiology (A.G., K.A.-D., F.X., Y.W.).ORCID http://orcid.org/0000-0003-1404-8526
Cornell University · USCenter For Policy Research · USX-Fab (Germany) · DE

Funding

Quantitative Mapping of Substantia Nigra Iron in Parkinson's DiseaseR01NS095562 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI SHTILBANS, ALEXANDER, WANG, YI · 2016 to 2022
$3.1M
Multiple Sclerosis Lesion Magnetic Susceptibility ActivityR01NS090464 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI WANG, YI · 2015 to 2020
$2.3M
Clinical Summer Immersion for Biomedical Engineering PhD StudentsT35EB006732 · NIBIB · WEILL MEDICAL COLL OF CORNELL UNIV · PI Robert J Min, MARTIN R PRINCE · 2006 to 2026
$2.0M
MRI method for quantitatively mapping cerebral microbleedsR01NS072370 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI WANG, YI · 2011 to 2015
$1.8M
NIBIB NIH HHS T35 EB006732NINDS NIH HHS R01 NS072370NINDS NIH HHS R01 NS090464NINDS NIH HHS R01 NS095562
6 · The paper itself

Abstract

backgroundConcerns have arisen about the long-term health effects of repeat gadolinium injections in patients with multiple sclerosis and the incomplete characterization of MS lesion pathophysiology that results from relying on enhancement characteristics alone. PURPOSE: Our aim was to perform a systematic review and meta-analysis analyzing whether noncontrast MR imaging biomarkers can distinguish enhancing and nonenhancing brain MS lesions. DATA SOURCES: Our sources were Ovid MEDLINE, Ovid Embase, and the Cochrane data base from inception to August 2016. STUDY SELECTION: We included 37 journal articles on 985 patients with MS who had MR imaging in which T1-weighted postcontrast sequences were compared with noncontrast sequences obtained during the same MR imaging examination by using ROI analysis of individual MS lesions. DATA ANALYSIS: We performed random-effects meta-analyses comparing the standard mean difference of each MR imaging metric taken from enhancing-versus-nonenhancing lesions. DATA SYNTHESIS: DTI-based fractional anisotropy values are significantly different between enhancing and nonenhancing lesions ( LIMITATIONS: MR imaging techniques and patient characteristics were variable across studies. Most studies did not provide diagnostic accuracy measures. All imaging metrics were not studied in all 37 studies.

conclusionsNoncontrast MR imaging techniques, such as DTI-based FA, can assess MS lesion acuity without gadolinium.

Indexed as

Contrast MediaGadoliniumAnisotropyBrainDiffusion Tensor ImagingHumansMagnetic Resonance ImagingMultiple SclerosisContrast MediaGadolinium

Identifiers

PMID28522663
PMCPMC5509500
OpenAlexW2615403880

What OpenQuestion holds

Textmetadata
LicenceTDM
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.