Evidence map›Paper›PMID 35861854›Full record

ArticleJournal of neurology2022

Acute corticospinal tract diffusion tensor imaging predicts 6-month functional outcome after intracerebral haemorrhage.

G Schwarz, B Kanber, F Prados, S Browning, R Simister, R Jäger, G Ambler, C A M Gandini Wheeler-Kingshott, David J Werring

Open access · hybridAbstract read
In one paragraph

Article in Journal of neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

12 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

9 authors at 5 institutions in 3 countries.

G SchwarzNeurologia, Stroke Unit, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy.
B KanberNMR Research Unit, Department of Neuroinflammation, Faculty of Brain Sciences, Queen Square Multiple Sclerosis Centre, Queen Square Institute of Neurology, University College London (UCL), London, UK.
F PradosNMR Research Unit, Department of Neuroinflammation, Faculty of Brain Sciences, Queen Square Multiple Sclerosis Centre, Queen Square Institute of Neurology, University College London (UCL), London, UK.
S BrowningDepartment of Brain Repair and Rehabilitation, Stroke Research Centre, UCL Queen Square Institute of Neurology, National Hospital for Neurology and Neurosurgery, University College London, Queen Square, London, WC1N, UK.
R SimisterDepartment of Brain Repair and Rehabilitation, Stroke Research Centre, UCL Queen Square Institute of Neurology, National Hospital for Neurology and Neurosurgery, University College London, Queen Square, London, WC1N, UK.
R JägerLysholm Department of Neuroradiology and the Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, Queen Square, London, UK.
G AmblerDepartment of Statistical Science, University College London, Gower Street, London, UK.
C A M Gandini Wheeler-KingshottNMR Research Unit, Department of Neuroinflammation, Faculty of Brain Sciences, Queen Square Multiple Sclerosis Centre, Queen Square Institute of Neurology, University College London (UCL), London, UK.
David J WerringDepartment of Brain Repair and Rehabilitation, Stroke Research Centre, UCL Queen Square Institute of Neurology, National Hospital for Neurology and Neurosurgery, University College London, Queen Square, London, WC1N, UK. d.werring@ucl.ac.uk.ORCID http://orcid.org/0000-0003-2074-1861
National Hospital for Neurology and Neurosurgery · GBQueen Mary University of London · GBAzienda Socio Sanitaria Territoriale Grande Ospedale Metropolitano Niguarda · ITUniversitat Oberta de Catalunya · ESUniversity College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDiffusion tensor imaging (DTI) can assess the structural integrity of the corticospinal tract (CST) in vivo. We aimed to investigate whether CST DTI metrics after intracerebral haemorrhage (ICH) are associated with 6-month functional outcome and can improve the predictive performance of the existing ICH score.

methodsWe retrospectively included 42 patients with DTI performed within 5 days after deep supratentorial spontaneous ICH. Ipsilesional-to-contralesional ratios were calculated for fractional anisotropy (rFA) and mean diffusivity (rMD) in the pontine segment (PS) of the CST. We determined the most predictive variables for poor 6-month functional outcome [modified Rankin Scale (mRS) > 2] using the least absolute shrinkage and selection operator (LASSO) method. We calculated discrimination using optimism-adjusted estimation of the area under the curve (AUC).

resultsPatients with 6-month mRS > 2 had lower rFA (0.945 [± 0.139] vs 1.045 [± 0.130]; OR 0.004 [95% CI 0.00-0.77]; p =  0.04) and higher rMD (1.233 [± 0.418] vs 0.963 [± 0.211]; OR 22.5 [95% CI 1.46-519.68]; p = 0.02). Discrimination (AUC) values were: 0.76 (95% CI 0.61-0.91) for the ICH score, 0.71 (95% CI 0.54-0.89) for rFA, and 0.72 (95% CI 0.61-0.91) for rMD. Combined models with DTI and non-DTI variables offer an improvement in discrimination: for the best model, the AUC was 0.82 ([95% CI 0.68-0.95]; p = 0.15).

conclusionIn our exploratory study, PS-CST rFA and rMD had comparable predictive ability to the ICH score for 6-month functional outcome. Adding DTI metrics to clinical-radiological scores might improve discrimination, but this needs to be investigated in larger studies.

Indexed as

Diffusion Tensor ImagingPyramidal TractsAnisotropyCerebral HemorrhageHumansRetrospective StudiesCorticospinal tractDeep intracerebral haemorrhageFractional anisotropyICH scoreMean diffusivityOutcome prediction

Identifiers

PMID35861854
PMCPMC9553831
OpenAlexW4286489348

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.