Header Logo

Connection

Edward Feldmann to Recurrence

This is a "connection" page, showing publications Edward Feldmann has written about Recurrence.
Connection Strength

0.215
  1. Prabhakaran S, Liebeskind DS, Cotsonis G, Nizam A, Feldmann E, Sangha RS, Campo-Bustillo I, Romano JG. Lipid Levels and Short-Term Risk of Recurrent Brain Infarcts in Symptomatic Intracranial Stenosis. J Stroke Cerebrovasc Dis. 2022 Jan; 31(1):106141.
    View in: PubMed
    Score: 0.041
  2. Prabhakaran S, Liebeskind DS, Cotsonis G, Nizam A, Feldmann E, Sangha RS, Campo-Bustillo I, Romano JG. Predictors of Early Infarct Recurrence in Patients With Symptomatic Intracranial Atherosclerotic Disease. Stroke. 2021 06; 52(6):1961-1966.
    View in: PubMed
    Score: 0.039
  3. Romano JG, Prabhakaran S, Nizam A, Feldmann E, Sangha R, Cotsonis G, Campo-Bustillo I, Koch S, Rundek T, Chimowitz MI, Liebeskind DS. Infarct Recurrence in Intracranial Atherosclerosis: Results from the MyRIAD Study. J Stroke Cerebrovasc Dis. 2021 Feb; 30(2):105504.
    View in: PubMed
    Score: 0.038
  4. Liebeskind DS, Prabhakaran S, Azhar N, Feldmann E, Campo-Bustillo I, Sangha R, Koch S, Rundek T, Ostergren L, Chimowitz MI, Romano JG. Mechanisms of early Recurrence in Intracranial Atherosclerotic Disease (MyRIAD): Rationale and design. J Stroke Cerebrovasc Dis. 2020 Oct; 29(10):105051.
    View in: PubMed
    Score: 0.037
  5. Yaghi S, Cotsonis G, de Havenon A, Prahbakaran S, Romano JG, Lazar RM, Marshall RS, Feldmann E, Liebeskind DS. Poststroke Montreal Cognitive Assessment and Recurrent Stroke in Patients With Symptomatic Intracranial Atherosclerosis. J Stroke Cerebrovasc Dis. 2020 Apr; 29(4):104663.
    View in: PubMed
    Score: 0.036
  6. Leng X, Scalzo F, Ip HL, Johnson M, Fong AK, Fan FS, Chen X, Soo YO, Miao Z, Liu L, Feldmann E, Leung TW, Liebeskind DS, Wong KS. Computational fluid dynamics modeling of symptomatic intracranial atherosclerosis may predict risk of stroke recurrence. PLoS One. 2014; 9(5):e97531.
    View in: PubMed
    Score: 0.024
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.