Article in Journal of neural engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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.
Alexandra-Maria TăuțanMassachusetts General Hospital/Harvard Medical School, Department of Neurology, Value Based Health Care Center, Neurology Comparative Effectiveness Research Lab, Boston, United States of America.ORCID 0000-0003-4933-7627
Jin JingBeth Israel Deaconess Medical Center/Harvard Medical School, Department of Neurology, Clinical Data Animation Center, Boston, United States of America.
Lara BasovicMassachusetts General Hospital/Harvard Medical School, Department of Neurology, Value Based Health Care Center, Neurology Comparative Effectiveness Research Lab, Boston, United States of America.
Peter N HadarMassachusetts General Hospital/Harvard Medical School, Department of Neurology, Value Based Health Care Center, Neurology Comparative Effectiveness Research Lab, Boston, United States of America.ORCID 0000-0002-1681-4717
Shadi SartipiMassachusetts General Hospital/Harvard Medical School, Department of Neurology, Value Based Health Care Center, Neurology Comparative Effectiveness Research Lab, Boston, United States of America.
Marta P FernandesMassachusetts General Hospital/Harvard Medical School, Department of Neurology, Value Based Health Care Center, Neurology Comparative Effectiveness Research Lab, Boston, United States of America.ORCID 0000-0002-7203-2832
Jennifer KimDepartment of Neurology, Yale University School of Medicine, New Haven, United States of America.
Aaron F StruckWashington University in St. Louis Department of Neurology, St. Louis, MO, United States of America.ORCID 0000-0002-9103-1798
M Brandon WestoverBeth Israel Deaconess Medical Center/Harvard Medical School, Department of Neurology, Clinical Data Animation Center, Boston, United States of America.
Sahar F ZafarMassachusetts General Hospital/Harvard Medical School, Department of Neurology, Value Based Health Care Center, Neurology Comparative Effectiveness Research Lab, Boston, United States of America.
Funding
Prospective Validation of Neurophysiologic Outcome Prediction in Acute Brain InjuryR01NS126282 · NINDS · BETH ISRAEL DEACONESS MEDICAL CENTER · PI Aaron F Struck, Michael Brandon Westover · 2023 to 2026
$2.9M
Big Data and Deep Learning for the Interictal-Ictal-Injury ContiuumR01NS107291 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI WESTOVER, MICHAEL BRANDON · 2018 to 2022
$2.8M
Comparative Effectiveness of EEG-Guided Anti-Seizure Treatment in Acute Brain InjuryR01NS131347 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI Sahar F Zafar · 2024 to 2026
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.
Automated estimation of frequency and spatial extent of periodic and rhythmic epileptiform activity from continuous electroencephalography data. · full record | OpenQuestion