Using machine learning to extract cognitive status from the sleep EEG in progressing stages of dementia: defining interpretable and age-related features.
Article in Sleep, 2023. 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.
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
4 authors.
Korey KamMount Sinai Integrative Sleep Center, Division of Pulmonary, Critical Care, and Sleep Medicine, and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID 0000-0001-7011-9080
Ankit ParekhMount Sinai Integrative Sleep Center, Division of Pulmonary, Critical Care, and Sleep Medicine, and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID 0000-0002-5396-0553
Sajila WickramaratneMount Sinai Integrative Sleep Center, Division of Pulmonary, Critical Care, and Sleep Medicine, and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Andrew W VargaMount Sinai Integrative Sleep Center, Division of Pulmonary, Critical Care, and Sleep Medicine, and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID 0000-0002-3668-3371
Funding
Impact of sleep apnea and its treatment on memory and tau accumulation in the brainR01AG066870 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI OSORIO, RICARDO S, VARGA, ANDREW W · 2020 to 2024
$3.7M
Role of slow waves and sleep apnea in memory and risk for Alzheimer diseaseR01AG056682 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI VARGA, ANDREW W · 2017 to 2021
$3.5M
Sustained Attention Neuroimaging in Sleep ApneaK25HL151912 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI PAREKH, ANKIT ASHOK · 2021 to 2025
$775k
Reimagining the diagnosis of obstructive sleep apnea beyond the apnea-hypopnea indexR21HL165320 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI PAREKH, ANKIT ASHOK, RAPOPORT, DAVID M · 2022 to 2023
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.
Using machine learning to extract cognitive status from the sleep EEG in progressing stages of dementia: defining interpretable and age-related features. · full record | OpenQuestion