Evidence map›Paper›PMID 37327793›Full record

ArticlePhysiological measurement2023

Automatic identification of intracranial pressure waveform during external ventricular drainage clamping: segmentation via wavelet analysis.

Murad Megjhani, Kalijah Terilli, Soon Bin Kwon, Daniel Nametz, Bennett Weinerman, Angela Velazquez, Shivani Ghoshal, David Roh, Sachin Agarwal, E Sander Connolly and 2 more

Abstract read
In one paragraph

Article in Physiological measurement, 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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

12 authors.

Murad MegjhaniDepartment of Neurology, Columbia University, NY, United States of America.ORCID 0000-0002-7613-6444
Kalijah TerilliDepartment of Neurology, Columbia University, NY, United States of America.
Soon Bin KwonDepartment of Neurology, Columbia University, NY, United States of America.
Daniel NametzDepartment of Neurology, Columbia University, NY, United States of America.
Bennett WeinermanProgram for Hospital and Intensive Care Informatics, Department of Neurology, Columbia University, NY, United States of America.
Angela VelazquezDepartment of Neurology, Columbia University, NY, United States of America.
Shivani GhoshalDepartment of Neurology, Columbia University, NY, United States of America.
David RohDepartment of Neurology, Columbia University, NY, United States of America.
Sachin AgarwalDepartment of Neurology, Columbia University, NY, United States of America.
E Sander ConnollyNewYork-Presbyterian Hospital at Columbia University Irving Medical Center, NY, United States of America.
Jan ClaassenDepartment of Neurology, Columbia University, NY, United States of America.
Soojin ParkDepartment of Neurology, Columbia University, NY, United States of America.

Funding

Machine Learning to Optimize Management of Acute HydrocephalusR01NS131606 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Soojin Park · 2023 to 2026
$2.6M
Machine Learning to Optimize Management of Acute Hydrocephalus PatientsR21NS113055 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI PARK, SOOJIN · 2020 to 2020
$446k
NINDS NIH HHS R01 NS131606NINDS NIH HHS R21 NS113055
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Subarachnoid HemorrhageConstrictionFemaleHumansIntracranial PressureMaleWavelet Analysisintracranial pressureneurocritical caresignal processingwavelet analysis

Identifiers

PMID37327793
PMCPMC10403046

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.