Evidence map›Paper›PMID 33437846›Full record

ArticleNeurophotonics2021

Improved accuracy of cerebral blood flow quantification in the presence of systemic physiology cross-talk using multi-layer Monte Carlo modeling.

Melissa M Wu, Suk-Tak Chan, Dibbyan Mazumder, Davide Tamborini, Kimberly A Stephens, Bin Deng, Parya Farzam, Joyce Yawei Chu, Maria Angela Franceschini, Jason Zhensheng Qu and 1 more

Erratum issuedAbstract read
In one paragraph

Article in Neurophotonics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Melissa M WuMassachusetts General Hospital, Harvard Medical School, Optics at Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Charlestown, Massachusetts, United States.ORCID https://orcid.org/0000-0001-6083-2464
Suk-Tak ChanMassachusetts General Hospital, Harvard Medical School, Optics at Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Charlestown, Massachusetts, United States.ORCID https://orcid.org/0000-0001-6627-3173
Dibbyan MazumderMassachusetts General Hospital, Harvard Medical School, Optics at Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Charlestown, Massachusetts, United States.
Davide TamboriniMassachusetts General Hospital, Harvard Medical School, Optics at Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Charlestown, Massachusetts, United States.
Kimberly A StephensMassachusetts General Hospital, Harvard Medical School, Optics at Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Charlestown, Massachusetts, United States.
Bin DengMassachusetts General Hospital, Harvard Medical School, Optics at Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Charlestown, Massachusetts, United States.
Parya FarzamMassachusetts General Hospital, Harvard Medical School, Optics at Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Charlestown, Massachusetts, United States.
Joyce Yawei ChuMassachusetts General Hospital, Harvard Medical School, Optics at Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Charlestown, Massachusetts, United States.
Maria Angela FranceschiniMassachusetts General Hospital, Harvard Medical School, Optics at Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Charlestown, Massachusetts, United States.
Jason Zhensheng QuMassachusetts General Hospital, Harvard Medical School, Department of Anesthesia, Critical Care and Pain Medicine, Boston, Massachusetts, United States.
Stefan A CarpMassachusetts General Hospital, Harvard Medical School, Optics at Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Charlestown, Massachusetts, United States.ORCID https://orcid.org/0000-0003-4617-3233

Funding

Project 4P41EB015896 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 2012 to 2018
$9.8M
Time-Gated Diffuse Correlation Spectroscopy for functional imaging of the human brainU01EB028660 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI FRANCESCHINI, MARIA ANGELA · 2019 to 2023
$6.4M
Non-invasive monitoring of brain health during cardio-pulmonary bypassR01NS100750 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI CARP, STEFAN ALEXANDRU · 2018 to 2022
$2.9M
Gated Diffuse Correlation Spectroscopy for Functional Imaging of the Human BrainR01EB025145 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI FRANCESCHINI, MARIA ANGELA · 2017 to 2018
$1.0M
NIBIB NIH HHS P41 EB015896NIBIB NIH HHS R01 EB025145NIBIB NIH HHS U01 EB028660NINDS NIH HHS R01 NS100750
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

cerebral blood flowdiffuse correlation spectroscopyhypercapniaMonte Carlomulti-layer

Identifiers

PMID33437846
PMCPMC7779997

What Socratic 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 Socratic graph.