Evidence map›Paper›PMID 35675821›Full record

ReviewSeminars in neurology2022

Leveraging Social Networks for the Assessment and Management of Neurological Patients.

Amar Dhand, Archana Podury, Niteesh Choudhry, Shrikanth Narayanan, Min Shin, Matthias R Mehl

Abstract readReview
In one paragraph

Review in Seminars in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
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  4. Review
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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

6 authors.

Amar DhandBrigham and Women's Hospital, Harvard Medical School, Network Science Institute, Northeastern University, Boston, Massachusetts.ORCID 0000-0001-6470-7548
Archana PoduryHarvard-MIT Health Sciences and Technology Program, Harvard Medical School, Boston, Massachusetts.
Niteesh ChoudhryHarvard Medical School, Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Shrikanth NarayananDepartment of Electrical and Computer Engineering, University of Southern California, Los Angeles, California.ORCID 0000-0002-1052-6204
Min ShinDepartment of Computer Science, University of North Carolina at Charlotte, Charlotte, North Carolina.
Matthias R MehlDepartment of Psychology, University of Arizona, Tucson, Arizona.ORCID 0000-0003-2698-5007

Funding

The Roybal Center for TherapeuticOptimization using BehavioralScienceP30AG064199 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI Julie Christine Lauffenburger · 2019 to 2026
$8.3M
Social networks and risk of delayed arrival to the hospital during strokeR01MD016178 · NIMHD · BRIGHAM AND WOMEN'S HOSPITAL · PI Amar Dhand, Kevin Navin Sheth · 2022 to 2026
$3.7M
SocialBit: Establishing the accuracy of a wearable sensor to detect social interactions after strokeR01HD099176 · NICHD · BRIGHAM AND WOMEN'S HOSPITAL · PI DHAND, AMAR · 2020 to 2025
$2.8M
NIA NIH HHS P30 AG064199NICHD NIH HHS R01 HD099176NIH HHS National Institutes of HealthNIMHD NIH HHS R01 MD016178
6 · The paper itself

Abstract

Social networks are the persons surrounding a patient who provide support, circulate information, and influence health behaviors. For patients seen by neurologists, social networks are one of the most proximate social determinants of health that are actually accessible to clinicians, compared with wider social forces such as structural inequalities. We can measure social networks and related phenomena of social connection using a growing set of scalable and quantitative tools increasing familiarity with social network effects and mechanisms. This scientific approach is built on decades of neurobiological and psychological research highlighting the impact of the social environment on physical and mental well-being, nervous system structure, and neuro-recovery. Here, we review the biology and psychology of social networks, assessment methods including novel social sensors, and the design of network interventions and social therapeutics.

Indexed as

Health BehaviorSocial NetworkingHumansNeurologists

Identifiers

PMID35675821
PMCPMC9256089

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.