Evidence map›Paper›PMID 30258103›Full record

Trial reportNature communications2018

A scalable online tool for quantitative social network assessment reveals potentially modifiable social environmental risks.

Amar Dhand, Charles C White, Catherine Johnson, Zongqi Xia, Philip L De Jager

Abstract readClinical Trial
In one paragraph

Trial report in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

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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

5 authors.

Amar DhandDepartment of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, 02115, MA, USA. adhand@bwh.harvard.edu.ORCID http://orcid.org/0000-0001-6470-7548
Charles C WhiteBroad Institute, Program in Medical and Population Genetics, Cambridge, 02142, MA, USA.
Catherine JohnsonMultiple Sclerosis Center and the Center for Translational & Computational Neuroimmunology, Department of Neurology, Columbia University Medical Center, New York, 10032, NY, USA.
Zongqi XiaDepartment of Neurology, University of Pittsburgh, Pittsburgh, 15260, PA, USA.
Philip L De JagerBroad Institute, Program in Medical and Population Genetics, Cambridge, 02142, MA, USA.ORCID http://orcid.org/0000-0002-8057-2505

Funding

Transgenic CoreP30DK046200 · NIDDK · TUFTS MEDICAL CENTER · PI LOWELL, BRADFORD B · 1992 to 2021
$25.0M
Leveraging electronic health records to optimize treatment selection and response in multiple sclerosisR01NS098023 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Zongqi Xia · 2016 to 2026
$4.6M
Leveraging genetics and environment to predict presymptomatic multiple sclerosisK08NS079493 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI XIA, ZONGQI · 2012 to 2016
$957k
Impact of Social Network Structure on Stroke RecoveryK23HD083489 · NICHD · WASHINGTON UNIVERSITY · PI DHAND, AMAR · 2015 to 2020
$750k
National Multiple Sclerosis Society (National MS Society) RG-5003-A-2NICHD NIH HHS K23 HD083489NIDDK NIH HHS P30 DK046200NINDS NIH HHS K08 NS079493NINDS NIH HHS R01 NS098023U.S. Department of Health & Human Services | NIH | National Institute of Diabetes and Digestive and Kidney Diseases (National Institute of Diabetes & Digestive & Kidney Diseases) P30DK046200U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke (NINDS) K08NS079493U.S. Department of Health & Human Services | NIH | NICHD | National Center for Medical Rehabilitation Research (NCMRR) K23HD083489
6 · The paper itself

Abstract

Social networks are conduits of support, information, and health behavior flows. Existing measures of social networks used in clinical research are typically summative scales of social support or artificially truncated networks of ≤ 5 people. Here, we introduce a quantitative social network assessment tool on a secure open-source web platform, readily deployable in large-scale clinical studies. The tool maps an individual's personal network, including specific persons, their relationships to each other, and their health habits. To demonstrate utility, we used the tool to measure the social networks of 1493 persons at risk of multiple sclerosis. We examined each person's social network in relation to self-reported neurological disability. We found that the characteristics of persons surrounding the participant, such as negative health behaviors, were strongly associated with the individual's functional disability. This quantitative assessment reveals the key elements of individuals' social environments that could be targeted in clinical trials.

Indexed as

Social EnvironmentSocial NetworkingAdultFemaleHumansInternetMaleMiddle AgedMultiple SclerosisRisk AssessmentSurveys and Questionnaires

Identifiers

PMID30258103
PMCPMC6158181

What OpenQuestion 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 OpenQuestion graph.