Evidence map›Paper›PMID 37216196›Full record

ArticleProceedings of the ... IEEE/ACM International Conference on Advances in Social Network Analysis and Mining. International Conference on Advances in Social Network Analysis and Mining2021

Mapping the Complexity of Suicide by Combining Participatory Modeling and Network Science.

Philippe J Giabbanelli, Michael C Galgoczy, Duc M Nguyen, Romain Foy, Ketra L Rice, Nisha Nataraj, Margaret M Brown, Christopher R Harper

Abstract read
In one paragraph

Article in Proceedings of the ... IEEE/ACM International Conference on Advances in Social Network Analysis and Mining. International Conference on Advances in Social Network Analysis and Mining, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. DESIGN AND DEPLOYMENT OF A SIMULATION PLATFORM: CASE STUDY OF AN AGENT-BASED MODEL FOR YOUTH SUICIDE PREVENTION.Proceedings of the ... Winter Simulation Conference. Winter Simulation Conference · 2022
    Article
  5. 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

8 authors.

Philippe J GiabbanelliDepartment of Computer Science & Software Engineering, Miami University, Oxford, OH, United States.
Michael C GalgoczyDepartment of Computer Science & Software Engineering, Miami University, Oxford, OH, United States.
Duc M NguyenDepartment of Computer Science & Software Engineering, Miami University, Oxford, OH, United States.
Romain FoyIMT Mines Alés, Institut Mines-Telecom, Alés, France.
Ketra L RiceNational Center for Injury Prevention and Control, Centers for Disease Control and Prevention (CDC), Atlanta, GA, United States.
Nisha NatarajNational Center for Injury Prevention and Control, Centers for Disease Control and Prevention (CDC), Atlanta, GA, United States.
Margaret M BrownNational Center for Injury Prevention and Control, Centers for Disease Control and Prevention (CDC), Atlanta, GA, United States.
Christopher R HarperNational Center for Injury Prevention and Control, Centers for Disease Control and Prevention (CDC), Atlanta, GA, United States.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

Suicide rates are steadily increasing among youth in the USA. Although several theories and frameworks of suicide have been developed, they do not account for some of the features that define suicide as a complex problem, such as a large number of interrelationships and cycles. In this paper, we create the first c omprehensive m ap o f a dverse c hildhood experiences (ACEs) and suicide for youth, by combining a participatory approach (involving 15 subject-matter experts) and network science. This results in a map of 946 edges and 361 concepts, in which we identify ACEs to be the most important factor (per degree centrality). The map is openly shared with the community to support further network analyses (e.g., decomposition into clusters). Similarly to the high-impact Foresight Map developed in the context of obesity, the largest map on suicide and ACEs to date presented in this paper can start a discussion at the crossroad of suicide research and network science, thus bringing new means to address a complex public health challenge.

Indexed as

Knowledge MapParticipatory ModelSuicide

Identifiers

PMID37216196
PMCPMC10194413

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.