Evidence map›Paper›PMID 33329091›Full record

ArticleFrontiers in psychiatry2020

Modeling Social Sensory Processing During Social Computerized Cognitive Training for Psychosis Spectrum: The Resting-State Approach.

Lana Kambeitz-Ilankovic, Julian Wenzel, Shalaila S Haas, Anne Ruef, Linda A Antonucci, Rachele Sanfelici, Marco Paolini, Nikolaos Koutsouleris, Bruno Biagianti

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 39% of its field
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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

9 authors at 6 institutions in 3 countries.

Lana Kambeitz-IlankovicDepartment of Psychiatry, Faculty of Medicine and University Hospital of Cologne, University of Cologne, Cologne, Germany.
Julian WenzelDepartment of Psychiatry, Faculty of Medicine and University Hospital of Cologne, University of Cologne, Cologne, Germany.
Shalaila S HaasDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Anne RuefDepartment of Psychiatry and Psychotherapy, Ludwig-Maximilian University, Munich, Germany.
Linda A AntonucciDepartment of Psychiatry, Faculty of Medicine and University Hospital of Cologne, University of Cologne, Cologne, Germany.
Rachele SanfeliciDepartment of Psychiatry and Psychotherapy, Ludwig-Maximilian University, Munich, Germany.
Marco PaoliniDepartment of Radiology, University Hospital, Ludwig-Maximilian-University, Munich, Germany.
Nikolaos KoutsoulerisDepartment of Psychiatry and Psychotherapy, Ludwig-Maximilian University, Munich, Germany.
Bruno BiagiantiDepartment of Pathophysiology and Transplantation, University of Milan, Milan, Italy.
Ludwig-Maximilians-Universität München · DEIcahn School of Medicine at Mount Sinai · USMax Planck Institute for Human Cognitive and Brain Sciences · DEPosit Science (United States) · USUniversity Hospital Cologne · DEUniversity of Bari Aldo Moro · IT

Funding

Wiring Adolescents With Social Anxiety via Behavioral Interventions (WASABI): a closed-loop mobile intervention to reduce social anxiety and improve social skillsR43MH121209 · NIMH · POSIT SCIENCE CORPORATION · PI BIAGIANTI, BRUNO · 2019 to 2019
$244k
NIMH NIH HHS R43 MH121209
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

computerized cognitive trainingfunctional connectivityresting statesensory processingsocial cognition

Identifiers

PMID33329091
PMCPMC7716799
OpenAlexW3101905039

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.