Evidence map›Paper›PMID 38999351›Full record

ArticleJournal of clinical medicine2024

Improving Social and Personal Rhythm Dysregulation in Young and Old Adults with Bipolar Disorder: Post-Hoc Analysis of a Feasibility Randomized Controlled Trial Using Virtual Reality-Based Intervention.

Federica Sancassiani, Alessandra Perra, Peter K Kurotschka, Goce Kalcev, Alessia Galetti, Rosanna Zaccheddu, Aurora Locci, Federica Piludu, Lorenzo Di Natale, Valerio De Lorenzo and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

13 authors.

Federica SancassianiDepartment of Medical Sciences and Public Health, University of Cagliari, 09124 Cagliari, Italy.
Alessandra PerraDepartment of Medical Sciences and Public Health, University of Cagliari, 09124 Cagliari, Italy.ORCID 0000-0001-5791-1655
Peter K KurotschkaDepartment of General Practice, University Hospital Würzburg, 12459 Würzburg, Germany.ORCID 0000-0003-3750-6147
Goce KalcevThe National Alliance for Neuromuscular Diseases and Neuroscience GANGLION Skopje, 1000 Skopje, North Macedonia.ORCID 0000-0002-0351-6577
Alessia GalettiDepartment of Medical Sciences and Public Health, University of Cagliari, 09124 Cagliari, Italy.
Rosanna ZacchedduDepartment of Medical Sciences and Public Health, University of Cagliari, 09124 Cagliari, Italy.
Aurora LocciDepartment of Medical Sciences and Public Health, University of Cagliari, 09124 Cagliari, Italy.
Federica PiluduDepartment of Medical Sciences and Public Health, University of Cagliari, 09124 Cagliari, Italy.
Lorenzo Di NataleIDEGO Digital Psychology Society, 00197 Rome, Italy.
Valerio De LorenzoCEREBRUM VR, 00197 Rome, Italy.
Michele FornaroSection of Psychiatry, Department of Neuroscience, Reproductive Science and Odontostomatology, Federico II University of Naples, 80138 Naples, Italy.ORCID 0000-0002-9647-0853
Antonio Egidio NardiInstitute of Psychiatry, Federal University of Rio de Janeiro, Rio de Janeiro 21941-901, Brazil.ORCID 0000-0002-2152-4669
Diego PrimaveraDepartment of Medical Sciences and Public Health, University of Cagliari, 09124 Cagliari, Italy.

Funding

Fondazione di Sardegna U1307.2023/AI.1282.MGB2023.0503
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

advanced technology laboratorybipolar disordercognitive remediationCOVID-19social and personal rhythmvirtual reality

Identifiers

PMID38999351
PMCPMC11242709

What OpenQuestion holds

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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.