Evidence map›Paper›PMID 35343910›Full record

ArticleJMIR formative research2022

A Smartphone-Based Intervention as an Adjunct to Standard-of-Care Treatment for Schizophrenia: Randomized Controlled Trial.

S Nassir Ghaemi, Oleksandr Sverdlov, Joris van Dam, Timothy Campellone, Robert Gerwien

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03751280 (A Randomized, Sham-Controlled Study of PEAR-004 as an Adjunct to Standard-of-care Treatment for Schizophrenia), which is not on this map. Cited by 19 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 4 pooled it
3.4field-weighted citation impact, top 7% 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.

NCT03751280 phase2completednot on this map

A Randomized, Sham-Controlled Study of PEAR-004 as an Adjunct to Standard-of-care Treatment for Schizophrenia

TypeinterventionalSponsorNovartis PharmaceuticalsRan2018 to 2019Enrolled112ConditionsSchizophreniaArmsPEAR-004, Sham
3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 4 syntheses or guidelines pooled it, 35 citations in OpenAlex.

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  17. A path towards progress: lessons from the hard things about digital mental health.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2022
    Article
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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 at 3 institutions in 2 countries.

S Nassir GhaemiNovaris Institutes for Biomedical Research, Cambridge, MA, United States.ORCID https://orcid.org/0000-0001-9259-0885
Oleksandr SverdlovNovartis Pharmaceuticals Corporation, East Hanover, NJ, United States.ORCID https://orcid.org/0000-0002-1626-2588
Joris van DamNovaris Institutes for Biomedical Research, Cambridge, MA, United States.ORCID https://orcid.org/0000-0002-5208-1055
Timothy CampellonePear Therapeutics, Boston, MA, United States.ORCID https://orcid.org/0000-0002-8793-9576
Robert GerwienPear Therapeutics, Boston, MA, United States.ORCID https://orcid.org/0000-0001-8368-5188
Novartis (Switzerland) · CHPear Therapeutics (United States) · USNovartis (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAntipsychotic medications have limited benefits in schizophrenia, and cognitive behavioral therapy may be beneficial as an adjunct. There may be potential for implementing mobile cognitive behavioral therapy-based treatment for schizophrenia in addition to standard antipsychotic medications.

objectiveThis study aims to determine whether PEAR-004, a smartphone-based investigational digital therapeutic, improves the symptoms of an acute psychotic exacerbation of schizophrenia when it is added to standard treatments.

methodsThis was a 12-week, multicenter, randomized, sham-controlled, rater-blinded, parallel group proof‑of‑concept study of 112 participants with moderate acute psychotic exacerbation in schizophrenia. This study was conducted in 6 clinical trial research sites in the United States from December 2018 to September 2019. The primary outcome, change in Positive and Negative Syndrome Scale (PANSS) from baseline to week 12 or the last available visit, was analyzed using the mixed-effects regression model for repeated measures, applied to an intent-to-treat sample.

resultsThe total PANSS scores slightly decreased from baseline over the study period in both groups; the treatment difference at day 85 between PEAR-004 and sham was 2.7 points, in favor of the sham (2-sided P=.09). The secondary scales found no benefit, except for transient improvement in depressive symptoms with PEAR-004. Application engagement was good, and patient and clinical investigator satisfaction was high. No safety concerns were observed. There was some evidence of study site heterogeneity for the onboarding processes and directions on PEAR-004 product use at baseline and throughout the study. However, these differences did not affect the efficacy results.

conclusionsIn the largest-to-date randomized, sham-controlled study of a digital therapeutic in schizophrenia, PEAR-004 did not demonstrate an effect on the primary outcome-total PANSS scores-when compared with a nonspecific digital sham control. The secondary and exploratory results also did not demonstrate any notable benefits, except for possible temporary improvement in depressive symptoms. This study provided many useful scientific and operational insights that can be used in the further clinical development of PEAR-004 and other investigational digital therapeutics.

trial registrationClinicalTrials.gov NCT03751280; https://clinicaltrials.gov/ct2/show/NCT03751280.

Indexed as

digital therapeuticsmobile phonerandomized controlled trialschizophreniasmartphones

Identifiers

PMID35343910
PMCPMC9002609
OpenAlexW4205446748

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.