Evidence map›Paper›PMID 39851450›Full record

ReviewBrain sciences2025

Assessment of Negative Symptoms in Schizophrenia: From the Consensus Conference-Derived Scales to Remote Digital Phenotyping.

Armida Mucci, Stefan Leucht, Giulia M Giordano, Luigi Giuliani, Sophia Wehr, Lucia Weigel, Silvana Galderisi

Abstract readReview
In one paragraph

Review in Brain sciences, 2025. 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. Review
  4. Review
  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

7 authors.

Armida MucciDepartment of Mental and Physical Health and Preventive Medicine, School of Medicine, University of Campania Luigi Vanvitelli, Largo Madonna delle Grazie 1, 80135 Naples, Italy.ORCID 0000-0002-6195-9456
Stefan LeuchtDepartment of Psychiatry and Psychotherapy, School of Medicine, Technical University of Munich, Klinikum Rechts der Isar, Ismaningerstrasse 22, 81675 Munich, Germany.ORCID 0000-0002-4934-4352
Giulia M GiordanoDepartment of Mental and Physical Health and Preventive Medicine, School of Medicine, University of Campania Luigi Vanvitelli, Largo Madonna delle Grazie 1, 80135 Naples, Italy.ORCID 0000-0002-5247-1117
Luigi GiulianiDepartment of Mental and Physical Health and Preventive Medicine, School of Medicine, University of Campania Luigi Vanvitelli, Largo Madonna delle Grazie 1, 80135 Naples, Italy.
Sophia WehrDepartment of Psychiatry and Psychotherapy, School of Medicine, Technical University of Munich, Klinikum Rechts der Isar, Ismaningerstrasse 22, 81675 Munich, Germany.
Lucia WeigelDepartment of Psychiatry and Psychotherapy, School of Medicine, Technical University of Munich, Klinikum Rechts der Isar, Ismaningerstrasse 22, 81675 Munich, Germany.
Silvana GalderisiDepartment of Mental and Physical Health and Preventive Medicine, School of Medicine, University of Campania Luigi Vanvitelli, Largo Madonna delle Grazie 1, 80135 Naples, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The assessment of negative symptoms in schizophrenia has advanced since the 2006 NIMH-MATRICS Consensus Statement, leading to the development of second-generation rating scales like the Brief Negative Symptom Scale and the Clinical Assessment Interview for Negative Symptoms. These scales address the limitations of first-generation tools, such as the inclusion of aspects that are not negative symptoms and the lack of assessment of the subject's internal experience. However, psychometric validation of these scales is still in progress, and they are not yet recommended by regulatory agencies, thus limiting their use in clinical trials and settings. Complementing these traditional methods, remote digital phenotyping offers a novel approach by leveraging smartphones and wearable technology to capture real-time, high-resolution clinical data. Despite the potential to overcome traditional assessment barriers, challenges remain in aligning these digital measures with clinical ratings and ensuring data security. Equally important is patient acceptance, as the success of remote digital phenotyping relies on the willingness of patients to use these technologies. This review provides a critical overview of both second-generation scales and remote digital phenotyping for assessing negative symptoms, highlighting future research needs.

Indexed as

BNSSCAINSdigital phenotypingEMAnegative symptoms

Identifiers

PMID39851450
PMCPMC11764445

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.