Evidence map›Paper›PMID 41685269›Full record

ArticleAnnals of neurosciences2026

Validation of a Traumatic Brain Injury Remediation Programme for Chronic Schizophrenia.

Sarika Alreja Mishra, Deepak Kumar Mishra

Abstract read
In one paragraph

Article in Annals of neurosciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Sarika Alreja MishraThapar School of Liberal Arts and Sciences, Thapar Institute of Engineering and Technology, Patiala, Punjab, India.ORCID https://orcid.org/0009-0001-9792-9734
Deepak Kumar MishraSports Authority of India, Netaji Subhas National Institute of Sports, Patiala, Punjab, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cognitive impairments in schizophrenia share considerable overlap with those seen in traumatic brain injury (TBI). This overlap offers a rationale for investigating whether cognitive remediation strategies developed for TBI can be tailored to benefit schizophrenia. Purpose: This exploratory study assessed the efficacy and generalisability of the Brainwave-R cognitive remediation programme, designed initially for TBI, in improving neuropsychological functioning and symptom dimensions in individuals with schizophrenia. Methods: This was a tertiary Psychiatric Care Facility-based exploratory study following the pre-and-post intervention with a control group (CG) design. Twenty hospitalised male patients diagnosed with schizophrenia were purposively sampled and divided into intervention and CGs ( Results: The intervention group exhibited statistically significant improvements across a broad range of neuropsychological domains. Additionally, significant reductions were observed in negative and select positive symptom scores, highlighting the programme's multidimensional clinical impact. Conclusion: This study provides promising preliminary evidence for the cross-diagnostic applicability of TBI-based cognitive remediation in schizophrenia. However, the findings must be interpreted cautiously due to key limitations: small, all-male sample size; short intervention duration; and absence of long-term or functional outcome assessments. Future research should prioritise larger, gender-diverse, and longitudinal designs to establish the broader utility and personalisation of cognitive interventions in schizophrenia.

Indexed as

Clinical neuropsychologyclinical psychologycognitive neurosciencerehabilitation

Identifiers

PMID41685269
PMCPMC12890598

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.