Evidence map›Paper›PMID 25568486›Full record

ArticleIndian journal of psychiatry2014

Late-onset schizophrenia with isolated cavum vergae: Case report and literature review.

Rashmin Achalia, K S Bhople, Pankaj Ahire, Chittaranjan Andrade

Open access · diamondAbstract read
In one paragraph

Article in Indian journal of psychiatry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 23% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. 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

4 authors at 3 institutions in 1 country.

Rashmin AchaliaDepartment of Psychiatry, Aurangabad, Maharashtra, India.
K S BhopleDepartment of Psychiatry, Government Medical College, Aurangabad, Maharashtra, India.
Pankaj AhireDepartment of Psychiatry, Paras MRI Centre, Aurangabad, Maharashtra, India.
Chittaranjan AndradeDepartment of Psychopharmacology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.
Government Medical College · INNational Institute of Mental Health and Neurosciences · INWockhardt (India) · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cavum septum pellucidum (CSP) and cavum vergae (CV) have separately and together been associated with an increased risk of neurodevelopmental disorders and psychosis; however, there is little literature on the psychopathological significance of isolated CV, and no previous report of isolated CV in late-onset psychosis. We describe an 80-year-old woman who presented with a 1-month history of psychotic symptoms qualifying for a diagnosis of schizophreniform disorder. Physical (including neurological) examination, bedside cognitive testing, and laboratory investigations were all within normal limits. A magnetic resonance imaging scan of the brain revealed an insignificant CSP with prominent CV. The patient showed almost complete recovery from psychosis after 4-6 weeks of treatment with quetiapine (200 mg/day). She maintained improvement with this medication at an 18-month follow-up; medication taper was associated with re-emergence of hallucinations. We briefly discuss CSP and CV in the context of vulnerability to psychosis. We examine whether isolated CV is a benign and incidental finding versus a biological risk factor for neuropsychiatric illness. We suggest specific studies to resolve the uncertainty.

Indexed as

Cavum septum pellucidumcavum vergaelate-onset psychosismagnetic resonance imaging scanschizophrenia

Identifiers

PMID25568486
PMCPMC4279303
OpenAlexW1487692102

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.