Evidence map›Paper›PMID 39957793›Full record

ArticleIndian journal of psychological medicine2025

Can Non-specific Blood Inflammatory Biomarkers Predict Recovery in Acute Transient Psychotic Disorder? A Prospective Observational Study.

Jaya Prakash, Sujita Kumar Kar, Wahid Ali, Pronob Kumar Dalal

Abstract read
In one paragraph

Article in Indian journal of psychological medicine, 2025. 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
–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

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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.

  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.

Jaya PrakashDept. of Psychiatry, King George's Medical University, Lucknow, Uttar Pradesh, India.
Sujita Kumar KarDept. of Psychiatry, King George's Medical University, Lucknow, Uttar Pradesh, India.ORCID https://orcid.org/0000-0003-1107-3021
Wahid AliDept. of Pathology, King George's Medical University, Lucknow, Uttar Pradesh, India.
Pronob Kumar DalalDept. of Psychiatry, King George's Medical University, Lucknow, Uttar Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Inflammation may play an important role in the pathogenesis of schizophrenia and related psychotic disorders. This study aimed to measure the inflammatory marker (serum prolactin, serum cortisol, C-reactive protein [CRP], erythrocyte sedimentation rate (ESR), total leucocyte count, and differential leucocyte count) in drug naïve patients of the first episode of acute and transient psychotic disorder (ATPD) at baseline and their alterations after three months of antipsychotic treatment. Methods: This prospective study estimated the change of inflammatory biomarkers in patients with ATPD over three months, along with the change in psychopathology and global functioning. Attempts were taken to compare the trend of change in inflammatory biomarkers with clinical improvement. Result: A total of 157 patients with ATPD were screened to recruit 78 patients, of which only 33 patients were followed up till three months from the point of recruitment. More than three-fourths of the patients improved significantly during the brief follow-up period. Patients who improved substantially with antipsychotic drug treatment had a significantly lower age and age at the onset of psychiatric illness. The patients who improved also had a significant reduction in total leucocyte count, absolute neutrophil count, and neutrophil-to-lymphocyte ratio from baseline to three-month follow-up. Duration of untreated illness had a significant positive correlation ( Conclusion: Inflammatory biomarkers are raised in drug naïve patients with ATPD, which improves with antipsychotic drug treatment, indicating a possible role of inflammation in the pathogenesis of ATPD.

Indexed as

Acute transient psychotic disorderbiomarkersinflammationpathogenesispsychosis

Identifiers

PMID39957793
PMCPMC11829276

What Socratic holds

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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 Socratic graph.