Evidence map›Paper›PMID 41522932›Full record

ArticleJournal of pharmacy & bioallied sciences2025

Cognitive Impairment in Post-COVID-19 Patients: A Prospective Neuropsychological Evaluation Study.

Charan Sankar Sankaranarayanan, Koduvayur Roopa Lakshmi, Mannan Senthilnathan, A G Poorvika, Sasna S Kumar

Abstract read
In one paragraph

Article in Journal of pharmacy & bioallied sciences, 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

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.

  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

5 authors.

Charan Sankar SankaranarayananDepartment of Neurology and Stroke Medicine, PSG Institute of Medical Sciences and Research, Coimbatore, Tamil Nadu, India.
Koduvayur Roopa LakshmiDepartment of Neurosurgery, Care Hospital, Hitech city, Hyderabad, Telangana, India.
Mannan SenthilnathanDepartment of Paediatrics, P.E.S. Institute of Medical Sciences and Research, Kuppam, Andhra Pradesh, India.
A G PoorvikaDepartment of General Medicine, Siva Clinic and Nature Cure Hospital, Bhavanisagar, Tamil Nadu, India.
Sasna S KumarDepartment of Cardiology, Pondicherry Institute of Medical Science, Ganapathichettikulam, Kalapet, Pondicherry, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cognitive impairments, often termed "brain fog," have emerged as prevalent sequelae among individuals recovering from COVID-19. Despite increasing recognition, systematic neuropsychological evaluation data remain limited. Methods: A prospective observational study was conducted between February 2023 and December 2024 in a tertiary care neurorehabilitation center. One hundred twenty post-COVID-19 patients (mean age 44.6 ± 11.3 years; 58.3% male) presenting with cognitive complaints at least 3 months after recovery were recruited. Patients underwent evaluation using the Montreal Cognitive Assessment (MoCA), Trail Making Test A and B (TMT-A, TMT-B), and Digit Span Test. A control group of 60 age- and education-matched individuals without prior COVID-19 served as comparison. Statistical analysis included independent t-tests, chi-square tests, and multivariate logistic regression ( Results: Cognitive impairment (MoCA score <26) was observed in 66.7% of post-COVID-19 participants compared to 15.0% of controls ( Conclusion: Cognitive deficits are common in post-COVID-19 patients, particularly affecting attention, processing speed, and working memory. Structured cognitive screening and rehabilitation may be essential components of long-term COVID-19 care.

Indexed as

Cognitive impairmentsdigit span testmontreal cognitive assessmenttrail making test

Identifiers

PMID41522932
PMCPMC12788536

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.