Evidence map›Paper›PMID 40904820›Full record

ArticleFrontiers in neurology2025

A randomized controlled study on intermittent theta pulse stimulation for improving cognitive impairment after stroke.

Fei Li, Fengxia Hu, Yi Liang, Fen Liang, Huiqun Tan, Sisi Xing

Abstract read
In one paragraph

Article in Frontiers in neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
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

6 authors.

Fei Li *Department of Neurology, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, Huangshi, Hubei, China.
Fengxia Hu *Department of Neurology, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, Huangshi, Hubei, China.
Yi Liang *Department of Neurology, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, Huangshi, Hubei, China.
Fen LiangDepartment of Gastroenterology, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, Huangshi, Hubei, China.
Huiqun TanDepartment of General Practice, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, Huangshi, Hubei, China.
Sisi XingDepartment of Neurology, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, Huangshi, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study evaluates the efficacy and underlying mechanisms of intermittent theta-burst stimulation (iTBS) in improving cognitive function and quality of life in post-stroke patients. Methods: A total of 80 subacute stroke patients with cognitive deficits were randomly assigned to a control group ( Results: Baseline characteristics were comparable between groups. After 3 months, the experimental group demonstrated significantly greater improvements than the control group in scores for the Mini-Mental State Examination (MMSE; adjusted mean: 25.35 vs. 20.44, Conclusion: iTBS is a safe and effective intervention that enhances cognitive recovery and quality of life in post-stroke patients. These benefits are associated with modulation of neuroplasticity and inflammatory markers, suggesting that iTBS may promote recovery by upregulating BDNF and attenuating neuroinflammation. Further research is needed to confirm these mechanisms.

Indexed as

cognitive dysfunctionintermittent theta-burst stimulation (iTBS)neurorehabilitationquality of lifestroke

Identifiers

PMID40904820
PMCPMC12403035

What OpenQuestion holds

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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.