Evidence map›Paper›PMID 41736909›Full record

ReviewFrontiers in neurology2025

Neurostimulation device infection control in China and the United States: a comparative analysis using the MCS framework.

Xiaohan Qin, Lanfang Chen

Abstract readReview
In one paragraph

Review in Frontiers in neurology, 2025. 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.

Xiaohan QinCentral Sterile Supply Department, Wuxi Hospital of Traditional Chinese Medicine, Wuxi, China.
Lanfang ChenCentral Sterile Supply Department, Wuxi Hospital of Traditional Chinese Medicine, Wuxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neurostimulation devices, including deep brain stimulation (DBS) and spinal cord stimulation (SCS) systems, have transformed treatment for neurological disorders and chronic pain. However, device-related infections remain a critical challenge with global incidence rates of 3-7%. This narrative review introduces the Mechanism-Clinical-System (MCS) framework to comprehensively evaluate infection control practices in China and the United States, integrating evidence from 2020 to 2025. At the mechanism level, fundamental differences in sterilization technologies-ethylene oxide dominance in the US versus hydrogen peroxide plasma preference in China-create distinct operational profiles, though clinical outcomes appear equivalent. China's 10-fold higher antibiotic consumption drives elevated antimicrobial resistance (MRSA: 60-75% vs. 40-55%). Clinically, DBS infection rates remain comparable between countries (US: 3.5-6.5%; China: 5.7%), while prolonged antibiotic prophylaxis (5-14 days) persists in China despite evidence supporting 24-h protocols. At the system level, divergent regulatory frameworks-FDA mandatory compliance versus NMPA's tiered implementation-create fundamental practice variability. Neither healthcare system demonstrates uniform superiority. The US achieves greater standardization through regulatory stringency, while China demonstrates remarkable adaptability and innovation velocity. Evidence-based harmonization strategies-including international registries, standardized surveillance, and antimicrobial stewardship-offer substantial potential to optimize patient safety globally.

Indexed as

antimicrobial resistanceChinadeep brain stimulationhealthcare policyinfection controlneurostimulationspinal cord stimulationUnited States

Identifiers

PMID41736909
PMCPMC12926097

What OpenQuestion holds

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LicenceCC BY
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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.