Evidence map›Paper›PMID 41602933›Full record

ArticleFrontiers in surgery2025

Comparative evaluation of two dural closure techniques for U-shaped incisions: sealing efficacy vs. site-specific infection risk.

Yu Wang, Chang-Zhi Zhao, Kai-Long Zhang, Yi-Xiao Chen, Ao Li, Jie Yin, Fei Long, Qi-Hong Wang

Abstract read
In one paragraph

Article in Frontiers in surgery, 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

8 authors.

Yu Wang *Xuzhou Clinical School of Xuzhou Medical University, Xuzhou, China.
Chang-Zhi Zhao *School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China.
Kai-Long ZhangXuzhou Clinical School of Xuzhou Medical University, Xuzhou, China.
Yi-Xiao ChenDepartment of Neurosurgery, Xuzhou Central Hospital, Southeast University, Xuzhou, Jiangsu, China.
Ao LiThe 904th Hospital of PLA, Medical School of Anhui Medical University, Wuxi, China.
Jie YinDepartment of Neurosurgery, Xuzhou Central Hospital, Southeast University, Xuzhou, Jiangsu, China.
Fei LongDepartment of Neurosurgery, Xuzhou Central Hospital, Southeast University, Xuzhou, Jiangsu, China.
Qi-Hong WangXuzhou Clinical School of Xuzhou Medical University, Xuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to compare the outcomes of direct suturing (Method 1) and pericranium-assisted suturing (Method 2) for U-shaped dural incisions, with a specific focus on site-specific differences in cerebrospinal fluid (CSF) leak and postoperative infection. Methods: In this retrospective cohort, 172 patients undergoing repair of U-shaped dural incisions were analyzed. Based on intraoperative feasibility, patients underwent either Method 1 ( Results: The incidence of CSF leak was low and comparable between the two methods, regardless of surgical site (Method 1: 7.14% supratentorial vs. 7.69% infratentorial, Conclusion: Both direct and pericranium-assisted suturing are effective in preventing CSF leak for U-shaped dural incisions. However, the pericranium-assisted technique carries a significantly increased risk of incision-related infections in the infratentorial region. Clinical decision-making must therefore balance the reliable sealing capability of pericranium-assisted repair against its site-specific infection profile, particularly in complex posterior fossa surgeries.

Indexed as

autologous fasciacerebrospinal fluid leakdural repairneurosurgical proceduressurgical site infection

Identifiers

PMID41602933
PMCPMC12832958

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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.