Evidence map›Paper›PMID 40797264›Full record

ArticleEuropean journal of medical research2025

Predictive model for meningitis after pituitary tumor resection by endoscopic nasal trans-sphenoidal sinus approach.

Peiyun Zhou, Jianan Shi, Zongke Long, Bingyan Zhang, Wenran Qu, Huimin Wei, Simeng Zhang, Xiaorong Luan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in European journal of medical research, 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

8 authors.

Peiyun ZhouSchool of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Jianan ShiSchool of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Zongke LongSchool of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Bingyan ZhangSchool of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Wenran QuSchool of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Huimin WeiSchool of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Simeng ZhangSchool of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Xiaorong LuanSchool of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China. 199162000814@sdu.edu.cn.

Funding

Key R&D Program of Shandong Province, China 2021CXGC011301
6 · The paper itself

Abstract

backgroundMeningitis is a significant complication following nasal trans-sphenoidal surgery for pituitary tumor resection. Meningitis increases hospital stays and costs, posing a burden to both patients and healthcare systems. This study aimed to develop a perioperative predictive model for meningitis based on key factors, such as the operation duration, tumor diameter, and intraoperative cerebrospinal fluid (CSF) leakage.

methodsA retrospective analysis was conducted on patients undergoing pituitary tumor resection via the nasal trans-sphenoidal approach. Predictive factors for meningitis, including operation duration, tumor diameter, and intraoperative CSF leakage, were analyzed. The model's predictive efficacy was evaluated using the collected data.

resultsMeningitis occurred in 8.7% of cases (35/401). Intraoperative CSF leakage, observed in 24.2% of cases, significantly increased the risk of infection. The tumor diameter was also linked to higher infection rates. The constructed model demonstrated good predictive performance, allowing for early risk identification.

conclusionsThis study developed a predictive model for Meningitis after pituitary tumor resection using the operation duration, tumor diameter, and CSF leakage. The model provides healthcare professionals with an effective tool to assess infection risk and implement timely intervention strategies to improve patient outcomes.

Indexed as

EndoscopyMeningitisPituitary NeoplasmsPostoperative ComplicationsAdultAgedCerebrospinal Fluid LeakFemaleHumansMaleMiddle AgedRetrospective StudiesSphenoid SinusAntimicrobial drugIntracranial tumorMeningitisNasal trans-sphenoidal surgeryPituitary adenomasPituitary tumor

Identifiers

PMID40797264
PMCPMC12341248

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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.