Evidence map›Paper›PMID 39524980›Full record

ArticleInfection and drug resistance2024

Clinical Characteristics and Predictors of Mortality of Patients with Post-Neurosurgical Meningitis-A 900-Cases Cohort Study.

Guanghui Zheng, Yijun Shi, Jialu Sun, Siqi Wang, Lingye Qian, Hong Lv, Guojun Zhang, Kelin Chen

Abstract read
In one paragraph

Article in Infection and drug resistance, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
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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.

Guanghui ZhengClinical Laboratory of Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China.
Yijun ShiClinical Laboratory of Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China.
Jialu SunClinical Laboratory of Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China.
Siqi WangClinical Laboratory of Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China.
Lingye QianClinical Laboratory of Beijing Anzhen Hospital, Capital Medical University, Beijing, People's Republic of China.
Hong LvClinical Laboratory of Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China.
Guojun ZhangClinical Laboratory of Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China.
Kelin ChenClinical Laboratory of Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: To express the clinical characteristics of patients with post-neurosurgical meningitis (PNM) and launch a survival analysis to screen mortality predictors. Methods: A cohort analysis containing more than 70000 patients was evaluated, and all of them received neurosurgical procedure. Clinical and microbial epidemiology, therapy and mortality of PNM patients were reviewed. Multi-variable Cox proportional hazard models were applied to achieve survival analysis. Results: About 900 PNM patients from 3244 cases were selected for characteristics and survival analysis, the mean age of them was 41 (27-54) years, 516 (57.3%) were men and 384 (42.7%) were women. The 28-day mortality was 12.4% (112 of 900) in patients with PNM. Hypertension, external ventricular drainage (EVD), and lumbar drainage (LD) are mortality predictors for PNM, with a hazard ratio (HR) of 2.641 (95% C.I. 1.563-4.464, P<0.001), 2.196 (95% C.I. 1.317-3.662, P=0.003), and 1.818 (95% C.I. 1.126-2.936, P=0.014). In treatment, the outcome of patients receiving three or more antibiotic combinations is better than that of patients receiving dual-drug combinations. Conclusion: The mortality of patients with PNM was relatively high, and the risk factors related to 28-days mortality were hypertension, EVD and LD and treatment with three or more antibiotics are much better.

Indexed as

characteristicsmortalityPost-neurosurgical meningitissurvival analysistreatment

Identifiers

PMID39524980
PMCPMC11549914

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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.