Evidence map›Paper›PMID 41272353›Full record

ArticleNeurosurgical review2025

Research trends and clustering analysis of postoperative infections following lumbar interbody fusion: a bibliometric study.

Yanxiao Liu, Hua Wang, Lei Li

Abstract read
In one paragraph

Article in Neurosurgical review, 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

3 authors.

Yanxiao LiuDepartment of Orthopedics, Quzhou People's Hospital, Quzhou, Zhejiang, 324000, China.
Hua WangDepartment of Orthopedics, Quzhou People's Hospital, Quzhou, Zhejiang, 324000, China. wh421081@163.com.
Lei LiDepartment of Orthopedics, Quzhou People's Hospital, Quzhou, Zhejiang, 324000, China.

Funding

Qushi Kefa Chuang (2023) No. 26-2023K143
6 · The paper itself

Abstract

This study presents a cluster analysis of research on postoperative infection following lumbar interbody fusion. It aims to identify major research themes, reveal development trends, and explore collaborative patterns in this field. Publications on postoperative infection and lumbar interbody fusion from 1998 to2024 were analyzed using VOSviewer, CiteSpace, and R-bibliometrix to visualize collaboration, keyword co-occurrences, and research trends. We analyzed a total of 349 publications, observing a general upward trend in research output. The USA emerged as a leader in both the number of publications and citations, with significant contributions from the University of California System and the Mayo Clinic. Zhou Yue was noted for his considerable scholarly influence. Among high-impact journals, Spine was identified as a prominent publication outlet. The keyword co-occurrence analysis highlighted the hotspots, such as types of postoperative infections, risk factors of postoperative infections, clinical outcomes and drainage treatment, and minimally invasive spinal surgery. Additionally, keyword burst analysis indicated a growing research interest in areas such as "risk factors", "indirect decompression" and "follow up." This bibliometric analysis provides a comprehensive overview of the research landscape concerning postoperative infection in lumbar interbody fusion. Current studies focused on research hotspots included types of postoperative infections, risk factors of postoperative infections, clinical outcomes and drainage treatment, and minimally invasive spinal surgery. The frontiers included identification of risk factors and the adoption of indirect decompression strategies for improved postoperative infections.

Indexed as

BibliometricsLumbar VertebraePostoperative ComplicationsSpinal FusionSurgical Wound InfectionCluster AnalysisHumansRisk FactorsBibliometric analysisCiteSpaceLumbar interbody fusionPostoperative infectionSpinal surgeryVOSviewer

Identifiers

PMID41272353
PMCPMC12638420

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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.