Evidence map›Paper›PMID 30187865›Full record

ArticleNan fang yi ke da xue xue bao = Journal of Southern Medical University2018

[Risk factors for surgical site infection following posterior lumbar intervertebral fusion].

Chaohui Sang, Hailong Ren, Zhandong Meng, Jianming Jiang

Abstract read
In one paragraph

Article in Nan fang yi ke da xue xue bao = Journal of Southern Medical University, 2018. 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

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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Chaohui SangDepartment of Spinal Surgery, Nangfang Hospital, Southern Medical University, Guangzhou 510515, China.
Hailong RenDepartment of Spinal Surgery, Nangfang Hospital, Southern Medical University, Guangzhou 510515, China.
Zhandong MengDepartment of Spinal Surgery, Nangfang Hospital, Southern Medical University, Guangzhou 510515, China.
Jianming JiangDepartment of Spinal Surgery, Nangfang Hospital, Southern Medical University, Guangzhou 510515, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo analyze the risk factors of surgical site infection (SSI) following posterior lumbar intervertebral fusion.

methodsThis retrospective case-control study was conducted in 2904 patients undergoing posterior lumbar intervertebral fusion from 2011 to 2016. Forty-three patients with SSI within 30 days after the operation served as the case group, and 334 randomly selected patients without infection served as the control group. Age, gender, diabetes, body mass index (BMI), albumin level, multilevel procedures, subcutaneous fat thickness, surgery duration and the percentage of lumbar multifidus muscle fat infiltration were analyzed, and univariate and multivariate logistic regression analyses were performed to identify the risk factors of SSI.

resultsMultivariate logical regression analysis identified a female gender, subcutaneous fat thickness, multilevel surgery, and lumbar multifidus muscle fat infiltration as significant risk factors for SSI (

conclusionsA female gender, multilevel surgery, subcutaneous fat thickness and fat infiltration in the multifidus muscle are related to SSI following posterior lumbar intervertebral fusion. Fat infiltration in the multifidus muscle was a spine-specific risk factor for SSI independent of BMI.

Indexed as

Body Mass IndexCase-Control StudiesFemaleHumansLumbar VertebraeMaleMuscle, SkeletalRegression AnalysisRetrospective StudiesRisk FactorsSex FactorsSpinal FusionSubcutaneous FatSurgical Wound Infectionfat infiltrationinfectionlumbar vertebraemultifidus musclerisk factors

Identifiers

PMID30187865
PMCPMC6744044

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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.