Evidence map›Paper›PMID 32243393›Full record

ArticleMedicine2020

A Bayesian network meta-analysis of 5 different fusion surgical procedures for the treatment of lumbar spondylolisthesis.

Linjun Tang, Yong Wu, Daping Jing, Yong Xu, Cheng Wang, Jingjing Pan

Open access · goldAbstract readNetwork Meta-Analysis
In one paragraph

Article in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 23% of its field
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

5 citing papers in PubMed, 10 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Linjun TangDepartment of Neurosurgery, The Second People's Hospital of Wuhu, Wuhu, Anhui, China.
Yong Wu
Daping Jing
Yong Xu
Cheng Wang
Jingjing Pan
Wuhu Fourth People Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lumbar fusion has been widely used to treat lumbar spondylolisthesis, which can be classified into 5 types according to its approach, including posterolateral fusion (PLF), posterior lumbar interbody fusion (PLIF), transforaminal lumbar interbody fusion (TLIF), posterolateral fusion plus anterior lumbar interbody fusion (PLFplusALIF), and posterolateral fusion plus posterior lumbar interbody fusion (PLFplusPLIF). Theoretically, each approach has its own advantages and disadvantages, however, no studies are available to compare them.A network meta-analysis (NMA) was performed in this study and the results were illustrated by the mean difference (MD) or odds ratio (OR). Meanwhile, the preferable treatments were indicated using the surface under the cumulative ranking curve (SUCRA). All data were analyzed and graphs were plotted using R 3.4.1.A total of 28 literatures were included in this meta-analysis. PLIF was the most effective treatment for pain relief. Conversely, TLIF was the most effective method for reducing vertebral slippage. For patients with isthmic spondylolisthesis (IS), PLIF performed the best in terms of Visual Analogue Scale (VAS) score, Oswestry Disability Index (ODI) score, fusion rate, blood loss, and complication rate. For patients with degenerative spondylolisthesis (DS), TLIF was the best from the points of view of VAS, complication rate, and vertebral slippage reduction.PLIF and TLIF are identified as the optimal treatments for all lumbar spondylolisthesis cases, among which, PLIF may be the preferred choice for pain relief, while TLIF can offer the best outcomes in terms of vertebral slippage reduction. Furthermore, TLIF has displayed the best clinical outcomes and tolerability for DS patients.

Indexed as

AdultAgedBayes TheoremFemaleHumansLumbar VertebraeMaleMiddle AgedSpinal FusionSpondylolisthesisTreatment Outcome

Identifiers

PMID32243393
PMCPMC7440103
OpenAlexW3014620003

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.