Evidence map›Paper›PMID 36884111›Full record

ArticleEuropean spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society2023

Changes in psoas and posterior paraspinal muscle morphology after standalone lateral lumbar interbody fusion: a quantitative MRI-based analysis.

Manuel Moser, Dominik Adl Amini, Cristian Echeverri, Lisa Oezel, Henryk Haffer, Maximilian Muellner, Ek T Tan, Jennifer Shue, Andrew A Sama, Frank P Cammisa and 2 more

Abstract read
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In one paragraph

Article in European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

4 citing papers in PubMed, 8 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

12 authors at 1 institution in 2 countries.

Manuel Moser *Spine Care Institute, Hospital for Special Surgery, Weill Cornell Medicine, 535 East 70th Street, New York, NY, 10021, USA.ORCID https://orcid.org/0000-0003-4517-359X
Dominik Adl Amini *Spine Care Institute, Hospital for Special Surgery, Weill Cornell Medicine, 535 East 70th Street, New York, NY, 10021, USA.ORCID https://orcid.org/0000-0002-8555-7304
Cristian EcheverriSpine Care Institute, Hospital for Special Surgery, Weill Cornell Medicine, 535 East 70th Street, New York, NY, 10021, USA.
Lisa OezelSpine Care Institute, Hospital for Special Surgery, Weill Cornell Medicine, 535 East 70th Street, New York, NY, 10021, USA.
Henryk HafferSpine Care Institute, Hospital for Special Surgery, Weill Cornell Medicine, 535 East 70th Street, New York, NY, 10021, USA.
Maximilian MuellnerSpine Care Institute, Hospital for Special Surgery, Weill Cornell Medicine, 535 East 70th Street, New York, NY, 10021, USA.
Ek T TanDepartment of Radiology and Imaging, Hospital for Special Surgery, Weill Cornell Medicine, 535 East 70th Street, New York, NY, 10021, USA.
Jennifer ShueSpine Care Institute, Hospital for Special Surgery, Weill Cornell Medicine, 535 East 70th Street, New York, NY, 10021, USA.
Andrew A SamaSpine Care Institute, Hospital for Special Surgery, Weill Cornell Medicine, 535 East 70th Street, New York, NY, 10021, USA.
Frank P CammisaSpine Care Institute, Hospital for Special Surgery, Weill Cornell Medicine, 535 East 70th Street, New York, NY, 10021, USA.
Federico P GirardiSpine Care Institute, Hospital for Special Surgery, Weill Cornell Medicine, 535 East 70th Street, New York, NY, 10021, USA.
Alexander P Hughes *Spine Care Institute, Hospital for Special Surgery, Weill Cornell Medicine, 535 East 70th Street, New York, NY, 10021, USA. hughesa@hss.edu.ORCID http://orcid.org/0000-0001-7293-9672
Hospital for Special Surgery · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeStandalone lateral lumbar interbody fusion (SA-LLIF) without posterior instrumentation can be an alternative to 360° fusion in selected cases. This study aimed to investigate quantitative changes in psoas and paraspinal muscle morphology that occur on index levels after SA-LLIF.

methodsPatients undergoing single- or multi-level SA-LLIF at L2/3 to L4/5 who had preoperative and postoperative lumbar MRI scans, the latter performed between 3 and 18 months after surgery for any reason, were retrospectively included. Muscle measurements were performed of the psoas and posterior paraspinal muscles (PPM; erector spinae and multifidus) on index levels using manual segmentation and an automated pixel intensity threshold method to differentiate muscle from fat signal. Changes in the total cross-sectional area (TCSA), the functional cross-sectional area (FCSA), and the percentage of fat infiltration (FI) of these muscles were assessed.

resultsA total of 67 patients (55.2% female, age 64.3 ± 10.6 years, BMI 26.9 ± 5.0 kg/m

conclusionOur study demonstrated that SA-LLIF did not alter psoas muscle morphology, underlining its minimally invasive nature. However, FI of PPM significantly increased over time despite the lack of direct tissue damage to posterior structures, suggesting a pain-mediated response and/or the result of segmental immobilization.

Indexed as

Paraspinal MusclesSpinal FusionAgedFemaleHumansLumbar VertebraeMagnetic Resonance ImagingMaleMiddle AgedRetrospective StudiesSalicylanilides3,3',4',5-tetrachlorosalicylanilideSalicylanilidesFat infiltrationLateral lumbar interbody fusionLLIFLumbar fusionStandalone

Identifiers

PMID36884111
OpenAlexW4323531434

What OpenQuestion holds

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Read underepoch 390

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.