Evidence map›Paper›PMID 39654908›Full record

ArticleBrain & spine2024

The impact of paraspinal muscle morphology on functional outcome in patients with degenerative lumbar spine disease undergoing surgery - A prospective observational study.

Niraj Ghimire, Prashant Lakhe, Anil Kumar, Nisha Ghimire, Chayanika Kutum, Deepak Choudhary, Bhanu Pratap Singh Chauhan, Poonam Narang, Hukum Singh, Daljit Singh

Abstract read
In one paragraph

Article in Brain & spine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
  2. Paraspinal muscle MRI radiomics outperform disc radiomics for predicting poor disability improvement after L4/5 single-level lumbar surgery.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 · 2026
    Article
  3. 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

10 authors.

Niraj GhimireDepartment of Neurosurgery, Nepalgunj Medical College, Nepal.
Prashant LakheDepartment of Neurosurgery, All India Institute of Medical Sciences, Nagpur, India.
Anil KumarDepartment of Neurosurgery, All India Institute of Medical Sciences, Nagpur, India.
Nisha GhimireNepalgunj Medical College, Nepal.
Chayanika KutumDepartment of Anesthesiology and Critical Care, All India Institue of Medical Sciences, Nagpur, India.
Deepak ChoudharyDepartment of Neurosurgery, Metro Heart Institute, Faridabad, Haryana, India.
Bhanu Pratap Singh ChauhanDepartment of Neurosurgery, All India Institute of Medical Sciences, Bilaspur, HP, India.
Poonam NarangDepartment of Radiology, GIPMER, New Delhi, India.
Hukum SinghDepartment of Neurosurgery, GIPMER, New Delhi, India.
Daljit SinghDepartment of Neurosurgery, GIPMER, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Paraspinal muscle atrophy has been implicated in low back pain (LBP) as well as degenerative disc disease, lumbar spinal stenosis, and disc herniation. The objective of the study was to determine the association of paraspinal muscle morphology with functional outcomes in patients undergoing spine surgery in degenerative spine diseases. Research question: Can the degree of paraspinal muscle atrophy be a reliable prognostic indicator of post-operative functional outcome in patients undergoing surgery for degenerative lumbar spine disease? Materials and methods: Forty-one patients with degenerative lumbar spine disease planned for surgery were included. Pre-operative and postoperative MRI-based muscle morphology including total cross-sectional area (TCSA) and muscle atrophy were recorded. Association between muscle parameters and functional status as indicated from the visual analogue scale (VAS), and Oswestry Disability Index (ODI) were assessed, and compared between prior and after surgery. Results: The MF and ES cross-sectional area on MRI was in proportion to the functional status. (higher ODI and VAS). Preoperative MF TCSA was positively correlated with preoperative ODI ((r = -0.441, p = = 0.032), preoperative VAS (r = -0.338, p = 0.048) and was negatively correlated with change in ODI (r = -0.268, p = 0.016) while preoperative ES TCSA was negatively correlated with preoperative ODI (r = -0.420, p = 0.003). Preoperative ODI, change in ODI and preoperative VAS had significant correlation with muscle atrophy ( Discussion and conclusion: Preoperative paraspinal muscle area is an independent variable that affects preoperative functional status. The grade of paraspinal muscle atrophy is a good predictor of preoperative, postoperative and improvement in functional status.

Indexed as

Oswestry disability indexParaspinal muscle morphologyVisual analogue scale

Identifiers

PMID39654908
PMCPMC11626469

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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.