Evidence map›Paper›PMID 27289367›Full record

ArticleNeurosurgical review2017

The 'Lumbar Fusion Outcome Score' (LUFOS): a new practical and surgically oriented grading system for preoperative prediction of surgical outcomes after lumbar spinal fusion in patients with degenerative disc disease and refractory chronic axial low back pain.

Tobias A Mattei, Azeem A Rehman, Alisson R Teles, Jean C Aldag, Dzung H Dinh, Todd D McCall

Abstract read
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Article in Neurosurgical review, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Multicenter external validation of prediction models for clinical outcomes after spinal fusion for lumbar degenerative disease.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 · 2024
    Article
  3. Observational
  4. Article
  5. SpineCloud: image analytics for predictive modeling of spine surgery outcomes.Journal of medical imaging (Bellingham, Wash.) · 2020
    Article
  6. Article
  7. Article
  8. 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

6 authors at 4 institutions in 2 countries.

Tobias A MatteiDepartment of Neurosurgery, Brain and Spine Center - Invision Health, 400 International Drive, Buffalo, NY, 14221, USA. tobiasmattei@yahoo.com.
Azeem A RehmanDepartment of Neurosurgery, West Virginia University, Morgantown, WV, USA.
Alisson R TelesDepartment of Neurosurgery, Montreal Neurological Hospital and Institute / McGill University, Montreal, Canada.
Jean C AldagDepartment of Neurosurgery, West Virginia University, Morgantown, WV, USA.
Dzung H DinhDepartment of Neurological Surgery, College of Medicine, The University of Illinois, Peoria, IL, USA.
Todd D McCallDepartment of Neurological Surgery, College of Medicine, The University of Illinois, Peoria, IL, USA.
West Virginia University · USIllinois College · USMcGill University · CANeurological Surgery · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to evaluate the predictive effect of non-invasive preoperative imaging methods on surgical outcomes of lumbar fusion for patients with degenerative disc disease (DDD) and refractory chronic axial low back pain (LBP), the authors conducted a retrospective review of 45 patients with DDD and refractory LBP submitted to anterior lumbar interbody fusion (ALIF) at a single center from 2007 to 2010. Surgical outcomes - as measured by Visual Analog Scale (VAS/back pain) and Oswestry Disability Index (ODI) - were evaluated pre-operatively and at 6 weeks, 3 months, 6 months, and 1 year post-operatively. Linear mixed-effects models were generated in order to identify possible preoperative imaging characteristics (including bone scan/99mTc scintigraphy increased endplate uptake, Modic endplate changes, and disc degeneration graded according to Pfirrmann classification) which may be predictive of long-term surgical outcomes . After controlling for confounders, a combined score, the Lumbar Fusion Outcome Score (LUFOS), was developed. The LUFOS grading system was able to stratify patients in two general groups (Non-surgical: LUFOS 0 and 1; Surgical: LUFOS 2 and 3) that presented significantly different surgical outcomes in terms of estimated marginal means of VAS/back pain (p = 0.001) and ODI (p = 0.006) beginning at 3 months and continuing up to 1 year of follow-up. In conclusion,  LUFOS has been devised as a new practical and surgically oriented grading system based on simple key parameters from non-invasive preoperative imaging exams (magnetic resonance imaging/MRI and bone scan/99mTc scintigraphy) which has been shown to be highly predictive of surgical outcomes of patients undergoing lumbar fusion for treatment for refractory chronic axial LBP.

Indexed as

AdolescentAdultChronic PainFemaleHumansIntervertebral Disc DegenerationLow Back PainLumbar VertebraeLumbosacral RegionMagnetic Resonance ImagingMaleMiddle AgedPain MeasurementSpinal FusionTreatment OutcomeYoung AdultAnterior lumbar interbody fusionBone scanChronic low back painDegenerative disc diseaseLumbar spinal fusionModic endplate changes

Identifiers

PMID27289367
OpenAlexW2409409509

What OpenQuestion holds

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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.