Evidence map›Paper›PMID 30511244›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 Society2019

Predicting clinical outcome and length of sick leave after surgery for lumbar spinal stenosis in Sweden: a multi-register evaluation.

Hanna Iderberg, Carl Willers, Fredrik Borgström, Rune Hedlund, Olle Hägg, Hans Möller, Ewald Ornstein, Bengt Sandén, Holger Stalberg, Hans Torevall-Larsson and 2 more

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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, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Observational
  5. Development and temporal validation of clinical prediction models for 1-year disability and pain after lumbar decompressive surgery. The Norwich Lumbar Surgery Predictor (development version).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
    Article
  6. Observational
  7. Comorbidity data collection across different spine registries: an evidence map.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
    Review
  8. Impact of Social Determinants of Health in Spine Surgery.Current reviews in musculoskeletal medicine · 2023
    Review
  9. The minimal important change for the EQ VAS based on the SF-36 health transition item: observations from 25772 spine surgery procedures.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2022
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Can the Charlson Comorbidity Index be used to predict the ASA grade in patients undergoing spine 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 · 2020
    Article
  15. Observational
  16. The Michel Benoist and Robert Mulholland yearly European spine journal review: a survey of the "surgical and research" articles in European spine journal, 2019.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 · 2020
    Review
  17. The Michel Benoist and Robert Mulholland yearly European spine journal review: a survey of the "medical" articles in European spine journal, 2019.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 · 2020
    Review
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.

Hanna IderbergIvbar Institute, Hantverkargatan 8, 112 21, Stockholm, Sweden. hanna.iderberg@ivbar.com.
Carl WillersIvbar Institute, Hantverkargatan 8, 112 21, Stockholm, Sweden.
Fredrik BorgströmIvbar Institute, Hantverkargatan 8, 112 21, Stockholm, Sweden.
Rune HedlundDepartment of Orthopaedics, Sahlgrenska University Hospital, Gothenburg, Sweden.
Olle HäggSpine Center Göteborg, Gothenburg, Sweden.
Hans MöllerDepartment of Clinical Sciences, Intervention and Technology (CLINTEC), Karolinska Institutet, Stockholm, Sweden.
Ewald OrnsteinDepartment of Orthopaedics, Örebro University Hosiptal, Örebro, Sweden.
Bengt SandénSection of Orthopedics, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Holger StalbergHälso- o. sjukvårdsförvaltningen, Stockholm County Council, Stockholm, Sweden.
Hans Torevall-LarssonFalu Lasarett, Falun, Sweden.
Tycho TullbergStockholm Spine Center AB, Löwenströmska Sjukhuset, Upplands Väsby, Sweden.
Peter FritzellFuturum Academy, Jönköping, Sweden.

Funding

Sveus (Ministry of Health and Social Affairs) Dnr S2012/8356/FS
6 · The paper itself

Abstract

purposeLumbar spinal stenosis (LSS) can be surgically treated, with variable outcome. Studies have linked socioeconomic factors to outcome, but no nation-wide studies have been performed. This register-based study, including all patients surgically treated for LSS during 2008-2012 in Sweden, aimed to determine predictive factors for the outcome of surgery.

methodsClinical and socioeconomic factors with impact on outcome in LSS surgery were identified in several high-coverage registers, e.g., the national quality registry for spine surgery (Swespine, FU-rate 70-90%). Multivariate regression analyses were conducted to assess their effect on outcome. Two patient-reported outcome measures, Global Assessment of leg pain (GA) and the Oswestry Disability Index (ODI), as well as length of sick leave after surgery were analyzed.

resultsClinical and socioeconomic factors significantly affected health outcome (both GA and ODI). Some predictors of a good outcome (ODI) were: being born in the EU, reporting no back pain at baseline, a high disposable income and a high educational level. Some factors predicting a worse outcome were previous surgery, having had back pain more than 2 years, having comorbidities, being a smoker, being on social welfare and being unemployed.

conclusionsThe study highlights the relevance of adding socioeconomic factors to clinical factors for analysis of patient-reported outcomes, although the causal pathway of most predictors' impact is unknown. These findings should be further investigated in the perspective of treatment selection for individual LSS patients. The study also presents a foundation of case mix algorithms for predicting outcome of surgery for LSS. These slides can be retrieved under Electronic Supplementary Material.

Indexed as

AdultAgedBack PainFemaleHumansLumbar VertebraeMaleMiddle AgedPain MeasurementPatient Reported Outcome MeasuresPrognosisRegistriesSick LeaveSocioeconomic FactorsSpinal StenosisSwedenFunctional disabilityGlobal assessmentLumbar spinal stenosisMulti-register studyPatient-reported outcomePrediction algorithmsRegression analysisSick leaveSocioeconomic factorsSpine surgery

Identifiers

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Textmetadata
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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.