Skip to main content

Prediction of walking ability following posterior decompression for lumbar spinal stenosis



Following surgery for lumbar spinal stenosis (LSS) up to 40% of people report persistent walking disability. This study aimed to identify pre-operative factors that are predictive of walking ability post-surgery for LSS.


An observational cohort study was conducted using data from the British Spine Registry (2017–2018) of adults (≥ 50 years) with LSS, who underwent ≤ 2 level posterior lumbar decompression. Patients receiving fixation or who had previous lumbar surgery were excluded. Walking ability was assessed by a single item on the Oswestry Disability Index and dichotomised into poor/good outcome. Multivariable regression models were performed.


14,485 patients were identified. Pre-operatively 30% patients reported poor walking ability, this decreased to 8% at 12 months follow-up. Predictors associated with poor walking ability at 12 months were: increasing age (≥ 75 years OR 1.54, 95% CI 1.07, 2.18), BMI ≥ 35 kg/m2 (OR 1.52, 95% CI 1.00, 2.30), severity of leg pain (OR 1.10, CI 95% 1.01, 1.21), disability (OR 1.01, 95% CI 1.01, 1.02) and quality of life (OR 0.72, 95% CI 0.56, 0.89). Pre-operative maximum walking distance (OR 1.10, 95% CI 1.05, 1.25) and higher education (OR 0.90, 95% CI 0.80, 0.96) were associated with reduced risk of poor walking ability at 12 months; p < 0.05. Depression, fear of movement and symptom duration were not associated with risk of poor outcome.


Older age, obesity, greater pre-operative pain and disability and lower quality of life are associated with risk of poor walking ability post-operatively. Greater pre-operative walking and higher education are associated with reduced risk of poor walking ability post-operatively. Patients should be counselled on their risk of poor outcome and considered for rehabilitation so that walking and surgical outcomes may be optimised.


Lumbar spinal stenosis (LSS) is a degenerative condition that occurs in approximately 10% of older adults, causing compression of nerves and blood vessels within the lumbar spine. LSS is characterised by neurogenic claudication: pain, numbness and sometimes weakness in the legs upon walking or standing [1]. Patients experience greater walking limitation than those with knee or hip osteoarthritis [2] and report a loss of sense of self and reduced participation in meaningful activities as a result of their functional limitations [3].

Initial management of LSS is typically physiotherapy and analgesia. However, if conservative management is unsuccessful, decompression surgery (most commonly posterior decompression) may be offered to reduce pain and improve function, specifically walking [4]. LSS is the most common indication for spinal surgery in older adults [1] with over 20,000 annual procedures performed in England annually [5]. There are considerable personal and healthcare costs associated with LSS [6] and this burden is expected to increase with the ageing population [1].

Post-surgical outcomes following LSS surgery are an area of debate. Whilst surgery decompresses the spinal nerves, the correlation between spinal canal size and walking ability is poor [7]. In addition, up to 40% of people report walking disability post-operatively [8] and, at six months post-surgery few achieve minimum physical activity recommendations [9]. These findings question decision-making processes for surgery. Knowledge of factors that are predictive of outcome following lumbar decompression surgery for LSS may be valuable to inform selection of patients, or expectation setting before surgery, and to inform rehabilitation post-operatively.

There are limited data on factors predictive of outcome following surgery for LSS. A systematic review published in 2006 (n = 21 studies, 7 at low risk of bias) found that being male, younger, having greater pre-operative walking ability, better self-reported health status and a higher income predicted better post-operative walking; whereas depression and cardiovascular comorbidities predicted poorer post-operative walking [10]. However, the authors were unable to calculate odds ratio or relative risks of the predictive factors due to the heterogeneity of the included studies. Therefore, the strength of the associations were not quantified, thus limiting confidence in findings to inform clinical decision-making. Subsequent studies have been at high risk of bias by excluding patients with missing data or under-powered with small sample sizes [11]. Therefore, a low risk of bias, adequately powered study is required. The use of surgical registries provides an opportunity to collect real-world data on large numbers of patients.


To identify pre-operative factors that are predictive of walking ability at 6 weeks, 6 months and 12 months following posterior decompression for LSS.


Study design

An observational cohort study was conducted using data derived from the British Spine Registry (BSR) for all participants undergoing surgery in 2017 and 2018. Prior to surgery patients were invited to contribute to the registry; surgeons entered patient clinical, socio-demographic and surgical details and the patients were requested to complete self-reported outcome measures pre-operatively and at 6 weeks, 6 months and 12 months post-operatively. The outcome measures were completed on paper or electronically, either in clinic or via an email link. The Strengthening the Observational Report on Epidemiology (STROBE) guidelines [12] were used to inform design and reporting of the study. Ethical approval was obtained from the University of Birmingham Research Ethics Committee (ERN_19-1274AP1). Patients provided consent for their data to be used for evaluation purposes when they initially signed up to the registry.

Data source

The BSR was launched in 2012 with the British Association of Spine Surgeons as the data controller. The registry allows all UK spinal surgeons to record information about patient diagnosis, co-morbidities, surgical procedures, complications; patient-reported outcome measures (PROMs) and patient-reported experience measures. The BSR aims to be a ‘whole practice’ registry covering lumbar degenerative, cervical degenerative, deformity, tumour, trauma, infection and intradural problems. Data for this study were extracted from the registry’s lumbar degenerative pathway.


Adult patients aged ≥ 50 years old, entered in the BSR with a defined episode of 1 or 2 level lumbar posterior decompression surgery due to LSS (laminotomy, hemi-laminectomy, laminectomy, undercutting and/or partial facet joint resection) were included. Patients who received any form of fixation, micro-discectomy in isolation, surgery for non-degenerative cause (e.g. fracture, malignancy or infection) or who had had previous lumbar surgery were excluded.

Candidate predictor variables

Potential predictors were all clinical and demographic details and PROMs collected pre-operatively: age, gender, comorbidities, body mass index (BMI), smoking status, education level (up to and including secondary school education: higher education), duration of symptoms, analgesia use, self-reported maximum walking distance and time able to stand, and working status. PROMs were used to assess back related disability (Oswestry Disability Index, ODI [13]), back and leg pain severity (Numerical rating scale, NRS), quality of life (EuroQuol five dimension, 5-level questionnaire [14], EQ5D), fear avoidance beliefs (Fear Avoidance Belief Questionnaire [15]) and depression (Zung depression questionnaire [16]).


Walking ability was assessed using a single item on the ODI [13]. The ODI is a widely used, validated, self-reported functional outcome measure specifically for use with people with low back pain. The ODI contains a single item asking patients to rate their walking ability from six statements ranging from “pain does not prevent me from walking” to “I am in bed most of the time”. It has been found to be a valid measure for self-rated walking ability [17]. To the best of our knowledge there is no published data on minimal clinical important difference for the single item. Therefore, walking ability was dichotomised into poor/good outcome based on patient’s response (Table 1). The dichotomy was defined a priori and based upon clinical judgment and the minimum clinically important difference of the ODI [18].

Table 1 Oswestry disability index walking item

Management of data

The effect of missing data for variables (e.g. BMI, smoking and PROMS) was dealt with by using multiple imputation using the Multivariable Imputation by Chained Equations (MICE) [19]. This technique replaces missing data with plausible values to estimate a more realistic regression coefficient, which means that variables with missing data are imputed one by one. Data within registries is also subject to data entry errors. To counteract this, extreme values were excluded.

Statistical analysis

Descriptive statistics

All statistical analyses were conducted using STATA version 13.1 (Stata Corp, College Station Texas, USA). Descriptive statistics were used to summarise participants’ characteristics: means, standard deviation, medians and interquartile ranges (IQR) for continuous variables; and frequencies for categorical variables. Variability of distribution for each variable was tested separately. For data with high skewness the distribution was tested using histograms, with medians and IQR used to describe the central tendency and variability of the data.

Statistical modelling

To explore the influence of each predictive factor on poor outcome both linear and logistic multivariable regression models were fitted and mean differences or ORs including their 95% CIs for each candidate predictive factor reported. Multivariate analysis initially included all candidate predictive factors, and full results were reported. Selection of items for the model included those factors which were statistically significantly (p < 0.05) associated with poor outcome according to the univariate analysis and those deemed clinically relevant to retain.


The study population consisted of 14,485 adult patients aged ≥ 50 years following posterior decompression for LSS. Mean age of the study population was 68 ± 10.5 years and 51% were female. The mean pre-operative maximum distance able to walk was 167.3 m (± 226.3). Table 2 provides the clinical-demographic details and pre-operative PROMS for the study population.

Table 2 Baseline characteristics of the LSS (posterior decompression) population [n = 14,485]

Evaluation of the pre to post walking ability

Table 3 and Fig. 1 illustrate the ODI walking ability at baseline and follow up. The number of patients with poor walking ability consistently decreased from baseline. At baseline 30% of patients (50% of participants with baseline score) reported poor walking ability, this decreased to 7.6% at 12 months follow-up (24.1% of participants with 12 month follow up outcome recorded). Post-operative poor outcome consistently decreased during follow-up period. Although a large number of patients had missing data during follow-up the ratio of good: poor walking improved post-operatively to six months followup, and then progress appeared to plateau.

Table 3 Walking ability as measured by the single item on the Oswestry Disability Index
Fig. 1
figure 1

Walking ability: pre-operative, 6 weeks, 6- and 12-months follow-up

Determination of pre-operative factors that predict walking ability—univariate analysis

In the univariate analysis, severity of leg pain, quality of life, disability, and presence of a comorbidity were statistically significantly associated with risk of poor outcome (walking ability) (p =  < 0.05). The most common comorbidities were diabetes and obesity (Table 2). None of the other factors or PROMs showed statistically significant association with poor outcome (Table 4).

Table 4 Factors predicting walking ability 6 weeks, 6 and 12 months following surgery – univariate analysis

Determination of pre-operative factors that predict walking ability—multivariate analysis

6 weeks post-operative

In the multivariate analysis increasing age (except for 65–69.5 age group), BMI 35–39.9 kg/m2, level of education, severity of leg pain, quality of life, and back-related disability were predictive of poor post-operative walking ability (Table 5).

Table 5 Factors predicting walking ability 6 weeks, 6 months and 12 months following surgery – multivariate analysis

6 months post-operative

The results of the multivariate analysis identified that age, BMI 35–39.9 kg/m2, level of education, severity of leg pain, quality of life, and back-related disability continued to be predictive of poor post-operative walking ability. In addition, self-reported pre-operative maximum walking distance and BMI ≥ 40 kg/m2 were predictive of poor walking ability (Table 5).

12 months post-operative

In the multivariate analyses, age, BMI ≥ 35 kg/m2, self-reported pre-operative maximum walking distance, level of education, severity of leg pain, quality of life, and back-related disability continued to be predictive of post-operative walking ability (Table 5).


We identified 14,485 patients registered on a national prospective registry receiving posterior decompressive surgery for LSS. Increasing age, BMI ≥ 35 kg/m2, self-reported pre-operative maximum walking distance, level of education, severity of leg pain, quality of life, and back-related disability were consistently associated with risk of poor walking ability six weeks to 12 months post-operatively. All other variables investigated were not found to be predictive.

Increasing age (except for the category 65–69.5 years) was found to be associated with risk of poor walking ability. Although this is consistent with the previous systematic review [10] subsequent studies have not demonstrated consistent results [20, 21]. The reason for the discrepancies are unclear, and may be due to methodological differences including difference in outcomes. When considering walking difficulty is associated with older age in the general population [22], older adults, especially ≥ 75 years should be considered to be at risk of poor walking ability post-operatively.

Following age ≥ 75 years, very high BMI (≥ 35 kg/m2) had the largest odds ratio for all the candidate variables investigated. This is consistent with observational studies investigating walking ability prior to surgery [23] and clinical outcomes post LSS surgery [24] thus adds credibility to our findings. As BMI is potentially modifiable, this result provides a possible target to address to improve walking ability post-surgery.

Pre-operative maximum walking distance (self-reported) was found to be associated with risk of poor walking ability post-operatively. This is consistent with the previous systematic reviews [10, 25] and provides credibility to our results. We also found disability and severity of leg pain to be significant factors however this is in contrast to a recent systematic review [25] who reported there was low evidence that disability and severity pain was not associated with walking capacity post-operatively. The reason for this discrepancy is unclear and is worth further investigation including the exploration of possible causation mechanisms.

Psychosocial variables have been identified as risk factors for walking disability in people with back pain [26] and other long term conditions [27, 28]. Within the current study the influence of fear avoidance, depression and quality of life was investigated. Only quality of life was found to be significantly associated with risk of poor post-operative walking ability, this is in contrast to a high quality study (n = 452) that reported no association between quality of life (measured by with the EQ5D-3L) and achieving the minimum clinical important difference in the function subscale of the Zurich Claudicant Questionnaire [29] at 12 months post-operative [21]. Our study is consistent with previous studies that did not identify an association between pre-operative fear of movement [30] or depression [31, 32] and post-operative walking in people with LSS. Interestingly in a group of 122 people undergoing surgery for LSS, mental health scores improved post-operatively [31]; and in further studies, continuous (i.e. present pre and post-operatively) fear of movement [30] and continuous depression [32] were demonstrated to be associated with post-operative walking ability whereas there was no association if present pre-operatively only. Thus it may be the post-operative psychosocial variables, rather than the pre-operative variables that are important in this cohort. This warrants further investigation as psychosocial factors are potentially modifiable and have been demonstrated to be a promising target for rehabilitation [33].

The current study has demonstrated that older age, BMI, pre-operative maximum walking distance, educational level, quality of life, leg pain and disability are associated with risk of poor walking post-operatively. Of these variables BMI, pre-operative walking distance, quality of life, pain and disability are potentially modifiable. Clinicians should therefore counsel their patients with these characteristics on their risk of poor outcome and encourage them to optimise their weight and health and consider referring them for rehabilitation. There have been promising results for pre-operative physiotherapy [34] and post-operative Cognitive-based Physical Therapy [33] to improve walking ability in adults with degenerative lumbar conditions. Future research may demonstrate it is possible to stratify patients at risk of poor outcome to receive rehabilitation, so that their post-operative outcomes and their walking are optimised.

Strengths and limitations

Using a national surgical database, a large cohort of patients receiving surgery for LSS has been studied. The large number of participants included increases the generalisability of our results as participants do not represent one or two small clusters. Key variables predicting risk of poor walking ability post-operatively and areas that require further research have been identified.

There were large amounts of missing data. Missing data and loss to follow-up is an inherent problem with national databases. There is the concern that the missing data may be due to a systematic reason i.e. that it is not missing completely at random and this can introduce an inherent bias. In an attempt to reduce the risk of bias, and increase confidence in our results we included all registered patients [35] and clearly reported the missingness. However, there were large amounts of missing data thus selection bias cannot be completely ruled out. Additionally, there was a high loss to follow-up rate although, there remained a high number of participants at 12 months follow up (over 4500). In order to scrutinise our data and any impact from our imputations, we re-ran the analysis including participants with a completed ODI score at 12 months (see table 6 and 7, online supplementary information). This identified the same significant factors and thus increases the confidence, value, and generalisability of our results.

At baseline 30% of the included patients reported poor walking ability, this decreased post-operatively, with poor walking ability reported by 8.2% at 3 months follow-up and 7.6% at 12 months follow-up. This is a low prevalence compared to other reports [8] and may be due the impact of the missing data. Although the ODI is a well-recognised measure, we are not aware of other studies that have defined poor outcome in the same method as the current study. Our dichotomy was carefully considered to avoid a type I error however, future research should consider whether the dichotomy used to assess poor outcome is sufficiently sensitive. Due to the data retrieval process it was not possible to analyse the impact of individual comorbidities. This information could prove pertinent and is a recommended area for future research.


In an analysis of over 14,000 patients from a national prospective spinal registry older age, higher BMI, greater severity of pre-operative leg pain and disability were associated with risk of poor walking ability and greater pre-operative maximum walking distance and higher education were associated with lower risk of poor walking ability six weeks to 12 months post-operative. Patients with these risk factors should be counselled on their risk of poor outcome and considered for rehabilitation so that walking and surgical outcomes may be optimised.


  1. 1.

    Tomkins-Lane C, Melloh M, Lurie J et al (2016) ISSLS prize winner: consensus on the clinical diagnosis of lumbar spinal stenosis: results of an international delphi study. Spine (Phila Pa 1976) 41:1239–1246 (PubMed PMID: 26839989; PubMed Central PMCID: PMCPMC4966995)

    Article  Google Scholar 

  2. 2.

    Winter CC, Brandes M, Müller C, Schubert T, Ringling M, Hillmann A, Rosenbaum D, Schulte TL (2010) Walking ability during daily life in patients with osteoarthritis of the knee or the hip and lumbar spinal stenosis: a cross sectional study. BMC Musculoskelet Disord 11:233.

    Article  PubMed  PubMed Central  Google Scholar 

  3. 3.

    Lyle S, Williamson E, Darton F, Griffiths F, Lamb SE (2017) A qualitative study of older people’s experience of living with neurogenic claudication to inform the development of a physiotherapy intervention. Disabil Rehabil 39:1009–1017.

    Article  PubMed  Google Scholar 

  4. 4.

    Ammendolia C, Stuber K, Tomkins-Lane C, Schneider M, Rampersaud YR, Furlan AD, Kennedy CA (2014) What interventions improve walking ability in neurogenic claudication with lumbar spinal stenosis? A systematic review. Eur Spine J 23:1282–1301. (PubMed PMID: 24633719)

    Article  PubMed  Google Scholar 

  5. 5.

    NHS Digital Hospital Admitted Patient Care Activity, 2017–18. 2018

  6. 6.

    Rampersaud YR, Lewis SJ, Davey JR, Gandhi R, Mahomed NN (2014) Comparative outcomes and cost-utility after surgical treatment of focal lumbar spinal stenosis compared with osteoarthritis of the hip or knee–part 1: long-term change in health-related quality of life. Spine J 14:234–243.

    Article  PubMed  Google Scholar 

  7. 7.

    Kuittinen P, Sipola P, Saari T, Aalto TJ, Sinikallio S, Savolainen S, Kröger H, Turunen V, Leinonen V, Airaksinen O (2014) Visually assessed severity of lumbar spinal canal stenosis is paradoxically associated with leg pain and objective walking ability. BMC Musculoskelet Disord 15:348.

    Article  PubMed  PubMed Central  Google Scholar 

  8. 8.

    Weinstein JN, Tosteson TD et al (2010) Surgical versus nonoperative treatment for lumbar spinal stenosis four-year results of the Spine Patient Outcomes Research Trial. Spine (Phila Pa 1976) 35:1329–1338.

    Article  Google Scholar 

  9. 9.

    Smuck M, Muaremi A, Zheng P, Norden J, Sinha A, Hu R, Tomkins-Lane C (2018) Objective measurement of function following lumbar spinal stenosis decompression reveals improved functional capacity with stagnant real-life physical activity. Spine J 18:15–21.

    Article  PubMed  Google Scholar 

  10. 10.

    Aalto TJ, Malmivaara A et al (2006) Preoperative predictors for postoperative clinical outcome in lumbar spinal stenosis: systematic review. Spine (Phila Pa 1976) 31:E648–E663.

    Article  Google Scholar 

  11. 11.

    Schulte TL, Schubert T et al (2010) Step activity monitoring in lumbar stenosis patients undergoing decompressive surgery. Eur Spine J 19:1855–1864.

    Article  PubMed  PubMed Central  Google Scholar 

  12. 12.

    von Elm E, Altman DG, Egger M, Pocock SJ, Gøtzsche PC, Vandenbroucke JP, Initiative S (2007) The strengthening the reporting of observational studies in epidemiology (STROBE) statement: guidelines for reporting observational studies. Lancet 370:1453–1457.

    Article  Google Scholar 

  13. 13.

    Fairbank JCT, Pynsent PB (2000) The oswestry disability index. Spine 25:2940–2953

    CAS  Article  Google Scholar 

  14. 14.

    Janssen MF, Pickard AS et al (2013) Measurement properties of the EQ-5D-5L compared to the EQ-5D-3L across eight patient groups: a multi-country study. Qual Life Res 22:1717–1727

    CAS  Article  Google Scholar 

  15. 15.

    Cleland JA, Fritz JM, Brennan GP (2008) Predictive validity of initial fear avoidance beliefs in patients with low back pain receiving physical therapy: is the FABQ a useful screening tool for identifying patients at risk for a poor recovery? Eur Spine J 17:70–79.

    Article  PubMed  Google Scholar 

  16. 16.

    Zung WW (1965) A self-rating depession scale. Arch Gen Psychiatry 12:63–70.

    CAS  Article  PubMed  Google Scholar 

  17. 17.

    Anderson DB, Mathieson S, Eyles J, Maher CG, Van Gelder JM, Tomkins-Lane CC, Ammendolia C, Bella V, Ferreira ML (2019) Measurement properties of walking outcome measures for neurogenic claudication: a systematic review and meta analysis. Spine J 19:1378–1396.

    Article  PubMed  Google Scholar 

  18. 18.

    Asher AL et al (2018) Defining the minimum clinically important difference for grade I degenerative lumbar spondylolisthesis: insights from the Quality Outcomes Database. Neurosurg Focus 441:E2

    Article  Google Scholar 

  19. 19.

    Azur MJ, Stuart EA, Frangakis C, Leaf PJ (2011) Multiple imputation by chained equations: what is it and how does it work? Int J Methods Psychiatr Res 20:40–49.

    Article  PubMed  PubMed Central  Google Scholar 

  20. 20.

    Sigmundsson FG, Kang XP, Jonsson B, Stromqvist B (2012) Prognostic factors in lumbar spinal stenosis surgery. Acta Orthop 83:536–542

    Article  Google Scholar 

  21. 21.

    Held U, Burgstaller JM et al (2018) Prognostic function to estimate the probability of meaningful clinical improvement after surgery - Results of a prospective multicenter observational cohort study on patients with lumbar spinal stenosis. PLoS ONE.

    Article  PubMed  PubMed Central  Google Scholar 

  22. 22.

    Brach JS, Vanswearingen JM (2013) Interventions to improve walking in older adults. Curr Transl Geriatr Exp Gerontol Rep.

    Article  PubMed  PubMed Central  Google Scholar 

  23. 23.

    Tomkins-Lane CC, Holz SC, Yamakawa KS, Phalke VV, Quint DJ, Miner J, Haig AJ (2012) Predictors of walking performance and walking capacity in people with lumbar spinal stenosis, low back pain, and asymptomatic controls. Arch Phys Med Rehabil 93:647–653.

    Article  PubMed  PubMed Central  Google Scholar 

  24. 24.

    Pearson A, Lurie J, Tosteson T, Zhao WY, Abdu W, Weinstein JN (2012) Who should have surgery for spinal stenosis? Treatment effect predictors in SPORT. Spine 37:1791–1802.

    Article  PubMed  PubMed Central  Google Scholar 

  25. 25.

    McIlroy S, Walsh E, Sothinathan C, Stovold E, Norwitz D, Norton S, Weinman J, Bearne L (2021) Pre-operative prognostic factors for walking capacity after surgery for lumbar spinal stenosis: a systematic review. Age Ageing.

  26. 26.

    Hartvigsen J, Hancock MJ et al (2018) What low back pain is and why we need to pay attention. Lancet.

    Article  PubMed  Google Scholar 

  27. 27.

    Galea MN, Bray SR, Ginis KA (2008) Barriers and facilitators for walking in individuals with intermittent claudication. J Aging Phys Act 16:69–83

    Article  Google Scholar 

  28. 28.

    Danks KA, Pohlig RT, Roos M, Wright TR, Reisman DS (2016) Relationship between walking capacity, biopsychosocial factors, self-efficacy, and walking activity in persons poststroke. J Neurol Phys Ther 40:232–238.

    Article  PubMed  PubMed Central  Google Scholar 

  29. 29.

    Stucki G, Liang MH, Fossel AH, Katz JN (1995) Relative responsiveness of condition-specific and generic health-status measures in degenerative lumbar spinal stenosis. J Clin Epidemiol 48:1369–1378

    CAS  Article  Google Scholar 

  30. 30.

    Burgstaller JM, Wertli MM, Steurer J, Kessels AG, Held U, Gramke HF, Group LS (2017) The Influence of Pre- and postoperative fear avoidance beliefs on postoperative pain and disability in patients with lumbar spinal stenosis: analysis of the lumbar spinal outcome study (LSOS) data. Spine 42:E425–E432

    Article  Google Scholar 

  31. 31.

    Kobayashi Y, Ogura Y et al (2019) The influence of preoperative mental health on clinical outcomes after laminectomy in patients with lumbar spinal stenosis. Clin Neurol Neurosurg 185:105481.

    Article  PubMed  Google Scholar 

  32. 32.

    Sinikallio S, Aalto T, Airaksinen O, Lehto SM, Kroger H, Viinamaki H (2011) Depression is associated with a poorer outcome of lumbar spinal stenosis surgery: a two-year prospective follow-up study. Spine 36:677–682

    Article  Google Scholar 

  33. 33.

    Archer KR, Devin CJ et al (2016) Cognitive-behavioral-based physical therapy for patients with chronic pain undergoing lumbar spine surgery: a randomized controlled trial. J Pain 17:76–89.

    Article  PubMed  Google Scholar 

  34. 34.

    Fors M, Enthoven P, Abbott A, Oberg B (2019) Effects of pre-surgery physiotherapy on walking ability and lower extremity strength in patients with degenerative lumbar spine disorder: secondary outcomes of the PREPARE randomised controlled trial. BMC Musculoskelet Disord 20:468

    Article  Google Scholar 

  35. 35.

    Sterne JA, White IR, Carlin JB et al (2009) Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls. BMJ 338:b2393

Download references


Partial funding support was provided for Research Fellow time (FK) to analyse and present the data by Amplitude Clinical – the company that provides the platform hosting the British Spinal Registry. SMc has a Research Training Fellowship with the Dunhill Medical Trust (Grant No. RTF2006\14).

Author information




AR is Chief Investigator and guarantor. SM and DB were responsible for the conception of the study. AR and FJ led protocol development, supported by all authors. AR and FJ led on data analyses and drafted results. All authors have contributed to data interpretation, conclusions and dissemination. SM drafted the initial manuscript. Subsequent drafts were developed with all authors. All authors have read, contributed to and agreed upon the final manuscript.

Corresponding author

Correspondence to Suzanne McIlroy.

Ethics declarations

Competing interests

The corresponding author has completed the disclosure of potential conflicts of interest and declare: no support from any organisation for the submitted work; no financial relationships with any organisations that might have an interest in the submitted work in the previous three years; no other relationships or activities that could appear to have influenced the submitted work.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (PDF 186 KB)

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

McIlroy, S., Jadhakhan, F., Bell, D. et al. Prediction of walking ability following posterior decompression for lumbar spinal stenosis. Eur Spine J 30, 3307–3318 (2021).

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI:


  • Lumbar spinal stenosis
  • Walking
  • Outcome
  • Decompression
  • Prognosis