Evidence map›Paper›PMID 31566839›Full record

ArticleEuropean journal of pain (London, England)2020

Predictive factors of high societal costs among chronic low back pain patients.

Elizabeth N Mutubuki, Mariette A Luitjens, Esther T Maas, Frank J P M Huygen, Raymond W J G Ostelo, Maurits W van Tulder, Johanna M van Dongen

Abstract read
In one paragraph

Article in European journal of pain (London, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 3 pooled it
–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

31 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  6. Healthcare expenditure and its predictors in a cohort of Australians living with sciatica.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 · 2021
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  9. Catastrophizing and fear avoidance beliefs in chronic low back pain: a cross-sectional study.European journal of physical and rehabilitation medicine · 2025
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  14. Healthcare resource utilization for chronic low back pain among high-utilizers.The spine journal : official journal of the North American Spine Society · 2024
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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

7 authors.

Elizabeth N MutubukiDepartment of Health Sciences, Faculty of Science, Vrije University Amsterdam, Amsterdam Movement Sciences Research Institute, Amsterdam, The Netherlands.
Mariette A LuitjensDepartment of Health Sciences, Faculty of Science, Vrije University Amsterdam, Amsterdam Movement Sciences Research Institute, Amsterdam, The Netherlands.
Esther T MaasDepartment of Health Sciences, Faculty of Science, Vrije University Amsterdam, Amsterdam Movement Sciences Research Institute, Amsterdam, The Netherlands.
Frank J P M HuygenDepartment of Anesthesiology, Centre of Pain Medicine, Erasmus Medical Center, Rotterdam, The Netherlands.
Raymond W J G OsteloDepartment of Health Sciences, Faculty of Science, Vrije University Amsterdam, Amsterdam Movement Sciences Research Institute, Amsterdam, The Netherlands.
Maurits W van TulderDepartment of Health Sciences, Faculty of Science, Vrije University Amsterdam, Amsterdam Movement Sciences Research Institute, Amsterdam, The Netherlands.
Johanna M van DongenDepartment of Health Sciences, Faculty of Science, Vrije University Amsterdam, Amsterdam Movement Sciences Research Institute, Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSocietal costs of low back pain (LBP) are high, yet few studies have been performed to identify the predictive factors of high societal costs among chronic LBP patients. This study aimed to determine which factors predict high societal costs in patients with chronic LBP.

methodsData of 6,316 chronic LBP patients were used. In the main analysis, high societal costs were defined as patients in the top 10% of cost outcomes. Sensitivity analyses were conducted using patients in the top 5% and top 20% of societal costs. Potential predictive factors included patient expectations, demographic factors (e.g. age, gender, nationality), socio-economic factors (e.g. employment, education level) and health-related factors (e.g. body mass index [BMI], general health, mental health). The final prediction models were obtained using backward selection. The model's prognostic accuracy (Hosmer-Lemeshow X

resultsPoor physical health, high functional disability, low health-related quality of life, high impact of pain experience, non-Dutch nationality and decreasing pain were found to be predictive of high societal costs in all models, and were therefore considered robust. After internal validation, the models' fit was good, their explained variance was relatively low (≤14.1%) and their AUCs could be interpreted as moderate (≥0.71).

conclusionFuture studies should focus on understanding the mechanisms associated with the identified predictors for high societal costs in order to design effective cost reduction initiatives. SIGNIFICANCE: Identifying low back pain patients who are at risk (risk stratification) of becoming high-cost users and making appropriate initiatives could help in reducing high costs.

Indexed as

Chronic PainLow Back PainEmploymentForecastingHumansQuality of Life

Identifiers

PMID31566839
PMCPMC7003839

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.