Evidence map›Paper›PMID 34551805›Full record

Observational studyChiropractic & manual therapies2021

Pain trajectories and possible predictors of a favourable course of low back pain in patients consulting musculoskeletal physicians in The Netherlands.

Wouter Schuller, Raymond W Ostelo, Daphne C Rohrich, Martijn W Heymans, Henrica C W de Vet

Abstract readObservational Study
In one paragraph

Observational study in Chiropractic & manual therapies, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Wouter SchullerAmsterdam UMC, Location VUmc, Department of Data Science and Biostatistics, Amsterdam Public Health Research Institute, de Boelelaan 1117, Amsterdam, The Netherlands. w.schuller@amsterdamumc.nl.ORCID 0000-0003-2839-7321
Raymond W OsteloAmsterdam UMC, Location VUmc, Department of Data Science and Biostatistics, Amsterdam Public Health Research Institute, de Boelelaan 1117, Amsterdam, The Netherlands.
Daphne C RohrichAmsterdam UMC, Location VUmc, Department of Data Science and Biostatistics, Amsterdam Public Health Research Institute, de Boelelaan 1117, Amsterdam, The Netherlands.
Martijn W HeymansAmsterdam UMC, Location VUmc, Department of Data Science and Biostatistics, Amsterdam Public Health Research Institute, de Boelelaan 1117, Amsterdam, The Netherlands.
Henrica C W de VetAmsterdam UMC, Location VUmc, Department of Data Science and Biostatistics, Amsterdam Public Health Research Institute, de Boelelaan 1117, Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn The Netherlands, low back pain patients can consult physicians specialized in musculoskeletal (MSK) medicine. Previous studies have reported on the characteristics of patients consulting MSK physicians, and the treatment options used. There are no studies yet reporting on the course of Low Back Pain (LBP) after treatment by musculoskeletal (MSK) physicians in The Netherlands.

methodsIn an observational cohort study MSK physicians recorded data about all low back pain patients presenting for a first consultation. At baseline they recorded age, gender, type and duration of the main complaint, and concomitant complaints. At the end of treatment they recorded the type of treatment and the number of treatment sessions. Patients were recruited to answer questionnaires at baseline, and at 6-weekly intervals during a follow-up period of six months. Patient questionnaires included information about previous medical consumption, together with PROMs measuring the level of pain and functional status. Latent Class Growth Analysis (LCGA) was used to classify patients into different groups according to their pain trajectories. Baseline variables were evaluated as predictors of a favourable trajectory using logistic regression analyses, and treatment variables were evaluated as possible confounders.

resultsA total of 1377 patients were recruited, of whom 1117 patients (81%) answered at least one follow-up measurement. LCGA identified three groups of patients with distinct pain trajectories. A first group (N = 226) with high pain levels showed no improvement, a second group (N = 578) with high pain levels showed strong improvement, and a third group (N = 313) with mild pain levels showed moderate improvement. The two groups of patients presenting with high baseline pain scores were compared, and a multivariable model was constructed with possible predictors of a favourable course. Male gender, previous specialist visit, previous pain clinic visit, having work, a shorter duration of the current episode, and a longer time since the complaints first started were predictors of a favourable course. The multivariable model showed a moderate area under the curve (0.68) and a low explained variance (0.09).

conclusionsIn low back pain patients treated by musculoskeletal physicians in The Netherlands three different pain trajectories were identified. Baseline variables were of limited value in predicting a favourable course.

Indexed as

Low Back PainPhysiciansHumansMaleNetherlandsProspective StudiesReferral and ConsultationLow back painMusculoskeletal medicinePain trajectoriesPrediction modelSpinal manipulative treatment

Identifiers

PMID34551805
PMCPMC8456566

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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.