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Table 1 Overview of ten studies in which LBP trajectories have been identified by data-driven approaches

From: What have we learned from ten years of trajectory research in low back pain?

Author

Setting

Sample size

Design

Timing and duration of follow-up

Measurement tool

Outcome measurea

Clustering method

Identified clusters

Label (% of cohort)

Dunn

Primary care

General practice

n = 342 (2001–03) [8]

n = 155 (2009–10) [10]

Observational

Monthly for 6 months

Questionnaires

LBP Intensity 3-cat.

Latent Class Analysis

2001-03 cohort

 Persistent mild 31 %

 Recovering 30 %

 Severe chronic 21 %

 Fluctuating 13 %

2009-10 cohort

 Persistent mild 37 %

 No or occasional 31 %

 Persistent severe 21 %

 Fluctuating 11 %

Axen

Primary care [12]

Chiropractic practice

n = 176

Observational

Weekly for 6 months

Text messaging

LBP Frequency 0–7

Hierarchical Cluster informed by spline regression (intercept, slopes, knot)

Typical [improve markedly during 4 weeks] 41 %

Stable [mild] 24 %

Slow improvement 15 %

Fast improvement 13 %

Not classified 6 %

Kongsted

Primary care [11]

General practice + Chiropractic practice

n = 1082

Observational

Weekly for 12 months

Text messaging

LBP Intensity 0–10

LBP Intensity 3-cat.

LBP Frequency 0–7

LBP Frequency 3-cat.

Latent Class Analysis

Latent Class Growth Analysis

bMild episodic 29 %

Recovery 26 %

Moderate/ severe 20 %

Improvement w/ relapse 13 %

Slow improvement 12 %

Macedo

Primary care + Secondary care [16]

General practice + outpatient clinic

(≥3 months duration)

n = 155

RCT

Monthly for 12 months

Text messaging

LBP Intensity 0–10

Hierarchical Cluster

informed by linear regression (deviations from line)

Non-fluctuating 87 %

 recovering mild 54 %

 persistent moderate 58 %

 severe chronic 17 %

Fluctuating 13 %

Chen

Workers on sick leave [13]

n = 678

Observational

Week 4, 10, 16,52

Interview

LBP Intensity 0–10

Hierarchical Cluster informed by linear regression (slope)

Continuous high 42 %

Fluctuating 33 %

Large reduction 12 %

Moderate reduction 12 %

Increasing 1 %

Tamcan

Population-based [14]

n = 305

Observational

Weekly for 12 months

Diary

LBP Intensity 3-cat.

Latent Class Analysis

Moderate 35 %

Fluctuating 34 %

Mild 20 %

Severe 10 %

Kent

Secondary care [15]

Outpatient clinic

n = 322

RCT

Fortnightly for 12 months

Monthly for 12 months

Test messaging

LBP Frequency 0–7

Two-step cluster

Fortnightly outcomesc

 Severe persistent 42 %

 Moderate 33 %

 Severe fluctuating 25 %

Monthly outcomes

 Severe 62 %

 Moderate 38 %

Deyo

Primary care + emergency care [17]

Age >65 years

n = 3929

Observational

Month 3, 6, 12

Questionnaire or phone

LBP intensity 0–10

Activity limitation

Latent Class Analysis

Pain intensity

 Moderate – High 36 %

 Low – Moderate 31 %

 High 13 %

 Moderate –Recovery 7 %

 Severe – Recovery 7 %

 Low 6 %

Activity limitation

 Moderate – High 32 %

 Low – Moderate 25 %

 Low 19 %

 High 19 %

 Recovery 6 %

Downie

Primary care [18]

General practice (<6 weeks duration of LBP)

N = 1585

RCT

Week 1, 2, 4, 12

Recorded in a booklet - transcribed by phone

LBP intensity

Latent Class Growth Analysis

Rapid recovery 36 %

Recovery by week 12 34 %

Incomplete recovery 14 %

Fluctuating pain 11 %

Persistent high pain 5 %

  1. aLBP Frequency = Number of days with LBP last week
  2. bThe study presented 12 different models with from five to twelve trajectory patterns identified. The example was based on categorical LBP intensity
  3. cTrajectories were named for the purpose of this paper. In the paper they were labeled with numbers