Is It Time to Rethink the Typical Course of Low Back Pain?
Bibliographic record
Abstract
OBJECTIVE: To determine the frequency and the characteristics of low back pain (LBP) recurrences. The research questions were as follows: (1) Are LBP recurrences common? (2) Do episodes worsen with multiple recurrences? (3) Does pain change location in any recognizable pattern during an episode? DESIGN: Single-page self-administered questionnaire. SETTING: Thirty clinical practices (primary care, physical therapy, chiropractic, and surgical spine) in North America and Europe. PATIENTS: A convenience sample of 589 respondents with LBP. There were no exclusions based on type of LBP, history of onset, or comorbidities. METHODS: The survey was distributed during patients' assessment or initial treatment at their respective clinics. The survey queried the following: (1) the severity of original versus most recent episodes based on the following: pain intensity, interference with leisure and work activities, duration of episodes, and most distal extent of pain; and (2) changes in pain location within episodes. RESULTS: In response to research question 1, a previous episode was reported by 73%; of those, 66.1% reported their first episode lasted ≤3 months, 54% reported ≥10 episodes, and 19.4% reported >50 episodes. In response to research question 2, of those with recurrences, 61.1% reported that at least one of the survey domains was worse in recent episodes (P < .01) and only 36.9% reported that they were better; 20.5% were worse in all domains, whereas 8.6% were better or the same. In response to research question 3, the pain location changed during the episode in 75.6%; of these, 63.2% reported that their pain first spread distally before retreating proximally during recovery; there was a strong trend toward those reporting worsening episodes also reporting proximal-to-distal-to-proximal changes in pain location during their episodes (r = 0.132, P < .06). CONCLUSION: Recurrent LBP episodes were common and numerous. Recurrences often worsened over time. It seems inappropriate to characterize the typical course of LBP as benign and favorable.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.060 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.011 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".