Bibliographic record
Abstract
STUDY DESIGN: A systematic search and review OBJECTIVE.: The aim of this study was to investigate the term, degenerative disc disease, to elucidate its current usage and inform clinical, research, and policy recommendations. SUMMARY OF BACKGROUND DATA: Degenerative disc disease has long been a dominant concept in common, painful spinal disorders. Yet, despite its pervasiveness and important clinical consequences and controversies, there has not been a systematic examination of its use and meaning in the scientific literature. METHODS: We conducted a systematic search of publications using the term degenerative disc disease from 2007 through 2016 in Ovid MEDLINE (R), Embase, CINAHL, and Scopus. Two investigators independently reviewed all publications in the primary sample. Publication and author identifiers, and qualitative study descriptors were extracted. Finally, the definition of degenerative disc disease was placed in one of eight categories. Data were summarized using descriptive statistics. RESULTS: Degenerative disc disease appeared in the titles of 402 publications in the primary sample and increased in frequency by 189% from the first to the last 3 years of the decade. No single definition was used in the majority of publications, and most frequently, the term was used without any definition provided (30.1%). In other cases, degenerative disc disease specifically included radiculopathy or myelopathy (14.4%), or only back or neck pain (5.5%), or was equated with disc degeneration regardless of the presence of symptoms (15.4%), or with discogenic pain or disc degeneration as a presumed cause of axial pain (12.7%). Another 7.2% comprised a mix of broad ranging findings and diagnoses. The most notable differences in definitions occurred between surgeons and other disciplines, and when applied to cervical versus lumbar regions. CONCLUSION: Despite longstanding use and important consequences, degenerative disc disease represents an underdeveloped concept, with greatly varying, disparate definitions documented. Such inconsistencies challenge clear, accurate communication in medicine and science, create confusion and misconceptions among clinicians, patients and others, and hinder the advancement of related knowledge. LEVEL OF EVIDENCE: 4.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".