A Critical Appraisal of Review Articles on the Effectiveness of Conservative Treatment for Neck Pain
Bibliographic record
Abstract
STUDY DESIGN: A criteria-based appraisal of review articles on neck pain. OBJECTIVES: To assess the methodologic quality, conclusions, and extent of concordance among reviews on the conservative treatment of neck disorders. SUMMARY OF BACKGROUND DATA: During the past decades there has been an increasing interest in summarizing and analyzing the available evidence on the effectiveness of conservative management of neck pain. Considering the growing number and quality of reviews, consumers may question which reviews to read and believe. METHODS: Computerized bibliographic databases were searched without language restriction. The reviews assessed had been published before January 1998, included neck pain and evaluated conservative therapies, and reported at least one controlled clinical trial. Identification, selection, and quality assessment were performed independently by two investigators. RESULTS: Of the 108 identified articles, 25 review articles were selected, of which 12 were systematic reviews. The reviews differed in their reporting of study population, interventions, and outcomes. Statistical pooling was performed in two high-quality systematic reviews, whereas in other reviews, the investigators explicitly decided not to pool data. The results of the current study show that the concordance among reviews varied. Regarding manipulation and traction, there is inconclusive evidence among reviews. Concordance regarding the effectiveness of other conservative interventions was absent. Many of the reviews displayed major methodologic flaws. CONCLUSIONS: Consumers should consider reports of reviews both carefully and critically, given the wide variety of review methodology, descriptive information, and final conclusions. There is a paucity of evidence from primary studies on neck pain. Therefore, more research is needed to allow systematic reviews to formulate stronger conclusions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.150 | 0.462 |
| Meta-epidemiology (narrow) | 0.006 | 0.004 |
| Meta-epidemiology (broad) | 0.024 | 0.018 |
| Bibliometrics | 0.042 | 0.024 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.006 | 0.004 |
| Research integrity | 0.006 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".