Dropout associated with osteopathic manual treatment for chronic noncancerous pain in randomized controlled trials
Bibliographic record
Abstract
CONTEXT: Reviews exploring harm outcomes such as adverse effects (AE), all cause dropouts (ACD), dropouts due to inefficacy, and dropouts due to AE associated with osteopathic manipulative treatment (OMT) or osteopathic manual therapy (OMTh) are scant. OBJECTIVES: To explore the overall AE, ACD, dropouts due to inefficacy, and AE in chronic noncancerous pain (CNCP) patients receiving OMTh through a systematic review of previous literature. METHODS: For this systematic review and meta-analysis, the authors searched MEDLINE, Embase, Cochrane Central Register of Controlled Trials (CENTRAL), Physiotherapy Evidence Database (PEDro), EMCare, and Allied and Complementary Medicine Database (AMED), and Ostmed.Dr, as well as the bibliographical references of previous systematic reviews evaluating OMTh for pain severity, disability, quality of life, and return to work outcomes. Randomized controlled trials with CNCP patients 18 years or older with OMTh as an active or combination intervention and the presence of a control or combination group were eligible for inclusion. In this sub-study of a previous, larger systematic review, 11 studies (n=1,015) reported data that allowed the authors to perform meta-analyses on ACD and dropouts due to AE. The risk of bias (ROB) was assessed with the Cochrane ROB tool and the quality of evidence was determined with the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach. RESULTS: =0%). Single study analysis showed that OMTh results were nonsignificant in comparison with chemonucleolysis, gabapentin, and exercise. OMTh in combination with gabapentin (vs. gabapentin alone) and OMTh in combination with exercise (vs. exercise alone) showed nonsignificant ACD. Dropouts due to AE were not significantly different, but the results could not be pooled due to an insufficient number of studies. CONCLUSIONS: Most articles did not explicitly report AEs, ACD rates, or dropouts due to AEs and inefficacy. The limited data available on dropouts showed that OMTh was well tolerated compared with control interventions, and that the ACD and dropouts due to AEs were not significantly different than comparators. Future trials should focus on explicit reporting of dropouts along with beneficial outcomes to provide a better understanding of OMTh efficacy.
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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 | 0.185 | 0.400 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.015 | 0.025 |
| Bibliometrics | 0.009 | 0.010 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
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".