Estimates of Quality and Reliability With the Physiotherapy Evidence-Based Database Scale to Assess the Methodology of Randomized Controlled Trials of Pharmacological and Nonpharmacological Interventions
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: Systematic reviews and meta-analyses often include an evaluation of the methodological quality of the individual studies that have been included, and are usually conducted by at least 2 individuals. The objective of this study was to assess the methodological quality and reliability of a series of randomized controlled trials (RCTs) of both pharmacological and nonpharmacological interventions by use of the 10-item Physiotherapy Evidence-Based Database (PEDro) Scale. METHODS: Two abstractors independently reviewed 81 RCTs assessing a variety of interventions. The Cohen kappa statistic and the intraclass correlation coefficient (ICC) were used to assess agreement between abstractors. RESULTS: The average total PEDro scores were 5.94 (SD=1.43) for all studies combined, 6.88 (SD=1.2) for pharmacological studies, and 5.29 (SD=1.26) for nonpharmacological studies. The median score for pharmacological studies was significantly higher than that for nonpharmacological studies (7 versus 5). Pair-wise kappa scores ranged from a low of .452 for concealed allocation among drug trials to perfect agreement (1.00) for randomization and reporting of results from between-group comparisons. The ICCs associated with the cumulative PEDro score were .91 (95% confidence interval [CI]=.83-.94) for all studies, .89 (95% CI=.78-.95) for pharmacological studies, and .91 (95% CI=.84-.952) for nonpharmacological studies. DISCUSSION AND CONCLUSION: The methodological quality for pharmacological interventions was significantly higher than that for nonpharmacological interventions. There was good agreement between raters at an individual item level and in total PEDro scores. A lack of reporting clarity, poor organization of the report, or the failure to include salient details contributed to less-than-perfect agreement between raters.
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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 | 0.542 | 0.748 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.009 | 0.020 |
| Bibliometrics | 0.027 | 0.019 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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; the direct Gemma label and the distilled Codex classifier 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".