The Greater Value of the CONSORT Statement Guidelines: Guideposts for Designing and Reporting all TMB Research
Bibliographic record
Abstract
The IJTMB recommends the use of the CONSORT Statement (Consolidated Standards of Reporting Trials) guidelines for the reporting of randomized, controlled clinical trials (RCTs). A careful review of the guidelines shows important applications of these guidelines to all types of research reporting and design, not just RCTs. There is an Extension to these guidelines specific to nonpharmacologic interventions, including manually applied therapies and complementary medicine, and thus therapeutic massage and bodywork (TMB). Components of the Extension are thus relevant to publication in the IJTMB and should be considered part of standard reporting. As well, while the goals of the CONSORT Statement guidelines are to improve reporting of RCTs, the issues raised in the guidelines and explanatory document are relevant to all forms of TMB research and should be considered in all TMB research manuscripts. Finally, while not their purpose, the guidelines could also be used as an informal checklist when developing robust TMB research.
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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 | 0.572 | 0.828 |
| Meta-epidemiology (narrow) | 0.004 | 0.007 |
| Meta-epidemiology (broad) | 0.008 | 0.009 |
| Bibliometrics | 0.021 | 0.027 |
| Science and technology studies | 0.005 | 0.016 |
| Scholarly communication | 0.017 | 0.015 |
| Open science | 0.009 | 0.008 |
| Research integrity | 0.026 | 0.061 |
| Insufficient payload (model declined to judge) | 0.015 | 0.020 |
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".