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Record W2945914441 · doi:10.1136/bmjopen-2017-020580

A methodological survey on reporting of pilot and feasibility trials for physiotherapy interventions: a study protocol

2019· article· en· W2945914441 on OpenAlexaff
Luiz Felicio Cadete Scola, Anne M. Moseley, Lehana Thabane, Matheus Oliveira de Almeida

Bibliographic record

VenueBMJ Open · 2019
Typearticle
Languageen
FieldDecision Sciences
TopicMeta-analysis and systematic reviews
Canadian institutionsMcMaster UniversityImpact
FundersCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorFundação de Amparo à Pesquisa do Estado de São Paulo
KeywordsMedicineConsolidated Standards of Reporting TrialsClinical trialProtocol (science)Physical therapyPilot trialResearch designMedical physicsPsychological interventionAlternative medicineRandomized controlled trialSurgeryNursingStatistics

Abstract

fetched live from OpenAlex

INTRODUCTION: Pilot and feasibility trials aim to test whether a full trial can be conducted or if any procedures must be changed for the full trial. Pilot trials must be reported in a transparent, accurate and complete way. In this report, we present a protocol for a methodological survey with the following aims: (1) to determine the percentage of physiotherapy trial reports which claim to be pilot or feasibility trials that evaluate feasibility, (2) to determine the aspect of feasibility evaluated in the primary objectives of the pilot or feasibility trials, (3) to describe the completeness of reporting of abstracts and full articles of pilot or feasibility trials using the Consolidated Standards of Reporting Trials (CONSORT) extension to randomised pilot and feasibility trials and (4) to investigate factors associated with completeness of reporting of pilot or feasibility trials. METHODS AND ANALYSIS: Reports of randomised controlled trials indexed in the Physiotherapy Evidence Database (PEDro) that claim to be pilot or feasibility trials and published in 2011-2017 will be included. Two independent reviewers will confirm eligibility and classify the aspect of feasibility being evaluated in the objectives of the included pilot or feasibility trials. Completeness of reporting of both the abstract and the full article will be evaluated using the CONSORT extension to randomised pilot and feasibility trials. The primary analysis will be a descriptive analysis about the reporting quality of abstracts and full texts of pilot and feasibility trials. We will use generalised estimating equation analysis to explore factors associated with completeness of reporting. ETHICS AND DISSEMINATION: The results of this study will be disseminated by presentation at conferences and will be submitted for publication in a peer-reviewed journal. Ethical approval is not necessary for this study.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmaMetaresearch
Domain: Reporting · Genre: Protocol
About the Canadian research system: no · About a Canadian topic: no
Observationalhigh
gptMetaresearch
Domain: Reporting · Genre: Protocol
About the Canadian research system: no · About a Canadian topic: no
Observationalhigh
models agreeAgreement compares identical category sets and study designs across arms.

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.627
metaresearch head score (Gemma)0.654
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Reporting · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.373
Threshold uncertainty score0.461

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.6270.654
Meta-epidemiology (narrow)0.0040.006
Meta-epidemiology (broad)0.0070.011
Bibliometrics0.0180.014
Science and technology studies0.0060.008
Scholarly communication0.0080.011
Open science0.0050.010
Research integrity0.0140.016
Insufficient payload (model declined to judge)0.0200.018

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.

Opus teacher head0.995
GPT teacher head0.815
Teacher spread0.179 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Labeled directly by 2 models reading the full record.

Study designObservational
DomainReporting
GenreProtocol

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".

Quick stats

Citations4
Published2019
Admission routes1
Has abstractyes

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