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Record W4300716391 · doi:10.1186/s40814-022-01182-1

The reporting of pilot and feasibility studies in the top dental specialty journals is suboptimal

2022· article· en· W4300716391 on OpenAlexaff
Mohammed Khan, Hartirath K. Brar, Cynthia Y. Sun, Rebecca He, Hussein El‐Khechen, Katie Mellor, Lehana Thabane, Carlos Alberto Montenegro-Quiñonez

Bibliographic record

VenuePilot and Feasibility Studies · 2022
Typearticle
Languageen
FieldDecision Sciences
TopicMeta-analysis and systematic reviews
Canadian institutionsImpactMcMaster UniversityUniversity of TorontoSt. Joseph’s Healthcare HamiltonToronto Public Health
Fundersnot available
KeywordsGeneralizability theoryConsolidated Standards of Reporting TrialsMEDLINEMedicineSpecialtyFamily medicineRandomized controlled trialClinical trialAlternative medicineMedical physicsMedical educationPsychologyPolitical scienceSurgeryInternal medicine

Abstract

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BACKGROUND: Pilot and feasibility studies (PAFS) are smaller investigations seeking to assess the feasibility of conducting a larger more definitive study. In late 2016, the CONSORT statement was extended to disseminate good practices for reporting of randomized pilot and feasibility trials. In this quality assurance review, we assessed whether PAFS in the top dental speciality journals adhere to good practices of conduct and reporting, by prioritizing assessment of feasibility and stating pre-defined progression criteria to inform the decision to pursue funding for a larger trial. METHODS: With the help of a librarian, we searched MEDLINE and EMBASE from 2017 to 2020, inclusive, for PAFS in the top 3 journals from each of the 10 dental specialties. We collected data on methodological and general characteristics of the studies, their objectives, and reporting of items recommended in the CONSORT extension. RESULTS: Of the 111 trials included, 51.4% (95% CI 41.7-61.0%) stated some indication of intent to assess feasibility while zero reported progression criteria; 74.8% (95% CI 65.6-82.5%) of trials used the terms "pilot" or "feasibility" in their titles and 82.9% (95% CI 74.6-89.4%) of studies stated there is a need for a future trial, but only 9.0% (95% CI 4.4-15.9%) stated intent to proceed to one. Most of the studies, 53.2% (95% CI 43.4-62.7%), reported hypothesis testing without cautioning readers on the generalizability of the results. Studies that used the terms "pilot" or "feasibility" in their title were less likely to have feasibility objectives, compared to trials that did not, with an odds ratio (OR) of 0.310 (95% CI 0.103-0.930; p = 0.037). Compared to trials that did not conduct hypothesis testing, trials that conducted hypothesis testing were significantly less likely to assess feasibility, among them, trials that cautioned readers on the generalizability of their results had an OR of 0.038 (95% CI 0.005-0.264; p < 0.001) and trials that did not caution readers on the generalizability of their results had an OR of 0.043 (95% CI 0.008-0.238; p = 0.001). CONCLUSION: Many PAFS in dentistry are not conducted with the intent of assessing feasibility, nor do they state progression criteria, and few report intent to proceed to a future trial. Misconceptions about PAFS can lead to them being poorly conducted and reported, which has economic and ethical implications. Research ethics boards, funding agencies, and journals need to raise their standards for the conduct and reporting of PAFS, and resources should be developed to address misconceptions and help guide researchers on the best practices for their conduct and reporting.

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 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)0.776
metaresearch head score (Gemma)0.917
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Reporting · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.224
Threshold uncertainty score0.276

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.7760.917
Meta-epidemiology (narrow)0.0020.005
Meta-epidemiology (broad)0.0080.007
Bibliometrics0.0290.029
Science and technology studies0.0050.013
Scholarly communication0.0190.018
Open science0.0060.010
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0080.004

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 head0.925
GPT teacher head0.616
Teacher spread0.309 · 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

Machine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designObservational
DomainReporting
GenreEmpirical

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
Published2022
Admission routes1
Has abstractyes

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