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Record W2753375198 · doi:10.1007/s11999-017-5482-7

Moving Forward Through Consensus: A Modified Delphi Approach to Determine the Top Research Priorities in Orthopaedic Oncology

2017· article· en· W2753375198 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueClinical Orthopaedics and Related Research · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicDelphi Technique in Research
Canadian institutionsHamilton Health SciencesJuravinski Cancer CentreMcMaster UniversityImpact
FundersMcMaster UniversityGeorgetown University
KeywordsMedicineLikert scaleDelphi methodDelphiStakeholderFamily medicineMedical educationSpecialtyPublic relationsPsychology

Abstract

fetched live from OpenAlex

BACKGROUND: Several challenges presently impede the conduct of prospective clinical studies in orthopaedic oncology, including limited financial resources to support their associated costs and inadequate patient volume at most single institutions. This study was conducted to prioritize research questions within the field so that the Musculoskeletal Tumor Society (MSTS), and other relevant professional societies, can direct the limited human and fiscal resources available to address the priorities that the stakeholders involved believe will have the most meaningful impact on orthopaedic oncology patient care. QUESTIONS/PURPOSES: The purpose of this study was to use a formal consensus-based approach involving clinician-scientists and other stakeholders to identify the top priority research questions for future international prospective clinical studies in orthopaedic oncology. METHODS: A three-step modified Delphi process involving multiple stakeholder groups (including orthopaedic oncologists, research personnel, funding agency representation, and patient representation) was conducted. First, we sent an electronic questionnaire to all participants to solicit clinically relevant research questions (61 participants; 54% of the original 114 individuals invited to participate returned the questionnaires). Then, participants rated the candidate research questions using a 5-point Likert scale for five criteria (60 participants; 53% of the original group participated in this portion of the process). Research questions that met a priori consensus thresholds progressed for consideration to an in-person consensus meeting, which was attended by 44 participants (39% of the original group; 12 countries were represented at this meeting). After the consensus panel's discussion, members individually assigned scores to each question using a 9-point Likert scale. Research questions that met preset criteria advanced to final ranking, and panel members individually ranked their top three priority research questions, resulting in a final overall ranking of research priorities. RESULTS: A total of 73 candidate research questions advanced to the consensus meeting. In the end, the consensus panel identified four research priorities: (1) Does less intensive surveillance of patients with sarcoma affect survival? (2) What are the survival outcomes over time for orthopaedic oncology implants? (3) Does resection versus stabilization improve oncologic and functional outcomes in oligometastatic bone disease? (4) What is the natural history of untreated fibromatosis? CONCLUSIONS: The results of this study will assist in developing a long-term research strategy for the MSTS and, possibly, the orthopaedic oncology field as a whole. Furthermore, the results of this study can assist researchers in guiding their research efforts and in providing a justified rationale to funding agencies when requesting the resources necessary to support future collaborative research studies that address the identified orthopaedic oncology priorities.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.099
metaresearch head score (Gemma)0.068
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesMetaresearch, Science and technology studies, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.581
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0990.068
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0060.014
Scholarly communication0.0010.000
Open science0.0030.003
Research integrity0.0010.007
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.492
GPT teacher head0.587
Teacher spread0.095 · 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