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Record W4237594265 · doi:10.21203/rs.3.rs-40437/v1

A Standard Set of Outcome Measures for the Comprehensive Assessment of Osteogenesis Imperfecta.

2020· preprint· en· W4237594265 on OpenAlexaff
Wouter H. Nijhuis, Anton Franken, Kara Ayers, Chantal Damas, Lars Folkestad, Antonella Forlino, Paolo Fraschini, Claire Hill, Guus Janus, Richard W. Kruse, Lena Lande Wekre, Lieve Michiels, Kathleen Montpetit, Leonardo Panzeri, Valérie Porquet‐Bordes, Frank Rauch, Ralph J. B. Sakkers, Jean‐Pierre Salles, Oliver Semler, Jony Sun, Michael To, Laura L. Tosi, Yangyang Yao, Eric Yeung, Lidiia Zhytnik, Carola Zillikens, M. Verhoef

Bibliographic record

VenueResearch Square · 2020
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicConnective tissue disorders research
Canadian institutionsShriners Hospitals for Children - Canada
Fundersnot available
KeywordsOsteogenesis imperfectaDelphi methodInternational Classification of Functioning, Disability and HealthDelphiFocus groupPsychological interventionSet (abstract data type)MedicineOutcome (game theory)MEDLINEPsychologyPhysical therapyComputer scienceNursingRehabilitationArtificial intelligenceMathematicsPathologyPolitical science

Abstract

fetched live from OpenAlex

Abstract Background: Osteogenesis Imperfecta (OI) is a genetic disorder of collagen type I, also known as ‘brittle bone disease’. The clinical manifestation of OI shows a wide variation. Therefore, care for patients with OI requires an interdisciplinary approach. The effectiveness of particular interventions and treatment protocols of interdisciplinary teams is not clear due to a non-standardized and wide variation of patient outcomes making comparison of outcomes available in the literature difficult. It is only by agreeing on a common, standard set of outcome measures for the comprehensive appraisal of OI that comparisons across interdisciplinary treatment centers for OI will be possible in the future. Methods: The Key4OI international interdisciplinary working group of 27 members used a consensus-driven modified Delphi approach to develop a set of global outcome measures for patients with OI. This consensus method was based on data derived from the OI community and used focus groups, expert opinions and a literature search to determine the domains that matter most to people with OI. The International Classification of Functioning, Disability and Health (ICF), was used to define domains and organize the outcomes from the literature search. 16 focus groups (9 with adult and 7 with children) as well as multiple discussions and further Delphi rounds with the Key4OI working group were held to reach a consensus on a minimal set of outcomes and measuring instruments. Results: More than 400 different outcome measures were identified in our literature search. After three Delphi rounds, 24 domains were selected. After the focus group sessions, the number of domains were reduced to 15. A consensus was reached on the measuring instruments to cover these domains for both children and adults. Conclusion: The Key4OI project resulted in standard set of outcome measures focused on the needs and wishes of individuals with OI and their families. This outcome set will enable healthcare teams and systems to compare and to improve their care pathways and quality of care worldwide. Further studies are needed to evaluate the implementation of this standardized outcome set.

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 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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.169
Threshold uncertainty score0.847

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0000.001
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 head0.175
GPT teacher head0.492
Teacher spread0.317 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
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

Citations1
Published2020
Admission routes1
Has abstractyes

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