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Record W4389504904 · doi:10.1080/10669817.2023.2269038

Psychometric properties of clinician-reported and performance-based outcomes cited in a scoping review on spinal manipulation and mobilization for pediatric populations with diverse medical conditions: a systematic review

2023· review· en· W4389504904 on OpenAlexaffabout
Tricia Hayton, Anita Gross, Annalie Basson, Ken E. Olson, Oliver Ang, Nikki Milne, Jan Pool

Bibliographic record

VenueJournal of Manual & Manipulative Therapy · 2023
Typereview
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineGrading (engineering)Rating scaleData extractionPhysical therapySystematic reviewSpinal manipulationMEDLINEPhysical medicine and rehabilitationFamily medicineAlternative medicinePsychologyLow back painPathology

Abstract

fetched live from OpenAlex

Introduction Risks and benefits of spinal manipulations and mobilization in pediatric populations are a concern to the public, policymakers, and international physiotherapy governing organizations. Clinical Outcome Assessments (COA) used in the literature on these topics are contentious. The aim of this systematic review was to establish the quality of clinician-reported and performance-based COAs identified by a scoping review on spinal manipulation and mobilization for pediatric populations across diverse medical conditions.Method and analysis Electronic databases, clinicaltrials.gov and Ebsco Open Dissertations were searched up to 21 October 2022. Qualitative synthesis was performed using Consensus-based Standards for the Selection of Health Measurement Instruments (COSMIN) guidelines to select studies, perform data extraction, and assess risk of bias. Data synthesis used Grading of Recommendations, Assessment, Development and Evaluations (GRADE) to determine the certainty of the evidence and overall rating: sufficient (+), insufficient (-), inconsistent (±), or indeterminate (?).Results Four of 17 identified COAs (77 studies, 9653 participants) with supporting psychometric research were classified as:Performance-based outcome measures: AIMS – Alberta Infant Motor Scale (n = 51); or:Clinician-reported outcome measures: LATCH – Latch, Audible swallowing, Type of nipple, Comfort, Hold (n = 10),Cobb Angle (n = 15),Postural Assessment (n = 1).AIMS had an overall sufficient (+) rating with high certainty evidence, and LATCH had an overall sufficient (+) rating with moderate certainty of evidence. For the Cobb Angle and Postural Assessment, the overall rating was indeterminate (?) with low or very low certainty of evidence, respectively.Conclusion The AIMS and LATCH had sufficient evidence to evaluate the efficacy of spinal manipulation and mobilization for certain pediatric medical conditions. Further validation studies are needed for other COAs.

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)0.092
metaresearch head score (Gemma)0.370
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.908
Threshold uncertainty score0.488

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0920.370
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0110.013
Bibliometrics0.0270.026
Science and technology studies0.0010.003
Scholarly communication0.0060.005
Open science0.0030.003
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.337
GPT teacher head0.474
Teacher spread0.137 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designSystematic review
DomainMethods
GenreReview

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

Citations7
Published2023
Admission routes2
Has abstractyes

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