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Record W4280587822 · doi:10.1136/bmjopen-2022-061475

How is recovery defined and measured in patients with low back pain? Protocol for a mixed study systematic review

2022· article· en· W4280587822 on OpenAlexaff
Michael J. Lukacs, Katie Kowalski, Nicole Peters, Meagan Stanley, Alison Rushton

Bibliographic record

VenueBMJ Open · 2022
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsWestern University
Fundersnot available
KeywordsMedicineCINAHLProtocol (science)MEDLINESystematic reviewThematic analysisQualitative researchCritical appraisalPopulationLow back painAlternative medicinePhysical therapyNursingPathologyPsychological intervention

Abstract

fetched live from OpenAlex

INTRODUCTION: This protocol describes the methods for a mixed study systematic review aiming to explore the definitions and measurements of recovery in patients with low back pain, and how perspectives of recovery differ between patients and providers. This review will be the first to review the concept of recovery in patients with low back pain across both quantitative and qualitative literature. METHODS AND ANALYSIS: This protocol has been designed and reported in line with Preferred Reporting Items of Systematic Reviews and Meta-Analyses Protocols. The following databases will be electronically searched from database inception until 30 November 2021: Medline, EMBASE, CINAHL, Cochrane, PEDro. Grey literature will be searched for through targeted searching of ProQuest Dissertations and Theses and handsearching of the references of all included studies. Studies will be included if they include a patient population of >50% with low back pain (with or without leg pain), and mention the concept of recovery within the abstract, methods or results. The Mixed Methods Appraisal Tool will be used for quality assessment of both quantitative and qualitative included studies. Two independent reviewers will conduct the search, screen titles/abstracts and extract relevant data from full texts. Discrepancies between reviewers will be settled by a third reviewer with spinal pain expertise. For syntheses, thematic analysis will be used to analyse both qualitative and quantitative investigations to explore meanings, measurement and perspectives of recovery from a diverse evidence base. There is no clinical trial associated with this protocol. ETHICS AND DISSEMINATION: There are no ethical issues associated with this systematic review, and ethics approval was not required. Once completed, the results of this review will be published in a peer-reviewed journal within the realm of spinal pain to help guide future research inquiries. PROSPERO REGISTRATION NUMBER: CRD42022295804.

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)0.233
metaresearch head score (Gemma)0.303
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.767
Threshold uncertainty score0.946

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.2330.303
Meta-epidemiology (narrow)0.0090.010
Meta-epidemiology (broad)0.0200.023
Bibliometrics0.0180.019
Science and technology studies0.0060.010
Scholarly communication0.0130.012
Open science0.0070.007
Research integrity0.0150.014
Insufficient payload (model declined to judge)0.0830.018

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 head0.045
GPT teacher head0.359
Teacher spread0.313 · 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 designSystematic review
DomainMethods
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

Citations1
Published2022
Admission routes1
Has abstractyes

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