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Record W4220785887 · doi:10.1016/j.spinee.2022.02.013

Cost-effectiveness studies of vertebral augmentation for osteoporotic vertebral fractures: a systematic review

2022· review· en· W4220785887 on OpenAlexaff
Gaylene Pron, Matthew Hwang, Roger P. Smith, Angela Cheung, Kieran Murphy

Bibliographic record

VenueThe Spine Journal · 2022
Typereview
Languageen
FieldMedicine
TopicSpinal Fractures and Fixation Techniques
Canadian institutionsToronto Western HospitalUniversity Health NetworkUniversity of Toronto
Fundersnot available
KeywordsMedicineCost effectivenessSystematic reviewEconomic evaluationPopulationActivity-based costingIntensive care medicineHealth careRandomized controlled trialPhysical therapyMEDLINESurgeryRisk analysis (engineering)Environmental health

Abstract

fetched live from OpenAlex

BACKGROUND CONTEXT: Osteoporotic vertebral fractures (OVF) dramatically increase with age and are serious life altering adverse events for seniors resulting in increased rates of institutionalization, morbidity and mortality. Given the expanding population of the elderly and increasing prevalence of OVFs, cost-effective treatment strategies need to be considered. Percutaneous vertebral augmentation (VA) procedures such as vertebroplasty (VP) or balloon kyphoplasty (BK) are increasingly employed to treat painful vertebral fractures not responding to conservative management (CM) of bedrest and analgesia. Both VA procedures have been shown to be effective treatments for OVFs in multiple systematic reviews of randomized controlled trials. In this systematic review, analytical strategies, designs and results were compared for health economic studies evaluating cost-effectiveness of VA procedures, VP or BK for OVFs. Furthermore, assessments of quality (risk of bias) were conducted for the systematic review and the individual studies with peer-reviewed checklists recommended for cost-effectiveness studies. PURPOSE: To provide an up-to-date systematic review of peer-reviewed studies evaluating cost-effectiveness of VA procedures, VP or KP for OVFs to support treatment and health care funding decisions. STUDY DESIGN: This study is a systematic literature review and structured narrative synthesis. STUDY SAMPLE: Peer reviewed health economic studies reporting cost-effectiveness for VA procedures, VP or BK for OVFs OUTCOME MEASURES: The following information extracted from the studies included: report country and year, study design, comparators, population, perspective, health valuations, costing sources and cost-effectiveness measures. For economic studies involving modeling, information was also extracted for model type, time horizon, key model drivers, and handling of uncertainty. Incremental cost-effectiveness ratio (ICER), the ratio of differences between comparator treatment groups in costs and health benefits, was considered the main cost-effectiveness measure. METHODS: A systematic review was conducted of MEDLINE, EMBASE, CINAHL, ECONLIT, Cochrane Library and DARE databases up to the review date May 2021. Studies were reviewed for those reporting cost-effectiveness analyses on VA procedures including VP or BK for OVFs. Studies including only costs, abstracts, editorials, methodologies and reviews were not included. The selection of articles was reported in line with PRISMA guidance. A descriptive framework was developed to classify types of cost-effectiveness studies based on methodological differences and a structured narrative synthesis was used to summarize studies. Quality assessments were made with British Medical Journal checklist for individual cost-effectiveness studies and the CiCERO checklist for systematic reviews of cost-effectiveness studies. RESULTS: In this systematic review, 520 references were identified through database searching and 501 were excluded as ineligible by titles and abstract based on prior eligibility criteria. From full-text reviews of 19 reports, ten were identified as eligible for the systematic review evaluating cost-effectiveness of VA procedures for OVFs. All references were published between 2008 and 2020. The ten cost-effectiveness studies, three for VP, three for BK and four for both VP and BK, all involved CM for OVFs as a treatment comparator. The studies involved different methods of economic analysis, modeling assumptions, cost and health valuations conducted in different health care setting over different time periods. A framework for the review outlines key features of cost-effectiveness study designs consisting of unmatched, matched, or randomized controls involving cost-effectiveness or cost-utility) analyses. Both VP and BK were cost-effective alternatives to CM for OVFs with earlier health gains and significantly shorter hospital stays. Cost-effectiveness estimates, ICERs, remained relatively stable and within willingness-to-pay thresholds under a range of sensitivity analyses. Comparisons between VP and BK were variable depending on modeling assumptions, but generally the procedures had similar health benefit gains with VP having lower acute procedural costs. CONCLUSIONS: Both VP and BK, have been shown to be cost-effective alternatives to CM for osteoporotic vertebral fractures in diverse cost-effectiveness studies conducted in multiple health care settings. Trial-based cost-utility contributed the strongest evidence supporting cost-effectiveness determination for VP and BK for OVFs.

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)0.005
metaresearch head score (Gemma)0.023
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.010
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.023
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0100.012
Bibliometrics0.0050.006
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.223
GPT teacher head0.506
Teacher spread0.283 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
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

Citations31
Published2022
Admission routes1
Has abstractno

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