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Record W2332401181 · doi:10.1097/brs.0b013e3182a7eaaf

Anterior Versus Posterior Approach for Treatment of Cervical Spondylotic Myelopathy

2013· review· es· W2332401181 on OpenAlexaff
Brandon D. Lawrence, W. Bradley Jacobs, Daniel C. Norvell, Jeffrey T. Hermsmeyer, Jens R. Chapman, Darrel S. Brodke

Bibliographic record

VenueSpine · 2013
Typereview
Languagees
FieldMedicine
TopicCervical and Thoracic Myelopathy
Canadian institutionsUniversity of CalgaryFoothills Medical Centre
Fundersnot available
KeywordsMedicineSurgeryEvidence-based medicineRetrospective cohort studyMeta-analysisSystematic reviewSpinal cord injuryCohort studyPhysical therapyMEDLINESpinal cordInternal medicine

Abstract

fetched live from OpenAlex

STUDY DESIGN: Systematic review. OBJECTIVE: We performed a systematic review to determine the comparative effectiveness and safety profiles of anterior versus posterior decompression procedures for multilevel cervical spondylotic myelopathy (CSM). SUMMARY OF BACKGROUND DATA: CSM is a common cause of neurological dysfunction. It is well established that surgical decompression of the cervical spinal cord is an effective treatment option for CSM. Because of the lack of well-designed prospective studies, there remains a lack of consensus whether multilevel spondylotic compression is best treated via an anterior or posterior surgical route and whether one of these surgical approaches is superior in terms of patient outcomes and/or complication profiles. METHODS: We conducted a systematic search for literature published through September 2012. We sought to identify comparative studies (e.g., randomized controlled trials, cohort studies) comparing anterior with posterior procedures in patients with 2-level or greater cord compression resulting in CSM. Standardized mean differences were calculated to allow comparisons of the change (i.e., improvement or decline) in scores between anterior and posterior surgical procedures by study. Clinical recommendations were made through a modified Delphi approach by applying the GRADE (Grading of Recommendation Assessment, Development and Evaluation)/AHRQ (Agency for Healthcare Research and Quality) criteria. RESULTS: We identified 8 level III retrospective cohort studies that met the inclusion criteria from a total of 135 possible studies for review. With regard to effectiveness between the 2 approaches, improvements in JOA (Japanese Orthopaedic Association) scores were similar, whereas canal diameter change was larger after posterior surgery. With regard to safety, postoperative C5 palsy rates were similar, infection rates were lower with anterior surgery, and dysphagia rates were lower with posterior surgery. CONCLUSION: This systematic review demonstrates that, for both effectiveness and safety, there is no clear advantage to either an anterior surgical approach or a posterior surgical approach when treating patients with multilevel CSM. With that, a surgical strategy developed on a patient-to-patient basis should be used to achieve optimal patient outcomes. In addition, development of a consensus for standardized reporting of outcome measures and complication profiles would facilitate improved comparisons across differing treatment centers and surgical techniques. EVIDENCE-BASED CLINICAL RECOMMENDATIONS: RECOMMENDATION: We recommend an individualized approach when treating patients with CSM accounting for pathoanatomical variations (ventral vs. dorsal, focal vs. diffuse, sagittal, dynamic instability) because there are similar outcomes between the anterior and posterior approaches with regard to effectiveness and safety. OVERALL STRENGTH OF EVIDENCE: Low. STRENGTH OF RECOMMENDATION: Strong.

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)0.008
metaresearch head score (Gemma)0.029
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.009
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.029
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0090.007
Bibliometrics0.0070.007
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.069
GPT teacher head0.352
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 designNot applicable
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

Citations157
Published2013
Admission routes1
Has abstractyes

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