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Record W4404844965 · doi:10.3171/2024.7.spine24518

Perioperative outcomes after minimally invasive and open surgery for treatment of spine metastases: a systematic review and meta-analysis

2024· review· en· W4404844965 on OpenAlexaff
Husain Shakil, Armaan K. Malhotra, Alexander Kiss, Christopher D. Witiw, Donald A. Redelmeier, Jefferson R. Wilson

Bibliographic record

VenueJournal of Neurosurgery Spine · 2024
Typereview
Languageen
FieldMedicine
TopicManagement of metastatic bone disease
Canadian institutionsHealth Sciences CentreSunnybrook Health Science CentreUniversity of Toronto
Fundersnot available
KeywordsMedicinePerioperativeMeta-analysisOdds ratioGrading (engineering)SurgeryVisual analogue scaleRadiation therapyInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: This systematic review and meta-analysis compared minimally invasive surgery (MIS) to open surgery for treatment of spinal metastases with respect to perioperative outcomes. Few studies have systemically assessed the body of evidence on this topic. METHODS: A systematic review of EMBASE and PubMed from database inception to December 2023 was performed to identify studies comparing MIS with open surgery for the treatment of spine metastases. Nine outcomes were collected: estimated blood loss (EBL), operative time, hospital length of stay (LOS), risk of revision, risk of neurological deterioration, likelihood of receiving postoperative radiation therapy, time to radiation therapy, time to chemotherapy, and treatment of pain measured through patient-reported visual analog scale (VAS) scores. Meta regression was used to estimate adjusted mean differences (aMDs) and adjusted odds ratios (aORs) for outcomes. Certainty of evidence was appraised using the Grading of Recommendations, Assessment, Development and Evaluations approach. RESULTS: There were 34 eligible studies including 1656 patients with spinal metastases; 904 (54.6%) patients were treated with MIS and 752 (45.4%) were treated with open surgery. MIS was associated with significantly less blood loss (aMD -602 mL, 95% CI -1204 to -0.2 mL; I2 = 97%) with a moderate certainty of evidence. MIS was found to be noninferior with respect to operative time (aMD -2.6 minutes, 95% CI -53.3 to 48.1 minutes; I2 = 88%), risk of revision (aOR 0.9, 95% CI 0.8-1.1; I2 < 0.01), risk of neurological deterioration (aOR 0.9, 95% CI 0.8-1.0; I2 < 0.01), likelihood of postoperative radiation therapy (aOR 0.9, 95% CI 0.7-1.4; I2 < 0.01), and postoperative VAS score (aMD -0.6, 95% CI -1.5 to 0.4; I2 = 52%) with low certainty of evidence. MIS was associated with significantly shorter time to chemotherapy (MD -0.9 weeks, 95% CI -1.9 to -0.01 weeks; I2 = 22%), with very low certainty of evidence. Inferences for LOS and time to radiation were indeterminate; however, we found a trend toward earlier radiation therapy with MIS that was significant in the subgroup of patients treated with decompression and fusion. CONCLUSIONS: Treatment with MIS compared with open surgery was associated with reduced EBL, shorter time to chemotherapy, similar operative time, and similar reductions in postoperative pain. Limitations were largely due to heterogeneity across studies. Future research among subgroups is very likely to improve certainty in the comparative effect estimates.

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)0.014
metaresearch head score (Gemma)0.038
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.018
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.038
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0180.042
Bibliometrics0.0060.006
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0020.002
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 head0.157
GPT teacher head0.409
Teacher spread0.252 · 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 designMeta-analysis
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

Citations4
Published2024
Admission routes1
Has abstractyes

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