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Record W2562693953 · doi:10.1055/s-0036-1582910

Methylprednisolone for the Treatment of Patients with Acute Spinal Cord Injuries: A Systematic Review and Meta-analysis

2016· review· en· W2562693953 on OpenAlexaff
Nathan Evaniew, Emilie P. Belley‐Côté, Nader Fallah, Vanessa K. Noonan, Carly S. Rivers, Marcel F. Dvorak

Bibliographic record

VenueGlobal Spine Journal · 2016
Typereview
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsUniversity of British ColumbiaPraxis Spinal Cord InstituteMcMaster University
Fundersnot available
KeywordsMedicineObservational studyRandomized controlled trialMeta-analysisCochrane LibraryConfidence intervalMethylprednisoloneRelative riskAdverse effectSubgroup analysisStrictly standardized mean differencePhysical therapySystematic reviewMEDLINEInternal medicine

Abstract

fetched live from OpenAlex

Introduction Previous meta-analyses of methylprednisolone for patients with acute traumatic spinal cord injuries (TSCIs) have not addressed confidence in pooled effect estimates and new primary studies have been recently published. We performed a systematic review and meta-analysis to determine whether methylprednisolone improves motor recovery and is associated with increased risks for adverse events. Material and Methods We searched MEDLINE, EMBASE, and The Cochrane Library for eligible randomized controlled trials (RCTs) and controlled observational studies. Two reviewers independently screened articles, extracted data, and evaluated risk of bias. We pooled outcomes from RCTs and controlled observational studies separately using random effects models. We quantified heterogeneity using the chi-squared test and the I-squared statistic, and we pre-specified subgroup hypotheses to explain potential high heterogeneity. We used the Grades of Recommendation, Assessment, Development, and Evaluation (GRADE) approach to evaluate confidence. Results We included four RCTs and 17 observational studies. Methylprednisolone did not increase long-term motor score recovery (two RCTs: 335 participants, mean difference [MD] -1.11, 95% CI -4.75 to 2.53, p = 0.55, low certainty; two observational studies: 528 participants, MD 1.37, 95% CI -3.08 to 5.83, p = 0.55, very low certainty) or improvement by at least one motor grade (three observational studies: 383 participants, risk ratio [RR] 0.84, 95% CI 0.53 to 1.33, p = 0.46, very low certainty). Evidence from two RCTs demonstrated superior short-term motor score improvement if methylprednisolone was administered within eight hours of injury (two RCTs: 250 participants; MD 4.46, 95% CI 0.97 to 7.94, p = 0.01; low certainty), but risk of bias and imprecision limit confidence in these findings. Observational studies demonstrated a significantly increased risk for gastrointestinal bleeding (eight studies: 2727 participants, RR 2.53; 95% CI 1.48 to 4.32; p < 0.01, very low certainty), but RCTs did not. Risks for other adverse events were not significantly increased. Conclusion Methylprednisolone does not provide significant long-term benefit to patients with acute TSCIs and may be associated with increased gastrointestinal bleeding. These findings support current guidelines against routine use, but strong recommendations are not warranted because confidence in the effect estimates is limited. This meta-analysis advances current understanding because it includes recent studies not pooled previously and it is the first to consider confidence in the pooled effect estimates. Further research could increase confidence and clarify the influence of potential confounders or effect modifiers.

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)0.020
metaresearch head score (Gemma)0.045
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 score0.022
Threshold uncertainty score0.107

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.045
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0220.042
Bibliometrics0.0080.007
Science and technology studies0.0010.001
Scholarly communication0.0040.002
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 head0.116
GPT teacher head0.468
Teacher spread0.352 · 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

Citations12
Published2016
Admission routes1
Has abstractyes

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