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Record W2256150842 · doi:10.3109/02688697.2016.1139052

Comparison of early and late decompressive craniectomy on the long-term outcome in patients with moderate and severe traumatic brain injury: a meta-analysis

2016· review· en· W2256150842 on OpenAlexaboutno aff
Kai Zhang, Wenjie Jiang, Tieliang Ma, Haorong Wu

Bibliographic record

VenueBritish Journal of Neurosurgery · 2016
Typereview
Languageen
FieldMedicine
TopicTraumatic Brain Injury and Neurovascular Disturbances
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineTraumatic brain injuryGlasgow Outcome ScaleDecompressive craniectomyMeta-analysisCochrane LibraryInternal medicineOdds ratioGlasgow Coma ScaleSurgeryPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Several studies have searched whether early decompressive craniectomy (DC) can improve the long-term outcome of patients with moderate and severe traumatic brain injury (TBI). However, the effects of early DC remain unclear. The purpose of this meta-analysis was to assess whether early DC (time to surgery after injury <24 h) is better than late DC (>24 h) after moderate and severe TBI. METHOD: Two reviewers independently searched Pubmed, Embase, ISI web of science, the Cochrane Library and Scopus databases from inception to 4 November 2014. Studies comparing the long-term outcome of patients following early and late DC after TBI were included. The long-term outcomes were evaluated by Glasgow Outcome Score, Extended Glasgow Outcome Score. Newcastle-Ottawa Scale was used to assess the methodological quality of included studies. Characteristics of the selected studies were extracted. Pooled results were presented by odds ratios (ORs) with 95% CIs. I(2) was used to test heterogeneity. Pearson correlation coefficient was used to detect the relationship between bilateral pupil abnormality and unfavourable outcome. RESULTS: Five articles were eligible for this meta-analysis. The pooled results of comparison of unfavourable outcome and mortality revealed no significant difference in the early and late groups (ORs: 1.469; 95% CIs: 0.495-4.362; p > 0.05; I(2 )=70.5% and ORs: 1.262; 95% CIs: 0.385-4.137; p > 0.05; I(2 )=77.6%, respectively). Pearson correlation coefficient indicated that bilateral pupil abnormality was positive related to the unfavourable outcomes and mortality (r = 0.833; p < 0.05) (0.829; p < 0.05). CONCLUSION: Bilateral pupil abnormality is positive related to unfavourable outcome and mortality in the patients following DC after moderate and severe TBI. Early DC may be more helpful to improve the long-term outcome of patients with refractory raised intracranial cerebral pressure after moderate and severe TBI. However, more RCTs with better control of patients with bilateral pupil abnormality divided into the early and late groups are needed in the future.

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)0.013
metaresearch head score (Gemma)0.024
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 score0.021
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.024
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0210.064
Bibliometrics0.0050.005
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0020.002
Research integrity0.0030.002
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 head0.120
GPT teacher head0.360
Teacher spread0.240 · 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

Citations24
Published2016
Admission routes1
Has abstractyes

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