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Record W2606216969 · doi:10.3171/2016.11.jns162055

Neuropsychological function after endovascular and neurosurgical treatment of subarachnoid hemorrhage: a systematic review and meta-analysis

2017· review· en· W2606216969 on OpenAlexafffund
Peter Egeto, R. Loch Macdonald, Tisha J. Ornstein, Tom A. Schweizer

Bibliographic record

VenueJournal of neurosurgery · 2017
Typereview
Languageen
FieldMedicine
TopicIntracranial Aneurysms: Treatment and Complications
Canadian institutionsUniversity of TorontoSt. Michael's HospitalToronto Metropolitan University
FundersOntario Ministry of Research and Innovation
KeywordsMedicineSubarachnoid hemorrhageNeuropsychologyClipping (morphology)Endovascular coilingMeta-analysisAnterior cerebral arteryMiddle cerebral arterySurgeryAneurysmInternal medicineEndovascular treatmentCognitionPsychiatry

Abstract

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OBJECTIVE Subarachnoid hemorrhage (SAH) is treated with either surgical clipping or endovascular coiling, though the latter is the preferred treatment method given its more favorable functional outcomes. However, neuropsychological functioning after treatment is rarely taken into account. In this meta-analysis, the authors synthesized relevant data from the literature and compared neuropsychological functioning in patients after coiling and clipping of SAH. They hypothesized that the coiled patients would outperform the clipped patients; that group differences would be greater with higher posterior circulation rupture rates, in older patients, and in more recent publications; that group differences would be smaller with greater rates of middle cerebral artery (MCA) rupture; and that anterior communicating artery (ACoA) rupture rates would not influence effect sizes. METHODS The MEDLINE, Embase, and PsycINFO databases were searched for clinical studies that compared neuropsychological functioning after either endovascular coiling or surgical clipping for SAH. Hedge's g and 95% confidence intervals were calculated using random effects models. Patients who had undergone coiling or clipping were compared on test performance in 8 neuropsychological domains: executive functions, language, attention/processing speed, verbal memory, visual memory, spatial memory, visuospatial functions, and intelligence. Patients were also compared with healthy controls, and meta-regressions were used to explore the relation between effect sizes and publication year, delay between treatment and neuropsychological testing, mean patient age, and rates of posterior circulation, ACoA, and MCA ruptures. RESULTS Thirteen studies with 396 clipped cases, 314 coiled cases, and 169 healthy controls were included in the study. The coil-treated patients outperformed the clip-treated patients on executive function (g = 0.17, 95% CI 0.08-0.25) and language tests (g = 0.23, 95% CI 0.07-0.39), and all patients were impaired relative to healthy controls (g ranged from -0.93 to -0.29). Coiled patients outperformed clipped patients to a greater degree in more recent publications, over longer posttreatment testing delays, and among older patients. Higher rates of posterior circulation and MCA aneurysms were associated with smaller group differences, while ACoA rupture rates did not influence effect sizes. CONCLUSIONS Coiling of SAH may promote superior neuropsychological functioning under certain circumstances and could have applications for the specialized care of SAH patients.

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)0.009
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (broad)
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 score0.985
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.024
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0150.026
Bibliometrics0.0050.007
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0020.001
Research integrity0.0020.001
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 head0.354
Teacher spread0.233 · 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.

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

Citations25
Published2017
Admission routes2
Has abstractyes

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