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Record W4407747846 · doi:10.1007/s11060-024-04935-5

Tinnitus after treatment of vestibular schwannoma: a systematic review and comparative analysis of microsurgery and stereotactic radiosurgery

2025· review· en· W4407747846 on OpenAlexaboutno aff
Ramkumar Govindaraj, Courtney Chambers, Marcus Kha, Thomas Sullivan, Sharad Chawla, Andrew C. Zacest, Peter Gorayski, Daniel Roos

Bibliographic record

VenueJournal of Neuro-Oncology · 2025
Typereview
Languageen
FieldMedicine
TopicMeningioma and schwannoma management
Canadian institutionsnot available
FundersUniversity of Adelaide
KeywordsTinnitusMedicineRadiosurgeryMicrosurgeryMeta-analysisAcoustic neuromaSchwannomaOdds ratioAudiologySurgeryRadiation therapyInternal medicine

Abstract

fetched live from OpenAlex

Abstract Purpose The purpose of this systematic review and meta-analysis was to compare tinnitus outcomes following microsurgery and stereotactic radiosurgery for vestibular schwannoma. Methods The databases MEDLINE (via Ovid), EMBASE (via Ovid), Cochrane Central Register of Controlled Trials (via Ovid), SCOPUS, CINAHL (EBSCO), and Web of Science were searched for studies comparing microsurgery and radiosurgery treatment, and reporting tinnitus outcomes. Longitudinal tinnitus assessment with pre-treatment evaluation was required for inclusion. Fractionated radiotherapy treatment was excluded. Newcastle-Ottawa scale was used to assess the quality of the included studies. A separate random-effects meta-analysis was performed for the continuous, binary and ordinal tinnitus outcomes, with pooled effects described as a standardised mean difference or a log odds ratio as appropriate. Results Thirteen studies involving 5814 patients were included in the review; 4 were prospective studies, and the rest were retrospective cohort studies. The median follow-up duration in the microsurgery and radiosurgery groups was 39.5 months and 41.1 months, respectively. Studies were diverse with respect to inclusion criteria and method of tinnitus outcome assessment. Only 4 studies reported tinnitus scores using tinnitus questionnaires, while others used Likert scale, visual analogue scale, binary (present or absent) scale or ordinal (improved, same or worse) scale. Four studies reported better tinnitus outcomes after microsurgery than radiosurgery. However, the overall quality of the studies was low, and most did not control for important confounders, such as age, tumour characteristics, and hearing impairment. Meta-analysis of continuous and binary tinnitus outcomes showed no difference between the interventions (standardised mean difference = -0.04, 95% CI -0.37 to 0.28, p = 0.80; log odds ratio = 0.32, 95% CI -1.11 to 1.74, p = 0.66). Meta-analysis of tinnitus outcomes on an ordinal scale showed microsurgery increased the odds of reporting improved tinnitus compared to radiosurgery (log odds ratio = 0.83, 95% CI 0.01 to 1.64, p = 0.045). Heterogeneity between the studies was high for all outcome measures (I2 > 56%). Conclusion Meta-analyses of tinnitus outcomes were largely inconclusive, except when tinnitus was reported as an ordinal outcome, which favoured microsurgery. However, due to the low quality of studies and high heterogeneity, no definitive conclusions could be drawn favouring either treatment.

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)0.010
metaresearch head score (Gemma)0.032
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.017
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.032
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0170.024
Bibliometrics0.0080.008
Science and technology studies0.0010.001
Scholarly communication0.0030.002
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 head0.067
GPT teacher head0.375
Teacher spread0.308 · 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 designSystematic review
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

Citations1
Published2025
Admission routes1
Has abstractyes

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