Evidence map›Paper›PMID 39518155›Full record

ReviewCancers2024

Untreated Vestibular Schwannoma: Analysis of the Determinants of Growth.

Cheng Yang, Daniel Alvarado, Pawan Kishore Ravindran, Max E Keizer, Koos Hovinga, Martinus P G Broen, Henricus P M Kunst, Yasin Temel

Abstract readReview
In one paragraph

Review in Cancers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Cheng YangDepartment of Neurosurgery, Maastricht University Medical Center, 6202 AZ Maastricht, The Netherlands.ORCID 0009-0000-7110-9765
Daniel AlvaradoDepartment of Neurosurgery, Maastricht University Medical Center, 6202 AZ Maastricht, The Netherlands.ORCID 0000-0002-7676-3827
Pawan Kishore RavindranDepartment of Neurosurgery, Maastricht University Medical Center, 6202 AZ Maastricht, The Netherlands.
Max E KeizerDepartment of Neurosurgery, Maastricht University Medical Center, 6202 AZ Maastricht, The Netherlands.ORCID 0000-0001-8263-9550
Koos HovingaDepartment of Neurosurgery, Maastricht University Medical Center, 6202 AZ Maastricht, The Netherlands.
Martinus P G BroenDepartment of Neurology, Maastricht University Medical Center, 6202 AZ Maastricht, The Netherlands.
Henricus P M KunstDepartment of Ear, Nose and Throat, Maastricht University Medical Center, 6202 AZ Maastricht, The Netherlands.
Yasin TemelDepartment of Neurosurgery, Maastricht University Medical Center, 6202 AZ Maastricht, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The growth rate of sporadic VS varies considerably, posing challenges for consistent clinical management. This systematic review examines data on factors associated with VS growth, following a protocol registered in the PROSPERO database. The analysis reveals that key predictors of tumor growth include tumor location, initial size, and specific clinical symptoms such as hearing loss and imbalance. Additionally, several studies suggest that growth observed within the first year may serve as an indicator of subsequent progression, enabling the earlier identification of high-risk cases. Emerging factors such as the posture swing test and MRI signal intensity have also been identified as novel predictors that could further refine growth assessments. Our meta-analysis confirms that tumor location, initial size, cystic components, and vestibular symptoms are closely linked to the likelihood of VS growth. This review provides valuable guidance for clinicians in identifying patients who may require closer monitoring or early intervention. By integrating these predictive factors into clinical practice, this review supports more personalized treatment and contributes to the development of more accurate prognostic models for managing untreated sporadic VS.

Indexed as

factorsgrowth ratemeta-analysisskull basesystematic reviewuntreatedvestibular schwannoma

Identifiers

PMID39518155
PMCPMC11545831

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.