Evidence map›Paper›PMID 29143273›Full record

ArticleJournal of neuro-oncology2018

Meningioma recurrence rates following treatment: a systematic analysis.

Victor Lam Shin Cheung, Albert Kim, Arjun Sahgal, Sunit Das

Abstract read
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In one paragraph

Article in Journal of neuro-oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 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

32 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  13. Meningioma recurrence: Time for an online prediction tool?Surgical neurology international · 2024
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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

4 authors.

Victor Lam Shin CheungDepartment of Clinical Neurological Sciences, Western University and London Health Sciences Centre, London, ON, Canada.
Albert KimDepartment of Neurosurgery, Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO, USA.
Arjun SahgalDepartment of Radiation Oncology, Sunnybrook Hospital, Toronto, ON, Canada.
Sunit DasKeenan Research Centre and Division of Neurosurgery, St. Michael's Hospital, Toronto, ON, Canada. sunit.das@utoronto.ca.ORCID http://orcid.org/0000-0002-2146-4168

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recurrence rates of meningiomas have been widely reported in the literature, but it remains challenging for clinicians to predict recurrence rate depending on treatment, patient demographics and tumor characteristics. To address these needs, we performed a systematic analysis of the literature to determine the recurrence rate ranges of meningiomas following surgery or radiation. Our search yielded 13 studies that met all criteria for inclusion, allowing us to include 1539 patients in the assessment. Recurrence rates ranged from 0.00 to 2.36 per 100-person-years for WHO grade I meningiomas; and from 7.35 to 11.46 per 100-person-years for WHO grade II meningiomas. Our findings suggest that (1) reported recurrence rates are variable and complicated by the heterogeneity of study populations; (2) as expected, WHO grade II meningiomas generally have a higher recurrence rate than WHO grade I, when controlling for time of diagnosis (by employing person-years); and (3) there is a need for more rigorous reporting of recurrence rates, WHO grade, and Simpson grading for individual patients in order to determine a robust mean of recurrence across WHO grades.

Indexed as

AgedDisease ProgressionFemaleHumansMaleMeningeal NeoplasmsMeningiomaMiddle AgedNeoplasm GradingNeoplasm Recurrence, LocalProgression-Free SurvivalRisk AssessmentMeningiomaMicrosurgeryRadiationRecurrence

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.