Evidence map›Paper›PMID 30615143›Full record

ArticleNeuro-oncology2019

Body mass index, comorbidities, and hormonal factors in relation to meningioma in an ethnically diverse population: the Multiethnic Cohort.

Ivo S Muskens, Anna H Wu, Jacqueline Porcel, Iona Cheng, Loïc Le Marchand, Joseph L Wiemels, Veronica Wendy Setiawan

Abstract read
In one paragraph

Article in Neuro-oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

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

  1. Pooled it
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  13. Meningioma in the elderly.Neuro-oncology advances · 2023
    Article
  14. Meningioma and Other Meningeal Tumors.Advances in experimental medicine and biology · 2023
    Article
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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

7 authors.

Ivo S MuskensDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California.
Anna H WuDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California.
Jacqueline PorcelDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California.
Iona ChengUniversity of California San Francisco, San Francisco, California.
Loïc Le MarchandEpidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii.
Joseph L WiemelsDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California.
Veronica Wendy SetiawanDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California.

Funding

Understanding Population Differences in Cancer: The MEC StudyU01CA164973 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI HAIMAN, CHRISTOPHER ALAN, LE MARCHAND, LOIC · 2015 to 2025
$37.4M
NCI NIH HHS U01 CA164973
6 · The paper itself

Abstract

backgroundMeningioma is the most common intracranial tumor in the US and its etiology remains poorly understood. Meningioma has been predominantly studied among white populations. The aim of this study was to evaluate the associations of anthropometric, comorbidity, and hormonal factors with meningioma in an ethnically diverse population.

methodsA nested case-control analysis was performed within the Multiethnic Cohort (MEC). Meningioma cases were identified via linkage with Medicare and the California Office of Statewide Health Planning and Development Hospital Discharge data and were matched to up to 10 controls. Anthropometric, comorbidities, physical activity level, and hormonal factors at baseline based on questionnaires were evaluated for association with meningioma.

resultsA total of 894 cases and 8918 matched controls were included in this study. Increasing body mass index (BMI) (P-trend = 0.041) and weight increases since age 21 (P-trend = 0.0052) were positively associated with meningioma. Hormonal factors including oral contraceptive use (odds ratio [OR]: 1.24; 95% CI: 1.01-1.51) and estrogen hormonal therapy use (per 5 years, OR: 1.07; 95% CI: 1.01-1.15) were associated with meningioma risk. Hypertension was positively associated with meningioma (OR: 1.26; 95% CI: 1.09-1.47), with individuals who reported a history of both hypertension and diabetes showing a stronger association (OR: 1.54; 95% CI: 1.17-2.03). The tests for heterogeneity across race/ethnicity were not statistically significant (P heterogeneity ≥ 0.17); however, the association of BMI with meningioma was mainly observed in Japanese Americans (P-trend = 0.0036) and hypertension in Japanese Americans (OR: 1.63; 95% CI: 1.17-2.27) and Native Hawaiians (OR: 1.86; 95% CI: 1.02-3.40).

conclusionObesity, hormonal factors, and hypertension were associated with meningioma in an ethnically diverse population.

Indexed as

AgedBody Mass IndexCase-Control StudiesCohort StudiesComorbidityContraceptives, Oral, HormonalEstrogen Replacement TherapyFemaleHumansHypertensionMaleMeningeal NeoplasmsMeningiomaMiddle AgedObesityRisk FactorsContraceptives, Oral, Hormonalcohort studymeningiomamultiethnic cohort

Identifiers

PMID30615143
PMCPMC6422634

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.