Evidence map›Paper›PMID 29204019›Full record

ArticleJournal of neurosciences in rural practice

Histologically Confirmed Intracranial Tumors Managed at Enugu, Nigeria.

Chika Anele Ndubuisi, Samuel C Ohaegbulam, Linda U Iroegbu, Mike Ezeali Ekuma, Wilfred C Mezue, Uwadiegwu Alphonsus Erechukwu

Abstract read
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Article in Journal of neurosciences in rural practice. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

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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

6 authors.

Chika Anele NdubuisiDepartment of Neurosurgery, Memfys Hospital for Neurosurgery, Enugu, Nigeria.
Samuel C OhaegbulamDepartment of Neurosurgery, Memfys Hospital for Neurosurgery, Enugu, Nigeria.
Linda U IroegbuDepartment of Neurosurgery, Memfys Hospital for Neurosurgery, Enugu, Nigeria.
Mike Ezeali EkumaDepartment of Neurosurgery, Memfys Hospital for Neurosurgery, Enugu, Nigeria.
Wilfred C MezueDepartment of Neurosurgery, Memfys Hospital for Neurosurgery, Enugu, Nigeria.
Uwadiegwu Alphonsus ErechukwuDepartment of Neurosurgery, Memfys Hospital for Neurosurgery, Enugu, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is controversy about the global distribution of intracranial tumors (ICTs). The previous reports from Africa suggested low frequency and different pattern of distribution of brain tumors from what obtains in other continents. The limitations at that time, including paucity of diagnostic facilities and personnel, have improved.

objectiveThe objective of this study is to analyze the current trend and distribution of histology confirmed brain tumors managed in Enugu, in a decade.

methodsA retrospective analysis of ICTs managed between 2006 and 2015 at Memfys Hospital, Enugu. Only cases with conclusive histology report were analyzed. The World Health Organization ICT classification was used.

resultsThis study reviewed 252 patients out of 612 neuroimaging diagnosed brain tumors. Mean age was 42.8 years and male-to-female ratio was 1.2:1.0. Annual frequency increased from 11 in 2006 to 55 in 2015. Metastatic brain tumors accounted for 5.6%, and infratentorial tumors represented 16.3%. Frequency of the common primary tumors were meningioma (32.9%), glioma (23.8%), pituitary adenomas (13.5%), and craniopharyngioma (7.5%) (

conclusionMeningioma is the most frequent tumor with increasing male incidence, but the frequency of glioma is increasing. Metastasis, acoustic schwannoma, lymphoma, and germ cell tumors seem to be uncommon. Late presentation is the rule.

Indexed as

Epidemiologygeographical-neurosurgeryintracranial-tumors

Identifiers

PMID29204019
PMCPMC5709882

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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.