Evidence map›Paper›PMID 40171571›Full record

ArticleInternational journal of surgery (London, England)2025

Global, regional, and national burden of brain and central nervous system cancer: a systematic analysis of incidence, deaths, and DALYS with predictions to 2040.

Qi Zhang, Honghao Yu, Jue Zhong, Weiting Cheng, Yiwei Qi

Abstract read
In one paragraph

Article in International journal of surgery (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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

5 authors.

Qi ZhangDepartment of Plastic and Cosmetic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Honghao YuDepartment of Dermatology and Venereology, Peking University First Hospital, Beijing, China.
Jue ZhongDepartment of Neurosurgery, Tongren Hospital of Wuhan University (Wuhan Third Hospital), Wuhan, P. R. China.
Weiting ChengDepartment of Oncology, Cancer Center, Renmin Hospital of Wuhan University, Wuhan, China.
Yiwei QiDepartment of Neurosurgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBrain and central nervous system (CNS) cancers present significant health challenges globally, characterized by increasing incidence and mortality rates. This study utilizes data from the Global Burden of Disease (GBD) 2021 to analyze trends and project future burdens.

methodsWe calculated age-standardized rates (ASRs) of incidence, mortality, and disability-adjusted life years (DALYs) for brain and CNS cancers from 1990 to 2021. Trends were analyzed using estimated annual percentage change, and future projections were made with an Autoregressive Integrated Moving Average (ARIMA) model. Correlations between the socio-demographic index (SDI) and ASR were also examined.

resultsThe study revealed a 106% increase in incidence number and a 63.67% rise in death number over the study period. The ARIMA model predicts declines in incidence, mortality, and DALYs by 2040. Higher incidence rates were observed in high SDI regions, while greater mortality occurred in low SDI areas, indicating significant disparities.

conclusionThese findings underscore the need for targeted interventions and sustained healthcare investments to manage the global burden of brain and CNS cancers effectively. The projected declines suggest potential effectiveness of current public health strategies but highlight the importance of addressing socio-demographic disparities.

Indexed as

Brain NeoplasmsCentral Nervous System NeoplasmsDisability-Adjusted Life YearsAdultAgedFemaleForecastingGlobal Burden of DiseaseGlobal HealthHumansIncidenceMaleMiddle Agedbrain and CNS cancerepidemiologyforecasting modelGlobal Burden of Disease

Identifiers

PMID40171571
PMCPMC12165519

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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.