Evidence map›Paper›PMID 39465058›Full record

ArticleArchives of academic emergency medicine2025

The Burden of Head Injuries in Iran from 1990 to 2019: Findings from The Global Burden of Disease Study 2019.

Tahereh Maleki, Vali Baigi, Negin Safari, Mahdi Sharif-Alhoseini

Abstract read
In one paragraph

Article in Archives of academic emergency medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Tahereh MalekiStudents' Scientific Research Center, Tehran University of Medial Sciences, Tehran, Iran.
Vali BaigiSina Trauma and Surgery Research Center, Tehran University of Medial Sciences, Tehran, Iran.
Negin SafariStudents' Scientific Research Center, Tehran University of Medial Sciences, Tehran, Iran.
Mahdi Sharif-AlhoseiniSina Trauma and Surgery Research Center, Tehran University of Medial Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Head injuries (HI) pose a significant public health concern globally, impacting morbidity, mortality, and economic burden. This study aimed to evaluate the epidemiology and trends associated with head injuries in Iran from 1990 to 2019. Methods: Our study, based on data from the Global Burden of Diseases (GBD) Study 2019, undertook a comprehensive comparison of the burden of HI in Iran with the Middle East and North Africa (MENA) and global benchmarks. We assessed the incidence, prevalence, and years lived with disability (YLD) through various metrics, including absolute numbers, age-standardized rates (ASR), percentage changes, and estimated annual percentage changes (EAPC) from 1990 to 2019. Results: The incidence of HI in Iran decreased significantly from 1990 to 2019, with a notable reduction compared to MENA and global trends (EAPC: -1.44, 0.71, and -0.11, respectively). Prevalence showed a declining trend (EAPC: -1.00), with a slight increase in YLDs (EAPC: 0.12). Notable peaks in HI incidence coincided with natural disasters, notably the 1990 Manjil-Rudbar earthquake and the 2003 Bam earthquake. Conclusion: Our study reveals a decline in the overall burden of HI in Iran over the study period. To sustain this positive trend and minimize the impact of HI on public health and socioeconomic well-being, policy efforts should be directed toward ongoing prevention, early detection, and preparedness for natural disasters.

Indexed as

Brain injuriesCraniocerebral traumaDisability-adjusted life yearsGlobal burden of diseaseIncidencePrevalencetraumatic

Identifiers

PMID39465058
PMCPMC11512717

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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.