Evidence map›Paper›PMID 38877130›Full record

ArticleScientific reports2024

Kidney cancer in the Middle East and North Africa region: a 30-year analysis (1990-2019).

Saeid Safiri, Kamaleddin Hassanzadeh, Amir Ghaffari Jolfayi, Seyed Ehsan Mousavi, Kimia Motlagh Asghari, Seyed Aria Nejadghaderi, Nima Naghdi-Sedeh, Maryam Noori, Mark J M Sullman, Gary S Collins and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Observational
  4. National and subnational burden of neurological disorders in Iran, 1990 to 2021: results from the global burden of disease study 2021.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
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

11 authors.

Saeid SafiriSocial Determinants of Health Research Center, Department of Community Medicine, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran. saeidsafiri@gmail.com.
Kamaleddin HassanzadehDepartment of Urology, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.
Amir Ghaffari JolfayiStudent Research Committee, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Seyed Ehsan MousaviNeurosciences Research Center, Aging Research Institute, Tabriz University of Medical Sciences, Tabriz, Iran.
Kimia Motlagh AsghariSocial Determinants of Health Research Center, Department of Community Medicine, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.
Seyed Aria NejadghaderiHIV/STI Surveillance Research Center, and WHO Collaborating Center for HIV Surveillance, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.
Nima Naghdi-SedehHematology and Oncology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Maryam NooriUrology Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Mark J M SullmanDepartment of Life and Health Sciences, University of Nicosia, Nicosia, Cyprus.
Gary S CollinsCentre for Statistics in Medicine, NDORMS, Botnar Research Centre, University of Oxford, Oxford, UK.
Ali-Asghar KolahiSocial Determinants of Health Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran. a.kolahi@sbmu.ac.ir.

Funding

Shahid Beheshti University of Medical Sciences 43004455
6 · The paper itself

Abstract

Kidney cancer, a type of urogenital cancer, imposes a high burden on patients. Despite this, no recent research has evaluated the burden of this type of cancer in the Middle East and North Africa (MENA) region. This study explored the burden of kidney cancer from 1990 to 2019 according to age, sex and socio-demographic index (SDI). The Global Burden of Disease (GBD) 2019 data was utilized to estimate the incidence, death, and disability-adjusted life-years (DALYs) caused by kidney cancer. These estimates were reported as counts and as age-standardised rates with 95% uncertainty intervals (UIs). The estimated age-standardised incidence, mortality, and DALY rates of kidney cancer in 2019 were 3.2 (2.8-3.6), 1.4 (1.2-1.6), and 37.2 (32.0-42.6) per 100,000, respectively. Over the period from 1990 to 2019, these rates have increased by 98.0%, 48.9%, and 37.7%, respectively. In 2019, the United Arab Emirates, Qatar, and Lebanon had the largest age-standardised incidence, mortality, and DALY rates. The smallest age-standardised incidence rates were seen in Yemen, Afghanistan, and the Syrian Arab Republic. Additionally, the smallest age-standardised mortality and DALY rates were observed in the Syrian Arab Republic, Yemen, and Morocco. The highest incidence rates were found among individuals aged 75-79 in both males and females. In 2019, the MENA/Global DALY ratio exceeded one for females aged 5-19 age and males aged 5-14, compared to 1990age groups in males. The burden of kidney cancer consistently rose with increasing SDI levels from 1990 to 2019. The increasing burden of kidney cancer highlights the urgent need for interventions aimed at improving early diagnosis and treatment in the region.

Indexed as

Kidney NeoplasmsAdolescentAdultAfrica, NorthernAgedAged, 80 and overChildChild, PreschoolDisability-Adjusted Life YearsFemaleGlobal Burden of DiseaseHumansIncidenceInfantMaleMiddle AgedEpidemiologyIncidenceKidney neoplasmsMENAYears lived with disability

Identifiers

PMID38877130
PMCPMC11178886

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.