Evidence map›Paper›PMID 35548083›Full record

ArticleFrontiers in public health2022

Mapping Cancer in Africa: A Comprehensive and Comparable Characterization of 34 Cancer Types Using Estimates From GLOBOCAN 2020.

Rajesh Sharma, Aashima, Mehak Nanda, Claudio Fronterre, Paul Sewagudde, Anna E Ssentongo, Kelsey Yenney, Nina D Arhin, John Oh, Forster Amponsah-Manu and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 125 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
125citing papers in PubMed, 3 pooled it
21.4field-weighted citation impact, top 1% of its field
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

125 citing papers in PubMed, 3 syntheses or guidelines pooled it, 219 citations in OpenAlex.

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  8. Trainee and Faculty Perspectives on Global Oncology: Assessing Interest, Barriers, and Opportunities.Journal of cancer education : the official journal of the American Association for Cancer Education · 2026
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65 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 6 institutions in 3 countries.

Rajesh SharmaUniversity School of Management and Entrepreneurship, Delhi Technological University, New Delhi, India.
AashimaUniversity School of Management and Entrepreneurship, Delhi Technological University, New Delhi, India.
Mehak NandaUniversity School of Management and Entrepreneurship, Delhi Technological University, New Delhi, India.
Claudio FronterreCentre for Health Informatics, Computing, and Statistics, Lancaster University, Lancaster, United Kingdom.
Paul SewaguddeRelife Family Medical Center, Kampala, Uganda.
Anna E SsentongoDepartment of Public Health Sciences, Penn State College of Medicine, Hershey, PA, United States.
Kelsey YenneyWashington State University Elson S. Floyd College of Medicine, Seattle, WA, United States.
Nina D ArhinDivision of Hematology/Oncology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States.
John OhDivision of Trauma Surgery, Department of Surgery, Penn State College of Medicine and Milton S. Hershey Medical Center, Hershey, PA, United States.
Forster Amponsah-ManuDepartment of Surgery, Eastern Regional Hospital, Koforidua, Ghana.
Paddy SsentongoDepartment of Public Health Sciences, Penn State College of Medicine, Hershey, PA, United States.
Delhi Technological University · INPenn State Milton S. Hershey Medical Center · USGeorgia Highlands College · USLancaster University · GBPennsylvania State University · USVanderbilt University Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Cancer incidence and mortality rates in Africa are increasing, yet their geographic distribution and determinants are incompletely characterized. The present study aims to establish the spatial epidemiology of cancer burden in Africa and delineate the association between cancer burden and the country-level socioeconomic status. The study also examines the forecasts of the cancer burden for 2040 and evaluates infrastructure availability across all African countries. Methods: The estimates of age, sex, and country-specific incidence and mortality of 34 neoplasms in 54 African countries, were procured from GLOBOCAN 2020. Mortality-to-incidence ratio (MIR) was employed as a proxy indicator of 5-year survival rates, and the socioeconomic development of each country was measured using its human development index (HDI). We regressed age-standardized incidence rate (ASIR), age-standardized mortality rate (ASMR), and MIR on HDI using linear regression model to determine the relationship between cancer burden and HDI. Maps were generated for each cancer group for each country in Africa. The data about the cancer infrastructure of African countries were extracted from the WHO Cancer Country Profiles. Results: In Africa, an estimated 1.1 million new cases [95% uncertainty intervals (UIs) 1.0 - 1.3 million] and 711,429 [611,604 - 827,547] deaths occurred due to neoplasms in 2020. The ASIR was estimated to be 132.1/100,000, varying from 78.4/100,000 (Niger) to 212.5/100,000 (La Réunion) in 2020. The ASMR was 88.8/100,000 in Africa, ranging from 56.6/100,000 in the Republic of the Congo to 139.4/100,000 in Zimbabwe. The MIR of all cancer combined was 0.64 in Africa, varying from 0.49 in Mauritius to 0.78 in The Gambia. HDI had a significant negative correlation with MIR of all cancer groups combined and main cancer groups (prostate, breast, cervical and colorectal). HDI explained 75% of the variation in overall 5-year cancer survival (MIR). By 2040, the burden of all neoplasms combined is forecasted to increase to 2.1 million new cases and 1.4 million deaths in Africa. Conclusion: High cancer mortality rates in Africa demand a holistic approach toward cancer control and management, including, but not limited to, boosting cancer awareness, adopting primary and secondary prevention, mitigating risk factors, improving cancer infrastructure and timely treatment.

Indexed as

NeoplasmsAfricaHumansIncidenceMaleRisk FactorsSurvival RateAfricacancer burdenGLOBOCANincidencemappingmortalityspatial epidemiology

Identifiers

PMID35548083
PMCPMC9082420
OpenAlexW4224865622

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.