Evidence map›Paper›PMID 35360680›Full record

ArticleFrontiers in nutrition2022

Breast Cancer Mortality Trends and Predictions to 2030 and Its Attributable Risk Factors in East and South Asian Countries.

Sumaira Mubarik, Rajesh Sharma, Syeda Rija Hussain, Mujahid Iqbal, Nawsherwan, Xiaoxue Liu, Chuanhua Yu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 3 pooled it
3.6field-weighted citation impact, top 6% 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

18 citing papers in PubMed, 3 syntheses or guidelines pooled it, 37 citations in OpenAlex.

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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

7 authors at 4 institutions in 3 countries.

Sumaira MubarikDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China.
Rajesh SharmaUniversity School of Management and Entrepreneurship Delhi Technological University Delhi, New Delhi, India.
Syeda Rija HussainDepartment of Health Sciences, Rawalpindi Medical University, Rawalpindi, Pakistan.
Mujahid IqbalDepartment of Psychology, School of Philosophy, Wuhan University, Wuhan, China.
NawsherwanInstitute of Cardiovascular Diseases, Xiamen University, Xiamen, China.
Xiaoxue LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China.
Chuanhua YuDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China.
Wuhan University · CNDelhi Technological University · INRawalpindi Medical University · PKXiamen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Amidst the rising breast cancer burden in Asia, we aim to predict the future mortality risk due to breast cancer and identify the risk-attributable deaths for breast cancer among East and South Asian countries. Methods: We used country-level data to predict the trends in the next decade relating to female breast cancer mortality by employing data from 1990 to 2019 from the Global Burden of Disease 2019 study. We used the stochastic mortality modeling and prediction techniques to forecast the age-specific and risk-attributable breast cancer mortality trends at the regional and national levels of East and South Asia. Results: The number of deaths caused by the breast cancer is predicted to increase in East and South Asian countries in the next decade (2020-2030). Age-standardized death rate (ASDR) of breast cancer is predicted to increase by 7.0% from 9.20/100,000 (95% CI: 6.04-12.12) in 1990 to 9.88/100,000 (95% CI: 7.12-11.4) in 2030 in East Asia, and about 35% increase from 13.4/100,000 (95% CI: 9.21-16.02) in 1990 to 18.1/100,000 (95% CI: 13.23-21.10) in 2030 in South Asia. At the national level, the highest percent change in ASDR between 1990 and 2030 was reported in Pakistan (a 62% increase) and Nepal (a 47% increase). The highest percent change in breast cancer mortality between 2020 and 2030 for females of age group 80-84 years was observed in Pakistan [21.6, (95% CI, 20.6-94.7)], followed by Afghanistan [13.3 (4.0-80.8)], and Nepal [36.6 (11.1-125.7)] as compared to the other countries. In the females of aged 50-80 years, the predicted death rates were associated with high body mass index, high-fasting plasma glucose, and diet high in red meat, across the majority of countries under study. Furthermore, reductions in percent change in mortality rates occurred in several countries with increases in sociodemographic index (SDI), notably across high SDI countries. Conclusion: Breast cancer mortality risk varies substantially across East and South Asian countries with higher mortality risk in low/middle SDI countries. Early detection using screening, awareness among females and health workers, and cost-effective and timely treatment of patients with breast cancer is vital in stemming the tide of breast cancer in the next decade.

Indexed as

breast cancer mortalityLee–Carter modellife expectancypredictionrisk factors

Identifiers

PMID35360680
PMCPMC8964109
OpenAlexW4220832036

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.