Evidence map›Paper›PMID 32214176›Full record

ArticleScientific reports2020

Trends and Projections in Breast Cancer Mortality among four Asian countries (1990-2017): Evidence from five Stochastic Mortality Models.

Sumaira Mubarik, Fang Wang, Muhammad Fawad, Yafeng Wang, Ishfaq Ahmad, Chuanhua Yu

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Experimental biology and medicine (Maywood, N.J.) · 2023
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  6. Concerns and coping mechanisms of breast cancer survivor women from Asia: a scoping review.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2023
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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

6 authors.

Sumaira MubarikDepartment of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, Wuhan, Hubei, 430071, China.ORCID http://orcid.org/0000-0001-6041-1061
Fang WangDepartment of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, Wuhan, Hubei, 430071, China.
Muhammad FawadHenan Academy of Big Data, Zhengzhou University, Zhengzhou, 450052, China.ORCID http://orcid.org/0000-0001-8921-4248
Yafeng WangDepartment of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, Wuhan, Hubei, 430071, China.
Ishfaq AhmadDepartment of Mathematics and Statistics, Faculty of Basic and Applied Sciences, International Islamic University, Islamabad, Pakistan.ORCID http://orcid.org/0000-0002-1124-7485
Chuanhua YuDepartment of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, Wuhan, Hubei, 430071, China. yuchua@whu.edu.cn.ORCID http://orcid.org/0000-0002-5467-2481

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current study aimed to explore some important insights into the breast cancer mortality (BCM) trends and projections among four Asian countries by using five advanced stochastic mortality models. BCM data over 28 years from 1990-2017 with ages 20-84 were retrieved from the Global Burden of Disease (GBD) Study 2017 for four Asian countries, namely, China, India, Pakistan, and Thailand. Five stochastic mortality models with the family of generalized age-period-cohort were implemented to find the present and future BCM trends in these four Asian countries. Based on Cairns-Blake-Dowd (CBD) model and Lee-Carter model (LCM), overall, results revealed that BCM increased with the passage of time. Aging factor was the most influential factor of elevated BCM in each Asian country under consideration. Projection of BCM showed that mortality rates might continue to grow with time, especially in older ages in each Asian country under study. The highest forecasted BCM rates were observed in Pakistan as compared to other countries. The obvious increase in BCM suggested that earlier tactics should be implemented to reduce the subsequent morbidity and mortality due to breast cancer. The last but not least, some additional tactics to mitigate the BCM in older ages must be adopted.

Indexed as

AdultAgedAged, 80 and overAsiaBreast NeoplasmsFemaleForecastingHumansMiddle AgedModels, StatisticalMortalityTime FactorsYoung Adult

Identifiers

PMID32214176
PMCPMC7096499

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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.