Evidence map›Paper›PMID 38125964›Full record

ArticleEClinicalMedicine2024

Feasibility of monitoring Global Breast Cancer Initiative Framework key performance indicators in 21 Asian National Cancer Centers Alliance member countries.

Sok King Ong, Rei Haruyama, Cheng Har Yip, Tran Thu Ngan, Jingmei Li, Daphne Lai, Yawei Zhang, Siyan Yi, Abhishek Shankar, Evlina Suzanna and 20 more

Abstract read
In one paragraph

Article in EClinicalMedicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 3 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

27 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. The role of wearable technologies in supporting physical and psychosocial health outcomes among breast cancer patients: a systematic review.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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  7. The relationship between self-efficacy and self-advocacy among young and middle-aged Chinese breast cancer patients: the mediating effect of health literacy.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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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

30 authors.

Sok King OngPAPRSB Institute of Health Sciences, Universiti Brunei Darussalam, Brunei Darussalam.
Rei HaruyamaBureau of International Health Cooperation, National Center for Global Health and Medicine, Japan.
Cheng Har YipFaculty of Medicine, University of Malaya, Malaysia.
Tran Thu NganCenter for Population Health Sciences, Hanoi University of Public Health, Hanoi, Vietnam.
Jingmei LiWomen's Health and Genetics, Genome Institute of Singapore, A∗Star, Singapore.
Daphne LaiSchool of Digital Science, Universiti Brunei Darussalam, Brunei Darussalam.
Yawei ZhangNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Siyan YiKHANA Center for Population Health Research, Phnom Penh, Cambodia.
Abhishek ShankarDepartment of Radiation Oncology, Dr BR Ambedkar Institute Rotary Cancer Hospital, All India Institute of Medical Sciences, Delhi, India.
Evlina SuzannaNational Cancer Center Indonesia, Dharmais Cancer Hospital, Jakarta, Indonesia.
So-Youn JungCenter for Breast Cancer, National Cancer Center, Goyang, Republic of Korea.
Peh Joo HoWomen's Health and Genetics, Genome Institute of Singapore, A∗Star, Singapore.
Aasim YusufShaukat Khanum Memorial Cancer Hospital and Research Centres, Lahore and Peshawar, Pakistan.
Ashrafun NessaDepartment of Gynaecological Oncology, Bangabandhu Sheikh Mujib Medical University, Bangladesh.
Kyu-Won JungNational Cancer Centre Graduate School of Cancer Science and Policy, Goyang, Republic of Korea.
Eshani FernandoNational Cancer Control Programme, Ministry of Health, Sri Lanka.
Shweta BaralBhaktapur Cancer Hospital, Bhaktapur, Nepal.
Maryam BagherianBreast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran, Iran.
Prabhat PradhanJigme Dorji Wangchuck National Referral Hospital, Bhutan.
Uranbolor JugderCancer Registry-surveillance and Early Detection Division, National Cancer Center of Mongolia, Ulaanbaatar, Mongolia.
Champadeng VongdalaCancer Center, Mittaphab Hospital, Vientiane, Lao PDR.
Siti Norbayah YusofNational Cancer Institute, Putrajaya, Malaysia.
Khin ThiriPink Rose Breast Cancer Patients Support Group, Yangon, Myanmar.
Patumrat SripanResearch Institute for Health Sciences, Chiang Mai University, Thailand.
Clarito CairoDepartment of Health, Disease Prevention and Control Bureau, Manila, Philippines.
Tomohiro MatsudaNational Cancer Center Institute for Cancer Control, Tokyo, Japan.
Suleeporn SangrajranNational Cancer Institute, Bangkok, Thailand.
Veronique Kiak-Mien TanNational Cancer Centre Singapore, Singapore.
Ravi MehrotraIndian Cancer Genome Atlas, India & Centre for Health, Innovation and Policy Foundation, India.
Benjamin O AndersonWorld Health Organisation (WHO), Geneva, Switzerland.

Funding

World Health Organization 001
6 · The paper itself

Abstract

Background: The Global Breast Cancer Initiative (GBCI) Framework, launched by the World Health Organisation (WHO) in 2023, emphasises assessing, strengthening, and scaling up services for the early detection and management of breast cancer. This study aims to determine the feasibility of monitoring the status of breast cancer control in the 21 Asian National Cancer Centers Alliance (ANCCA) countries based on the three GBCI Framework key performance indicators (KPIs): stage at diagnosis, time to diagnosis, and treatment completion. Methods: We reviewed published literature on breast cancer control among 21 ANCCA countries from May to July 2023 to establish data availability and compiled the latest descriptive statistics and sources of the indicators using a standardised data collection form. We performed bivariate Pearson's correlation analysis to measure the strength of correlation between stage at diagnosis, mortality and survival rates, and universal health coverage. Findings: Only 12 (57%) ANCCA member countries published national cancer registry reports on breast cancer age-standardised incidence rate (ASIR) and age-standardised mortality rate (ASMR). Indonesia, Myanmar, and Nepal had provincial data and others relied on WHO's Global Cancer Observatory (GLOBOCAN) estimates. GLOBOCAN data differed from the reported national statistics by 5-10% in Bhutan, Indonesia, Iran, the Republic of Korea, Singapore, and Thailand and >10% in China, India, Malaysia, Mongolia, and Sri Lanka. The proportion of patients diagnosed in stages I and II strongly correlated with the five-year survival rate and with the universal health coverage (UHC) index. Three countries (14%) reported national data with >60% of invasive breast cancer patients diagnosed at stages I and II, and a five-year survival rate of >80%. Over 60% of the ANCCA countries had no published national data on breast cancer staging, the time interval from presentation to diagnosis, and diagnosis to treatment. Five (24%) countries reported data on treatment completion. The definition of delayed diagnosis and treatment completion varied across countries. Interpretation: GBCI's Pillar 1 KPI correlates strongly with five-year survival rate and with the UHC index. Most ANCCA countries lacked national data on cancer staging, timely diagnosis, and treatment completion KPIs. While institutional-level data were available in some countries, they may not represent the nationwide status. Strengthening cancer surveillance is crucial for effective breast cancer control. The GBCI Framework indicators warrant more detailed definitions for standardised data collection. Surrogate indicators which are measurable and manageable in country-specific settings, could be considered for monitoring GBCI indicators. Ensuring UHC and addressing health inequalities are essential to early diagnosis and treatment of breast cancer. Funding: Funding for this research article's processing fee (APC) will be provided by the affiliated institution to support the open-access publication of this work. The funding body is not involved in the study design; collection, management, analysis and interpretation of data; or the decision to submit for publication. The funding body will be informed of any planned publications, and documentation provided.

Indexed as

ANCCAAsiaBreast cancerCancer stageCompletion of treatmentEarly diagnosisFeasibilityIndicatorsScreeningSurvivalWHO GBCI Framework

Identifiers

PMID38125964
PMCPMC10731600

What OpenQuestion holds

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LicenceCC BY
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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.