ArticleThe Malaysian journal of medical sciences : MJMS2022
Prediction of Productivity Costs Related to Cervical Cancer Mortality in Indonesia 2018.
Article in The Malaysian journal of medical sciences : MJMS, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Medicaid expansion and overall mortality among women with cervical cancer.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026Article
- Microsatellite instability states serve as predictive biomarkers for tumors chemotherapy sensitivity.iScience · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Cervical cancer is the second leading cause of death in Indonesia, causing a significant societal burden. This study aims to quantify the burden of cervical cancer in terms of years of life lost (YLL) and productivity cost to support the idea that cervical cancer has substantial economic implications. Methods: Using an epidemiological approach on the prevalence data of 2018, the productivity cost and YLL were estimated by calculating the number of cervical cancer deaths, life expectancy, annual earnings and employment participation rate. Cervical cancer mortality data were obtained from the Global Cancer Observatory (GLOBOCAN) 2018, life expectancy for Indonesia from the WHO Life Tables (2019), and the annual earnings and participation rate of Indonesia were retrieved from the National Statistics Bureau (2018). Results: In 2018, there were 17,253 deaths due to cervical cancer in Indonesia, resulting in 246,350 YLL with a total productivity cost of Indonesian Rupiah (IDR)23,174 trillion. The age group of 50 years old-64 years old experienced the greatest loss of earnings (IDR12,149 trillion), followed by the 35 years old-49 years old (IDR8,944 trillion) and 20 years old-34 years old (IDR8,944 trillion) age groups. Conclusion: The productivity impact of loss of earning due to cervical cancer mortality is significant. This information may assist decision makers in allocating scarce resources among competing priorities.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.