Evidence map›Paper›PMID 36265517›Full record

ArticleEpidemiology and health2022

Multimorbidity adjusted years lost to disability rates calculated through Monte-Carlo simulation in Korea.

Yoonhee Shin, Eun Jeong Choi, Bomi Park, Hye Ah Lee, Eun-Kyung Lee, Hyesook Park

Open access · diamondAbstract read
In one paragraph

Article in Epidemiology and health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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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 at 2 institutions in 1 country.

Yoonhee ShinDepartment of Preventive Medicine, Ewha Womans University College of Medicine, Seoul, Korea.
Eun Jeong ChoiDepartment of Preventive Medicine, Ewha Womans University College of Medicine, Seoul, Korea.
Bomi ParkDepartment of Preventive Medicine, Chung-Ang University College of Medicine, Seoul, Korea.
Hye Ah LeeClinical Trial Center, Mokdong Hospital, Ewha Womans University, Seoul, Korea.
Eun-Kyung LeeDepartment of Statistics, Ewha Womans University, Seoul, Korea.
Hyesook ParkDepartment of Preventive Medicine, Ewha Womans University College of Medicine, Seoul, Korea.
Ewha Womans University · KRChung-Ang University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectives

objectivesTo efficiently utilize limited health and medical resources, it is necessary to accurately measure the level of health, which requires estimating the multimorbidity-corrected burden of disease.

methods

methodsThis study used 2015 and 2016 data from the National Health Insurance Service, and employed the list of diseases defined in a Korean study of the burden of disease, the criteria for prevalence, and the "cause-sequelae-health state" disease system. When calculating the years lost to disability (YLD), multimorbidity was corrected using Monte-Carlo simulation.

results

resultsCorrecting for multimorbidity changed YLD at all ages in Korea by -1.2% (95% confidence interval [CI], -24.1 to 3.6) in males and -12.4% (95% CI, -23.0 to 0.3) in females in 2015, and by -10.8% (95% CI, -24.1 to 4.6) in males and -11.1% (95% CI, -22.8 to 1.7) in females in 2016. The YLD rate for non-communicable diseases in males decreased more than that of other disease groups in both years, by -11.8% (95% CI, -19.5 to 3.6) and -11.5% (95% CI, -19.3 to -3.0), respectively. The overall YLD rate changed by -1.3% in the 5-year to 9-year age group, and the magnitude of this change remained similar until the 10-19-year age group, gradually decreased after 20 years of age, and steeply increased to more than 10% in those aged 60 and older.

results

conclusionsCalculations of YLD should adjust for multimorbidity, as the disease burden can otherwise be overestimated for the elderly, who tend to exhibit a high prevalence of multimorbidity.

Indexed as

MultimorbidityPersons with DisabilitiesAdolescentAdultAgedChildFemaleGlobal HealthHumansMaleMiddle AgedPrevalenceRepublic of KoreaYoung AdultKoreaMonte Carlo methodMultimorbidityYears lived with disability

Identifiers

PMID36265517
PMCPMC10089703
OpenAlexW4306760209

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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.