Evidence map›Paper›PMID 28717246›Full record

ArticleScientific reports2017

Estimating utility weights and quality-adjusted life year loss for colorectal cancer-related health states in Korea.

Jin Yong Lee, Minsu Ock, Min-Woo Jo, Woo-Seung Son, Hyeon-Jeong Lee, Seon-Ha Kim, Hyun Joo Kim, Jong Lyul Lee

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
7.9field-weighted citation impact, top 3% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Health state utility values by cancer stage: a systematic literature review.The European journal of health economics : HEPAC : health economics in prevention and care · 2021
    Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
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  7. German value sets for the EORTC QLU-C10D, a cancer-specific utility instrument based on the EORTC QLQ-C30.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2019
    Article
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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

8 authors at 3 institutions in 2 countries.

Jin Yong LeePublic Health Medical Service, Boramae Medical Center, Seoul National University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0002-7752-2697
Minsu OckDepartment of Preventive Medicine, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Republic of Korea.
Min-Woo JoDepartment of Preventive Medicine, University of Ulsan College of Medicine, Seoul, Republic of Korea. mdjominwoo@gmail.com.
Woo-Seung SonDepartment of Preventive Medicine, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Hyeon-Jeong LeeDepartment of Preventive Medicine, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Seon-Ha KimDepartment of Nursing, College of Nursing, Dankook University, Cheonan, Republic of Korea.
Hyun Joo KimDepartment of Nursing Science, Shinsung University, Dangjin, Republic of Korea.ORCID 0000-0001-5784-3576
Jong Lyul LeeDepartments of Colon and Rectal Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Ulsan College · KRDankook University · KRShinsung University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to assess utility weight of health states associated with colorectal cancer (CRC) that reflect the societal preference of the Korean population and to estimate the quality-adjusted life year (QALY) loss with CRC. We recruited 607 individuals from the Korean population; they were surveyed via face-to-face computer-assisted interviews. The participants evaluated each CRC-associated health state using standard gamble. Utility weight for each health state was calculated as the possibility of full health restoration. Moreover, we estimated total QALY loss due to CRC in Korean individuals aged ≥30 years in 2013. To calculate QALY due to morbidity, we yielded utility weights and used epidemiologic data of CRC on severity from the National Cancer Control Institute. QALY loss due to mortality was calculated using mortality of CRC and life expectancy data from the Korean Statistical Information Service. The highest and lowest utility weights were assigned to "adenomatous polyps" and "metastatic colon cancer", respectively. Total QALY loss due to CRC in Korea was 173,662; these patients were more likely to be men or be included in the 70-74-year age group. These utility weights may be useful for conducting cost-utility studies of cancer screening for CRC and for measuring disease burden with QALY.

Indexed as

AdultColorectal NeoplasmsComorbidityCost of IllnessEarly Detection of CancerFemaleHumansLife ExpectancyMaleMiddle AgedQuality-Adjusted Life YearsRepublic of KoreaSurveys and QuestionnairesYoung Adult

Identifiers

PMID28717246
PMCPMC5514107
OpenAlexW2735122992

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.