Evidence map›Paper›PMID 29672595›Full record

ArticlePloS one2018

Association of change in total cholesterol level with mortality: A population-based study.

Su-Min Jeong, Seulggie Choi, Kyuwoong Kim, Sung-Min Kim, Gyeongsil Lee, Joung Sik Son, Jae-Moon Yun, Sang Min Park

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

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

  1. Pooled it
  2. Observational
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Su-Min JeongDepartment of Family Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Seulggie ChoiDepartment of Biomedical Sciences, Seoul National University Graduate School, Seoul, Republic of Korea.ORCID 0000-0002-0581-165X
Kyuwoong KimDepartment of Biomedical Sciences, Seoul National University Graduate School, Seoul, Republic of Korea.
Sung-Min KimDepartment of Biomedical Sciences, Seoul National University Graduate School, Seoul, Republic of Korea.
Gyeongsil LeeDepartment of Family Medicine, Seoul National University Hospital, Seoul, Republic of Korea.ORCID 0000-0003-1910-9658
Joung Sik SonDepartment of Family Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Jae-Moon YunDepartment of Family Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Sang Min ParkDepartment of Family Medicine, Seoul National University Hospital, Seoul, Republic of Korea.ORCID 0000-0002-7498-4829

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHypercholesterolemia is a well-established risk factor for coronary heart disease, but the association between cholesterol level change and mortality is not fully understood. We aimed to investigate the association of 2 year (2002-2003 to 2004-2005) change in cholesterol with all-cause and cause-specific mortality in a population-based cohort study. METHODS AND

findingsThe study population consisted of 269,391 participants aged more than 40 years who were free of myocardial infarction, stroke and cancer using the Korean National Health Insurance Service-National Health Screening Cohort. Cholesterol levels were classified into 1st, 2nd and 3rd tertiles during each of the first and second health examinations, respectively. The participants were followed-up for all-cause and cause-specific mortality from 1 January 2006 to 31 December 2013. Compared to participants who stayed within the 2nd tertile group for cholesterol during both the first and second examinations, participants who became or maintained cholesterol levels to the 1st tertile during the second examination had increased risk of all-cause mortality [adjusted hazard ratio (aHR) with 95% confidence interval (95% CI) = 1.28 (1.18-1.38) in 1st/1st, 1.16 (1.07-1.26) in 2nd/1st and 1.47 (1.32-1.64) in 3rd/1st tertile levels, respectively]. In addition, increased or persistent high cholesterol levels to the 3rd tertile was associated with elevated risk for all-cause mortality [aHR (95% CI) = 1.10 (1.01-1.20) in 1st/2nd, 1.16(1.03-1.31) in 1st/3rd and 1.15(1.05-1.25) in 3rd/3rd tertile levels].

conclusionsChanges in cholesterol levels in either direction to low cholesterol or persistently low cholesterol levels were associated with higher risk of mortality. Particularly, spontaneous decline in cholesterol levels may be a marker for worsening health conditions.

Indexed as

MortalityPopulation SurveillanceAgedAged, 80 and overBiomarkersCause of DeathCholesterolFemaleHumansMaleMiddle AgedProportional Hazards ModelsBiomarkersCholesterol

Identifiers

PMID29672595
PMCPMC5908176

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.