Evidence map›Paper›PMID 33572660›Full record

ArticleCancers2021

Lipid Level, Lipid Variability, and Risk of Multiple Myeloma: A Nationwide Population-Based Study of 3,527,776 Subjects.

Taewoong Choi, In Young Choi, Kyungdo Han, Su-Min Jeong, Jung Eun Yoo, Sang Youl Rhee, Yong-Gyu Park, Dong Wook Shin

Abstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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.

Taewoong ChoiDivision of Hematologic Malignancies and Cellular Therapy, Duke University Medical Center, Durham, NC 27710, USA.
In Young ChoiTotal Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Korea.
Kyungdo HanDepartment of Statistics and Actuarial Science, Soongsil University, Seoul 06978, Korea.
Su-Min JeongDepartment of Family Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul 07061, Korea.
Jung Eun YooDepartment of Family Medicine, Healthcare System Gangnam Center, Seoul National University Hospital, Seoul 06236, Korea.
Sang Youl RheeDepartment of Endocrinology and Metabolism, Kyung Hee University School of Medicine, Seoul 02453, Korea.
Yong-Gyu ParkDepartment of Medical Statistics, College of Medicine, Catholic University of Korea, Seoul 06591, Korea.
Dong Wook ShinSupportive Care Center/Department of Family Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Background: There is evidence that abnormality in lipid metabolism promotes cancer development. This study investigated whether lipid level and its variability are associated with the development of MM at a population level. (2) Methods: A retrospective cohort study included a total of 3,527,776 subjects aged 40 and above who participated in ≥3 health examinations within the previous five years, including the index year (2012-2013). Total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C) and triglyceride (TG) were measured, and visit-to-visit lipid variability were calculated by variability independent of the mean (VIM) method. The study population was followed from the health examination date in the index year until the diagnosis of MM, death, or the last follow-up date (31 December 2017). (3) Results: During a median (5-95%) 5.1 years of follow-up, 969 subjects developed MM. A lower risk of MM was observed with higher quartiles of baseline lipid levels compared to the lowest quartile group (Q4 vs. Q1: adjusted hazard ratios (aHRs) 0.51, 95% confidence interval (CI) (0.42-0.61) for TC; 0.50 (0.41-0.61) for HDL-C; 0.65 (0.54-0.77) for LDL-C; and 0.72 (0.60-0.87) for TG in model (3). Among all lipid measures, only variability in HDL-C was associated with risk of MM: aHRs (95% CI) were 1.12 (0.91-1.38), 1.19 (0.97-1.46), and 1.34 (1.09-1.65) in the Q2, Q3, and Q4, respectively, compared to the Q1 of VIM of HDL-C. (4) Conclusions: This study shows that patients with lower lipid levels and high HDL-C variability are at increased risk of developing MM.

Indexed as

lipid levellipid variabilitymultiple myelomarisk

Identifiers

PMID33572660
PMCPMC7866996

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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.