Evidence map›Paper›PMID 37328825›Full record

ArticleBMC cancer2023

Metabolic syndrome and the risk of severe cancer events: a longitudinal study in Japanese workers.

Dong Van Hoang, Yosuke Inoue, Ami Fukunaga, Tohru Nakagawa, Toru Honda, Shuichiro Yamamoto, Hiroko Okazaki, Makoto Yamamoto, Toshiaki Miyamoto, Naoki Gommori and 10 more

Abstract read
In one paragraph

Article in BMC cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
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

20 authors.

Dong Van HoangDepartment of Epidemiology and Prevention, National Center for Global Health and Medicine, Toyama 1-21-1, Shinjuku-ku, Tokyo, 1628655, Japan. hdongyk97@gmail.com.
Yosuke InoueDepartment of Epidemiology and Prevention, National Center for Global Health and Medicine, Toyama 1-21-1, Shinjuku-ku, Tokyo, 1628655, Japan.
Ami FukunagaDepartment of Epidemiology and Prevention, National Center for Global Health and Medicine, Toyama 1-21-1, Shinjuku-ku, Tokyo, 1628655, Japan.
Tohru NakagawaHitachi Health Care Center, Hitachi, Ltd, Ibaraki, Japan.
Toru HondaHitachi Health Care Center, Hitachi, Ltd, Ibaraki, Japan.
Shuichiro YamamotoHitachi Health Care Center, Hitachi, Ltd, Ibaraki, Japan.
Hiroko OkazakiMitsui Chemicals, Inc, Tokyo, Japan.
Makoto YamamotoYamaha Corporation, Shizuoka, Japan.
Toshiaki MiyamotoNippon Steel Corporation, East Nippon Works, Chiba, Japan.
Naoki GommoriEast Japan Works (Keihin), JFE Steel Corporation, Keihin, Kanagawa, Japan.
Takeshi KochiFurukawa Electric Co., Ltd, Tokyo, Japan.
Taiki ShirasakaFurukawa Electric Co., Ltd, Tokyo, Japan.
Masafumi EguchiFurukawa Electric Co., Ltd, Tokyo, Japan.
Takayuki OgasawaraMitsubishi Fuso Truck and Bus Corporation, Kawasaki, Kanagawa, Japan.
Kenya YamamotoDivision of Chemical Information, National Institute of Occupational Safety and Health, Kiyose, Kanagawa, Japan.
Maki KonishiDepartment of Epidemiology and Prevention, National Center for Global Health and Medicine, Toyama 1-21-1, Shinjuku-ku, Tokyo, 1628655, Japan.
Nobumi KatayamaDepartment of Epidemiology and Prevention, National Center for Global Health and Medicine, Toyama 1-21-1, Shinjuku-ku, Tokyo, 1628655, Japan.
Isamu KabeKubota Corporation, Tokyo, Japan.
Seitaro DohiMitsui Chemicals, Inc, Tokyo, Japan.
Tetsuya MizoueDepartment of Epidemiology and Prevention, National Center for Global Health and Medicine, Toyama 1-21-1, Shinjuku-ku, Tokyo, 1628655, Japan.

Funding

Industrial Health Foundation, Japan 140202-01, 150903-01, and 170301-01Japan Society for the Promotion of Science KAKENHI JP16H05251National Center for Global Health and Medicine 28-Shi-1206
6 · The paper itself

Abstract

backgroundMetabolic syndrome (MetS) is associated with cancer risk; however, little is known regarding its relationship with the risk of cancer-related premature death and long-term sick leave (LTSL), which can lead to a substantial loss in working years. The present study aimed to quantify the all-site and site-specific associations between MetS and the risk of severe cancer events (a composite outcome of LTSL and mortality due to cancer) in a large working population in Japan.

methodsWe recruited 70,875 workers (59,950 men and 10,925 women), aged 20-59 years, who attended health check-ups in 2011 (10 companies) and 2014 (2 companies). All workers underwent follow up for severe cancer events until March 31, 2020. MetS was defined in accordance with the Joint Interim Statement. Cox regression models were used to quantify the association between baseline MetS and severe cancer events.

resultsDuring 427,379 person-years of follow-up, 523 participants experienced the outcome consisting of 493 LTSLs of which 124 eventually resulted in death, and 30 deaths without taking LTSL. The adjusted hazard ratios (HR) (95% confidence intervals [CI]) for composite severe events due to all-site, obesity-related, and non-obesity-related cancer among those with vs. without MetS were 1.26 (1.03, 1.55), 1.37 (1.04, 1.82), and 1.15 (0.84, 1.56), respectively. In cancer site-specific analyses, MetS was associated with an increased risk of severe events due to pancreatic cancer (HR, 2.06; 95% CI, 0.99-4.26). When mortality was treated solely as the endpoint, the association was significant for all-site (HR, 1.58; 95% CI, 1.10-2.26), and obesity-related (HR, 1.59; 95% CI, 1.00-2.54) cancer. Additionally, a greater number of MetS components was associated with a greater risk of both severe cancer events and cancer-related mortality (P trend < 0.05).

conclusionAmong Japanese workers, MetS was associated with an increased risk of severe cancer events, especially those due to obesity-linked cancer.

Indexed as

Metabolic SyndromePancreatic NeoplasmsAdultEast Asian PeopleFemaleHumansLongitudinal StudiesMaleMiddle AgedObesityRisk FactorsYoung AdultJapanLong-term sick leaveMetabolic syndromeMortalitySevere cancer events

Identifiers

PMID37328825
PMCPMC10273588

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.