Evidence map›Paper›PMID 31482651›Full record

ArticleCancer science2019

Meat subtypes and colorectal cancer risk: A pooled analysis of 6 cohort studies in Japan.

Zobida Islam, Shamima Akter, Ikuko Kashino, Tetsuya Mizoue, Norie Sawada, Nagisa Mori, Yoko Yamagiwa, Shoichiro Tsugane, Mariko Naito, Akiko Tamakoshi and 13 more

Open access · goldAbstract read
In one paragraph

Article in Cancer science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 5 pooled it
1.1field-weighted citation impact, top 20% 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

15 citing papers in PubMed, 5 syntheses or guidelines pooled it, 24 citations in OpenAlex.

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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

23 authors at 10 institutions in 1 country.

Zobida IslamDepartment of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0002-6785-1753
Shamima AkterDepartment of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan.
Ikuko KashinoDepartment of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan.
Tetsuya MizoueDepartment of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan.
Norie SawadaEpidemiology and Prevention Group, Research Center for Public Health Sciences, National Cancer Center, Tokyo, Japan.ORCID https://orcid.org/0000-0002-9936-1476
Nagisa MoriEpidemiology and Prevention Group, Research Center for Public Health Sciences, National Cancer Center, Tokyo, Japan.ORCID https://orcid.org/0000-0003-1721-4083
Yoko YamagiwaEpidemiology and Prevention Group, Research Center for Public Health Sciences, National Cancer Center, Tokyo, Japan.
Shoichiro TsuganeEpidemiology and Prevention Group, Research Center for Public Health Sciences, National Cancer Center, Tokyo, Japan.
Mariko NaitoDepartment of Oral Epidemiology, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima, Japan.
Akiko TamakoshiDepartment of Public Health, Hokkaido University Graduate School of Medicine, Sapporo, Japan.
Keiko WadaDepartment of Epidemiology and Preventive Medicine, Gifu University Graduate School of Medicine, Gifu, Japan.ORCID https://orcid.org/0000-0002-5467-8592
Chisato NagataDepartment of Epidemiology and Preventive Medicine, Gifu University Graduate School of Medicine, Gifu, Japan.
Yumi SugawaraDivision of Epidemiology, Department of Public Health and Forensic Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan.ORCID https://orcid.org/0000-0002-0197-6772
Ichiro TsujiDivision of Epidemiology, Department of Public Health and Forensic Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan.
Keitaro MatsuoDivision of Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan.ORCID https://orcid.org/0000-0003-1761-6314
Hidemi ItoDivision of Cancer Information and Control, Department of Preventive Medicine, Aichi Cancer Center Research Institute, Nagoya, Japan.
Yingsong LinDepartment of Public Health, Aichi Medical University School of Medicine, Aichi, Japan.
Yuri KitamuraDepartment of Social Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.ORCID https://orcid.org/0000-0001-7665-3524
Atsuko SadakaneDepartment of Epidemiology, Radiation Effects Research Foundation, Hiroshima, Japan.
Keitaro TanakaDepartment of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan.
Taichi ShimazuEpidemiology and Prevention Group, Research Center for Public Health Sciences, National Cancer Center, Tokyo, Japan.
Manami InoueEpidemiology and Prevention Group, Research Center for Public Health Sciences, National Cancer Center, Tokyo, Japan.ORCID https://orcid.org/0000-0003-1276-2398
Research Group for the Development and Evaluation of Cancer Prevention Strategies in Japan
National Center for Global Health and Medicine · JPAichi Cancer Center · JPGifu University · JPTohoku University · JPAichi Medical University · JPHiroshima University · JPHokkaido University · JPRadiation Effects Research Foundation · JPSaga University · JPThe University of Osaka · JP

Funding

Health and Labor Sciences Research Grants for the Third Term Comprehensive Control Research for Cancer H16-3jigan-010Health and Labor Sciences Research Grants for the Third Term Comprehensive Control Research for Cancer H18-3jigan-ippan-001Health and Labor Sciences Research Grants for the Third Term Comprehensive Control Research for Cancer H21-3jigan-ippan-003National Cancer Center Research and Development Fund 24-A-3National Cancer Center Research and Development Fund 27-A-4National Cancer Center Research and Development Fund 30-A-15
6 · The paper itself

Abstract

Red meat and processed meat have been suggested to increase risk of colorectal cancer (CRC), especially colon cancer. However, it remains unclear whether these associations differ according to meat subtypes or colon subsites. The present study addressed this issue by undertaking a pooled analysis of large population-based cohort studies in Japan: 5 studies comprising 232 403 participants (5694 CRC cases) for analysis based on frequency of meat intake, and 2 studies comprising 123 635 participants (3550 CRC cases) for analysis based on intake quantity. Study-specific hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated using the Cox proportional hazards model and then pooled using the random effect model. Comparing the highest vs lowest quartile, beef intake was associated with an increased risk of colon cancer in women (pooled HR 1.20; 95% CI, 1.01-1.44) and distal colon cancer (DCC) risk in men (pooled HR 1.30; 95% CI, 1.05-1.61). Frequent intake of pork was associated with an increased risk of distal colon cancer in women (pooled HR 1.44; 95% CI, 1.10-1.87) for "3 times/wk or more" vs "less than 1 time/wk". Frequent intake of processed red meat was associated with an increased risk of colon cancer in women (pooled HR 1.39; 95% CI, 0.97-2.00; P trend = .04) for "almost every day" vs "less than 1 time/wk". No association was observed for chicken consumption. The present findings support that intake of beef, pork (women only), and processed red meat (women only) might be associated with a higher risk of colon (distal colon) cancer in Japanese.

Indexed as

AnimalsAsian PeopleBody Mass IndexCattleColonColonic NeoplasmsConfidence IntervalsFemaleFood HandlingHumansJapanMaleMeatPoultryRectal NeoplasmsRed Meatcolon cancerpooled analysisprocessed meatrectal cancerred meat subtype

Identifiers

PMID31482651
PMCPMC6825004
OpenAlexW2971682318

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.