Evidence map›Paper›PMID 33650323›Full record

ArticleCancer medicine2021

Impact of reproductive factors on breast cancer incidence: Pooled analysis of nine cohort studies in Japan.

Taro Takeuchi, Yuri Kitamura, Tomotaka Sobue, Mai Utada, Kotaro Ozasa, Yumi Sugawara, Ichiro Tsuji, Miyuki Hori, Norie Sawada, Shoichiro Tsugane and 13 more

Abstract read
In one paragraph

Article in Cancer medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Systematic Review and Meta-Analysis of Lifestyle and Reproductive Factors Associated with Risk of Breast Cancer in Asian Women.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
    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

23 authors.

Taro TakeuchiDepartment of Social Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.ORCID 0000-0002-9900-9608
Yuri KitamuraDepartment of Social Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.ORCID 0000-0001-7665-3524
Tomotaka SobueDepartment of Social Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.ORCID 0000-0003-2817-3483
Mai UtadaDepartment of Epidemiology, Radiation Effects Research Foundation, Hiroshima, Japan.
Kotaro OzasaDepartment of Epidemiology, Radiation Effects Research Foundation, Hiroshima, Japan.
Yumi SugawaraDivision of Epidemiology, Department of Health Informatics and Public Health, School of Public Health, Tohoku University Graduate School of Medicine, Sendai, Japan.ORCID 0000-0002-0197-6772
Ichiro TsujiDivision of Epidemiology, Department of Health Informatics and Public Health, School of Public Health, Tohoku University Graduate School of Medicine, Sendai, Japan.
Miyuki HoriEpidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan.
Norie SawadaEpidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan.ORCID 0000-0002-9936-1476
Shoichiro TsuganeEpidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan.
Yuriko N KoyanagiDivision of Cancer Information and Control, Department of Preventive Medicine, Aichi Cancer Research Institute, Nagoya, Japan.
Hidemi ItoDivision of Cancer Information and Control, Department of Preventive Medicine, Aichi Cancer Research Institute, Nagoya, Japan.ORCID 0000-0002-8023-4581
Chaochen WangDepartment of Public Health, Aichi Medical University School of Medicine, Nagakute, Japan.
Akiko TamakoshiDepartment of Public Health, Faculty of Medicine, Hokkaido University, Hokkaido, Japan.
Keiko WadaDepartment of Epidemiology and Preventive Medicine, Gifu University Graduate School of Medicine, Gifu, Japan.ORCID 0000-0002-5467-8592
Chisato NagataDepartment of Epidemiology and Preventive Medicine, Gifu University Graduate School of Medicine, Gifu, Japan.
Taichi ShimazuEpidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan.
Tetsuya MizoueDepartment of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan.
Keitaro MatsuoDivision of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan.ORCID 0000-0003-1761-6314
Mariko NaitoDepartment of Oral Epidemiology, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Keitaro TanakaDepartment of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan.
Manami InoueEpidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan.ORCID 0000-0003-1276-2398
Research Group for the Development, Evaluation of Cancer Prevention Strategies in JapanDepartment of Social Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prior studies reported the association of reproductive factors with breast cancer (BC), but the evidence is inconsistent. We conducted a pooled analysis of nine cohort studies in Japan to evaluate the impact of six reproductive factors (age at menarche/age at first birth/number of births/age at menopause/use of female hormones/breastfeeding) on BC incidence. We conducted analyses according to menopausal status at the baseline or at the diagnosis. Hazard ratio (HR) and 95% confidence interval (CI) were estimated by applying Cox proportional-hazards model in each study. These hazard ratios were integrated using a random-effects model. Among 187,999 women (premenopausal: 61,113, postmenopausal: 126,886), we observed 873 premenopausal and 1,456 postmenopausal cases. Among premenopausal women, use of female hormones significantly increased BC incidence (HR: 1.53 [1.04-2.25]). Although P value for trend was not significant for age at first birth and number of births (P for trend: 0.15 and 0.30, respectively), women giving first birth at ages ≥36 experienced significantly higher BC incidence than at ages 21-25 years, and women who had ≥2 births experienced significantly lower BC incidence than nulliparous women. Among postmenopausal women, more births significantly decreased BC incidence (P for trend: 0.03). Although P value for trend was not significant for age at first birth and age at menopause (P for trend: 0.30 and 0.37, respectively), women giving first birth at ages 26-35 years experienced significantly higher BC incidence than at ages 21-25 years, and women with age at menopause: ≥50 years experienced significantly higher BC incidence than age at menopause: ≤44 years. BC incidence was similar according to age at menarche or breastfeeding history among both premenopausal and postmenopausal women. In conclusion, among Japanese women, use of female hormones increased BC incidence in premenopausal women, and more births decreased BC incidence in postmenopausal women.

Indexed as

Reproductive HistoryAdolescentAdultAgedAged, 80 and overAge FactorsBreast FeedingBreast NeoplasmsChildCohort StudiesConfidence IntervalsEstrogensFemaleHumansIncidenceJapanEstrogensbreast cancercancer risk factorsepidemiology and preventionmeta-analysis

Identifiers

PMID33650323
PMCPMC7957169

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Registered trials

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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.