Evidence map›Paper›PMID 28264686›Full record

ArticleBMC women's health2017

Reproductive risk factors associated with breast cancer in women in Bangui: a case-control study.

Augustin Balekouzou, Ping Yin, Christian Maucler Pamatika, Cavin Epie Bekolo, Sylvain Wilfrid Nambei, Marceline Djeintote, Komlan Kota, Christian Diamont Mossoro-Kpinde, Chang Shu, Minghui Yin and 8 more

Abstract read
In one paragraph

Article in BMC women's health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 3 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

26 citing papers in PubMed, 3 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

18 authors.

Augustin BalekouzouDepartment of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College of Huazhong University of Sciences and Technology, Hangkong Road 13, Wuhan City, Hubei Province, China.
Ping YinDepartment of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College of Huazhong University of Sciences and Technology, Hangkong Road 13, Wuhan City, Hubei Province, China. pingyin2000@126.com.
Christian Maucler PamatikaHospital Laboratory Friendship, Bangui, Central African Republic.
Cavin Epie BekoloMinistry of Public Health, Centre Medical d'Arrondissement de Bare, Nkongsamba, Cameroon.
Sylvain Wilfrid NambeiFaculty of Health Sciences, University of Bangui, Avenue of the Martyrs, Bangui, Central African Republic.
Marceline DjeintoteNational Laboratory of Clinical Biology and Public Health, Bangui, Central African Republic.
Komlan KotaDepartment of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College of Huazhong University of Sciences and Technology, Hangkong Road 13, Wuhan City, Hubei Province, China.
Christian Diamont Mossoro-KpindeNational Laboratory of Clinical Biology and Public Health, Bangui, Central African Republic.
Chang ShuDepartment of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College of Huazhong University of Sciences and Technology, Hangkong Road 13, Wuhan City, Hubei Province, China.
Minghui YinDepartment of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College of Huazhong University of Sciences and Technology, Hangkong Road 13, Wuhan City, Hubei Province, China.
Zhen FuDepartment of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College of Huazhong University of Sciences and Technology, Hangkong Road 13, Wuhan City, Hubei Province, China.
Tingting QingDepartment of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College of Huazhong University of Sciences and Technology, Hangkong Road 13, Wuhan City, Hubei Province, China.
Mingming YanDepartment of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College of Huazhong University of Sciences and Technology, Hangkong Road 13, Wuhan City, Hubei Province, China.
Jianyuan ZhangDepartment of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College of Huazhong University of Sciences and Technology, Hangkong Road 13, Wuhan City, Hubei Province, China.
Shaojun ChenDepartment of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College of Huazhong University of Sciences and Technology, Hangkong Road 13, Wuhan City, Hubei Province, China.
Hongyu LiDepartment of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College of Huazhong University of Sciences and Technology, Hangkong Road 13, Wuhan City, Hubei Province, China.
Zhongyu XuDepartment of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College of Huazhong University of Sciences and Technology, Hangkong Road 13, Wuhan City, Hubei Province, China.
Boniface KoffiNational Laboratory of Clinical Biology and Public Health, Bangui, Central African Republic.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast cancer (breast Ca) is recognised as a major public health problem in the world. Data on reproductive factors associated with breast Ca in the Central African Republic (CAR) is very limited. This study aimed to identify reproductive variables as risk factors for breast Ca in CAR women.

methodsA case-control study was conducted among 174 cases of breast Ca confirmed at the Pathology Unit of the National Laboratory in Bangui between 2003 and 2015 and 348 age-matched controls. Data collection tools included a questionnaire, interviews and a review of medical records of patients. Data were analysed using SPSS software version 20. Odd ratios and 95% confidence intervals (CI) for the likelihood of developing breast Ca were obtained using unconditional logistic regression.

resultsIn total, 522 women with a mean age of 45.8 (SD = 13.4) years were enrolled. Women with breast Ca were more likely to have attained little or no education (AOR = 11.23, CI: 4.65-27.14 and AOR = 2.40, CI: 1.15-4.99), to be married (AOR = 2.09, CI: 1.18-3.71), to have had an abortion (AOR = 5.41, CI: 3.47-8.44), and to be nulliparous (AOR = 1.98, CI: 1.12-3.49). Decreased odds of breast Ca were associated with being employed (AOR = 0.32, CI: 0.19-0.56), living in urban areas (AOR = 0.16, CI: 0.07-0.37), late menarche (AOR = 0.18, CI: 0.07-0.44), regular menstrual cycles (AOR = 0.44, CI: 0.23-0.81), term pregnancy (AOR = 0.26, CI: 0.13-0.50) and hormonal contraceptive use (AOR = 0.62, CI: 0.41-0.93).

conclusionBreast Ca risk factors in CAR did not appear to be significantly different from that observed in other populations. This study highlighted the risk factors of breast Ca in women living in Bangui to inform appropriate control measures.

Indexed as

ReproductionRisk AssessmentAbortion, InducedAdolescentAdultAgedAge FactorsBreast NeoplasmsCase-Control StudiesCentral African RepublicChi-Square DistributionEducational StatusFemaleHumansLogistic ModelsMiddle AgedBanguiBreast cancerCentral African RepublicReproductive factorsWomen

Identifiers

PMID28264686
PMCPMC5340027

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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.