Evidence map›Paper›PMID 28178283›Full record

ArticlePloS one2017

Behavioral risk factors of breast cancer in Bangui of Central African Republic: A retrospective case-control study.

Augustin Balekouzou, Ping Yin, Henok Kessete Afewerky, Cavin Bekolo, Christian Maucler Pamatika, Sylvain Wilfrid Nambei, Marceline Djeintote, Antoine Doui Doumgba, Christian Diamont Mossoro-Kpinde, Chang Shu and 9 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PloS one, 2017. 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. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Observational
  8. 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

19 authors.

Augustin BalekouzouDepartment of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College of Huazhong University of Sciences and Technology, Wuhan, China.
Ping YinDepartment of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College of Huazhong University of Sciences and Technology, Wuhan, China.
Henok Kessete AfewerkyDepartment of Pathology and Pathophysiology, Tongji Medical College of Huazhong University of Sciences and Technology, Wuhan, China.
Cavin BekoloMinistry of Public Health, Centre Medical d'Arrondissement de Bare, Nkongsamba, Yaoundé, Cameroon.
Christian Maucler PamatikaHospital Laboratory Friendship of Bangui, Bangui, Central African Republic.
Sylvain Wilfrid NambeiFaculty of Health Sciences, University of Bangui, Bangui, Central African Republic.
Marceline DjeintoteNational Laboratory of Clinical Biology and Public Health, Bangui, Central African Republic.
Antoine Doui DoumgbaFaculty of Health Sciences, University of Bangui, Bangui, Central African Republic.
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, Wuhan, China.
Minghui YinDepartment of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College of Huazhong University of Sciences and Technology, Wuhan, China.
Zhen FuDepartment of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College of Huazhong University of Sciences and Technology, Wuhan, China.
Tingting QingDepartment of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College of Huazhong University of Sciences and Technology, Wuhan, China.
Mingming YanDepartment of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College of Huazhong University of Sciences and Technology, Wuhan, China.
Jianyuan ZhangDepartment of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College of Huazhong University of Sciences and Technology, Wuhan, China.
Shaojun ChenDepartment of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College of Huazhong University of Sciences and Technology, Wuhan, China.
Hongyu LiDepartment of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College of Huazhong University of Sciences and Technology, Wuhan, China.
Zhongyu XuDepartment of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College of Huazhong University of Sciences and Technology, Wuhan, 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

Breast cancer is recognized as a major public health problem in developing countries; however, there is very little evidence of behavioral factors associated with breast cancer risk. This study was conducted to identify lifestyles as risk factors for breast cancer among Central African women. A case-control study was conducted with 174 cases confirmed histologically by the pathology unit of the National Laboratory and 348 age-matched controls. Data collection tools included a questionnaire with interviews and medical records of patients. Data were analyzed using SPSS software version 20. Odd ratio (OR) and 95% confidence intervals (95% CI) were obtained by unconditional logistic regression. In total, 522 women were studied with a mean age of 45.8 (SD = 13.4) years. By unconditional logistic regression model, women with breast cancer were more likely to have attained illiterate and elementary education level [11.23 (95% CI, 4.65-27.14) and 2.40 (95% CI, 1.15-4.99)], married [2.09 (95% CI, 1.18-3.71)], positive family history [2.31 (95% CI, 1.36-3.91)], radiation exposure [8.21 (95% CI, 5.04-13.38)], consumption charcuterie [10.82 (95% CI, 2.39-48.90)], fresh fish consumption [4.26 (95% CI, 1.56-11.65)], groundnut consumption [6.46 (95% CI, 2.57-16.27)], soybean consumption [16.74 (95% CI, 8.03-39.84)], alcohol [2.53 (95% CI, 1.39-4.60)], habit of keeping money in bras[3.57 (95% CI, 2.24-5.69)], overweight [5.36 (95% CI, 4.46-24.57)] and obesity [3.11(95% CI, 2.39-20.42)]. However, decreased risk of breast cancer was associated with being employed [0.32 (95% CI, 0.19-0.56)], urban residence [0.16 (95% CI, 0.07-0.37)], groundnut oil consumption [0.05 (95% CI, 0.02-0.14)], wine consumption [0.16 (95% CI, 0.09-0.26)], non habit of keeping cell phone in bras [0.56 (95% CI, 0.35-0.89)] and physical activity [0.71(95% CI, 0.14-0.84)]. The study showed that little or no education, marriage, positive family history of cancer, radiation exposure, charcuterie, fresh fish, groundnut, soybean, alcohol, habit of keeping money in bras, overweight and obesity were associated with breast cancer risk among Central African women living in Bangui. Women living in Bangui should be more cautious on the behavioral risk associated with breast cancer.

Indexed as

Life StyleAdolescentAdultAgedAged, 80 and overBody Weights and MeasuresBreast NeoplasmsCase-Control StudiesCentral African RepublicFemaleHumansMiddle AgedRetrospective StudiesRisk AssessmentRisk FactorsSocioeconomic Factors

Identifiers

PMID28178283
PMCPMC5298279

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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.