Evidence map›Paper›PMID 27923361›Full record

ArticleBMC public health2016

Epidemiology of breast cancer: retrospective study in the Central African Republic.

Augustin Balekouzou, Ping Yin, Christian Maucler Pamatika, Ghose Bishwajit, Sylvain Wilfrid Nambei, Marceline Djeintote, Barbara Esther Ouansaba, Chang Shu, Minghui Yin, Zhen Fu and 6 more

Abstract read
In one paragraph

Article in BMC public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

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

  1. Pooled it
  2. Review
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  13. Study on Breast Cancer in Kazakhstan Using the Functional Time Series.Asian Pacific journal of cancer prevention : APJCP · 2023
    Article
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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

16 authors.

Augustin BalekouzouDepartment of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College of Huazhong University of Sciences and Technology, Post Box Office 430030, 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, Post Box Office 430030, Hangkong Road 13, Wuhan City, Hubei Province, China. pingyin2000@126.com.
Christian Maucler PamatikaHospital Laboratory Friendship of Bangui, Avenue of independence, Bangui City, 4th disctrict, Central African Republic.
Ghose BishwajitSchool of Medicine and Health Management, Tongji Medical College of Huazhong University of Sciences and Technology, Post Box Office 430030, Wuhan, China.
Sylvain Wilfrid NambeiFaculty of Health Sciences, University of Bangui, Avenue of the Martyrs, 18 Bangui city, 1st District, Central African Republic.
Marceline DjeintoteNational Laboratory of Clinical Biology and Public Health, Abdel Nasser Road, Post Box Office 1426, Bangui, Central African Republic.
Barbara Esther OuansabaNational Laboratory of Clinical Biology and Public Health, Abdel Nasser Road, Post Box Office 1426, Bangui, Central African Republic.
Chang ShuDepartment of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College of Huazhong University of Sciences and Technology, Post Box Office 430030, 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, Post Box Office 430030, 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, Post Box Office 430030, 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, Post Box Office 430030, 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, Post Box Office 430030, Hangkong Road 13, Wuhan City, Hubei Province, China.
Yuanli ChenDepartment of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College of Huazhong University of Sciences and Technology, Post Box Office 430030, 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, Post Box Office 430030, 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, Post Box Office 430030, Hangkong Road 13, Wuhan City, Hubei Province, China.
Boniface KoffiNational Laboratory of Clinical Biology and Public Health, Abdel Nasser Road, Post Box Office 1426, Bangui, Central African Republic.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast cancer is recognised as a major public health problem in developing countries; however, there is very limited evidence about its epidemiology in the Central African Republic. The aim of this study was to investigate the epidemiological and histopathological characteristics of breast cancer in Bangui.

methodsThis is a retrospective study based on the data collected from pathological anatomy records from 2003 to 2015 in Bangui. A questionnaire was designed to collect information and data was analysed using descriptive and inferential statistical methods.

resultsThe mean age was 45.83 (SD = 13.5) years. The age group of 45-54 years represented the majority of the study population (29.3%). Over 69.5% of the women were housewives with a moderate economic status (56.9%). Less than 14% of the study population had a level of academic degree and 85.6% lived in cities. The breast cancer prevalence was 15.27%. The age-standardized incidence and death by world population (ASW) were 11.19/100,000 and 9.97/100,000 respectively. 50-54 years were most affected. Left breast cancer is mainly common and the time between first symptoms and consultation is more than 48 months. Most (69%) of the samples analysed were lumpectomy. The most common morphology of breast cancer was invasive ductal carcinoma (64.9%). Scarff Bloom Richardson III was the main grade in both common pathological types, but their proportion showed no significant increase along with time (χ2 = 7.06, p = 0.54). Invasion of regional lymph node differed significantly among the pathological type of breast cancer (χ2 = 24.6, p = 0.02). Surgery and chemotherapy were appropriate treatment yet 84.5% of the cases died.

conclusionThe findings of this study showed that breast cancer is common and mostly affected women. Epidemiological trends are more or less common to those of developing countries with a predominance of invasive ductal carcinoma. However, most of the women studied live in an urban area and developed the disease in advanced stage. The establishment of an appropriate framework will effectively contribute to promoting the early detection and reducing the incidence of this disease in the population.

Indexed as

AdultBreast NeoplasmsCentral African RepublicFemaleHumansIncidenceLymph NodesMiddle AgedPrevalenceRetrospective StudiesUrban PopulationBanguiBreast cancerCentral African RepublicEpidemiologyHistologyWomen

Identifiers

PMID27923361
PMCPMC5142143

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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.