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Open Access Library Journal
How to cite this paper: Mensah, A.C., Yarney, J., Nokoe, S.K., Opoku, S. and Clegg-Lamptey, J.N. (2016) Survival Outcomes
of Breast Cancer in Ghana: An Analysis of Clinicopathological Features. Open Access Library Journal, 3: e2145.
http://dx.doi.org/10.4236/oalib.1102145
Survival Outcomes of Breast Cancer
in Ghana: An Analysis of
Clinicopathological Features
Alice C. Mensah1*, Joel Yarney2, Sagary Kaku Nokoe3, Samuel Opoku4, J. N. Clegg-Lamptey5,6
1Mathematics and Statistics Department, Accra Polytechnic, Accra, Ghana
2National Centre for Radiotherapy and Nuclear Medicine, Korle Bu Teaching Hospital, Accra, Ghana
3Department of Mathematics, University of Energy and Natural Resources, Sunyani, Ghana
4Department of Radiography, School of Health Sciences, University of Ghana, Accra, Ghana
5Department of Surgery, University of Ghana School of Medicine and Dentistry, Accra, Ghana
6Department of Surgery, Korle Bu Teaching Hospital, Accra, Ghana
Received 2 January 2016; accepted 19 January 2016; published 22 January 2016
Copyright © 2016 by authors and OALib.
This work is licensed under the Creative Commons Attribution International License (CC BY).
http://creativecommons.org/licenses/by/4.0/
Abstract
Breast cancer is the most frequently diagnosed cancer and the leading cause of cancer death in fe-
male’s worldwide. Its incidence is on the ascendancy in Africa including Ghana. In addition, Gha-
naian women are more likely to be diagnosed with high-grade tumours that are triple negative
breast tumours. The objectives of the study were to investigate the clinicopathologic features of
breast cancer in Ghanaian women; identify and describe breast cancer survival pattern in Ghana and
factors that explain the disparity in survival rates for breast cancer by the use of Cox proportional
hazard. Two thousand three hundred and ninety seven (2397) women were sampled for the study
from the Korle-Bu Teaching Hospital (KBTH), of which 1022 (42.64%) were diagnosed with breast
cancer between the periods 1st January 2002 to 31st December 2008. The cases were followed up to
January 2011. It was found that Mean age for the cases was 47.97 years. The largest number of cases
being 59.69% was aged 40 - 49 years. Invasive Ductal Carcinoma (IDC) was 72.90%, 71.28% had
lump size of 2-5 cm. Axillary lymph node involvement was found in 90% of the women diagnosed
with breast cancer. 5-year cumulative survival was 91.94% for stage 0&I and 15.09% for stage IV.
Data relating to tumour grading were 92.07% for high grade 2 and 3. Triple negative breast cancer
was identified in 66.38% (77 out of 116) of the cases with complete information on Estrogen Recep-
tor, Progesterone Receptor and HER2 status. Cumulative 5-year survival was 47.91. Survival rate
was better for early staged presentation; lymph node involvement of less than 25% and tumour size
of less than 5 cm. The study reinforces the urgent need for improved screening techniques for early
detection, and for an aggressive health education campaign to increase the awareness of women in
Ghana about the potential risk of breast cancer and early detection by regular testing.
*Corresponding author.
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Keywords
Breast Cancer, Hormone Receptors, Survival Analysis, Tumour Size, Clinicopathological Features,
Diagnosing Stage, Cox Proportional Hazard
Subject Areas: Epidemiology
1. Introduction
Breast cancer is a malignant tumour in the glandular tissues of the breast. It is the most common type of life-
threatening cancer, and the second most common cause of cancer-related deaths of women in the Western world
[1]. In Ghana, breast cancer is now the most common malignant disease in women and accounts for the majority
of cancer related deaths [2] [3]. In 1996, 12.8% of all admissions for malignant neoplasms to the Korle Bu
Teaching hospital were for breast cancer [4]. This alarming state of affairs is due to many myths and misconcep-
tions about breast cancer. These include linking mastectomy to death, attributing spiritual and supernatural
causes to the disease, denial and guilt [5]. Reported clinical cases from some sub Saharan African countries in-
cluding Ghana indicate that breast cancer in indigenous black African women population is often aggressive
with unfavourable prognostic features, including young age at presentation, advanced stage at diagnosis, large
tumour size, high grade histologic subtypes and low rate of receptor positivity [6]-[10].
There are concerns about increasing rate of breast cancer among young people in Ghana. In addition to the
fact that the incidence of the disease appears to be on the increase, late presentation with poor outcomes of
treatment is the hallmark of breast cancer in most developing countries including Ghana [5]. It is also disturbing
that the average age at diagnosis for breast cancer in Ghana is 46.29 years with a range of 26 to 80 years as
compared to an average age of over 65 years in Europe and America [11]-[13]. Breast cancer is also an impor-
tant contributor of mortality among women in developing countries like Ghana. The results of survival analysis
for cancer patients have been widely presented and reported for different human sub populations of the globe
[14] [15].
The American Cancer Society cancer facts and figures, report that 98% of women survive breast cancer if it is
detected while it is 2 cm in diameter; 88% if it is detected while the tumour size is 2 to 5 cm and has spread to
axillary lymph nodes; 76% survive breast cancer if it is detected even over 5 cm in diameter and has not spread
to axillary lymph node [16].
However, very few survival results at national level are available for the female population of Ghana. The sta-
tistical evidence about the survival of the breast cancer patients at the KBTH is scanty in the literature. There-
fore, the study focused on identifying and describing breast cancer survival pattern in Ghana and also identifying
and evaluating the factors that could explain the disparity in survival rates for breast cancer in Ghana.
Breast cancer mortality rate is much higher among sub-Saharan women as compared to women in western
countries, even though the incidence is much higher in western women [17] [18]. Five-year relative survival
rates, standardised to the International Cancer Survival Standard [19], were calculated for patients aged 15 - 99
years diagnosed during the year 1990-1994. Breast cancer survival rates varied from over 80% in North America,
Sweden, Japan, Australia and Finland to less than 60% in Brazil and Slovakia and below 40% in Algeria. Most
European countries including Scotland, England, Ireland and Wales, had rates in the 70% - 79% range [20]. In
Europe, Office for National Statistics in 2005 reported that, breast cancer survival had improved over time and
inter-country survival differences were reducing. However, survival in the UK is far from the best and much
lower than reported in the US. The most recent breast cancer survival rates in England were for women diag-
nosed in 2001 to 2006. For this group of women, five-year relative survival was 82% compared with only 52%
thirty years earlier in the year 1971-1975, states [21]. The US department of health and human services (2009-
2010), stated the five year survival rate was 91% and 78% among white women and African American women
respectively, [22].
Although breast cancer may not be a priority to international aid organizations due to the enormity of other
health concerns, up to 70% of women who are diagnosed with breast cancer in Ghana happen to be in the ad-
vanced stages of the disease, resulting in a higher mortality rate compared to high-income countries [23]. In ad-
dition, a study has shown that Ghanaian women are more likely to be diagnosed with high-grade tumors that are
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triple negative breast tumor [24]. Explanations for the delayed presentation among Ghanaian women have been
traced to the cost of, and access to, routine screening mammography, lack of awareness, and cultural attitudes
[24]. Harsh social stigma, fear of mastectomy or death, and the appeal of traditional healers over doctors have
also been cited as some of the cultural reasons for late presentation of cases in Ghana [25]. Furthermore, women
with breast cancer in Ghana describe a feeling of hopelessness and helplessness, largely due to their belief in fa-
talism, which contributes to denial as a means of coping [25].
2. Methodology
2.1. Study Location
The study was carried out at the Korle Bu Breast Clinic and the National Centre for Radiotherapy and Nuclear
Medicine, both located in the Korle Bu Teaching Hospital (KBTH). KBTH is the leading national referral centre
in Ghana receiving patients from across the country, but mostly from the southern part. The Radiotherapy Cen-
tre serves as the cancer centre for the hospital. The Breast clinic, run by a multidisciplinary team, receives refer-
rals but is a walk-in clinic that admits women who desire to be screened for breast cancer without a formal referral.
2.2. Study Design
This was a retrospective cohort study of all Ghanaian women who reported at the Breast Clinic of the Korle Bu
Teaching Hospital (KBTH) and its cancer centre between January 2002 and December 2008.
2.3. Data Source
A questionnaire was used to collect data from patients’ medical files from the Records Section of the Cancer
centre of the KBTH. See Appendix A (Table A2) for sample schedule used in the data collection. Six variables
for prognostic factors were investigated stage at diagnosis, tumour grade, tumour size, axillary node status, age
at diagnosis, Estrogen Receptor (ER), Progesterone Receptor (PR) and Human Epidermal growth factor Recep-
tor 2 (HER2) status. The time (measured in months) to the death was used for the survival analysis.
2.4. Inclusion and Exclusion Criteria
All Ghanaian women who visited the National Centre for Radiotherapy and Nuclear Medicine and the walk-in
clinic for breast screening were eligible. Cases were required to have histologically proven breast cancer.
Patients with incomplete information, other malignancies (e.g. sarcomas) and aged less than twenty (20) years
were excluded.
2.5. Statistical Analysis
Descriptive statistics of frequencies and percentages was used to describe the categorical variables. Patients’
lifetime was calculated by month (the time span from day of diagnosis to death or termination of follow-up visit.
Data was analysed by SAS version 9.0 (Cary, NC 27513 USA). p-value < 0.05 was considered significant. The
survival rate was calculated by Kaplan Meier method. All indexes of survival rate difference were analyzed by
multiple factor Cox proportional hazard model.
2.6. Ethical Standards
This research has been assessed and approved by the School of Allied Health Sciences, University of Ghana
Ethics and Protocol Review Committee with identification number: SAHS-ET./AA/1A/2013-2014.
Patients consent was not sought, but the study was granted a waiver for informed consents by the committee,
due to the nature of the study and likelihood that many of the patients whose information we studied were now
deceased or lost to follow-up.
3. Results
3.1. Demographic Characteristics
Two thousand three hundred and ninety seven (2397) women were sampled for the study, of which 1022
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(42.64%) were diagnosed with breast cancer. Mean age was 47.97 years, see Appendix A (Table A1). Five
hundred and eighty one (581) out of 1022 (56.85%) were aged less than 50 years. The peak incidence was in the
40 - 49 age group (59.69%). The age range was 20 - 92 years. Of the 1022 women diagnosed of breast cancer,
66.14%, 20.35%, 7.14% and 6.36% were married, single, widowed and divorced respectively. The site of the
tumour on presentation was the left breast in 46.57% and right breast in 53.43% of cases. Invasive ductal carci-
noma (IDC) was the most common breast cancer type diagnosed, accounting for 72.90%, followed by other
types of cancers 12.52%. Invasive lobular carcinoma (ILC) was the next breast cancer type identified in the
study, representing 1.37% of the total diagnosis. There was no data for 13.21% of the women.
Breast feeding, late menarche, contraceptive usage, and time interval between age at menarche and age at
menopause were seen as variables decreasing the risk of breast cancer development. Later age at menopause on
the other hand increased the risk of breast cancer development. These variables were statistically significant.
Parity, family history and age at first child although increased the risk of breast cancer development, they were
found to be insignificant variables.
3.2. Tumour Characteristics
Lump size on presentation in 71.28% of the women was 2 - 5 cm, 4.46% had <2 cm tumours and in 24.26% tu-
mour size was >5 cm. Axillary lymph node involvement was found in 90% of the women diagnosed with breast
cancer when first seen by a physician; 89.20% had axillary lymph nodes of more than 25% involvement.
3.3. Clinical Stage
At the time of diagnosis 14.47% of the women had stage 0 & I, 33.17% were stage II, 47.16% stage III and 5.20%
stage IV. In all, 52.35% presented in the advanced stage (III and IV) whiles early stage presentation involved
47.65% of the women. Furthermore 57.76% of the patients with advanced disease were aged less than 50 years.
Tumour grade: The majority (80.72%) were grade 2, followed by grade 3 (11.35%) and grade 1 (7.93%).
There was information on hormone receptors for 309 women. Furthermore, there was information on 116
(37.54%) of the patients on HER2/neu protein receptors. Consistent with previous publication [26] [27], breast
cancer subtypes were defined as luminal A (ER positive and PR positive, HER2 negative), luminal B (ER posi-
tive and PR positive, HER2 positive), basal-like (ER negative, PR negative, HER2 negative) and HER2 type
(HER2 positive, ER negative, PR negative). Immunohistochemical analysis revealed that 22.41%, 24.14%, and
13.79% of tumors were positive for ER, PR, and HER2, respectively. Only 24.14% were luminal A or B, and
9.48% were HER2-positive/ER-negative subtype. Basal-like or triple negative breast cancer was identified in
66.38% of the cases with complete information on ER, PR and HER2 status (Table 1).
The Kaplan-Meier curve for overall survival by tumor subtype is shown in Figure 1. Subjects with the triple
negative subtype, ER/PR and HER2-neagive, had the worst overall survival of 50.80% as compared with the
other subtypes. Subjects in Luminal B had the best survival of 84.42% (Table 2).
3.4. Survival Analysis
A survival analysis was conducted in relation to the following factors: tumour size, lymph node involvement,
clinical stage, tumour grade, body mass index and age. Survival analysis showed 390 cancer-related deaths
(38.16%) among the 1022 subjects in the study. The mean survival time was 4.59 years (55.13 months). The
5-year overall survival was 47.9%. The survival curve is shown in Figure 2.
Table 1. Some clinicopathologic characteristics by subtypes.
Tumour Subtype Frequency % Frequency Group
ER+/PR+/HER− 22 18.97% Luminal A
ER+/PR+/HER+ 4 3.45% Luminal B
ER−/PR−/HER+ 11 9.48% Her 2 Type
ER−/PR−/HER− 77 66.38% Triple Negative
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Table 2. Five-year overall survival by tumour subtype and ER/PR status.
Subtype Overall Survival 95% CI
Luminal A 59.48% 50.57 - 68.38
Luminal B 84.42% 72.25 - 96.58
Triple Negative 50.80% 31.50 - 67.20
Duration (months)
20
1.0
0
0.8
0.6
60
0.4
0.2
0.0 80
40
Probabilities
Luminal A
Triple Negative
Luminal B
Kaplan Meier Survival curve by Subtype
Figure 1. Kaplan meier survival cure by subtypes.
In lymph node involvement of less than or equal to 25%, cumulative survival was 63.26% for 52 months
(4.33 years). Lymph node involvement of more than 25% at diagnosis gave 5-year cumulative survival of
46.03%. The Log rank test indicates significant differences between the two groups. Cumulative survival for
cases diagnosed with lump size 2 - 5 cm, was 52.30% and for lump size >5 cm, the rate was 33.31%.
Cancer staging was done using the American Joint Committee on Cancer (AJCC) 2002 system. Among 148
cases diagnosed in stage 0 & I, cumulative survival was 91.94% and for the 339 cases diagnosed in stage II,
59.93%. The 428 stage III cases had a rate of 33.95% and for the 53 stage IV cases, 15.09%. Breast cancer mor-
tality was correlated to the stage at diagnosis. Testing equality among the groups, p value of 0.000 for both tests
indicated significance (Table 3).
The tumours studied were graded using the modified Bloom-Richardson system. Tumour grade 1 had 5-year
cumulative survival rate of 49.32%, grade 2 was 48.83% and grade 3, 40.87%. A difference among tumour
grades was not significant. Further analysis showed no significant difference between the age groupings as far as
survival was concerned. The survival rate was 48.05% for women less than 50 years and 47.98% for age group
50 and above, supported by the test statistic with p-values above the 0.05 significance level. A 5-year survival
for histological types indicated that, there was a significant difference in survival rates of 42.95% for patients
diagnosed with IDC as compared to 65.03% for other breast cancer types.
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Figure 2. Kaplan Meier survival curve for breast cancer cases.
Table 3. Multivariate 5-year survival analysis of the breast cancer patients.
Variables Breast
Cancer cases Breast Cancer
survivors Survival rate Test of Equality
Log rank Wilcoxon
Axillary Node (AN)
7.4 (0.0064) 7.0 (0.0081)
0 = (≤25%) 110 86
1 = (>25%) 912 546 46.03
Tumour Size (TS)
19.13 (0.0001) 14.038 (0.0009)
0 = <2 cm 47 34 -
1 = 2 - 5 cm 714 462 52.3
2 = >5 cm 261 136 33.31
Stage (ST)
133.18 (0.000) 103.21 (0.000)
0 = 0 & I 148 142 91.94
1 = II 339 238 59.93
2 = III 482 247 33.95
3 = IV 53 5 15.09
Tumour Grade
2.00 (0.367) 0.435 (0.805)
1 81 51 49.32
2 825 515 48.83
3 116 66 40.87
3.5. Proportional Hazard Model
The Cox proportional hazard model is estimated in this section and the effects of covariates on survival are pre-
sented in terms of hazard ratios.
From Table 4, three variables met the 0.05 criterion for statistical significance: tumour size, stage at first
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Table 4. Cox regression analysis of 5-year survival for all patients by prognostic factors.
Variable DF Β Standard Error χ2 p value eβ
TS 1 0.39 0.177 4.84 0.028 1.48
Age 1 0.0005 0.008 0.004 0.947 1.00
ST 1 0.488 0.126 15.04 0.000 1.63
GR 1 0.203 0.205 0.98 0.322 1.23
AN 1 0.932 0.421 4.911 0.027 2.54
diagnosis and axillary node involvement. The estimated hazard ratio eβ is the expected survival time for the
groups. Thus, controlling for other covariates, the expected time for one diagnosed of an advanced stage breast
cancer to die was 63% greater than for those in the early stage. The expected time to die for those with tumour
size greater than 5 cm was 48% greater than those with tumour size less than or equal to 5 cm. For axillary node
involvement, the risk of death was 154% higher for those with more than 25% node involvement than those with
25% or less involved. Age at diagnosis has no effect on survival or death of the patient. This is due to the hazard
ratio being equal to 1. Thus the risk of dying is assumed to be the same for all ages at diagnosis. This result is
supported at 5% level of significance. From the results women with higher tumour grading faces a 23% (p =
0.322) higher risk of dying than those with lower tumour grade.
4. Discussion
The mean age of breast cancer patients from the study was 47.97 years, consistent with another study from the
subregion [28]. The age range was 20 - 92, with the highest incidence occurring in age group 40 - 49 years, con-
sistent with previous studies from Ghana [9]. This indicates that, that Ghanaian women present breast cancer at a
significantly younger age as compared to women in the developed world [29] [30].
A survival analysis showed 390 cancer-related deaths (38.16%) among the 1022 subjects in the study. The
overall survival for all subjects was 47.91% after 5 years which is consistent with a previous study [31] in India.
In England women diagnosed with breast cancer in 2001 to 2006 had a five-year survival rate of 82% [21]. Ac-
cording to US Department of Health and Human Services (2009-2010), five year survival rate was 91% and 78%
for white women and African American women respectively [22]. Tumour size was found to be a significant va-
riable with a p value of 0.0001. The expected time to die for those with tumour size greater than 5 cm is 48%
greater than those with tumour size less than or equal to 5cm. Thus the smaller the tumour size the better the
prognosis. With lymph node involvement, there was a significant difference between the two groups at p =
0.0003. The hazard ratio was 2.54, meaning the risk of death was 154% higher for those with more than 25%
node involvement as against those with 25% or less involvement.
Data relating to the clinical stages of breast cancer on first diagnosis showed that 52.35% of the women pre-
sented at the advanced stages (III and IV) whiles early stage presentation involved 47.65%. This is consistent
with some studies done in Ghana [9] [32] [33] and Africa [34] [35]. Breast cancer mortality was found to be
correlated to the stage at diagnosis. Testing equality among the groups, at a p value of 0.000 indicated signific-
ance. Considering the staging in terms of early and advanced, gave a hazard ratio of 1.63. Thus, controlling for
other covariates, the expected time to death for breast cancer patients who were diagnosed with advanced stage
cancer was 63% greater than those with early stage. Differences among tumour grading were not significant as
the p value was 0.3667 from Log rank statistics. From the results, women with higher tumour grading faced a
22.50% higher risk of dying than those with lower tumour grade. However the results were not supported at 5%
significant level.
Age at diagnosis has no effect on survival or death of the patient according to the study. This was due to the
hazard ratio being equal to 1. Thus the risk of dying was assumed to be the same for all ages at diagnosis. 5-year
survival for histology indicated that, there was a significant difference in survival rates of 42.95% for patients
diagnosed with IDC as compared to 65.03% for other breast cancer types. The implication is that, a woman di-
agnosed of a cancer type other than IDC, has a better chance of surviving five years or more.
Triple negative breast cancer was identified in 66.38% of the cases with complete information on ER, PR and
HER2 status, which is consistent with earlier studies done. Breast cancer in African women tend to be the ag-
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gressive triple negative subtype, [24] [36] similar to those observed in African-American women in the US, and
is non-responsive to commonly used therapeutic drugs.
5. Conclusions
Women with bigger tumour size faced a higher risk of dying than the risk faced by those with smaller tumour
size. The study’s results indicate that early stage breast cancer patients suffer a lower risk of death than the risk
suffered by advanced stage breast cancers. As a component of cancer staging, axillary node proved to be a sig-
nificant predictor of survival with more than 25% involvement having less chance of survival. Age failed to ex-
plain the survival differences of the women. Contrary to the view that tumour grade has a positive influence on
survival, the results from this study showed that tumour grade was an insignificant variable. There was a signif-
icant difference in survival rates for patients diagnosed with IDC (who faced a lower risk of survival) compared
to patients with other breast cancer types. Again 47.91% of the women will survive after 5 years of being diag-
nosed with the disease.
The study reinforces the urgent need for improved screening techniques for early detection, and for an ag-
gressive health education campaign to increase the awareness of women in Ghana about the potential risk of
breast cancer and early detection by regular testing.
Acknowledgements
We are thankful to the radiotherapy staff of the Korle-bu Teaching Hospital, who provided us with all the mate-
rials that we required for this study and for giving us the permission to browse through the files for the collec-
tion of the data. We also would like to acknowledge Messers E. Enchil, Philip Oduro, Isaac Aidoo and Mr. Asi-
hene for their devoted work during data collection.
Limitations of Study
Many of the cases in our study had incomplete data related to clinical staging, tumour characteristics and hor-
mone receptors. There is clearly a need to improve documentation of clinical data in patients’ medical records.
Survival analysis did not take into account any form of treatment (surgery, radiotherapy, neoadjuvant and adju-
vant chemotherapy and herceptin. Another limitation is that we did not include proliferation index Ki 67 in the
subtypes of breast cancer because the information was not available.
Competing Interests
The authors or our various institutions have no conflicts of interest which includes financial or personal rela-
tionships.
Author’s Contribution
Dr. Alice C. Mensah: Defining the Concept and Research Design; Literature search; Data acquisition and analy-
sis; Manuscript preparation, review, editing and submission Dr. Joel Yarney: Defining the Concept and Re-
search Design; Literature search; Data acquisition and analysis; Manuscript preparation, review and editing. Prof.
Kaku S. Nokoe: Defining the Concept and Research Design; Literature search; Data acquisition and analysis;
Manuscript preparation, review and editing. Dr. Samuel Yaw Opoku: Defining the Concept and Research De-
sign; Literature search; Data acquisition and analysis; Manuscript preparation, review, editing and submission
Dr. JN Clegg-Lamptey: Defining the Concept and Research Design; Literature search; Data analysis; Manu-
script, preparation, review and editing All the authors read and approved the final version of the manuscript.
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Abbreviations
AJCC: American Joint Committee on Cancer
ER: Estrogen Receptor
HER2: Human Epidermal growth factor Receptor 2
PR: Progesterone Receptor
IDC: Invasive Ductal Carcinoma
ILC: Invasive lobular carcinoma
KBTH: Korle-Bu Teaching Hospital
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Appendix A
Table A1. Descriptive statistics of some risk factors for all the women.
All women = 2397 AG AFC MN MP PT APM
Minimum 20 12 9 25 0 8
Mean 43.51 23.83 15.17 47.55 2.47 32.38
Median 43 24 15 48 2 33
IQR 18 5 2 0 3 4
Maximum 92 46 26 60 12 45
Standard Dev. 12.72 4.7 2.03 3.55 2.31 4
Skewness 0.34 0.72 0.65 −1.47 0.89 −1.21
Kurtosis −0.17 1.6 3.17 5.71 0.8 3.78
AG—Age at first visit, AFC—Age at first child, MP—Age at Menopause, APM—Age interval between Menarche and Menopause, MN—Age at
Menarche, PT—Parity.
Table A2. Schedule for breast cancer patients.
SN Patients
ID Age MN MP AFC PT FH CTRP AL BF AMP WT HT DG Prognostic Factors ER PR ST D/L
AN TS TL GR