Literature DB >> 26171932

Long-term subjective cognitive functioning following adjuvant systemic treatment: 7-9 years follow-up of a nationwide cohort of women treated for primary breast cancer.

A Amidi1, S Christensen1, M Mehlsen1, A B Jensen2, A D Pedersen3, R Zachariae1.   

Abstract

BACKGROUND: There is growing concern among breast cancer (BC) patients and survivors about cognitive impairment following systemic treatments. The aim of the present study was to investigate the long-term effects of standard systemic adjuvant therapies on subjective cognitive impairment (SCI) in a large nationwide cohort of BC survivors 7-9 years after primary surgery.
METHODS: Participants were recruited from the nationwide Psychosocial Factors and Breast Cancer inception cohort of Danish women treated for primary BC. SCI was assessed with the Cognitive Failures Questionnaire and women allocated to systemic treatment according to nationwide standard protocols were compared with women who had not received any systemic treatments.
RESULTS: A total of 1889 recurrence-free survivors were eligible for analysis. No difference in SCI was found between survivors across standardized systemic treatment protocols when analyses were stratified by menopausal status and adjusted for possible sociodemographic and treatment-related confounders. The frequency of significant SCI in a subgroup of survivors in the age range 65-74 years was ∼7%.
CONCLUSIONS: No differences in long-term SCI at 7-9 years post surgery were found between women who had received systemic therapies and those who had not. Furthermore, the observed proportion of survivors with significant SCI was comparable to normative data. These results are important to communicate to patients, survivors, and clinicians alike, especially in the light of increasing concern about cognitive impairment following systemic therapies.

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Year:  2015        PMID: 26171932      PMCID: PMC4559822          DOI: 10.1038/bjc.2015.243

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


There is growing concern among breast cancer (BC) patients and survivors regarding possible cognitive impairment following systemic treatments (Van Londen ). Reports of subjective cognitive impairment (SCI) following cancer treatment are frequent among BC patients (Pullens ; Ganz ). In contrast, results from neuropsychological studies of impairment of cognitive functions have been inconsistent (Jenkins , 2008; Mehlsen ; Yamada ; Koppelmans ), and although SCI and neuropsychological outcomes are usually poorly correlated (Pullens ; Hutchinson ), understanding the course and causes of SCI is relevant due to its potential impact on survivors' quality of life and daily functioning (Boykoff ; Reid-Arndt ; Von Ah ). A systematic review found SCI rates in BC populations to range from 20 to 90%, but the available evidence regarding the association between SCI and systemic BC treatment was inconclusive (Pullens ). The majority of studies included in the review included participants ranging from 0 to 5 years in time since treatment, and most studies were based on small samples (N<100). Only little is known about the possible long-term effects (+5 years) of systemic therapies on SCI in BC. A limitation of most of the existing studies has been their primary focus on chemotherapy (CT). Given the heterogeneity of BC treatment with the application of different treatment protocols and modalities, it remains unclear to what extent cognitive impairments may be caused by the CT itself, or by other treatment modalities (Pullens ). For example, oestrogen receptor-positive patients usually receive endocrine therapy (ET) for a period of 5 years. Endocrine therapies suppress tumour growth by either reducing oestrogen levels, or by blocking oestrogen sensitive receptors (Buwalda and Schagen, 2013). Oestrogen receptors have been located in different brain regions (McEwen and Alves, 1999) and ET may thus have a direct effect on the brain. Studies in non-cancer populations have observed an association between menopause transitioning women and cognitive functions (Weber ). A recent study found that over 50% of BC survivors who were or had previously been treated with adjuvant ET were concerned about late-effects such as cognitive dysfunction (Van Londen ). However, most studies investigating SCI in survivors receiving ET have focused on the short-term effects (Shilling and Jenkins, 2007; Ribi ; Schilder ; Kilickap ; Ganz ), and thus very little is currently known about the possible long-term impact of ET on SCI. Furthermore, the heterogeneity of BC treatment remains a methodological challenge, and due to inadequate statistical power in most studies, combined effects of adjuvant treatments (CT+ET) are generally poorly investigated (Buwalda and Schagen, 2013). The aim of the present study was to investigate the long-term effects of standard systemic treatment protocols on SCI in a large nationwide cohort of BC survivors 7–9 years after primary treatment adjusted for potential confounders. We hypothesised that survivors allocated to treatment with CT, ET, or a combination of the two, would report higher levels of SCI compared with women who had not received adjuvant treatment. A secondary aim was to investigate the overall level of SCI in a subgroup of BC survivors for whom comparable normative data were available.

Materials and Methods

Data sources

Participants were recruited from the nationwide Psychosocial Factors and Breast cancer (PFAB) inception cohort of 4917 Danish women treated surgically for primary BC between October 2001 and March 2004. The PFAB cohort was established in collaboration with the Danish Breast Cancer Cooperative Group (DBCG) and details concerning the cohort have previously been published (Christensen ). Eligible women were informed about the study at the surgical departments, and the Charlson Comorbidity Index (Charlson ) was completed for each patient.

Registry data

Addresses, Danish Civil Registration personal identification numbers, and data concerning eligibility, comorbidity, histopathology, and treatment-related variables were obtained directly from the surgical departments responsible for treating BC in Denmark during the inclusion period, as well as from the DBCG registry. All departments in Denmark involved in the treatment of BC patients systematically report information on diagnosis, treatment, and follow-up to the DBCG database and an estimated 97% of all eligible women having had surgery for primary BC in Denmark during the study period were identified (Rostgaard ). Pre-cancer data on demographic factors, psychiatric history, ethnicity and socioeconomic variables were obtained from the nationwide Danish longitudinal registries through a linkage serviced by Statistics Denmark (Thygesen ). Data from the different sources were linked using the women's personal identification numbers, a 10 digit unique number, including date of birth, used by all public registration systems. Danish ethnicity was defined as Danish citizenship, having been born in Denmark, and at least one parent being a Danish citizen. Psychiatric history was defined as previous in- or outpatient psychiatric treatment recorded until 1-month pre-surgery. For the present study information on disease stage at time of cohort enrolment, subsequent recurrence and secondary cancers, and treatment protocol assignment was updated through a linkage to the DBCG database and the Danish Cancer Registry. The Danish Cancer Registry includes data on the incidence of cancer in the Danish population since 1943 (Gjerstorff, 2011).

Eligibility

Eligible patients were women between 18 and 70 years of age at time of surgery, Danish residents, with histologically confirmed BC T1-3, N0-3, and M0 according to the TNM (Tumour, Node, Metastasis) classification (Singletary ) and no history of previous cancers, except non-melanoma skin cancer or carcinoma in situ of the cervix uteri. Other criteria were ability to read Danish and being capable of completing a questionnaire. In the present study, women <35 years of age (N=33) at time of primary surgery were excluded because all women in this age group are allocated to systemic therapy. Based on updated information from DBCG and the Danish Cancer Registry, women with secondary cancer or recurrence were also excluded at the 7–9 year follow-up, as well as women who had not been treated according to a DBCG standard protocol or who had been treated according to protocols not corresponding to their menopausal status at the time of primary surgery.

Questionnaire cohort

All eligible women were informed about the study at the surgical departments and consecutively mailed a questionnaire package 3–4 months post surgery. A total of 3343 women (68.0%) returned the questionnaire and constituted the questionnaire cohort. A second assessment was conducted at a 15-month follow-up (O'Connor ), and finally between June and August 2011, a 7–9 year follow-up questionnaire package was mailed out to all members of the questionnaire cohort. Two reminders were sent after 3 and 6 weeks to those participants who had not yet returned the questionnaire package.

Systemic treatment protocols

During the study period, the DBCG standard protocols 2001A–E and 2004C for adjuvant therapy were effective. The different protocols (A–E) and related treatment details are presented in Table 1. For postmenopausal women in protocol C, sequential treatment with Exemestan together with Tamoxifen was introduced in DBCG protocol 2004C from June 2004. Some of the first women included from this protocol have therefore been treated with Tamoxifen for up to ∼3.5 years before the initiation of Exemestane treatment (2.5 years).
Table 1

Systemic treatment protocols (A–E) grouped by menopausal status

GroupProtocolTreatmentDetails
Premenopausal (N=751)A No adjuvant treatment
 BCT+ET7 cycles of CEF+tamoxifen (20 mg)a
 DCT7 cycles of CEF
Postmenopausal (N=1138)A No adjuvant treatment
 CETTamoxifen (20 mg)+exemestane (25 mg)b
 ECT7 cycles of CMF

Abbrevaitions: CEF=cyclophosphamide, epirubicin, and fluorouracil; CMF=cyclophosphamide, methotrexate, and fluorouracil; CT=chemotherapy; ET=endocrine treatment.

Duration of 5 years.

Sequential treatment with a duration of 2.5 years of Tamoxifen followed by 2.5 years of Exemestane.

Subjective cognitive impairment

SCI was assessed at the 7–9 year follow-up. The 25-item Cognitive Failures Questionnaire (CFQ) assesses self-reported cognitive slips and failures in daily activities during the past 6 months (Broadbent ). Each item is rated from 0 to 4 with the total score calculated as the sum of all items ranging from 0 to 100 with higher scores indicating higher levels of cognitive failures. The CFQ has been shown to have good psychometric properties with evidence of criterion validity (Broadbent ; Bridger ). We also calculated scores for the three individual CFQ factors as reported by Rast : forgetfulness, distractibility, and false triggering. Cognitive Failure Questionnaire normative data were obtained from a geriatric population (range: 64–73 years) from New Zealand (Knight ).

Ethical approval

The study was approved by The Regional Science-Ethical Committees and The Danish Data Protection Agency.

Statistical Analysis

Differences in sociodemographic and clinical variables were tested with χ2-tests for categorical variables and univariate ANOVAs for continuous measures. CFQ total scores were calculated for all women with an item response rate ⩾50% using mean substitution of missing items. ANOVAs were conducted to assess the unadjusted associations between the treatment protocols and CFQ total and factor scores in the total sample. Using ANCOVA, the comparisons were repeated with stratification by menopausal status and adjustment for sociodemographic (age, education, ethnicity, marital status, parental status, personal income, household wealth, occupational status, comorbidity, and psychiatric status), and clinical (time since surgery, type of surgery, and radiotherapy status) covariates. Because sociodemographic factors have been found to be associated with advanced disease progression (i.e., tumour stage) at the time of diagnosis (Dalton ), it is important to adjust for these factors, as they may potentially confound the relationship between systemic treatments and SCI. We hypothesised (planned contrast) that survivors from protocol A (no adjuvant treatment) would score lower on the CFQ compared with survivors from protocols B–E, which included CT, ET, or both. The stratification by menopausal status was necessary in order to eliminate the possible confounding effect of age. This approach was chosen because menopausal status at the time of diagnosis (and thereby indirectly age) partly determined protocol allocation with a higher proportion of premenopausal patients receiving CT, and because a statistically significant negative association was observed between age and CFQ score. In addition, menopause may itself be related to the experience of cognitive issues (Sullivan Mitchell and Fugate Woods, 2001). Thus for the premenopausal group, protocol A (no adjuvant treatment) was contrasted with protocol D (CT) and B (CT+ET), while in the postmenopausal group, protocol A (no adjuvant treatment) was contrasted with protocol E (CT) and C (ET). To test whether the overall level of SCI was higher than could be expected, we compared the CFQ mean score from a normative population ranging between 63 and 74 years in age with BC survivors in the corresponding age range with a one-sample t-test. In addition, the proportion of survivors with significant SCI was determined as the frequency of survivors with a CFQ total scores exceeding 1 s.d. above the mean of the normative population. This criteria for significant SCI has been used in a previous study (Ganz ). The STROBE guidelines for reporting epidemiological studies were followed (Vandenbroucke ). All statistical analyses were performed using SPSS version 19.0.0.1 (IBM SPSS Inc., Chicago, IL, USA).

Results

A total of 1889 long-term BC survivors were considered eligible for analysis (see Figure 1). Mean substitution of missing CFQ items were performed for 66 (3%) women. Mean overall age was 63.3 years (s.d.=8.2; median=64.0; range=43.3–79.7 years) with an average of 8.4 years since initial surgery (range: 7.2–9.8 years). The majority were of Danish ethnicity (97%), had an upper secondary education or higher (71%), were occupationally engaged (70%), and were either married or cohabiting (78%) in the year prior to year of primary surgery. At the time of surgery, 39.8% were pre-menopausal. At the time of the 7–9 year follow-up, a total of 777 women (41.1%) had received CT consisting of either seven cycles of CEF, or seven cycles of CMF. Adjuvant ET had been administered to a total of 1234 (65.3%) women and consisted of either 5 years of treatment with Tamoxifen (20 mg) for pre-menopausal women, or a combination of 2.5 years of treatment with Tamoxifen (20 mg) followed by 2.5 years of treatment with Exemestane (25 mg) for postmenopausal women. Demographic, socioeconomic, and clinical variables for the pre- and postmenopausal women are presented in Table 2. In the premenopausal group, differences in demographic variables between participants allocated to different protocols were observed for age, time since surgery, and mean household net-wealth. No differences were observed in the postmenopausal group (see Table 2).
Figure 1

Flowchart of selection of patients.

Table 2

Sociodemographic and clinical variables by menopausal status and standard treatment protocol for systemic therapy (A–E)a

 Premenopausal survivors (N=751)
Postmenopausal survivors (N=1138)
ProtocolA (−CT/−ET)D (CT)B (CT+ET)P-valuebA (−CT/−ET)E (CT)C (ET)P-valueb
N (%)139 (18.5)104 (13.9)508 (67.6) 247 (21.7)165 (14.5)726 (63.8) 
Sociodemographics, mean (s.d.)
Age (years)56.4 (4.1)54.6 (5.3)55.1 (4.8)0.00568.9 (5.0)68.2 (4.6)68.7 (5.0)0.39
Time since surgery (years)8.3 (0.68)8.5 (0.69)8.5 (0.68)0.0158.4 (0.70)8.5 (0.64)8.4 (0.67)0.64
Income (in 10 000 US$)c5.2 (3.1)4.6 (1.7)4.7 (2.0)0.083.7 (2.0)3.7 (2.1)3.6 (2.0)0.62
Mean household wealth (in 10 000 US$)c7.2 (15.7)3.2 (10.5)4.6 (9.5)0.0118.9 (12.8)8.0 (12.5)9.9 (19.6)0.42
Ethnicity, N (%)   0.33   0.18
 Native133 (95.7)102 (98.1)490 (96.5) 245 (99.2)161 (97.6)705 (97.1) 
 Immigrant or descendant6 (4.3)1 (1.0)17 (3.3) 2 (0.8)4 (2.4)21 (2.9) 
Education, N (%)   0.34   0.88
 Graduate degree (⩾18 years)12 (8.6)11 (10.6)31 (6.1) 7 (2.8)7 (4.2)24 (3.3) 
 <Graduate degree (14–17 years)37 (26.6)34 (32.7)168 (33.1) 51 (20.6)31 (18.8)148 (20.4) 
 Upper secondary (11–13 years)66 (47.5)35 (33.7)201 (39.6) 95 (38.5)72 (43.6)297 (40.9) 
 Secondary (8–10 years)18 (12.9)19 (18.3)88 (17.3) 34 (13.8)16 (9.7)76 (10.5) 
 Lower secondary (7 years)5 (3.6)4 (3.8)15 (3.0) 58 (23.5)37 (22.4)173 (23.8) 
Occupational status, N (%)   0.63   0.45
 Employee–medium/upper level61 (43.9)44 (42.3)215 (42.3) 56 (22.7)36 (21.8)147 (20.2) 
 Employee–basic level73 (52.5)52 (50.0)248 (48.8) 72 (29.1)67(40.6)263 (36.2) 
 Unemployed, recipient of benefits, etc.4 (2.9)4 (3.8)28 (5.5) 70 (28.3)36 (21.8)192 (26.4) 
 Old age pension 20 (8.1)9 (5.5)51 (7.0) 
 Early retirement pension1 (0.7)3 (2.9)15 (3.0) 29 (11.7)17 (10.3)73 (10.1) 
Marital status, N (%)   0.23   0.92
 Married/cohabiting108 (77.7)89 (85.6)398 (78.3) 191 (77.3)129 (78.2)557 (76.7) 
 Divorced/not cohabiting31 (22.3)15 (14.4)110 (21.7) 56 (22.7)36 (21.8)169 (23.3) 
Children, N (%)   0.12   0.11
 No21 (15.1)7 (6.7)67 (13.2) 31 (12.6)11 (6.7)65 (9.0) 
 Yes118 (84.9)97 (93.3)441 (86.8) 216 (87.4)154 (93.3)661 (91.0) 
Clinical variables
Radiotherapy, N (%)   0.002   <0.001
 No42 (30.2)22 (21.2)86 (16.9) 79 (32.0)45 (27.3)115 (15.8) 
 Yes97 (69.8)82 (78.8)422 (83.1) 168 (68.0)120 (72.7)611 (84.2) 
Receptor status, N (%)   <0.001   <0.001
 Estrogen positive137 (98.6)505 (99.4) 242 (98.0)724 (99.7) 
 Estrogen negative2 (1.4)104 (100) 5 (2.0)165 (100) 
Axillary status, N (%)   <0.001   <0.001
 No lymph node involvement139 (100)53 (51.0)196 (38.6) 247 (100)99 (60.0)267 (36.8) 
 Lymph node involvement51 (49.0)312 (61.4) 66 (40.0)459 (63.2) 
Tumour grade, N (%)   <0.001   <0.001
 Grade 187 (62.6)1 (1.0)109 (21.5) 159 (64.4)6 (3.6)160 (22.0) 
 Grade 218 (17.3)241 (47.4) 53 (32.1)376 (51.8) 
 Grade 371 (68.3)77 (15.2) 76 (46.1)81 (11.2) 
 Non-ductal tumour49 (35.3)12 (11.5)76 (15.0) 82 (33.2)29 (17.6)109 (15.0) 
 Missing3 (2.2)2 (1.9)5 (1.0) 6 (2.4)1 (0.6) 
Surgery type, N (%)   <0.001   <0.001
 Mastectomy42 (30.2)51 (49.0)282 (55.5) 84 (34.0)91 (55.2)398 (54.8) 
 Lumpectomy97 (69.8)53 (51.0)226 (44.5) 163 (66.0)74 (44.8)328 (45.2) 
Charlson comorbidity index, N (%)   0.83   0.29
 No comorbidity131 (94.2)99 (95.2)473 (93.1) 220 (89.1)153 (92.7)641 (88.3) 
 Comorbidity (CCI score ⩾1)8 (5.8)5(4.8)32 (6.3) 26 (10.5)12 (7.3)83 (11.4) 
Psychiatric history, N (%)
 No psychiatric history129 (92.8)101 (97.1)477 (93.9)0.34228 (92.3)157 (95.2)683 (94.1)0.46
 Psychiatric history10 (7.2)3 (2.9)31 (6.1) 19 (7.7)8 (4.8)43 (5.9) 

Abbrevaitions: ANOVA=analysis of variance; CCI=Charlson comorbidity index; CEF=cyclophosphamide, epirubicin, and fluorouracil; CMF=cyclophosphamide, methotrexate, and fluorouracil; CT=chemotherapy; ET=endocrine treatment; NAT=no adjuvant treatment.

Danish Breast Cancer Cooperative Group (DBCG) standardized protocols: A=NAT; B (CT+ET)=seven cycles of CEF+tamoxifen; C (ET)=tamoxifen+exemestane; D (CT)=seven cycles of CEF; E (CT)=CMF. Missing observations ⩽1% not shown.

Groups were compared with univariate ANOVA for continuous variables and chi-square tests for categorical variables; all tests were two-sided.

The amounts were converted from Danish Kroner to US$ based on the exchange rate per 31 December 2003. A full description has been published elsewhere (Christensen ).

Protocol allocation did not differ between eligible postmenopausal participants and nonparticipants from the entire cohort (N=3304) at 7–9 year follow-up, but a higher proportion of participants in the premenopausal group were allocated to protocol D compared with nonparticipants, (χ2 (2)=6.4, P=0.04, data not shown). The attrition rate from 3 months to 7–9 years follow-up was low (9.6%), and there was no statistically significant difference between non-responders and responders at the 7–9 year follow-up regarding treatment protocol allocation when stratified by menopausal status (premenopausal, P=0.99; postmenopausal, P=0.44, data not shown).

Cognitive Failures Questionnaire

The CFQ revealed high inter-item consistency (Cronbach's alpha=0.92) in the current sample. The distribution of the CFQ and other relevant covariates were formally tested and visually inspected with P–P plots and frequency histograms and appeared to be normally distributed. The mean total CFQ score for the entire sample was 31.4 (s.d.=12.7). A significant difference was observed between pre- (M=33.1, s.d.=13.5) and postmenopausal survivors (M=30.3, s.d.=12.0; t(1887)=4.7, P<0.001). CFQ was negatively associated with age (r=−0.13, P<0.001).

CFQ and treatment protocols

Unadjusted and unstratified comparisons of the treatment protocols initially revealed a significant difference (F(11 884)=5.66, P<0.001) with women from protocols B and D (both including treatment with CEF CT) scoring higher on CFQ total compared with women from protocol A (no adjuvant treatment; both P<0.05). These results were consistent for all CFQ factor scores (all P<0.01). To eliminate potential confounding by age, subsequent planned comparisons were stratified by menopausal status and adjusted for other potentially confounding sociodemographic and treatment -related variables. These analyses revealed no differences in SCI between women allocated to protocol A, and those allocated to protocol B or D in the premenopausal group. Similarly, in the postmenopausal group, women allocated to protocol A did not significantly differ from women allocated to protocol C or E. Furthermore, no differences were found for any of the individual CFQ factor scores. All unadjusted and adjusted analyses of CFQ total and factor scores are presented in Table 3.
Table 3

Subjective Cognitive Impairment (CFQa total and factor scores) 7–9 years post surgery of women treated for primary breast cancer, presented by menopausal status and standard treatment protocols (A–E) for systemic therapy

 Premenopausal at time of surgery, mean (s.d.; n=751)
Treatment ProtocolbA (−CT/−ET) Mean (s.d.)D (CT) Mean (s.d.)B (CT+ET) Mean (s.d.)Unadjusted A vs D/A vs B P-valueFully adjustedc A vs D/A vs B P-value
N (%)139 (18.5)104 (13.9)508 (67.6)  
CFQ total score32.4 (12.8)34.4 (13.9)33.0 (13.7)0.26/0.670.32/0.66
Forgetfulness13.3 (4.9)14.2 (5.5)13.6 (5.4)0.17/0.500.19/0.51
Distractibility10.2 (4.6)10.6 (4.7)10.2 (4.5)0.55/0.950.60/0.89
False triggering8.1 (4.3)8.7 (4.7)8.3 (4.5)0.30/0.710.44/0.85

Abbrevaitions: CEF=cyclophosphamide, epirubicin, and fluorouracil; CFQ=Cognitive Failures Questionnaire and subscales; CMF=cyclophosphamide, methotrexate, and fluorouracil; CT=chemotherapy; ET=endocrine treatment.

Broadbent ; Rast .

Danish Breast Cancer Cooperative Group (DBCG) standardized protocols: A=no adjuvant treatment (−CT, −ET); B (CT+ET)=seven cycles of CEF+tamoxifen; C (ET)=tamoxifen+exemestane; D (CT)=seven cycles of CEF; E=CMF.

Fully adjusted for age, time since treatment, education, marital status, children, mean personal income, mean household income, occupational status, comorbidity, ethnicity, psychiatric history, surgery type, and radiotherapy.

CFQ and normative data

Knight reported a mean CFQ total score of 31.2 (s.d.=11.2) for a healthy normative group (N=161) in the age range of 65–74 years. In the present study, women in the corresponding age range (65–74 years, n=680) reported a CFQ mean of 29.62 (s.d.=11.1), which is not statistically different from the normative sample mean (t(839)=1.62, P=0.11). Using the normative data above and the criteria described in the Materials and Methods section, a CFQ total score above 42.4 was considered to indicate significant SCI. In total, 7.3% of BC survivors in the corresponding age range exceeded this cutoff score and were accordingly classified as experiencing significant SCI.

Discussion

The primary aim of the present study was to investigate possible long-term effects of systemic treatments on SCI in BC survivors allocated to standard treatment protocols. We hypothesised that women allocated to protocols that included adjuvant medical treatments would report higher levels of SCI compared with those who had not received adjuvant treatment. Initially, this hypothesis was confirmed in the unstratified analyses. However, when the necessary stratification by menopausal status due to the potential confounding effect of age was applied, the results failed to support the hypothesis. Hence adjuvant treatments according to standard protocols were not found to be associated with long-term SCI. These findings provide new insights regarding the long-term association between systemic treatments and SCI. Although other studies have indicated an association between systemic treatments and SCI (Ribi ; Deprez ), most of these studies have investigated this relatively shortly after treatment completion. Our findings are consistent with another large long-term study by Ahn , who did not detect a difference between BC survivors (N=1933) receiving different, or combined adjuvant treatments, an average of 4 years after treatment. Limitations of their study, however, included considerable variability in time since surgery, which ranged from 1 to 12 years, and the measurement of SCI was restricted to two single items related to memory and concentration problems. In contrast, Bender found that 1 year after treatment, 57 survivors who had received both CT+ET (N=19) reported higher levels of memory complaints, compared with those who had received surgery only (N=19) or CT (N=19). Due to the small sample size, these results should be interpreted with caution. Furthermore, between-study differences in time since surgery limit the comparability of the studies. Although our results did not indicate any associations between systemic treatments and SCI, it is still important to evaluate the overall level of SCI, as this may differ from healthy population levels. Unfortunately, no established cutoff score is currently available for the CFQ, so we applied normative data published for a geriatric population (65–74 years) in New Zealand (Knight ), which may serve as a reasonable comparison country, given the similarities between New Zealand and Denmark in size, educational level, and socioeconomic status (OECD Better Life Index, 2014). The mean CFQ total score in a subgroup of the Danish BC survivors in the corresponding age range (65–74 years) did not statistically differ from the mean of this normative population, suggesting that long-term BC survivors in this age range are not experiencing pronounced cognitive issues. Furthermore, using the normative data above, we determined the prevalence of women who reported significant SCI in this subgroup, which amounted to 7% of all survivors between 65 and 74 years of age. The proportion of women with significant SCI in this subgroup is lower than that observed in other studies in which the same criterion has been applied. For example, Ganz found that 20% of BC survivors reported significant SCI within 3 months from primary treatment. Our results may thus indicate that SCI gradually normalises over time. However, it should be noted that the average age of participants in that study was generally lower, and because younger age may be associated with more cognitive complaints, as reported in the present study, differences in the proportion of patients with significant SCI may be due to such age differences. A recurrent finding regarding the relationship between objective and subjective measures of cognitive impairment is that these are not associated (Hermelink ; Pullens ; Hutchinson ). Although there is emerging evidence to show that SCI in cancer patients may be related to both neuropsychological outcomes (Ganz , 2014) and to altered functional, morphological, and electrophysiological brain properties (Deprez , 2014; McDonald and Saykin, 2013; Hunter ), SCI appears to be more strongly associated with psychological distress, for example, symptoms of depression and anxiety (Van Dam ; Jenkins ; Pullens ). However, even if SCI was not, altogether, related to objective impairment, it inarguably remains an equally important research area in psychosocial cancer research, due to the well-known association between SCI and survivors' quality of life (Boykoff ; Calvio ; Wu ; Von ). The present study adds to the literature in several ways. First, to our knowledge, it is the largest study investigating the long-term (>5 years) effects of systemic therapy on SCI in BC survivors so far. Second, the study is based on data from a nationwide cohort, which adds considerably to the generalisability of the results. In addition, it is the first study to investigate the association between SCI and the allocation to standard treatment protocols for systemic therapy. Because of the large sample size, we were able to evaluate independent, as well as, combined effects of adjuvant treatments administered according to standard national guidelines. Comparing treatment protocols may offer a more valid approach to the investigation of SCI with results being more generalisable and translatable to clinical practice. As differential comparisons require large samples with adequate statistical power to detect between-group differences, it remains a challenge in most studies (Buwalda and Schagen, 2013). A further strength relates to the stratification by menopausal status in the statistical analyses. Menopausal status, and thereby age, influences the choice of adjuvant treatment and protocol allocation. Because age was related to SCI, this could introduce a potential confounding effect of age. An observed effect could thus be an age-related effect rather than an independent effect of systemic treatment per se. Other strengths include detailed data on relevant clinical variables as well as pre-cancer sociodemographic variables on all eligible women utilising the unique Danish population registries. This enabled us to adjust for multiple potential socioeconomic confounders and to perform reliable non-responder analysis, which did not indicate any selection bias related to the treatment exposure (CT and/or ET). Some limitations should also be noted. Despite the prospective nature of the present study, the CFQ was only administered at 7–9 years follow-up, which did not allow us to explore the course of SCI over time. Furthermore, it prevented us from exploring the possibility of attrition bias related to the initial level of SCI. At the 3-month follow-up, responders were, on average, younger than non-responders (See Christensen for full details), which, given the observed negative association between age and SCI, may potentially pose a risk of an overestimation of SCI. Finally, because CFQ normative data were not available for the whole age-span, significant SCI was only determined for a subsample (36%) of the cohort in the age range 63 to 74 years. In conclusion, our results failed to confirm the hypothesis that women treated with systemic therapy experience long-term SCI when assessed 7–9 years post surgery. Furthermore, the observed proportion of survivors with significant SCI in the subgroup analysis was comparable to population norms. These results are important to communicate to patients, survivors, and clinicians alike, especially in the light of the increasing level of concern about cognitive impairment following systemic therapies.
  45 in total

Review 1.  Estrogen actions in the central nervous system.

Authors:  B S McEwen; S E Alves
Journal:  Endocr Rev       Date:  1999-06       Impact factor: 19.871

2.  Longitudinal assessment of chemotherapy-induced alterations in brain activation during multitasking and its relation with cognitive complaints.

Authors:  Sabine Deprez; Mathieu Vandenbulcke; Ronald Peeters; Louise Emsell; Ann Smeets; Marie-Rose Christiaens; Frederic Amant; Stefan Sunaert
Journal:  J Clin Oncol       Date:  2014-05-27       Impact factor: 44.544

Review 3.  Subjective cognitive dysfunction in breast cancer patients: a systematic review.

Authors:  Marleen J J Pullens; Jolanda De Vries; Jan A Roukema
Journal:  Psychooncology       Date:  2010-11       Impact factor: 3.894

4.  Self-reported cognitive problems in women receiving adjuvant therapy for breast cancer.

Authors:  Val Shilling; Valerie Jenkins
Journal:  Eur J Oncol Nurs       Date:  2006-07-17       Impact factor: 2.398

5.  Impact of perceived cognitive impairment in breast cancer survivors.

Authors:  Diane Von Ah; Barbara Habermann; Janet S Carpenter; Brandy L Schneider
Journal:  Eur J Oncol Nurs       Date:  2012-08-14       Impact factor: 2.398

6.  Chemotherapy and cognitive complaints in women with breast cancer.

Authors:  Marleen J J Pullens; Jolanda De Vries; Laurence J C Van Warmerdam; Marieke A Van De Wal; Jan A Roukema
Journal:  Psychooncology       Date:  2012-10-30       Impact factor: 3.894

7.  Associations between adjuvant endocrine therapy and onset of physical and emotional concerns among breast cancer survivors.

Authors:  G J van Londen; E B Beckjord; M A Dew; K L Cooper; N E Davidson; D H Bovbjerg; H S Donovan; R C Thurston; J Q Morse; S Nutt; R Rechis
Journal:  Support Care Cancer       Date:  2013-11-24       Impact factor: 3.603

8.  Psychometric properties of the Cognitive Failures Questionnaire.

Authors:  Robert S Bridger; Svein Åge Kjøs Johnsen; Kate Brasher
Journal:  Ergonomics       Date:  2013-07-23       Impact factor: 2.778

9.  Subjective cognitive complaints one year after ceasing adjuvant endocrine treatment for early-stage breast cancer.

Authors:  K Ribi; J Aldridge; K-A Phillips; A Thompson; V Harvey; B Thürlimann; F Cardoso; O Pagani; A S Coates; A Goldhirsch; K N Price; R D Gelber; J Bernhard
Journal:  Br J Cancer       Date:  2012-04-24       Impact factor: 7.640

10.  Confronting chemobrain: an in-depth look at survivors' reports of impact on work, social networks, and health care response.

Authors:  Nelli Boykoff; Mona Moieni; Saskia Karen Subramanian
Journal:  J Cancer Surviv       Date:  2009-09-16       Impact factor: 4.442

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  15 in total

Review 1.  Cancer-related cognitive impairment: an update on state of the art, detection, and management strategies in cancer survivors.

Authors:  M Lange; F Joly; J Vardy; T Ahles; M Dubois; L Tron; G Winocur; M B De Ruiter; H Castel
Journal:  Ann Oncol       Date:  2019-12-01       Impact factor: 32.976

2.  Exploring Relationships Among Peripheral Amyloid Beta, Tau, Cytokines, Cognitive Function, and Psychosomatic Symptoms in Breast Cancer Survivors.

Authors:  Ashley Henneghan; Andreana P Haley; Shelli Kesler
Journal:  Biol Res Nurs       Date:  2019-11-10       Impact factor: 2.522

3.  A mixed methods analysis of perceived cognitive impairment in hematopoietic stem cell transplant survivors.

Authors:  Lisa M Wu; Nadia Kuprian; Krista Herbert; Ali Amidi; Jane Austin; Heiddis Valdimarsdottir; Christine Rini
Journal:  Palliat Support Care       Date:  2019-08

4.  Predicting Patient Reported Outcomes of Cognitive Function Using Connectome-Based Predictive Modeling in Breast Cancer.

Authors:  Ashley M Henneghan; Chris Gibbons; Rebecca A Harrison; Melissa L Edwards; Vikram Rao; Douglas W Blayney; Oxana Palesh; Shelli R Kesler
Journal:  Brain Topogr       Date:  2019-11-19       Impact factor: 3.020

5.  Systematic review of self-reported cognitive function in cancer patients following chemotherapy treatment.

Authors:  Victoria J Bray; Haryana M Dhillon; Janette L Vardy
Journal:  J Cancer Surviv       Date:  2018-05-04       Impact factor: 4.442

6.  Identifying cytokine predictors of cognitive functioning in breast cancer survivors up to 10 years post chemotherapy using machine learning.

Authors:  Ashley M Henneghan; Oxana Palesh; Michelle Harrison; Shelli R Kesler
Journal:  J Neuroimmunol       Date:  2018-04-19       Impact factor: 3.478

7.  Measuring Self-Reported Cancer-Related Cognitive Impairment: Recommendations from the Cancer Neuroscience Initiative Working Group.

Authors:  Ashley M Henneghan; Kathleen Van Dyk; Tara Kaufmann; Rebecca Harrison; Christopher Gibbons; Cobi Heijnen; Shelli R Kesler
Journal:  J Natl Cancer Inst       Date:  2021-02-26       Impact factor: 13.506

Review 8.  Sustaining Work Participation Across the Life Course.

Authors:  Glenn S Pransky; Jean-Baptise Fassier; Elyssa Besen; Peter Blanck; Kerstin Ekberg; Michael Feuerstein; Fehmidah Munir
Journal:  J Occup Rehabil       Date:  2016-12

9.  Subjective cognitive impairment and brain structural networks in Chinese gynaecological cancer survivors compared with age-matched controls: a cross-sectional study.

Authors:  Yingchun Zeng; Andy S K Cheng; Ting Song; Xiujie Sheng; Yang Zhang; Xiangyu Liu; Chetwyn C H Chan
Journal:  BMC Cancer       Date:  2017-11-28       Impact factor: 4.430

10.  Cognitive complaints in cancer survivors and expectations for support: Results from a web-based survey.

Authors:  Marie Lange; Idlir Licaj; Bénédicte Clarisse; Xavier Humbert; Jean-Michel Grellard; Laure Tron; Florence Joly
Journal:  Cancer Med       Date:  2019-03-18       Impact factor: 4.452

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