Anna Forsythe1, David Chandiwana2, Janina Barth3, Marroon Thabane4, Johan Baeck5, Anastasiya Shor1, Gabriel Tremblay6. 1. Health Technology Assessment Evidence, Purple Squirrel Economics, New York, NY, USA. 2. Global Value and Access, Novartis Pharmaceutical Corporation, East Hanover, NJ, USA. 3. German Market Access, Novartis Pharma GmbH, Nuremberg, Germany. 4. Health Policy and Patient Access, Novartis Pharmaceuticals Incorporated, Dorval, QC, Canada. 5. Global Medical Affairs (Oncology Business Unit), Novartis Pharmaceutical Corporation, East Hanover, NJ, USA. 6. Health Economics, Purple Squirrel Economics, New York, NY, USA.
Abstract
BACKGROUND: Hormone receptor-positive (HR+), human epidermal growth factor receptor 2-negative (HER2-), metastatic breast cancer (MBC) accounts for 73% of all MBCs. Endocrine therapy (ET) is the basis of first-line (1L) therapy for patients with HR+/HER2- MBC. Novel therapies have demonstrated improvements in progression-free survival (PFS) compared to ET. The clinical relevance of PFS is being debated, as there is no proven direct correlation with overall survival (OS) benefit to date. We reviewed studies of HR+/HER2- MBC to assess PFS and other factors that influence OS and treatment response, and health-related quality of life (HRQoL). METHODS: The Embase®, Medline®, and Cochrane databases were systematically searched to identify studies in adult women with HR+/HER2- MBC, published between January 2006 and January 2017, and written in English. Phase II and III randomized controlled trials (RCTs), observational, and retrospective studies were included. RESULTS: Seventy-nine RCTs were identified: 58 (73%) in the 1L+ setting and 21 (27%) in second-line or greater settings. PFS hazard ratios (HRs) were reported in 61 (77%) studies; 31 (39%) reported significant PFS improvements. OS was reported in 44 (41%) studies; 12 (15%) reported significant OS improvements. Significant improvements in both PFS and OS were reported in only 6 (8%) studies (1 Phase II; 5 Phase III). Patients with HER2- MBC received, on average, ≥5 lines of therapy, with no consistent treatment pathway. Baseline characteristics, prior therapies, and the type and number of post-progression therapies significantly impacted OS. PFS, response rates, and HRQoL decreased with each line of therapy (EuroQol 5 Dimensions: 0.78 1L vs. 0.70 post-progression). CONCLUSION: Few RCTs in HR+/HER2- MBC have demonstrated significant improvements in OS. Factors other than choice of 1L therapy impact OS, including post-progression therapies, which cannot be controlled in RCTs. This study emphasizes the importance of PFS improvement in 1L treatment of HR+/HER2- MBC.
BACKGROUND: Hormone receptor-positive (HR+), human epidermal growth factor receptor 2-negative (HER2-), metastatic breast cancer (MBC) accounts for 73% of all MBCs. Endocrine therapy (ET) is the basis of first-line (1L) therapy for patients with HR+/HER2- MBC. Novel therapies have demonstrated improvements in progression-free survival (PFS) compared to ET. The clinical relevance of PFS is being debated, as there is no proven direct correlation with overall survival (OS) benefit to date. We reviewed studies of HR+/HER2- MBC to assess PFS and other factors that influence OS and treatment response, and health-related quality of life (HRQoL). METHODS: The Embase®, Medline®, and Cochrane databases were systematically searched to identify studies in adult women with HR+/HER2- MBC, published between January 2006 and January 2017, and written in English. Phase II and III randomized controlled trials (RCTs), observational, and retrospective studies were included. RESULTS: Seventy-nine RCTs were identified: 58 (73%) in the 1L+ setting and 21 (27%) in second-line or greater settings. PFS hazard ratios (HRs) were reported in 61 (77%) studies; 31 (39%) reported significant PFS improvements. OS was reported in 44 (41%) studies; 12 (15%) reported significant OS improvements. Significant improvements in both PFS and OS were reported in only 6 (8%) studies (1 Phase II; 5 Phase III). Patients with HER2- MBC received, on average, ≥5 lines of therapy, with no consistent treatment pathway. Baseline characteristics, prior therapies, and the type and number of post-progression therapies significantly impacted OS. PFS, response rates, and HRQoL decreased with each line of therapy (EuroQol 5 Dimensions: 0.78 1L vs. 0.70 post-progression). CONCLUSION: Few RCTs in HR+/HER2- MBC have demonstrated significant improvements in OS. Factors other than choice of 1L therapy impact OS, including post-progression therapies, which cannot be controlled in RCTs. This study emphasizes the importance of PFS improvement in 1L treatment of HR+/HER2- MBC.
Entities:
Keywords:
breast cancer; health-related quality of life; overall survival; progression-free survival; systematic literature review
Breast cancer is currently the most common malignancy diagnosed in women and is associated with the second-highest mortality rates, after lung cancer. In 2016, there were 246,660 confirmed diagnoses of breast cancer and an estimated 40,450 deaths attributed to the disease.1 Approximately 12.4% of women will be diagnosed with breast cancer in their lifetime and,2 though the malignancy is diagnosed at an early stage in 90% of patients, most tumors will progress to advanced or metastatic disease.3,4 Progression to metastatic breast cancer (MBC) is associated with median survival times of 18–24 months, and only 5% of patients are anticipated to be disease-free and alive at 5 years following tumor metastasis.5 Approximately 30%–40% of women diagnosed with invasive breast cancer will eventually develop MBC;6 in the USA, the 5-year survival rate for women with MBC is about 26%.1The most common neoplasms of the breast, found in 74% of patients, are hormone receptor-positive (HR+) and human epidermal growth factor receptor 2-negative (HER2−). This subset of breast cancer has the most favorable disease prognosis, as HR-negative tumors respond to therapy at a lower rate and HER2+ tumors are more aggressive.7 The standard of care for post-menopausal women with HR+/HER2− breast cancer is endocrine therapy (ET).8 The primary agents used are selective androgen receptor modulators, which include tamoxifen (TAM) and fulvestrant (FUL); and aromatase inhibitors, which include exemestane (EXE), letrozole (LET), and anastrozole (ANA).9 Despite the variety of available therapies, only 20%–40% of patients will respond to these agents and most will develop resistance during their course of therapy.10,11Management of resistance requires the use of drugs that target the resistance pathway and subsequently improve sensitivity to ET.8 Drugs approved by the US Food and Drug Administration for the treatment of HR+/HER2− advanced breast cancer in combination with aromatase inhibitors are the mammalian target of rapamycin (mTOR) inhibitor everolimus (EVE) and the cyclin-dependent kinase (CDK) 4/6 inhibitors abemaciclib, palbociclib (PALBO), and ribociclib (RIBO). EVE and PALBO have been shown to improve progression-free survival (PFS) compared to ET alone in first-and second-line randomized controlled trials (RCTs).12,13 RIBO, given as first-line (1L) therapy for post-menopausal women with HR+/HER2− advanced breast cancer in combination with LET, has demonstrated improvement in PFS compared with LET alone in a Phase III RCT.14While the above-mentioned clinical trials reported improvements in PFS, data on overall survival (OS) with the use of some drugs, such as PALBO and RIBO, are limited, and it is uncertain whether improved PFS correlates with benefits in OS. To evaluate the available evidence for PFS and OS across Phase II and III RCTs of patients with HR+/HER2− MBC, we conducted a systematic literature review (SLR). In addition, we conducted a targeted literature search to identify factors that may influence OS in HR+/HER2− MBC and underlie treatment patterns. We also examined efficacy and health-related quality of life (HRQoL) changes relative to the line of therapy in HR+/HER2− MBC to determine if any trends were present.
Methods
SLR protocol
An SLR was performed following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.15 The inclusion criteria for the literature search and the methods of analysis were specified in advance and documented in a protocol, details are provided in the following section.
SLR eligibility criteria
The SLR included original reports of Phase II and III RCTs in adult women with HR+/HER2− MBC, written in English and published between January 2006 and January 2017. Trials that enrolled both HER2− and HER2+ patients were included if >80% of the enrolled patients had HER2− disease, requiring that results were provided for the HER2− subgroup. The extracted outcome measures for efficacy included PFS or time-to-progression (TTP), and OS reported as either median survival (in months) or hazard ratios (HRs) vs. comparators. Publications reporting meta-analyses were also retained in the SLR for reference cross-checking.Studies with fewer than 10 patients and those that lacked any of the measures of interest were excluded. No limitations were placed on therapies except that they must be systemic. Studies of surgical interventions, radiotherapy/chemoradiation, or adjuvant/neo-adjuvant therapies were excluded.In cases of duplicate publications or conference abstracts reporting data from a study with an available manuscript, the most recent manuscript was prioritized unless an older manuscript or more recent abstract included data points that were missing in the later manuscript.The targeted literature search also included a review of post hoc statistical analyses of factors influencing OS, non-randomized studies of treatment patterns, and studies reporting HRQoL in HR+/HER2− MBC. The search strategy was based on similar criteria as mentioned earlier; however, eligible study designs also included observational studies, retrospective chart reviews, and patient surveys, provided that data on outcomes of interest were reported.
Information sources
Studies were identified based on searches of the Embase, Medline, Daily Medline, and Medline In-Process electronic databases, Cochrane Central Register of Controlled Trials, Cochrane Database of Reviews of Effect, and Cochrane Database of Systematic Reviews. Additionally, congress abstracts from the American Society of Clinical Oncology, European Society of Medical Oncology, European Breast Cancer Conference, and San Antonio Breast Cancer Symposium libraries were identified. The literature search was conducted in January 2017 and included studies from January 2006 up to the date of the search. The full search strategy is available in Tables S1–S3.
Study selection
Following the database searches, two independent analysts reviewed and selected studies based on abstracts and titles. The eligibility of abstracts and full-text articles was then independently assessed by the two reviewers in a standardized manner. Discrepancies were resolved by consensus between both reviewers.
Data collection process
A data extraction sheet was developed to tabulate the studies’ characteristics (detailed below). One reviewer extracted the data and a second checked the extracted data for accuracy. As above, discrepancies were resolved by consensus between the two reviewers.
Data items
The following data elements were extracted from each study: 1) trial characteristics included reference, name of trial, study design, phase of study, line of therapy (1L or second and later [2L+]), study interventions, class of intervention drug, and treatment arms; 2) population characteristics included total number of randomized participants, median age, number of patients with Eastern Cooperative Oncology Group performance status of 0 and 1, number of HER2− patients, number of HR+ patients, number of PR+ patients, endocrine status (resistant, sensitive, or mixed), number of premenopausal participants, number of patients with visceral metastases, number of patients with 1, 2, or ≥3 metastatic sites, number of patients with prior ET, and number of patients with prior adjuvant/neo-adjuvant/metastatic-setting chemotherapy; 3) trial outcomes included type of primary endpoint, whether PFS/TTP and/or OS were reported, PFS/TTP and OS results (median months of survival, HRs, confidence intervals, and p-values).For the targeted literature search, additional data elements extracted included any HRQoL outcomes, patient burden (humanistic), number of lines of therapies including duration, sequence and efficacy in each line, and factors associated with OS.
Results
The database search returned 1017 records (Embase: 501, Cochrane: 272, Medline: 244). Of these, 636 were excluded due to failure to meet the inclusion criteria of population, intervention, outcomes, or study design. A further 274 duplicates were excluded, leaving a total of 107 full-text articles that were extracted and included in this SLR, 79 of which represent unique studies (58 1L, 21 2L+; Figure 1). The remaining 28 articles presented updated or interim data, the results of subgroup analyses, or were meta-analyses.
Figure 1
Randomized controlled trial evidence flow for systematic literature review of clinical evidence.
Study characteristics
The breakdown of study treatments included in this SLR is presented in Table 1 and Figure 2. In total, 58 1L studies and 21 2L+ studies were included. PFS HR data were reported in 61 of the 79 unique studies (77%); of these, 31 (51%) reported significant PFS improvements. OS HR data were reported in 44 of the 79 studies (56%); of these, only 12 (27%) reported a significant OS improvement. Significant improvements in both PFS and OS were reported in only 6 (8%) studies (1 Phase II; 5 Phase III).
Table 1
Systematic literature review results according to OS and PFS reporting
More Phase III than Phase II (15 vs. 4) RCTs reported statistically significant improvements in PFS in 1L therapy. Among the 19 1L studies that reported significant PFS improvement, 9 were of tyrosine kinase inhibitors (TKI) plus chemotherapy (CHEMO) and 3 were of CDK 4/6 inhibitor plus ET treatments.We further evaluated PFS among RCTs that included ET as a control arm. Here, the greatest difference in PFS among arms was seen with the addition of a CDK4/6 inhibitor (PALBO or RIBO) to LET (HRs of 0.49 and 0.56, respectively) or mTOR inhibitor (EVE) to either EXE or TAM (HRs of 0.45 and 0.54, respectively). Of these, the PALBO+LET and EVE+TAM trials were 1L studies, while EVE+EXE included mostly 2L+ patients.13–15 Statistically significant improvements in PFS were also seen with the addition of bevacizumab (BEV) to LET vs. LET alone (HR =0.75) and BEV to LET or FUL (vs. either LET or FUL, HR =0.83).16,17 Although the addition of ANA to FUL (vs. FUL alone) led to significant improvements in PFS (HR =0.80) in one study, this finding was not supported by another study (ANA+FUL vs. placebo + FUL, HR =1.0; Figure 3).17
Figure 3
PFS HRs in selected randomized controlled trials
Notes: <1 favors experimental arm, >1 favors control arm.
Among the 79 RCTs, 46 (58%) reported incremental OS months, and 44 (56%) presented HRs for OS. However, only 12 studies (15%) reported statistically significant improvements in OS: 9 were 1L and 3 were 2L+.Six Phase III RCTs reported statistically significant improvements in OS in 1L therapy compared to 3 Phase II trials. Among the 9 1L studies that reported significant OS improvement, 3 were of ET and 2 were of TKI+CHEMO treatments.Among RCTs with ET as a control arm, only 1 of 9 studies reported statistically significant improvements in OS. The addition of EVE to TAM (vs. TAM alone) yielded a 55% reduction in risk of death, though this was reported in a small (n=111) Phase II study of patients receiving 1L therapy.16 The addition of PALBO to LET vs. LET led to a 19% risk reduction (HR=0.81).13 In 2 RCTs, the addition of ANA to FUL yielded HRs of 0.81 and 0.95, respectively.18,19 The addition of BEV to either LET or LET+FUL did not yield consistent results with HRs of 0.87 and 1.13,20,17 respectively (Figure 4).
Figure 4
OS HRs in selected studies.
Notes: <1 favors experimental arm, >1 favors control arm.
Among the 79 unique RCTs, only 6 studies (8%) reported statistically significant differences in both PFS and OS. Among these studies, the majority (5) were investigations of 1L therapies, and Phase III RCTs (also 5). Among 4 Phase III 1L studies that reported statistical significance in PFS and OS, 2 were of TKI+CHEMO, 1 of TKI+ET, and 1 of ET combination.
Factors influencing overall survival
Multiple studies conducted subgroup analyses to identify clinical factors with an impact on OS. Park et al reported that median PFS of at least 7.6 months was associated with significantly longer OS (HR=0.34, confidence intervals: 0.25:0.46, p<0.001).21 This and other studies also reported that demographic factors, baseline characteristics, prior adjuvant/neoadjuvant therapy as well as post-progression therapy, and the total number of lines of therapy have significant impact on final OS.22–30Although RCTs can balance study populations on baseline characteristics and prior therapies, post-progression therapies or metastases cannot be controlled for in 1L studies. Factors demonstrated to affect OS are summarized in Table 2.
Table 2
Factors impacting OS in MBC
Demographics
Disease characteristics
Prior therapy
Post-progression therapy
Age ≥65 years
Measurable disease
Prior endocrine therapy
Type of post-progression
Region
ECOG (1–2 vs. 0)Number of organs involvedNumber of metastatic sitesVisceral involvementCNS metastasesLiver metastasesDisease-free interval
Prior chemotherapy (adjust/neoadjuvant)
Lines of post-progression therapy
Abbreviations: CNS, central nervous system; ECOG, Eastern Cooperative Oncology Group; MBC, metastatic breast cancer, OS, overall survival.
Treatment patterns and HRQoL
Our targeted search found significant variability in the treatments used for 1L and 2L+ therapies, with no preferred treatment pathway and many patients receiving up to 6 lines of therapy.31 The median length of PFS and response to treatment decreased with subsequent lines of therapy.21 Park et al further reported that median PFS of >7.6 months in 1L treatment was an important predictor of longer PFS in 2L, and PFS of >5.1 months in 2L was associated with longer PFS in 3L.21There were very limited data available on HRQoL associated with PFS. One abstract reported EuroQol 5 Dimensions (EQ-5D) data from a study of S1 (tegafur, gimeracil, and oteracil) vs. taxanes (paclitaxel or docetaxel), showing decline in EQ-5D scores from 1L therapy to post-progression (0.81 vs. 0.72). Additionally, a recent abstract presenting data from the MONALEESA-1 trial on RIBO and LET treatment in HR+/HER2− MBC reported that HRQoL declined post-progression.32
Discussion
OS, as a direct measurement of clinical benefit to a patient, has been a preferred measurement of efficacy in MBC RCTs. While no measurement can definitively gauge treatment efficacy, OS conforms to the standards of evidence-based medicine in that it is easily measured, and is considered unbiased and objective. However, our research has demonstrated that, overall, a minority of studies have reported significant OS improvements: among the 79 identified RCTs in HR+/HER2− MBC, only 12 reported improvements in OS. Besides the choice of treatment in 1L therapy, many factors influence OS. Multiple studies reported that patient demographics, baseline characteristics, prior adjuvant/neoadjuvant therapy as well as post-progression therapy, and the total number of lines of therapy have significant impacts on final OS. Though further removed from objectivity, PFS is commonly reported because it can be observed while respecting the time constraints that often impinge on clinical trials. Most importantly, PFS in 1L was documented as a significant factor in OS.33There is significant heterogeneity in MBC treatment, with many lines of therapies and no defined pathway. Macalalad et al documented variability in treatment patterns and over 5 lines of therapies among MBC patients.31 Kantar Health CancerMpact 2016 also reported on variability of treatment choices and observed that a significant proportion of patients who progress on a previous line of therapy subsequently utilize the next line of treatment for up to 6 lines.34 With the considerable variability in treatment patterns and many contributing factors to OS, there are concerns that the efficacy of 1L therapies measured by OS may be diluted or biased in clinical trials, thereby underestimating their true clinical benefit.Both PFS and response rates decrease as MBC progresses. Park et al reported a decline in months of PFS and response rates by line of therapy among MBC patients.21 Quality of life also decreases from 1L therapy to post-progression, as reported by Fukuda et al.32 As such, improvement in PFS with maintained HRQoL may be a more suitable and robust endpoint in 1L RCTs of patients with HR+/HER2− MBC.
Conclusion
The goal of treatment in MBC is to prolong life while maintaining the quality of survival. As such, RCTs of MBC treatments ideally measure OS and HRQoL. In clinical trials of 1L therapies, OS is affected by multiple factors that cannot be controlled. This study examined important characteristics of RCTs in MBC and their relevance to OS. In addition to demographics, baseline characteristics, and prior adjuvant/neoadjuvant therapy, final OS is influenced by post-progression therapy and the total number of lines of therapy. This SLR found that ultimately very few 1L RCTs report OS improvement. PFS improvement is more often reported and its significance is perhaps understated. PFS, response rates, and QoL decrease as the disease progresses and with each line of therapy. PFS in 1L is an important predictor of PFS in further lines of therapy. In 1L treatments for MBC, PFS improvement coupled with maintained HRQoL provides patients with more meaningful time and may be considered the best possible outcome.Ovid Medline® Epub ahead of print, in-process, and other non-indexed citations. Ovid Medline® daily and Ovid Medline® 1946 to present databaseNotes: Bold font indicates the total number of articles collect in each search.EBM Reviews, Cochrane Database of Systematic Reviews 2005 to June 9, 2017; Database Info Icon EBM Reviews, ACP Journal Club 1991 to May 2017; Database Info Icon EBM Reviews, Database of Abstracts of Reviews of Effects 1st Quarter 2016; Database Info Icon EBM Reviews, Cochrane Central Register of Controlled Trials April 2017; Database Info Icon EBM Reviews, Cochrane Methodology Register 3rd Quarter 2012; Database Info Icon EBM Reviews, Health Technology Assessment 4th Quarter 2016; Database Info Icon EBM Reviews, NHS Economic Evaluation Database 1st Quarter 2016Notes: Bold font indicates the total number of articles collect in each search.Embase database 1974 to 2017 June 09Notes: Bold font indicates the total number of articles collect in each search.
Table S1
Ovid Medline® Epub ahead of print, in-process, and other non-indexed citations. Ovid Medline® daily and Ovid Medline® 1946 to present database
Date: January 2017
1
Exp breast neoplasms/
250,773
2
(Breast adj6 cancer$).af.
246,948
3
(Breast adj6 neoplas$).af.
252,542
4
(breast adj6 carcinoma$).af.
63,807
5
(Breast adj6 tumor$).af.
7401
6
(Breast adj6 tumor$).af.
48,416
7
1 or 2 or 3 or 4 or 5 or 6
336,672
8
Metasta$.mp. or exp neoplasm metastasis/
477,568
9
7 and 8
74,656
10
(“Metastatic breast cancer” or “metastatic breast neoplasms”).af.
11,972
11
9 or 10
74,661
12
“Hormone receptor positive”.af.
2300
13
“Hormone receptor-positive”.af.
2300
14
(“Estrogen receptor-positive” or “oestrogen receptor-positive”).af.
4218
15
“Progesterone receptor-positive”.af.
732
16
“Hormone sensitive”.af.
3719
17
12 or 13 or 14 or 15 or 16
10,513
18
11 and 17
1955
19
Exp randomized controlled trials/
111,704
20
Randomized controlled trial.pt.
448,501
21
Exp random allocation/or exp randomization/
89,826
22
Exp placebos/
34,191
23
Exp double-blind method/or double-blind$.af.
180,225
24
Exp multicenter study/or Multicent$.af.
279,405
25
Random$.ti,ab,kw,sh.
1,124,651
26
Blind$.ti,ab,kw,sh.
263,750
27
Placebo$.ti,ab,kw,sh.
203,823
28
Parallel$.ti,ab,kw,sh.
266,233
29
Exp clinical trial, phase 3/
13,116
30
Exp clinical trial, phase 2/
29,002
31
(“Phase III” or “phase 2” or (“phase III” or “phase II”)).af.
112,861
32
19 or 20 or 21 or 22 or 23 or 24 or 25 or 26 or 27 or 28 or 29 or 30 or 31
1,752,319
33
18 and 32
610
34
Limit 33 to yr=“2006–Current”
422
35
Limit 34 to “review articles”
74
36
34 not 35
348
37
Limit 36 to humans
297
38
Remove duplicates from 37
244
Notes: Bold font indicates the total number of articles collect in each search.
Table S2
EBM Reviews, Cochrane Database of Systematic Reviews 2005 to June 9, 2017; Database Info Icon EBM Reviews, ACP Journal Club 1991 to May 2017; Database Info Icon EBM Reviews, Database of Abstracts of Reviews of Effects 1st Quarter 2016; Database Info Icon EBM Reviews, Cochrane Central Register of Controlled Trials April 2017; Database Info Icon EBM Reviews, Cochrane Methodology Register 3rd Quarter 2012; Database Info Icon EBM Reviews, Health Technology Assessment 4th Quarter 2016; Database Info Icon EBM Reviews, NHS Economic Evaluation Database 1st Quarter 2016
Date: January 2017
1
Exp breast neoplasms
9184
2
Breast adj6 cancer$
21,934
3
Breast adj6 neoplas$
10,989
4
Breast adj6 carcinoma$
2112
5
Breast adj6 tumor$
573
6
Breast adj6 tumor$
1851
7
1 or 2 or 3 or 4 or 5 or 6
23,744
8
Metasta$
21,265
9
Neoplasm Metastasis.sh.
2226
10
8 or 9
21,265
11
7 and 10
6121
12
“Hormone receptor positive”
607
13
Hormone receptor-positive’ 588
607
14
Estrogen receptor-positive’ or “oestrogen receptor-positive” 654
522
15
“Progesterone receptor-positive” 250
109
16
Hormone sensitive 986
210
17
12 or 13 or 14 or 15 or 16 2325
1318
18
11 and 17
453
19
Limit 18 to yr=“2006–Current”
329
20
Limit 19 to english language
284
21
Limit 20 to humans
278
22
Remove duplicates from 21
272
Notes: Bold font indicates the total number of articles collect in each search.
Table S3
Embase database 1974 to 2017 June 09
Date: January 2017
1
Breast cancer’.af.
404,912
2
Exp breast tumor/
456,726
3
(Breast adj6 tumor*).mp
10,358
4
(Breast adj6 tumor*).mp
132,238
5
(Breast adj6 neoplas*).mp
22,949
6
(Breast adj6 cancer*).mp
446,177
7
(Breast adj6 carcinoma*).mp
95,202
8
1 or 2 or 3 or 4 or 5 or 6 or 7
513,111
9
Metastasis/
310,169
10
Metasta*
697,570
11
9 or 10
697,570
12
8 and 11
123,533
13
(“metastatic breast neoplasms” or “metastatic breast neoplasm” or “metastatic breast cancer”).mp
19,097
14
12 or 13
123,533
15
Hormone receptor positive’ OR “hormone receptor-positive”
3917
16
Progesterone receptor-positive’ OR “progesterone receptor positive”
1185
17
Estrogen receptor-positive’ or “oestrogen receptor-positive”
7549
18
Hormone sensitive’
4924
19
Hormone adj3 positive
5460
20
15 or 16 or 17 or 18 or 19
17,999
21
14 and 20
4258
22
Exp “randomized controlled trial”/
481,221
23
Randomization/
84,943
24
Random*.ti,ab.
1,181,594
25
Parallel*.ti,ab
303,245
26
([Single or double or triple] adj3 [blind* or mask* or dummy]).ti,ab.
201,720
27
Double-blind’ or “double-blinded”
219,339
28
Multicenter study’ or multicent*
277,968
29
Blind*.ti,ab.
341,487
30
Placebo*.ti,ab
254,042
31
(“Phase III” OR “phase II”).ti,ab
40,098
32
(“Phase III” OR “phase II”).ti,ab
111,214
33
22 or 23 or 24 or 25 or 26 or 27 or 28 or 29 or 30 or 31 or 32
2,028,041
34
21 and 33
1173
35
Limit 34 to human
1094
36
Limit 35 to english language
1075
37
Limit 36 to yr=“2006 -Current”
898
38
Limit 37 to embase
562
39
Limit 38 to (article or conference abstract)
501
Notes: Bold font indicates the total number of articles collect in each search.
Authors: José Baselga; Mario Campone; Martine Piccart; Howard A Burris; Hope S Rugo; Tarek Sahmoud; Shinzaburo Noguchi; Michael Gnant; Kathleen I Pritchard; Fabienne Lebrun; J Thaddeus Beck; Yoshinori Ito; Denise Yardley; Ines Deleu; Alejandra Perez; Thomas Bachelot; Luc Vittori; Zhiying Xu; Pabak Mukhopadhyay; David Lebwohl; Gabriel N Hortobagyi Journal: N Engl J Med Date: 2011-12-07 Impact factor: 91.245
Authors: Dorte Lisbet Nielsen; Karsten D Bjerre; Erik H Jakobsen; Søren Cold; Lars Stenbygaard; Peter G Sørensen; Claus Kamby; Susanne Møller; Charlotte L T Jørgensen; Michael Andersson Journal: J Clin Oncol Date: 2011-11-14 Impact factor: 44.544
Authors: M Martino; A Ballestrero; A Zambelli; S Secondino; M Aieta; C Bengala; A M Liberati; C Zamagni; M Musso; M Aglietta; R Schiavo; L Castagna; G Rosti; B Bruno; P Pedrazzoli Journal: Bone Marrow Transplant Date: 2012-08-06 Impact factor: 5.483
Authors: Rita S Mehta; William E Barlow; Kathy S Albain; Ted A Vandenberg; Shaker R Dakhil; Nagendra R Tirumali; Danika L Lew; Daniel F Hayes; Julie R Gralow; Robert B Livingston; Gabriel N Hortobagyi Journal: N Engl J Med Date: 2012-08-02 Impact factor: 91.245
Authors: Sherko Kümmel; Christian Jackisch; Volkmar Müller; Andreas Schneeweiss; Sandra Klawitter; Michael P Lux Journal: Cancer Manag Res Date: 2018-11-08 Impact factor: 3.989
Authors: Hope S Rugo; Adam Brufsky; Xianchen Liu; Benjamin Li; Lynn McRoy; Connie Chen; Rachel M Layman; Massimo Cristofanilli; Mylin A Torres; Giuseppe Curigliano; Richard S Finn; Angela DeMichele Journal: NPJ Breast Cancer Date: 2022-10-11
Authors: Anna Forsythe; David Chandiwana; Janina Barth; Marroon Thabane; Johan Baeck; Gabriel Tremblay Journal: Breast Cancer (Dove Med Press) Date: 2018-05-04