Intensive follow-up for women with breast cancer: review of clinical, economic and patient’s preference domains through evidence to decision framework
Health and Quality of Life Outcomes volume 15, Article number: 206 (2017)
Women treated for breast cancer are followed-up for monitoring of treatment effectiveness and for detecting recurrences at an early stage. The type of follow-up received may affect women’s reassurance and impact on their quality of life. Anxiety and depression among women with breast cancer has been described, but little is known about how the intensity of the follow-up can affect women’s psychological status. This study was undertaken to evaluate the effects of intensive vs. less-intensive follow-up on different health outcomes, to determine what are women’s preferences and values regarding the follow-up received, and also assess the costs of these different types of follow-up.
A systematic review following standard Cochrane Collaboration methods was carried out to assess the efficacy of intensive follow-up versus non-intensive follow-up in breast cancer patients. Two additional reviews on women’s preferences and economic evidence were also carried out. The search was performed up to January 2016 in: MEDLINE, EMBASE, PDQ, McMaster Health Systems Evidence, CENTRAL, and NHS EED (through The Cochrane Library). The quality of evidence was assessed by GRADE (for quantitative studies) and CerQUAL (for qualitative studies). Several outcomes including mortality, breast cancer recurrences, quality of life, and patient satisfaction were evaluated.
Six randomised trials (corresponding to 3534 women) were included for the evaluation of health outcomes; three studies were included for women’s values and preferences and four for an economic assessment. There is moderate certainty of evidence showing that intensive follow-up, including more frequent diagnostic tests or visits, does not have effects on 5- or 10-year overall mortality and recurrences in women with breast cancer, compared with less intensive follow-up. Regarding women’s preferences and values, there was important variability among studies and within studies (low confidence due to risk of bias and inconsistency). Furthermore, intensive follow-up, as opposed to less intensive follow-up, is not likely to be cost-effective.
Less intensive follow-up appears to be justified and can be recommended over intensive follow-up. Resources could thus be mobilised to other aspects of breast cancer care, or other areas of healthcare.
Breast cancer is the most frequently diagnosed cancer and among the leading causes of cancer death among females [1,2,3]. Due to significant improvements in screening, early diagnosis, and treatment in the recent decades, breast cancer mortality has decreased worldwide [4,5,6]. This leads to a situation where the total number of prevalent breast cancer cases is increasing, and therefore a growing number of women needing follow-up care. Worldwide and European estimates of women with a diagnosis of breast cancer occurring in the last 5 years correspond to 6.2 and 1.8 million, respectively .
Women treated for breast cancer are followed-up for monitoring treatment effectiveness and complications, and for detecting recurrences at an early stage or new primary contralateral breast cancer. Follow-up includes clinical and test examinations such as routine haematological and liver function tests, tumour markers, chest X-ray, mammography and bone and liver scans . The diversity in frequency and in the type of examination results in many different follow-up practices, the intensity of which can be defined by the frequency of clinical visits and/or physical examinations (e.g. intensive, standard, patient-initiated or low intensity). There is also evidence of variability  in the way follow-up is implemented in clinical practice.
Despite doubts that intensive follow-up care can improve survival in these patients, intensive follow-up is quite common in clinical practice and represents a significant workload for radiotherapy, surgical and oncologic departments .
For a long time, the scientific community has focused on the relationship between the type of follow-up (i.e. intensity) and health outcomes, such as long-term mortality and morbidity, but also quality of life. A recent Cochrane review that analysed randomised control trials with almost 20 years of follow-up gave the following suggestion: "follow-up programs based on regular physical examinations and yearly mammography alone are as effective as more intensive approaches based on regular performance of laboratory and instrumental tests in terms of timeliness of recurrence detection, overall survival and quality of life" .
Despite the importance of health outcomes in terms of mortality and morbidity, it is also important to take into account the women’s perspective, including psychosomatic symptoms and diseases, which could be manifested as preference towards one or another type of follow-up scheme . Similarly, economic evidence in healthcare is becoming increasingly important, not only in the form of cost-effectiveness or cost-utility analyses, which are the most common mechanism for generating economic evidence in decision making, but also in the form of cost-minimisation, cost-consequences or cost-benefit analyses or total budget impact estimates . This is another key point to be considered in recommending a certain type of follow-up protocol.
Given that all these aspects should be considered together to make decisions in healthcare, there is an urgent need to use up-to-date and user-friendly evidence-presentation formats, in order to improve the communication of evidence-based healthcare recommendations, addressing communication needs of guideline users and decision-makers . The Grading of Recommendations Assessment, Development, and Evaluation (GRADE) methodology [15,16,17] in combination with Evidence to Decision (EtD) Frameworks provides an assessment and a summary of alternative strategies on three key elements: patient-important outcomes, patients’ values and preferences, and economic evidence. Information regarding acceptability and feasibility of the analysed strategies, and their impact on health equity is also included [15, 18].
The aim of the present paper is to evaluate the available research evidence on the clinical question about whether intensive follow-up should be provided for breast cancer patients treated with curative intent. The evidence is assessed and summarised according to GRADE and the EtD framework; the recommendations made in this manuscript are based on the authors judgements and should only be considered as the authors’ recommendations and not as recommendations made by a guideline panel. Nevertheless, they are useful to facilitate the further decision-making process carried out by guideline panels in charge of issuing clinical recommendations.
Systematic review on the evidence of effects of intensive follow-up on breast cancer outcomes
The research question was addressed by means of a systematic review of the literature on the evidence of health outcomes related to the alternative strategies – intensive and less intensive follow-up. An operational definition was used for intensive follow-up, where intensive was defined in comparison with a less intensive follow-up schedule or a patient-initiated approach. The review protocol is available upon request. Standard Cochrane Collaboration methods were followed . For the evaluation of the importance of the outcomes and for the assessment of the quality of evidence, the GRADE system was used.
Research question: the clinical question was structured following the PICO (Patient, Intervention, Comparison, Outcomes) format:
Population: breast cancer patients, treated with curative intent;
Intervention: intensive follow-up schedule;
Comparison: non-intensive follow-up;
Outcomes: 5- and 10-year mortality due to breast cancer; 5 and 10-year breast cancer recurrences (loco-regional and distant separately); 5- and 10-year breast cancer specific survival; quality of life at 2 and 5 years after diagnosis; women’s satisfaction with follow-up (measured by reassurance of women with the intensive follow-up and convenience by the women of intensive follow-up).
Critical outcomes included mortality due to breast cancer, breast cancer recurrences and breast cancer specific survival. Quality of life and satisfaction were considered important outcomes.
Inclusion and exclusion criteria
Following the WHO Handbook for Guidelines Development  as guidance, existing relevant systematic reviews of observational and experimental evidence were included as a source of individual studies; additional individual studies were searched, to update the body of evidence. Temporal or language restrictions were not applied. Studies in which the effects of follow-up intensity were not assessed, or when the outcomes were out of the scope of the clinical question, were excluded.
Systematic reviews were identified by introducing a combination of controlled vocabulary and search terms (e.g., follow-up, breast neoplasms, mortality, recurrences, quality of life, satisfaction, cost, healthcare resources, survival) in The Cochrane Database of Systematic Reviews (2015, issue 11), The Database of Abstracts of Reviews of Effects (DARE), and PubMed limiting the search to the subset “systematic [sb]”.
Original studies were searched in MEDLINE (through PubMed; from 1946 to January 2016), EMBASE (through Ovid; from 1980 to November 2015), PDQ, McMaster Health Systems Evidence, CENTRAL, and NHS EED (through The Cochrane Library; January 2016).
One reviewer screened the search results based on title and abstract. This process was subjected to a quality process, by reviewing 20% of the references by a second reviewer. Two reviewers independently confirmed eligibility, based on the full text of the relevant articles. In case of disagreement between reviewers the inclusion of studies was determined by consensus.
Data extraction was conducted by one reviewer. As quality control, another reviewer went through 20% of the data for accuracy.
Risk of bias
The assessment was carried out by one reviewer. As quality control, another reviewer went through 20% of the data for accuracy. For each study, the risk of bias was rated for each domain as low, high or unclear risk of bias.
Odds ratios (OR), risk ratios (RR) and hazard ratios (HR) were extracted, with their 95% confidence intervals (CI). If available, only adjusted effect measures were collected. Data from any estimation of effect provided (percentages, means, medians) were also collected.
Quality of the evidence evaluation
A pooled analysis was conducted applying the inverse-variance method under the random-effects model ; the analysis was performed through the Software Review Manager v. 5.3. Heterogeneity was assessed using the I2 statistic.
The report of results of the meta-analysis adhered to the guidelines articulated in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement .
Review on women’s values and preferences
A review about women’s values and preferences for intensive follow-up versus non-intensive follow-up after breast cancer treatment was undertaken.
Inclusion and exclusion criteria
In a first stage, after conducting the systematic search of the literature, the screening of references was carried out, initially prioritising the identification of systematic reviews. In a second stage, individual studies were retrieved (e.g., qualitative studies, surveys, utility elicitation studies). Studies in English, French, German, Greek, and Spanish, carried out in the Organisation for Economic Co-operation and Development (OECD) Region, were included. Included studies were:
examining women’s preferences for follow-up strategies after breast cancer treatment;
evaluating how women value the main outcomes associated with follow-up strategies after breast cancer treatment;
examining the choices women make when informed about the desirable and undesirable effects associated with follow-up strategies after breast cancer treatment.
Studies assessing only women’s knowledge, views, perceptions, attitudes and expectations regarding follow-up strategies after breast cancer treatment were excluded; similarly, studies assessing barriers to follow-up strategies after breast cancer treatment were not included.
A search strategy was designed to identify relevant studies in MEDLINE (accessed through Ovid). For systematic reviews, there were no time restrictions. For primary studies, only studies published after 2006 were included. The complete search strategy can be found in Additional file 2.
One reviewer screened the search results based on the title and abstract. Two reviewers independently confirmed eligibility based on the full text of the relevant articles. In case of disagreement between researchers, the inclusion of studies was decided by consensus (Fig. 1b).
One reviewer extracted the main characteristics of the included studies and their findings in a tabulated format. A second reviewer checked the extracted data for accuracy.
Quality of the evidence evaluation
The quality of evidence was rated with GRADE. In the case of qualitative research, the Confidence in the Evidence from Reviews of Qualitative research (CERQual) approach was used .
Review on economic evidence
A review about the economic evidence for intensive follow-up versus non-intensive follow-up after breast cancer treatment was carried out.
Inclusion and exclusion criteria
Screening of literature and study selection was done in a step–by- step approach. Firstly, the search focused on studies that addressed economic aspects directly related to the PICO question. Then, recent European cost-effectiveness or cost-utility analyses related to the PICO question were looked for. Only studies in English were included.
Search strategies were designed to identify relevant studies in MEDLINE (through Ovid, January 2016) and in the NHS Economic Evaluation Database (through The Cochrane Library, January 2016). The complete search strategies are included in Additional file 3. Study design filters were applied to retrieve relevant studies. The selection process is presented in Fig. 1c.
Main characteristics of included studies were described in a tabulated format, including the following data: author and publication year, country, type of economic analysis, perspective of the analysis, time horizon and discounting, relevant outcomes and costs included, sources of information (baseline outcomes, relative intervention effects, resource use and costs), Quality Adjusted Life Years (QALY), Incremental Cost Effectiveness Ratio (ICER), sensitivity analysis and conflict of interest.
Quality of evidence
The quality of evidence for the resource requirements was rated according to GRADE . The NICE methodology checklist for economic evaluations  was used to assess the risk of bias and decide whether to include the studies. Included studies were of low risk of bias and were considered applicable to the European context.
Evidence to decision framework
To summarise the evidence, and in accordance to the GRADE methodology  and the interactive Evidence to Decision framework guidance , an EtD Framework was developed. The authors covered the role of the panel with respect to the EtD framework.
Evidence of effects of intensive follow-up on breast cancer outcomes
Five systematic reviews were included for the evaluation of health outcomes [30,31,32,33,34]. These systematic reviews were used as a source to identify primary studies. Eight papers, referring to six randomised clinical trials for a total of 3534 randomised women [35,36,37,38,39,40,41,42], were retrieved and included. These studies are summarised in Table 1.
The included studies had different definitions for intensive follow-up. In four studies, intensive follow-up referred to a greater number of diagnostic tests compared to regular follow-up [35, 36, 40, 42], while in two studies it referred to more frequent visits without modification in the number of diagnostic tests [37, 39]. Three studies compared an intensive versus a standard follow-up [35, 36, 42], while the other three compared a low-intensity patient-initiated versus a standard follow-up [37, 39, 40]. Five studies specified that patients (including the non-intensive follow-up group) underwent an annual mammography [35,36,37,38, 42]. No studies provided information about specific breast cancer mortality or survival. Among all studies, only the one carried out by the GIVIO group  reported the expected 5-year relative mortality reduction used for the calculation of sample size, i.e. 20% reduction; this threshold may be considered as the clinically significant mortality reduction expected.
Results and pooled analysis are provided when possible. Quantitative estimates are available only for the following outcomes, presented in Fig. 2:
10-year overall mortality: one trial , that compared intensive vs. standard follow-up in 1243 women, found a RR = 1.05 (95%CI: 0.90 to 1.22). The quality of evidence was high because non-blinding was not considered a cause of risk of bias for this outcome.
5-year overall mortality: three trials [35, 36, 40], on 3035 patients, that compared intensive vs. standard follow-up found a RR 1.00 (95%CI: 0.86 to 1.16; I2 = 0%). The 5-year mortality RR lower 95%CI did not reach the expected value for clinical significance either (vs. an expected 20% mortality reduction, as per GIVIO group outcome). The quality of evidence was high because non-blinding was not considered a cause of risk of bias for this outcome.
5-year breast cancer recurrences (any loco-regional and distant): three trials [35, 36, 40], on 3035 patients, that compared intensive and standard follow-up, resulted in a RR = 1.08 (95%CI: 0.89 to 1.30; I2 = 60%). The quality of evidence was moderate because it was downgraded for risk of bias (the outcome assessment was not blinded). From the clinical point of view, when the patient is diagnosed with recurrence, there will be an initiation of new treatments or change in the treatment, so we considered that non-blinding is not an issue in this case.
Breast cancer recurrences at any time: five trials [35, 36, 39, 40, 42], on 3217 women, found a RR = 1.10 (95%CI: 0.95 to 1.27; I2 = 23%, when comparing intensive vs. standard follow-up. The quality of evidence was moderate because it was downgraded for risk of bias (the outcome assessment was not blinded). As discussed above, non-blinding was not considered as an issue.
Satisfaction of women with the type of follow-up: satisfaction was measured as reassurance (capacity of the type of follow-up to clear patients’ doubts or fears) in two studies [37, 39] on 245 patients, and as convenience (suitability of the follow-up to the woman’s life circumstances) in one study  on 61 women. The results on reassurance were in favour of intensive follow-up (RR 1.28, 95%CI: 1.07 to 1.54; I2 = 90%). The overall quality of evidence was very low due to risk of bias (the studies were not blinded) and imprecision (the number of events is small). The results on convenience favoured non-intensive follow-up (RR 0.04, 95%CI: 0.01 to 0.31). The overall quality of evidence was low because evidence needed to be downgraded for risk of bias (the outcome assessment was not blinded) and imprecision (the number of events is very small).
For each studied outcome, the evidence profile is reported in Table 2.
Women’s values and preferences
Gulliford et al.  compared experiences of 193 patients with breast cancer, randomised into a group with a conventional schedule of clinic visits, and a group of less intensive follow-up. Both cohorts received identical mammography and were invited to call for immediate appointments if they detected symptoms. Stemmler et al.  conducted a surveillance study in a population of women with breast cancer; among the respondents, most (59%) belonged to an organised self-help group. Kimman et al.  conducted a multicentre discrete-choice experiment survey to measure the strength of preferences for several characteristics of breast cancer follow-up. The results of these three studies were inconsistent: in the first study, women appeared to prefer non-intensive follow-up schedules, while in the other two the preferences favoured intensive schedules. However, important variability was present among studies and within studies. There was low confidence in the evidence due to risk of bias and inconsistency.
The results of the review indicated that most of the regularly scheduled follow-up visits used further extensive laboratory and imaging procedures exceeding the quantity of examinations recommended in most of the current follow-up guidelines.
Robertson et al.  conducted a cost-utility analysis in the UK and provided estimated costs (in 2008 value) for different mammographic surveillance regimens in women after breast cancer surgery. By assuming the cost of a mammography and of a clinical follow-up visit to be 71 and 110 €, respectively, in a cohort of 10,000 UK women with a mean age of 57, total costs varied from 3.27 million € (mammographic surveillance every 2 years) to 16.8 million € (yearly mammographic and clinical follow-up) for a 10-year surveillance period. The study used a Markov model and found that the most cost-effective strategy was surveillance with mammography alone, provided every 12 months since the incremental cost-effectiveness ratio (ICER) for this strategy compared to no surveillance was € 6051 per QALY gained.
A cost-utility evaluation conducted in The Netherlands  analysed data (costs in 2008 value) on 299 patients randomised into four groups: (1) hospital follow-up; (2) nurse-led telephone follow-up; (3) hospital follow-up plus a short educational group programme (EGP); and (4) nurse-led telephone follow-up plus EGP. Hospital follow-up plus EGP had an ICER of 236 € per QALY compared to the next best alternative nurse-led telephone follow-up plus EGP. The other two strategies were dominated (higher costs and fewer QALYs). The authors concluded that nurse-led telephone follow-up combined with a short EGP could be a cost-effective option. However, they did not estimate the ICER of this strategy compared to standard follow-up. Furthermore, the time horizon of the study (one year) was clearly insufficient to evaluate the cost-effectiveness of compared alternatives.
The study of Oltra et al.  found that an intensive follow-up characterised by multiple laboratory and imaging tests triples average costs of the standard clinical follow-up without differences in early detection of relapses during the three years of follow-up. The study of Kokko et al.  found that the most expensive strategy doubled the costs of the cheapest one without important differences in breast cancer recurrences among them.
The quality of the evidence on economic evidence was moderate due to indirectness. The study  considered in the evidence to decision framework was conducted in the UK, and the results may not be applicable to other European countries.
The EtD framework was applied to conclude the assessment. The research question is summarised in Table 4, while Table 5 represents the assessment, carried out in its 12 domains: among others, the certainty of evidence (e.g., no statistically significant differences in mortality) between different types of follow-up), the important uncertainty and variability in women’s values, and the cost-effectiveness of the intervention (which favours non-intensive schedules) are crucial elements in drawing conclusions.
Finally, Table 6 reports the conclusions summarised by the authors, in the form of a suggestion to perform breast cancer follow-up once a year with a mammography visit, as opposed to other types of regimens.
Our results showed that intensive follow-up, compared with less intensive follow-up including more frequent diagnostic test or visits, does not have beneficial effects on 5- or 10 -year overall mortality or recurrences in women with breast cancer. This finding was consistent between the studies included, and the quality of the evidence was moderate. Among the included studies, two randomised trials showed that intensive follow-up appeared to increase reassurance in patents (data on 250 women; RR 1.28, 95% CI from 1.07 to 1.54) [37, 39]. However, the quality of the studies was downgraded due to the inconsistency of studies. The cost of different regimens of follow-up is variable, with more intensive regimes being more expensive but without increases in health benefits; thus less intensive regimes are favoured. From one cost-utility analysis , an annual visit with mammography results in moderate costs, can be considered cost-effective compared to no surveillance, and is likely to be feasible.
Our results in the context of previous results
The European Society of Medical Oncology (ESMO) Guidelines on breast cancer recommend regular visits every 3–4 months for the first 2 years after treatment (and gradually decreasing thereafter) in addition to an annual mammography . American Cancer Society/American Society of Clinical Oncology Guidelines  also recommend detailed cancer-related history and physical examination every 3 to 6 months for the first 3 years after primary therapy (and thereafter decreasing) in addition to a yearly mammography. Their recommendations would fall under the definition of a “less intensive follow-up” that, in the majority of the studies included in our review, would include at least a clinical visit and mammography once a year. However, intensive follow-up is still also quite common in clinical practice [48,49,50,51] and represents a significant workload for radiotherapy, surgery and oncology professionals , in addition to being a costly process.
A recently published systematic review on the effects of breast cancer follow-up showed that standard approaches are as effective as intensive ones; moreover, no differences in quality of life were documented . While considering the health outcomes, including mortality and recurrences, our results confirm the already reported results.
Limitations and strengths
Many of the studies included in our review were carried out in previous decades, and their results might be slightly outdated, given the recent substantial changes in breast cancer care ; However, our study also took into account further perspectives, by including also women’s preferences and values, and economic aspects, as adopted in the GRADE approach. The reviews on women’s values and preferences and economic evidence were, however, limited to English and for the last ten years and Medline only, and results would have been more robust if such reviews were carried out with a broader scope. Moreover, the suggestion for less intensive follow-up was built by using the EtD: this is a new approach in the clinical oncology field, but has been previously used already in breast cancer screening , colon cancer screening , as well as in other contexts . The EtD explicitly takes into account factors related, among others, to the quality of evidence, desirable and undesirable effects, values, resources and feasibility, that altogether constitute a comprehensive approach to a decision-making exercise. The suggestion reported in this paper was made by a multidisciplinary group of authors, but it should not be considered as a recommendation from a guideline panel.
Implications for practice and research
The main expectation from an intensified follow-up from a women’s perspective was reassurance and increased sense of security. This finding raises the need to better inform women on the lack of evidence of effect of intensive follow-up on clinical outcomes of mortality and recurrences. However, it needs to be considered that the follow-up visit may also have additional aims than detection of recurrence, such as motivating women to continue endocrine treatment during the follow-up period, providing information about long-term adverse effects of treatment, and helping in their management, as well as providing psychosocial support . These other aims of follow-up are very important in the light of the high prevalence of e.g., depression (varying from 9.4% to 66.1%), and anxiety (varying from 17.9% to 33.3%) among breast cancer survivors . These additional aspects should not be neglected and they should be better explored while evaluating the effects of different follow-up strategies. Hence, further well-designed studies should be performed. There is a need to balance and prioritise these different outcomes, including also additional patient-centred endpoints described above, as well as including undesirable effects of more frequent investigations. Moreover, organisational aspects related to the coordination of follow-up activities (i.e. nurse-led and GP-led activities, etc.) are only analysed in few studies  and should be better explored, as they may impact on the acceptance of the protocol by women, healthcare providers, etc. as well as on costs and feasibility.
From the clinical point of view, annual mammography is well justified to detect potential new primary or local recurrences. On the contrary more intensive follow-up schedules including additional diagnostic tests, such as breast MRI, liver ultrasound or bone scans could result in large costs without sufficient evidence regarding their benefits or harms.
In summary, based on these findings, less intensive follow-up could be recommended, although the exact format of the follow-up visit would need to be further clarified, as the studies used quite different follow-up schedules and tests. The treatment of breast cancer has become increasingly individualised  as the risk of breast cancer recurrences is very variable and is related, among other variables, to genetic predisposition of individual women, breast cancer characteristics and its treatment. Therefore, also the follow-up should be individualised based on the risk estimates, and on women’s perceptions and values. A “one size fits all” approach may not be relevant.
Based on the evaluation of clinical and economical outcomes carried out, a less intensive follow-up could be recommended. Patients should be provided with accurate information on the benefits (or lack of those) and harms of intensive follow-up. Resources could thus be mobilised to other aspects of breast cancer care, or other areas of healthcare, potentially increasing equity in society.
Confidence in the Evidence from Reviews of Qualitative research
Evidence to Decision
Grading of Recommendations Assessment, Development, and Evaluation
Incremental Cost Effectiveness Ratio
Patient, Intervention, Comparison, Outcomes
Quality Adjusted Life Years
Boyle P, Levin B. World cancer report. Lyon: IARC Press; 2008.
Ban KA, Godellas CV. Epidemiology of breast cancer. Surg Oncol Clin N Am. 2014;23:409–22.
Tao Z, Shi A, Lu C, Song T, Zhang Z, Zhao J. Breast cancer: epidemiology and etiology. Cell Biochem Biophys. 2015;72:333–8.
Coleman MP, Quaresma M, Berrino F, Lutz JM, De Angelis R, Capocaccia R, Baili P, Rachet B, Gatta G, Hakulinen T, et al. Cancer survival in five continents: a worldwide population-based study (CONCORD). Lancet Oncol. 2008;9:730–56.
Ferlay J, Soerjomataram I, Dikshit R, Eser S, Mathers C, Rebelo M, Parkin DM, Forman D, Bray F. Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012. Int J Cancer. 2015;136:E359–86.
Siegel R, Naishadham D, Jemal A. Cancer statistics, 2012. CA Cancer J Clin. 2012;62:10–29.
WHO. GLOBOCAN 2012: Estimated Cancer Incidence, Mortality and Prevalence Worldwide in 2012. http://globocan.iarc.fr/Default.aspx. Accessed 13 Oct 2017.
Khatcheressian JL, Hurley P, Bantug E, Esserman LJ, Grunfeld E, Halberg F, Hantel A, Henry NL, Muss HB, Smith TJ, et al. Breast cancer follow-up and management after primary treatment: American Society of Clinical Oncology clinical practice guideline update. J Clin Oncol. 2013;31:961–5.
Elmore JG, Armstrong K, Lehman CD, Fletcher SW. Screening for breast cancer. JAMA. 2005;293:1245–56.
Loprinzi CL. It is now the age to define the appropriate follow-up of primary breast cancer patients. J Clin Oncol. 1994;12:881–3.
Moschetti I, Cinquini M, Lambertini M, Levaggi A, Liberati A. Follow-up strategies for women treated for early breast cancer. Cochrane Database Syst Rev. 2016:CD001768.
Maass SW, Roorda C, Berendsen AJ, Verhaak PF, de Bock GH. The prevalence of long-term symptoms of depression and anxiety after breast cancer treatment: a systematic review. Maturitas. 2015;82:100–8.
Niessen LW, Bridges J, Lau BD, Wilson RF, Sharma R, Walker DG, Frick KD, Bass EB. Assessing the impact of economic evidence on policymakers in health care—a systematic review. Rockville: AHRQ Publication; 2012.
Treweek S, Oxman AD, Alderson P, Bossuyt PM, Brandt L, Brozek J, Davoli M, Flottorp S, Harbour R, Hill S, et al. Developing and evaluating communication strategies to support informed decisions and practice based on evidence (DECIDE): protocol and preliminary results. Implement Sci. 2013;8:6.
Guyatt GH, Oxman AD, Vist GE, Kunz R, Falck-Ytter Y, Alonso-Coello P, Schünemann HIGRADE. An emerging consensus on rating quality of evidence and strength of recommendations. BMJ. 2008;336:924–6.
Guyatt G, Oxman AD, Akl EA, Kunz R, Vist G, Brozek J, Norris S, Falck-Ytter Y, Glasziou P, DeBeer H, et al. GRADE guidelines: 1. Introduction-GRADE evidence profiles and summary of findings tables. J Clin Epidemiol. 2011;64:383–94.
Iorio A, Spencer FA, Falavigna M, Alba C, Lang E, Burnand B, McGinn T, Hayden J, Williams K, Shea B, et al. Use of GRADE for assessment of evidence about prognosis: rating confidence in estimates of event rates in broad categories of patients. BMJ. 2015;h870:350.
Langendam MW, Akl EA, Dahm P, Glasziou P, Guyatt G, Schunemann HJ. Assessing and presenting summaries of evidence in Cochrane reviews. Syst Rev. 2013;2:81.
Higgins JPT, Altman DG, Sterne JAC. Chapter 8: assessing risk of bias in included studies. In: Higgins JPT, green S (editors). Cochrane handbook for systematic reviews of interventions version 5.1.0 [updated march 2011]. The Cochrane collaboration; 2011.
World Health Organization. WHO handbook for guideline development. Geneva: WHO. Library. 2012;
Balshem H, Helfand M, Schunemann HJ, Oxman AD, Kunz R, Brozek J, Vist GE, Falck-Ytter Y, Meerpohl J, Norris S, et al. GRADE guidelines: 3. Rating the quality of evidence. J Clin Epidemiol. 2011;64:401–6.
Schünemann H, Brożek J, Guyatt G, Oxman A. Quality of evidence. In: Schünemann H, Brożek J, Guyatt G, Oxman a (editors). GRADE handbook for grading quality of evidence and strength of recommendations. Updated October 2013. The GRADE working. Group. 2013;
DerSimonian R, Laird N. Meta-analysis in clinical trials. Control Clin Trials. 1986;7:177–88.
Moher D, Shamseer L, Clarke M, Ghersi D, Liberati A, Petticrew M, Shekelle P, Stewart LA. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Syst Rev. 2015;4:1.
Lewin S, Glenton C, Munthe-Kaas H, Carlsen B, Colvin CJ, Gulmezoglu M, Noyes J, Booth A, Garside R, Rashidian A. Using qualitative evidence in decision making for health and social interventions: an approach to assess confidence in findings from qualitative evidence syntheses (GRADE-CERQual). PLoS Med. 2015;12:10.
Brunetti M, Shemilt I, Pregno S, Vale L, Oxman AD, Lord J, Sisk J, Ruiz F, Hill S, Guyatt GH, et al. GRADE guidelines: 10. Considering resource use and rating the quality of economic evidence. J Clin Epidemiol. 2013;66:140–50.
NICE. Appendix G: Methodology checklist: economic evaluations; 2012. https://www.nice.org.uk/process/pmg6/resources/the-guidelines-manual-appendices-bi-2549703709/chapter/appendix-g-methodology-checklist-economic-evaluations. Accessed 20 Dec 2016.
Schünemann H, Brożek J, Guyatt G, Oxman A. Summarizing the evidence. In: Schünemann H, Brożek J, Guyatt G, Oxman a (editors). GRADE handbook for grading quality of evidence and strength of recommendations. Updated October 2013. The GRADE working. Group. 2013;
GRADE/DECIDE. Interactive Evidence to Decision Frameworks. http://ietd.epistemonikos.org/#/help?show=guidance. Accessed 13 Oct 2017.
Collins RF, Bekker HL, Dodwell DJ. Follow-up care of patients treated for breast cancer: a structured review. Cancer Treat Rev. 2004;30:19–35.
Montgomery DA, Krupa K, Cooke TG. Follow-up in breast cancer: does routine clinical examination improve outcome? A systematic review of the literature. Br J Cancer. 2007;97:1632–41.
National Breast and Ovarian Cancer Centre. Follow-up of patients with early breast cancer. A systematic review. Surry Hills: National Breast and Ovarian Cancer Centre; 2009.
Robertson C, Ragupathy SK, Boachie C, Fraser C, Heys SD, Maclennan G, Mowatt G, Thomas RE, Gilbert FJ. Surveillance mammography for detecting ipsilateral breast tumour recurrence and metachronous contralateral breast cancer: a systematic review. Eur Radiol. 2011;21:2484–91.
Rojas MP, Telaro E, Russo A, Fossati R, Confalonieri C, Liberati A. Follow-up strategies for women treated for early breast cancer. Updated in 2012. Cochrane Database Syst Rev. 2000;4:CD001768.
Impact of follow-up testing on survival and health-related quality of life in breast cancer patients. A multicenter randomized controlled trial. The GIVIO Investigators. JAMA 1994;271:1587–1592.
Rosselli Del Turco M, Palli D, Cariddi A, Ciatto S, Pacini P, Distante V. Intensive diagnostic follow-up after treatment of primary breast cancer. A randomized trial. National Research Council project on breast cancer follow-up. JAMA. 1994;271:1593–7.
Gulliford T, Opomu M, Wilson E, Hanham I, Epstein R. Popularity of less frequent follow up for breast cancer in randomised study: initial findings from the hotline study. BMJ. 1997;314:174–7.
Palli D, Russo A, Saieva C, Ciatto S, Rosselli Del Turco M, Distante V, Pacini P. Intensive vs clinical follow-up after treatment of primary breast cancer: 10-year update of a randomized trial. National Research Council project on breast cancer follow-up. JAMA. 1999;281:1586.
Brown L, Payne S, Royle G. Patient initiated follow up of breast cancer. Psychooncology. 2002;11:346–55.
Kokko R, Hakama M, Holli K. Role of chest X-ray in diagnosis of the first breast cancer relapse: a randomized trial. Breast Cancer Res Treat. 2003;81:33–9.
Kokko R, Hakama M, Holli K. Follow-up cost of breast cancer patients with localized disease after primary treatment: a randomized trial. Breast Cancer Res Treat. 2005;93:255–60.
Oltra A, Santaballa A, Munarriz B, Pastor M, Montalar J. Cost-benefit analysis of a follow-up program in patients with breast cancer: a randomized prospective study. Breast J. 2007;13:571–4.
Stemmler HJ, Lässig D, Stieber P, Bauerfeind I, Kahlert S, Fasching PA, Beckmann MW, Glattes M, Goldmann-Posch U, Hoffmann V, et al. The reality in the surveillance of breast cancer survivors-results of a patient survey. Breast Cancer (Auckl). 2008;1:17–23.
Kimman ML, Dellaert BG, Boersma LJ, Lambin P, Dirksen CD. Follow-up after treatment for breast cancer: one strategy fits all? An investigation of patient preferences using a discrete choice experiment. Acta Oncol. 2010;49:328–37.
Kimman ML, Dirksen CD, Voogd AC, Falger P, Gijsen BC, Thuring M, Lenssen A, van der Ent F, Verkeyn J, Haekens C, et al. Economic evaluation of four follow-up strategies after curative treatment for breast cancer: results of an RCT. Eur J Cancer. 2011;47:1175–85.
Robertson C, Arcot Ragupathy SK, Boachie C, Dixon JM, Fraser C, Hernandez R, Heys S, Jack W, Kerr GR, Lawrence G, et al. The clinical effectiveness and cost-effectiveness of different surveillance mammography regimens after the treatment for primary breast cancer: systematic reviews registry database analyses and economic evaluation. Health Technol Assess. 2011;15(v-vi)
Senkus E, Kyriakides S, Ohno S, Penault-Llorca F, Poortmans P, Rutgers E, Zackrisson S, Cardoso F, et al. Primary breast cancer: ESMO clinical practice guidelines for diagnosis, treatment and follow-up. Ann Oncol. 2015;26(Suppl 5):v8–30.
Andreano A, Anghinoni E, Autelitano M, Bellini A, Bersani M, Bizzoco S. Cavalieri d'Oro L, Decarli a, Lucchi S, Mannino S, et al. indicators based on registers and administrative data for breast cancer: routine evaluation of oncologic care pathway can be implemented. J Eval Clin Pract. 2016;22:62–70.
Chopra I, Chopra A. Follow-up care for breast cancer survivors: improving patient outcomes. Patient Relat Outcome Meas. 2014;30(5):71–85.
Grandjean I, Kwast AB, de Vries H, Klaase J, Schoevers WJ, Siesling S. Evaluation of the adherence to follow-up care guidelines for women with breast cancer. Eur J Oncol Nurs. 2012;16:281–5.
Richert-Boe KE. Heterogeneity of cancer surveillance practices among medical oncologists in Washington and Oregon. Cancer. 1995;75:2605–12.
Bucchi L, Belli P, Benelli E, Bernardi D, Brancato B, Calabrese M, Carbonaro LA, Caumo F, Cavallo-Marincola B, Clauser P, et al. Recommendations for breast imaging follow-up of women with a previous history of breast cancer: position paper from the Italian Group for Mammography Screening (GISMa) and the Italian College of Breast Radiologists (ICBR) by SIRM. Radiol Med. 2016;121:891–6.
European Commission Initiative on Breast Cancer. Recommendations on Breast Cancer Screening. http://ecibc.jrc.ec.europa.eu/recommendations/. Accessed 13 Oct 2017.
Alsanea N, Almadi MA, Abduljabbar AS, Alhomoud S, Alshaban TA, Alsuhaibani A, Alzahrani A, Batwa F, Hassan AH, Hibbert D, et al. National Guidelines for colorectal cancer screening in Saudi Arabia with strength of recommendations and quality of evidence. Ann Saudi Med. 2015;35:189–95.
Gonzalez-Lorenzo M, Piatti A, Coppola L, Gramegna M, Demicheli V, Melegaro A, Tirani M, Parmelli E, Auxilia F, Moja L, et al. Conceptual frameworks and key dimensions to support coverage decisions for vaccines. Vaccine. 2015;33:1206–17.
Laporte C, Vaure J, Bottet A, Eschalier B, Raineau C, Pezet D, Vorilhon P. French women's representations and experiences of the post-treatment management of breast cancer and their perception of the general practitioner's role in follow-up care: a qualitative study. Health Expect. 2016;
Grunfeld E, Levine MN, Julian JA, Coyle D, Szechtman B, Mirsky D, Verma S, Dent S, Sawka C, Pritchard KI, et al. Randomized trial of long-term follow-up for early-stage breast cancer: a comparison of family physician versus specialist care. J Clin Oncol. 2006;24:848–55.
Cho SH, Jeon J, Kim SI. Personalized medicine in breast cancer: a systematic review. J Breast Cancer. 2012;15:265–72.
The authors wish to acknowledge the contribution of the European Commission Initiative on Breast Cancer (ECIBC) Quality Assurance Scheme Developing Group (QASDG) for having rated the outcomes and provided comments to the preliminary results of the systematic review.
Administrative Arrangement SANCO/2012/C – 17.030600/12//SI2.635313 between the European Commission Directorate-General Health and Food Safety and the Directorate-General Joint Research Centre.
Availability of data and materials
The datasets used and/or analysed during the current study available from the corresponding author on reasonable request.
Ethics approval and consent to participate
Consent for publication
The authors declare that they have no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
About this article
Cite this article
Lafranconi, A., Pylkkänen, L., Deandrea, S. et al. Intensive follow-up for women with breast cancer: review of clinical, economic and patient’s preference domains through evidence to decision framework. Health Qual Life Outcomes 15, 206 (2017). https://doi.org/10.1186/s12955-017-0779-5