Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Personalised cancer follow-up: risk stratification, needs assessment or both?

This article has been updated

There are approximately 2 million people now living with or beyond cancer in the UK (Maddams et al, 2009) and this number is increasing. Cancer survivors can experience physical, psychological and social consequences as a result of the disease and the treatments received (Jefford et al, 2008; Foster et al, 2009). The effects may be immediate, some of which will resolve and others may persist and become long-term. Late effects can also occur and the interval between the end of treatment and onset can range from a few weeks (e.g. lymphoedema after axillary node removal) to several years (e.g. heart disease following radiotherapy to the chest area). Problems will be individual to each patient due to a unique combination of circumstances including the site and stage of the cancer, the type of treatment(s) given, the age of the patient, genetic factors, concomitant co-morbidities, family and social circumstances, and personality traits.

The recent National Cancer Survivorship Initiative (NCSI) acknowledges the range of issues which cancer survivors may face, and highlights the need for health professionals to organise care accordingly (NCSI, 2010a). The recent NCSI Research Priorities Report (NCSI, 2010b) identified two areas of priority for research to inform practice: the establishment of large cohort studies (to determine the range and frequency of problems following treatment) and the development of risk stratification tools. However, the report did not develop a detailed definition of risk stratification nor did it elucidate what outcomes risk stratification should address.

The purpose of this paper, prepared by members of the Survivorship Sub-group of the National Cancer Research Institute Primary Care Clinical Studies Group, is therefore to further define the term risk stratification in relation to cancer survivorship; to propose a framework for risk stratification; and to consider what research is required to support its implementation. The focus of our paper is on stratifying risk in relation to the late effects of diagnosis and treatment. We do not therefore address prognostic risk stratification, a topic for which there is already a large body of literature.

Definition of risk

We have defined risk stratification as the process of quantifying the probability of a harmful effect to individuals resulting from a range of internal and external factors (e.g., demographic characteristics, genetic make-up, medical treatments). Risk must be differentiated from (healthcare) need, which is the capacity to benefit from health care. A need must be present at the time of assessment, unlike a risk, which implies something that might happen in the future. The assessment of both risk and need are required in the context of cancer survivorship. The categorisation of outcomes presented in Box 1, which we believe may warrant risk stratification following diagnosis and treatment of cancer, could also apply to needs assessment.

Risk stratification in cancer survivors

There are already many examples in medicine of clinical prediction tools to assess risk and determine clinical management. For example, Framingham and Q risk scores for cardiovascular risk and the Wells score for deep vein thrombosis. Some also exist in psychology, for example, the Social Readjustment Rating Scale (Holmes and Rahe, 1967) gives a risk score for later onset of stress-related illness on the basis of how many stressor events have been experienced.

The challenge in relation to cancer survivorship is to develop tools for stratifying individual risk across a range of outcomes (medical and psychosocial). This includes assessment of:

  • which patients are at risk of which adverse outcomes and the magnitude of the risk;

  • the significance of the risk in terms of its’ impact on the individual;

  • the availability of effective interventions;

  • the health economic implications of managing the risk.

This information will be useful to the health care system to specify the follow-up pathway, and to the patient to enable informed decisions about interventions and life style changes to reduce risk.

Currently, risk stratification in relation to cancer tends to focus on risk of recurrence and is used to inform follow-up pathways. However, there are as yet very few cancers, where there is good evidence to suggest early identification of recurrence reduces mortality: there is evidence for more intensive follow up of colorectal cancer reducing mortality (Renehan et al, 2002), but not breast cancer (Rojas et al, 2005). There also tends to be insufficient attention to psychosocial dimensions, which can be very important to patients and their families.

We propose that risk stratification should be viewed as a screening test whereby a population at potential risk (all cancer survivors) are offered a test (risk stratification tool) to determine those who need further investigation, intervention or support. Therefore, a modification of the Wilson–Junger criteria (Wilson and Junger, 1968) for an effective screening test could determine which cancer outcomes warrant risk stratification (Box 2). As well as the development of pre-symptomatic interventions, this approach would require additional knowledge of the timing and magnitude of these outcomes in a general population of cancer survivors (as opposed to the population followed up in clinical trials). This may be particularly problematic for psychosocial co-morbidities where the prediction of long-term problems is complex due to the subjective nature of symptoms and the multifaceted nature of variables, which might affect their onset.

Tables 1a and 1b describe the incidence of various treatment effects for breast and prostate cancer, respectively. Although there is some evidence available regarding the incidence of long-term and late effects, this is not always well described and, importantly, there are few proven interventions for those at high risk.

Table 1a Long-term and late effects following breast cancer treatment (Irwig and Bennetts, 1997; Petrek et al, 2001; Murphy et al, 2007; Ewertz and Jensen, 2011; NHS Information Centre, 2011)
Table 1b Long-term and late effects following prostate cancer treatment (Shahinian et al, 2005; Ganz, 2009; Smith et al, 2009; Harrison et al, 2011)

In terms of assessment after treatment is complete, long-term and late effects fall into three categories:

  • Those already present and where management will be determined by needs assessment.

  • Those problems that are not necessarily present immediately after treatment, but where our criteria for risk assessment are not fulfilled.

  • Those that fulfil the modified Wilson and Junger criteria and will therefore qualify for risk stratification.

The first category would include all long-term effects of treatment, for example, urinary and sexual problems resulting from the treatment of prostate cancer. Depression and anxiety may occur at any time and it might be possible to stratify the risk and timing of their occurrence. However, validated screening tools are available, and we suggest a needs assessment approach is most appropriate in this case. The second and third categories are more problematic. For example, the relationship between breast cancer treatment and heart failure is well established (Ewertz and Jensen, 2011) and it is possible to identify those at greatest risk using echocardiography. However, incidence is low and there is no evidence yet that pre-symptomatic treatment affects outcome (Wang et al, 2003) so this condition does not fulfil our criteria for risk assessment at present. In the case of osteoporosis following hormone therapy for treatment of prostate cancer, there is a good screening test available (bone mineral density screening) and there is an intervention available to reduce the risk of fractures (bisphosphonates), which is an important health problem (Greenspan et al, 2007). A risk assessment and stratification approach could therefore be beneficial in this case. However, there are currently very few late effects that qualify for risk assessment and stratification using these criteria, and we suggest that for now most long-term and late effects will be managed by needs assessment, continuing current practice of managing the problem as it arises. There is a range of screening tools already available for assessing physical and psychological needs, for example, Distress Thermometer, Health Anxiety and Depression Score (HADS) and International Prostate Symptom Score (IPSS).

Patient perspective

One important issue to consider is the extent to which patients wish to know their risks, especially when there may be few interventions to minimise these risks before they become an overt problem. Risk information can sometimes be complex, and we need to establish the best ways to convey information in a way that patients can understand and retain (Calman and Royston, 1997). There is the potential to cause more harm than benefit. For some, knowledge of future risk may be a significant risk factor for later anxiety, depression and fear. Some patients will prefer to put their cancer experience behind them at the end of treatment, and move on with their lives, and it is important they be allowed to do this (Khan et al, 2011). Others may wish to know the risks of recurrence and/or late effects and to take whatever preventive action or to seek help promptly if any problems occur. Currently it is not known when the optimal time is or what the optimal approach is to discuss risks with a patient, and who is best placed to do this.

A framework for risk stratification and needs assessment following cancer treatment

Risks will vary throughout the cancer trajectory and one single assessment may not be sufficient.

We propose the first time point for risk stratification is following diagnosis and pre-treatment. At this stage it is possible to stratify to a degree according to the known side-effect profile of certain treatments. Psychosocial factors could also influence the success or compliance with treatment recommendations. The second time point would be on completion of primary treatment. Whereas the ideal would be to have a single tool, in reality it is likely there will be a core tool addressing risks relevant to most cancers, with site-specific additions required. This would inform the follow-up strategy and care plan for the patient, and could be shared with the patient as appropriate. The NCSI is currently proposing that those patients at low risk of recurrence and late effects (physical and psychosocial) would be encouraged towards supported self-management, those at medium risk would have planned, co-ordinated care and those at high risk would receive complex care from specialist services. Needs assessment remains very important during follow-up and should complement risk stratification efforts. For non-complex cases, current cancer follow up usually involves 3–5 years of follow up under the care of a hospital consultant, and we would propose needs (medical and psychosocial) be monitored and addressed at each follow-up appointment. Guidelines should be drawn up to ensure all potential needs are assessed and there is uniformity among different hospitals. Patients are subsequently discharged from hospital follow-up to general practitioner care, and we propose this as the third time point when risk assessment and stratification would be appropriate. The GP (and patient if appropriate) would then be informed regarding possible risks, and the appropriate monitoring, screening and health promotion activities to undertake in the future. Currently patients have a cancer care review with their GP within 6 months of diagnosis. Although this often takes place before the end of active treatment, it does provide an important opportunity for an initial needs assessment in primary care. Additional cancer care reviews could become the vehicle for continuing needs assessment at regular (perhaps annual) intervals in the primary care setting, according to patient preferences (see Figure 1).

Figure 1
figure 1

A framework for holistic assessment3 of risks and needs.

What are the priorities for research?

Research is needed to establish how common late effects are for different cancer sites and treatment regimes, which factors (both physical and psychosocial) are amenable to risk assessment and stratification, how we elicit and assess these risks, what interventions are effective and, importantly, the level of benefit afforded to patients as a result. We also need to develop a better understanding of patients’ preferences in this area and to develop clear and effective strategies for communicating the various risks following treatment to patients and their families. There needs to be robust evaluation of risk stratification tools that are developed, including developing an understanding of factors, which influence compliance with recommended treatments or lifestyle changes.

Conclusions

Many individuals with cancer can now expect to be cured or to survive for long periods of time. However, survivors can experience a range of short and long-term physical and psychosocial sequelae following treatment, and methods of maximising recovery are needed. Long-term follow-up needs to be rationalised, and to be consistent across centres. Risk stratification, identifying those most likely to have significant problems in the future and intervening accordingly, is an attractive notion, which could inform commissioning of cancer services. The challenge is to individually stratify risk for each potential outcome in order to determine which patients are at risk of which outcomes, and the magnitude of the risk (both in its effect on the individual and the health economic implications). Risk stratification should, however, only be undertaken for outcomes where there are effective interventions, and a holistic approach to needs assessment remains important. For some, perhaps many, outcomes regular needs assessment is currently a more suitable approach than risk stratification.

Long-term follow up involving both needs and risk assessment, addressing both medical and psychosocial needs, is an enormous task and must be underpinned by good research evidence. We suggest that funding agencies plan a research programme immediately that will identify those late effects of cancer and its treatment that are important and amenable to modification to inform future follow-up regimes.

Change history

  • 29 March 2012

    This paper was modified 12 months after initial publication to switch to Creative Commons licence terms, as noted at publication

References

  • Calman KC, Royston G (1997) Personal paper: risk language and dialects. BMJ 315: 939–942

    CAS  Article  Google Scholar 

  • Ewertz M, Jensen AB (2011) Late effects of breast cancer treatment and potentials for rehabilitation. Acta Oncologica 50: 187–193

    Article  Google Scholar 

  • Foster C, Wright D, Hill H, Hopkinson J, Roffe L (2009) Psychosocial implications of living 5 years or more following a cancer diagnosis: a systematic review of the research evidence. Eur J Cancer Care 18 (3): 223–247

    CAS  Article  Google Scholar 

  • Ganz P (2009) Survivorship: adult cancer survivors. Prim Care Clin Office Pract 4 (36): 721–741

    Article  Google Scholar 

  • Greenspan SL, Nelson JB, Trump DL, Resnick NM (2007) Effect of once-weekly oral alendronate on bone loss in men receiving androgen deprivation therapy for prostate cancer. A randomized trial. Ann Intern Med 146: 416–424

    Article  Google Scholar 

  • Harrison SE, Watson EK, Ward AM, Khan NF, Turner D, Adams E, Forman D, Roche MF, Rose PW (2011) Primary health and supportive care needs of long-term cancer survivors: a questionnaire survey. J Clin Oncol 29: 2091–2098

    Article  Google Scholar 

  • Holmes T, Rahe RH (1967) The social readjustment rating scale. J Psychom Res 11: 213–218

    CAS  Article  Google Scholar 

  • Irwig L, Bennetts A (1997) Quality of life after breast conservation or mastectomy: a systematic review. Aust NZ Surg 67: 750–754

    CAS  Article  Google Scholar 

  • Jefford M, Karahalios E, Pollard A, Baravelli C, Carey M, Franklin J, Aranda S, Schofield P (2008) Survivorship issues following treatment completion – results from focus groups with Australian cancer survivors and health professionals. J Cancer Surviv 2: 20–23

    Article  Google Scholar 

  • Maddams J, Brewster D, Gavin A, Steward J, Elliott J, Utley M, Moller H (2009) Cancer prevalence in the UK: estimates for 2008. Br J Cancer 101: 541–547

    CAS  Article  Google Scholar 

  • Murphy BL, Thomson CS, Dodwell D, Shenoy H, Mikeljevic JS, Forman D, Horgan K (2007) Postoperative wound complications and systemic recurrence in breast cancer. Br J Cancer 97: 1211–1217

    Article  Google Scholar 

  • National Cancer Survivorship Initiative (2010a) Vision. January 2010. http://www.ncsi.org.uk/wp-content/uploads/NCSI-Vision-Document.pdf (accessed May 2011)

  • National Cancer Survivorship Initiative (2010b) Priorities for research on cancer survivorship. A report from the NCSI Research Workstream. June 2010. http://www.ncsi.org.uk/wp-content/uploads/NCSI-Research-Priorities-Report.pdf (accessed May 2011)

  • NHS Information Centre (2011) National Mastectomy and Reconstruction Audit 2011. NHS Information Centre: Leeds, UK

  • Petrek JA, Senie RT, Peters M, Rosen PP (2001) Lymphoedema in a cohort of breast carcinoma survivors 20 years after diagnosis. Cancer 92: 1369–1374

    Article  Google Scholar 

  • Renehan AG, Egger M, Saunders MP, O’Dwyer ST (2002) Cost effectiveness analysis of intensive versus conventional follow up after curative resection for colorectal cancer. BMJ 324: 813

    Article  Google Scholar 

  • Rojas MP, Telaro E, Russo A, Moschetti I, Coe L, Fossati R, Palli D, del Roselli TM, Liberati A (2005) Cochrane Database Syst Rev 25 (1): CD001768

  • Shahinian VB, Kuo YF, Goodwin JS (2005) Risk of fracture after androgen deprivation for prostate cancer. N Engl J Med 352 (2): 154–164

    CAS  Article  Google Scholar 

  • Smith DP, King MT, Egger S, Berry MP, Stricker PD, Cozzi P, Ward J, O’Connell DL, Armstrong BK (2009) Quality of life three years after diagnosis of localised prostate cancer: population based cohort study. BMJ 339: b4817

    Article  Google Scholar 

  • Wang TJ, Levy D, Benjamin EJ, Vasan RS (2003) The epidemiology of “asymptomatic” left ventricular systolic dysfunction: implications for screening. Ann Int Med 138: 907–916

    Article  Google Scholar 

  • Wilson JMG, Junger G (1968) Principles and Practice of Screening for Disease. World Health Organisation: Geneva

    Google Scholar 

Download references

Acknowledgements

Author contributions

This paper arose from discussions of the Survivorship Sub-Group of the NCRI Primary Care Clinical Studies Group. EW, PR, RN, NH-W, PD, GH, CC, DW, CW are all members of this group. EW and PR drafted the paper. JE provided the detailed comments on the first draft of the paper, which informed future versions. All co-authors read and commented on successive drafts and approved the final version. EW is the guarantor for the article.

Author information

Affiliations

Authors

Corresponding author

Correspondence to E K Watson.

Rights and permissions

From twelve months after its original publication, this work is licensed under the Creative Commons Attribution-NonCommercial-Share Alike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/

Reprints and Permissions

About this article

Cite this article

Watson, E., Rose, P., Neal, R. et al. Personalised cancer follow-up: risk stratification, needs assessment or both?. Br J Cancer 106, 1–5 (2012). https://doi.org/10.1038/bjc.2011.535

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/bjc.2011.535

Further reading

Search

Quick links