Cancer outcomes in England are poorer than European averages and this is considered to be due, at least in part, to diseases being identified at a late stage as a consequence of delayed diagnosis (Richards, 2009). Promotion of early diagnosis is therefore a central tenet of the UK Department of Health’s strategy, the overarching aim being to align UK survival rates with the best in Europe (Department of Health, 2011a). A range of interventions to promote early diagnosis have been introduced in the United Kingdom (including guidelines, targets and education campaigns) (Department of Health, 2000; NICE, 2005). These have had a mixed impact, however (Peacock et al, 2013; Neal et al, 2014), and as many as a quarter of people are still diagnosed with cancer after emergency presentation to secondary care (Elliss-Brookes et al, 2012), a route often associated with prolonged time to diagnosis, advanced stage disease and poorer survival (McPhail et al, 2013).

Collectively, haematological malignancies are common, being the fourth most frequently diagnosed cancer in both males and females in economically developed regions of the world (Jemal et al, 2008; Westlake, 2008; Ferlay et al, 2010). Traditionally categorised into four main groups (leukaemias, Hodgkin lymphomas, non-Hodgkin lymphomas (NHLs) and myeloma), these complex cancers actually comprise >60 different subtypes, each exhibiting different patterns of onset, progression, management and survival (Swerdlow et al, 2008). Issues relating to early diagnosis are particularly pertinent in these diseases as, compared with many other cancers, the pathway leading to diagnosis can be difficult and prolonged. These diseases are, for example, often associated with variable symptoms, prolonged time to help seeking, multiple primary care consultations before referral to secondary care, diverse referral pathways and an increased risk of being diagnosed after emergency presentation (Allgar and Neal, 2005; Howell et al, 2006, 2007, 2013; Department of Health, 2011b; Elliss-Brookes et al, 2012; Lyratzopoulos et al, 2012).

Further evidence-based understanding about factors impacting on the time taken to diagnose these cancers, and identification of means of facilitating and ensuring prompt diagnosis is therefore of particular importance. In 2011, a study was carried out in England, which aimed to examine time taken for patients’ to present to a doctor and seek help for a number of different cancers, including several haematological malignancy subtypes (Forbes et al, 2014). This study focused on risk factors (including symptoms and barriers to help seeking) associated with patients’ waiting >3 months before help seeking. The current paper describes detailed findings from this study, specifically focusing on the haematological malignancies, presenting data on a wider range of subtypes, focusing on symptoms that are known to be common in these diseases and examining barriers that may be specific to these cancers.

Materials and methods

The patients included in this paper are a subset of people who participated in the 2010 National Cancer Patient Experience Survey (NCPES) (Department of Health, 2010). This survey was distributed in England to all cancer patients (aged 16 years) receiving care across 158 NHS Trusts as day cases or in-patients, January to March inclusive, 2010. A total of 67 713 patients responded (67%); and 53 104 agreed they could be re-contacted for further research purposes, including 5925 with haematological malignancies. This group comprised patients with acute leukaemia (acute lymphoblastic—ICD-10 C91.0 and acute myeloid—ICD-10 C92.0), chronic lymphocytic leukaemia (CLL, ICD-10 C91.1), chronic myeloid leukaemia (CML, ICD-10 C92.1) multiple myeloma (ICD-10 C90) and NHL (ICD-10 C82-83).

For a number of different cancers, a further questionnaire was then mailed to a subset of patients, examining time to presentation and risk factors for waiting >3 months before first presentation to a doctor. In accordance with the Aarthus statement (Weller et al, 2012), this time period includes the appraisal interval, which is when the first symptoms or bodily changes are noticed by the patient, and the help seeking interval, which is the time taken to interpret the symptoms and/or changes and seek help. A time period of >3 months was used to indicate prolonged time to diagnosis as this has previously been found to have clinical importance (Richards et al, 1999). The additional questionnaire was sent to 200 patients randomly selected from each of the haematological disease groups listed above; and it is these findings which are the focus of the present paper.

Detailed information about the methods used in the second survey have already been published (Forbes et al, 2014). The survey instrument was a self-completed questionnaire; patients were asked to identify the symptom(s) that had caused them to see a doctor and led to their diagnosis from a predefined list (devised with clinical haematology experts). Patients were also asked to indicate the duration of time that had passed between first noticing the symptom(s) that led to diagnosis and presenting to a doctor (4 weeks, 4 weeks to 3 months and >3 months), the date of onset of the presenting symptom(s) and the date of their first appointment with a doctor. Finally, participants were asked to report what (if anything) had put them off seeing a doctor. The questionnaire was distributed between November 2011 and January 2012, and two reminders were sent to non-responders.

Duration of symptoms was calculated based on the time that had passed between first noticing the symptoms that led to diagnosis and presenting to a doctor. If this information was not available, the first symptom that had both date of symptom onset and date of first doctor’s appointment was used. Area-based measures of deprivation were sourced from national data, the Index of Multiple Deprivation (IMD) being used to categorise individuals into quintiles (one to five): quintile one being the most affluent and quintile five the least (Public Health Observatory, 2011). Relative risks (with 95% confidence intervals) were calculated for time to presentation of >3 months by subtype, presenting symptoms and any reason for putting off going to the doctor. Age, sex and deprivation category were controlled for owing to the possibility that these might influence time to diagnosis (Ramirez et al, 1999; Macleod et al, 2009).

The NCPES reported perceptions of NHS patient care and was designed to improve services, so ethics approval was not sought. All patients had, however, consented to being approached again for further research purposes.


Completeness of sample and response

Of the 5925 patients with haematological cancers who participated in the 2010 NCPES and agreed they could be contacted again for further research, 4820 (81.4%) were alive in November 2011. As expected, the proportion alive varied by diagnostic group, ranging from 89.3% among patients with CML to 68.1% in those with acute leukaemia. Of the 1000 individuals sent the survey (200 from each group), a total of 785 patients (79.4%) completed and returned the questionnaire, and there was little variation in response by diagnostic subtype (Table 1).

Table 1 Proportion of patients with haematological malignancies who took part in the 2010 NCPES (n=5925) who were alive in November 2011 and responded to the second survey


Patients were diagnosed at various time intervals prior to participation in the NCPES in 2010. All patients with CLL, myeloma and NHL were diagnosed in the year before the survey, along with 90% of patients with acute leukaemia and 36% with CML. Ten percent of patients with acute leukaemia and 44% with CML were diagnosed 1–5 years before the survey; and 20% with CML were diagnosed >5 years before.

The average age of participants was 58 years (range 14–84), and those with acute leukaemia and CML were younger than the remaining groups (53 years, range 14–80 and 52 years, range 22–80, respectively). The vast majority of participants (95.4%) were of white ethnic origin and a larger proportion were from IMD quintile one (25.8%) than quintile five (13%).

What were the symptoms that led to a diagnosis of cancer?

Of the 785 patients who returned a questionnaire, 654 reported at least one symptom (83.3%) (Table 2). Presence or absence of symptoms varied by diagnostic group; patients with NHL were most likely to report symptoms (95%), followed by those with acute leukaemia (91.6%), CML (83.2%), myeloma (78.7%) and CLL (67.9%).

Table 2 Symptomsa reported by 654 patients with at least one symptom, by diagnosis

Similarities and differences in symptoms were identified between disease subtypes. Across all diagnoses, systemic symptoms were most common (particularly extreme fatigue/tiredness, unusual sweating at night, unexpected weight-loss and pallor), followed by pain, chest problems, lymphadenopathy and bleeding. Looking more specifically within the systemic symptoms, extreme fatigue/tiredness was particularly apparent among patients with acute leukaemia (70.9%) and CML (61.2%), and unusual night sweats was most common in patients with CML (39.6%) and CLL (35.2%).

As expected, symptoms became increasingly disease specific beyond this: pallor and bruising/bleeding was most commonly associated with the acute leukaemias; abnormal lumps were the most common symptom in CLL and NHL, along with abdominal discomfort; and bone pain/discomfort was the most frequent symptom of myeloma. Although pain was the most common symptom reported for myeloma (77.1%), it was also frequently reported in other diseases, including CML (49.3%), NHL (30.1%), acute leukaemia (29.1%) and CLL (20.4%). A plethora of additional symptoms were noted, including unusual itching, fever and thirst.

What put you off going to the doctor?

Of the 654 patients with symptoms, 380 (58.1%) reported a reason for putting off going to the doctor (Table 3), and there was marked variation by diagnostic group. Patients with CML were most likely to report reasons (90.3%), followed by acute leukaemia (68.1%), NHL (47.7%), myeloma (43.2%) and CLL (36.1%). Overall, a third of patients with symptoms (218/654) said they did not seek medical help earlier because they did not realise their symptoms were serious, most commonly patients with CML (47%) and acute leukaemia (39.7%).

Table 3 Frequency of reported barriers to seeking help from the doctor

Of patients who said they had not realised that their symptoms were serious, the most commonly reported problems were fatigue, bleeding and shortness of breath in acute leukaemia; fatigue, lump and shortness of breath in CLL; fatigue, night sweats and weight loss in CML; bone pain and fatigue in myeloma; and fatigue, lump and shortness of breath in NHL.

How long was it from noticing symptoms to first seeing a doctor?

Of patients reporting at least one symptom, 91% (n=597) had data available on duration of symptoms, and this ranged from 81% in CLL to 95% in both NHL and CML. Overall, 16% (n= 104) of patients waited >3 months before going to see a doctor. Patients with CML were most likely to report this (n=32, 24%), followed by CLL (n=19, 17%), NHL (n=26, 17%), myeloma (n=18, 15%) and acute leukaemia (n=9, 6%).

Risk factors for waiting >3 months before presentation

With respect to symptom types across all diseases, the risk of waiting >3 months to first presentation for help seeking was significantly increased among those with unusual sweating at night, thirst, pain or discomfort in the tummy, pallor, extreme fatigue/tiredness; and these findings remained after adjusting for age, sex and deprivation (Table 4). Patients who did not think their symptom(s) were serious (n=51/210, 24.3%) were more likely to put off going to the doctor for >3 months (RR (adjusted) 1.84, 95% CI 1.24–2.67).

Table 4 Risk factors and time to presentation: patients waiting >3 months before presentation compared with those who did not


Waiting >3 months before symptomatic presentation to a doctor occurred across the haematological malignancies included in this survey. This varied considerably by subtype, however, being relatively common in CML (24% of patients) and less so in the acute leukaemias (10% of patients). Some symptoms were frequent across all diseases, particularly those that were systemic, such as fatigue. Other symptoms, however, were more specific to individual diseases, including pallor and bruising/bleeding in the acute leukaemias, abnormal lumps in CLL and NHL and bone pain in myeloma. The risk factors for waiting >3 months before seeking help varied by disease and symptom type, with many patients reporting that this occurred because they did not realise their symptoms were serious.

Few studies have examined symptoms prior to diagnosis of haematological malignancies. Those that have, have tended to use differing approaches, with some including blood parameters (e.g., anaemia), clinical signs (e.g., hepatosplenomegaly) and complications (e.g., renal failure), or predetermining symptom choices, while others did not. Studies examining time intervals preceding diagnosis are associated with similar inconsistencies, for example, in definitions of the time periods examined, the methods used and the way in which results are presented (Weller et al, 2012).

With respect to symptoms, however, our findings are comparable with those of a recent UK study examining self-reported symptoms and time to diagnosis in >3000 patients with haematological malignancies (Howell et al, 2013). This study reported a similar pattern in the presence/absence of symptoms by disease subtype, patients with NHL being the most likely to have symptoms and patients with CLL the least. Further similarities existed, for example, in the frequency with which systemic symptoms (particularly fatigue) and pain were reported across all diseases and also the frequency that certain symptoms were reported by subtype (e.g., bleeding and bruising in acute leukaemia, lymphadenopathy in lymphoma and pain in myeloma). Overlap was also noted with findings of other studies examining CML, myeloma and CLL (Ong et al, 1995; Kariyawasan et al, 2007; Irfan and Bhurgri, 2009; Friese et al, 2011).

A number of recent studies have examined the positive predictive value of symptoms of haematological malignancies using GP records (Shephard et al, 2015a, 2015b, 2015c). Our findings are again largely comparable; with lymphadenopathy, for example, being common and strongly predictive of lymphoma. We presented a wider range of symptoms than those in the original paper by Forbes et al (2014) and identified those that were significantly associated with waiting >3 months before presentation—notably thirst, night sweats, pallor, abdominal pain and extreme fatigue.

With respect to time to presentation, a number of studies have examined this interval, although with various definitions and categorisations. Findings from the largest, most recent UK study found similar patterns to those reported here, with time to presentation (i.e., the patient interval) being longest for CML (33.5 days), followed by myeloma (31 days) and CLL (22 days); the acute leukaemias had shorter intervals (13–16 days), and the lymphomas varied markedly by subtype (9–30 days; Howell et al, 2013). Similarly, a further UK study found comparable results, though identified non-prompt presentation at 15 days (Keeble et al, 2014). Studies focusing solely on lymphoma showed variable average patient intervals (Summerfield et al, 2000; Allgar and Neal, 2005; Howell et al, 2006; Hansen et al, 2011), perhaps due to changes over time, but also due to the inclusion of different subtypes of lymphoma.

Strengths and weaknesses

The design and reporting system used in the study complied largely with the Aarhus Statement, ensuring consistency in definitions and methods and so comparability with future research examining prediagnostic pathways (Weller et al, 2012). Symptom categories were haematology specific and predetermined by clinical experts, thereby limiting options that could be selected to those commonly associated with the target diseases. Whilst this minimised the reporting of symptoms potentially unrelated to the haematological malignancy, it may also have inhibited the reporting of rarer or unusual symptoms, particularly among the lymphomas, where symptoms vary according to disease site(s).

This study differentiated between several haematological cancers, which effectively highlighted variations between these diseases; a characteristic often lost when subtypes are combined. NHLs were, however, considered collectively, combining multiple subtypes including those that are generally indolent (such as follicular and marginal zone lymphomas) with those that are more aggressive (such as diffuse large B-cell lymphoma). Similarly, acute lymphoid and myeloid leukaemias were grouped together, although patients with these cancer diseases have very different age profiles. Consequently, it is possible that variations between these disease categories may have been masked.

In addition, a number of subtypes were omitted from the sampling frame, one being the Hodgkin lymphomas. Although our previous work did not indicate that the symptoms associated with these diseases varied substantially from other lymphomas (Howell et al, 2013), it is possible that some differences may exist. Furthermore, the categorisation of prolonged delay (i.e., waiting >3 months before presentation) was identified in the original study as a marker for all cancers combined (Forbes et al, 2014). Use of this time point may not, therefore, be wholly appropriate in the context of haematological malignancies.

The present study has a number of limitations that may impact on generalisability, the first being that participants are considerably younger and more affluent than average for these diseases (Smith et al, 2011, 2015). Also, the sample of patients included in our study is derived from the NCPES; and the number of ethnic minority respondents to this survey was reported to be substantially less than the population as a whole (Department of Health, 2010). As a result, we cannot be sure our findings apply to those of non-White ethnic origin. The NCPES was also directed at people with in-patient/day-case episodes; and these patients may have had different characteristics/experiences than those treated wholly in the outpatient setting. Those receiving in-patient care, for example, may have had more aggressive or complex disease or been generally sicker than the patient population as a whole.

NCPES participants were also diagnosed at various time intervals prior to completion of the survey that, in common with many such studies using self-reported data, could lead to variation in their ability to remember events in the time leading to presentation and thus recall bias. Finally, the study targeted patients who had taken part in the NCPES (administered in the first quarter of 2010) who were still alive in November 2011, which may introduce survivor bias as the experiences of these people may be different from those of people dying before this time. Importantly, the early deaths may comprise a greater proportion of patients with later stage disease at diagnosis, possibly as a result of longer time to presentation/diagnosis, as well as those with more aggressive diseases, such as the acute leukaemias and some lymphomas.

Interpretation and implications for practice

‘Not realising symptom(s) were serious’ was a clear risk factor for waiting >3 months before presentation and has been previously reported in patients with haematological malignancies (Howell et al, 2008). This may occur because many of the symptoms (e.g., fatigue, lymphadenopathy and bone pain), are common in the general population and often benign and self-limiting. Patients may justify such symptoms: fatigue may be considered a natural consequence of aging; lymphadenopathy may be attributed to localised infection (if around the neck) or a hernia (if in the groin); and bone pain to age-related ‘wear and tear’. The same may occur for other rarer symptoms, such as genuine drenching night sweats, which might be attributed by women to expected menopausal symptoms. This process of ‘normalising’ symptoms has been reported in other studies and is thought to be associated with prolonged time to help seeking (Whitaker et al, 2014, 2015).

A further factor that may lead patients to conclude that their symptoms are not serious, and result in them waiting longer before seeking help, is the patients’ expectations of what cancer might be like. For example, they may expect symptoms to be painful, constant, associated with a feeling of ill health and gradually becoming worse. However, a previous study of lymphoma (Howell et al, 2008) reported that patients often experienced abnormal lumps that were intermittent and painless and were not associated with feelings of ill health or progression; alternatively, patients also reported unexplained malaise, with no additional symptoms. These symptoms led patients to believe they had self-limiting, benign illnesses, rather than cancer. Also, despite some symptoms being indicative of individual subtypes, these may be varied and a clear ‘symptom signature’ (such as a breast lump in breast cancer) does not exist. There is also a lack of awareness about these diseases, and the range and combination of symptoms that may accompany them, among the general public (Howell et al, 2008).

Failure to recognise symptoms of cancer has been tackled in the past by campaigns such as Cancer Research UK’s ‘Be Clear on Cancer’. Although this approach may be more challenging for the diversely presenting haematological malignancies, this would be a useful first step in raising awareness of these complex cancers. Any such initiatives must, however, be balanced against finite resources and the reality that many people with symptoms will not, in fact, have cancer. Furthermore, it is important to recognise that haematological malignancies are diagnosed using an array of complex laboratory and clinical tests, and a simple first-line screening procedure, such as the PSA test used to identify potential prostate cancers, is not currently available.

The differences noted by subtype in the proportion of people waiting >3 months before presentation are unsurprising. Those with acute leukaemia are probably less likely to wait because onset of this disease is typically acute, progression and debility can occur rapidly and urgent medical intervention, often via emergency presentation, is required. The remaining diseases are generally more indolent in their onset and progression and ensuring early presentation in this group is more challenging.

The importance of avoiding prolonged time to diagnosis of haematological malignancies to ensure earlier stage of disease at diagnosis and also to accrue survival advantages is not as clear as it is for other cancers. It is likely that the tumour type and biology have greater impact on outcomes for some subtypes, than time to presentation. Acute leukaemias, for example, are usually associated with shortest waiting time before seeking help (as identified in this study, for the reasons stated above) but typically have poor survival compared with other subtypes. Longer time to presentation of indolent lymphoma, however, may have less impact on survival, as these diseases are not typically treated at the earliest opportunity postdiagnosis, but rather according to symptom burden. Also, patients with indolent lymphomas, for example, are often diagnosed with late-stage disease regardless of the time taken to seek help; these diseases are characterised by bone marrow involvement, which is automatically categorised at stage 4. Despite this paradox, a definitive diagnosis is still required as early as possible so that treatment decisions can be made that are appropriate for the disease subtype. Furthermore, an excessive time period prior to diagnosis may result in end-organ damage (such as renal failure in myeloma and fractures), and the benefits of avoiding this are obvious.

Future research

Presentation to a doctor is just one aspect of the time taken to diagnose a haematological malignancy. The doctor must then recognise that the presenting symptoms could indicate a haematological malignancy and make timely and appropriate referrals into secondary care. Further research is needed, alongside primary care practitioners, to identify mechanisms by which patients can be identified as early as possible, and routes to haematology and diagnosis can be as seamless as possible.