Opinion | Published:

Reimagining the diagnostic pathway for gastrointestinal cancer

Nature Reviews Gastroenterology & Hepatology volume 15, pages 181188 (2018) | Download Citation

Abstract

A crisis is looming for the diagnosis of gastrointestinal cancers, one grounded only partly in the steady increase in their overall incidence. Public demand for diagnostic tests to be undertaken early and at lower levels of risk is reflected in early diagnosis being a widely held policy objective for reasons of both clinical outcome and patient experience. In the UK, urgent referrals for suspected lower gastrointestinal cancer have increased by 78% in the past 6 years, with parallel increases in endoscopy and imaging activity. Such growth in demand is unsustainable with current models of care. If gastrointestinal cancer diagnosis is to be affordable, the roles of professionals and their interactions with each other will need to be reframed while retaining public confidence in the process. In this Perspective, we consider how the relationship between medical specialists and generalists could be redefined to make better use of the skills of each while delivering optimal clinical outcomes and a good patient experience.

Access optionsAccess options

Rent or Buy article

Get time limited or full article access on ReadCube.

from$8.99

All prices are NET prices.

References

  1. 1.

    Diagnosing cancer earlier: reviewing the evidence for improving cancer survival. Br. J. Cancer 112, S1–S5 (2015).

  2. 2.

    et al. The impact of complaints procedures on the welfare, health and clinical practise of 7926 doctors in the UK: a cross-sectional survey. BMJ Open 5, e006687 (2015).

  3. 3.

    National Cancer Registration and Analysis Service. Personal Communication (27th April 2017).

  4. 4.

    Public Health England. The 2nd Atlas of Variation in NHS Diagnostic Services in England (PHE, 2017).

  5. 5.

    [No authors listed.] Public health profiles. Public Health England (2017).

  6. 6.

    et al. Scoping the future: an evaluation of endoscopy capacity across England (Cancer Research UK, 2015).

  7. 7.

    National Institute for Health and Care Excellence. Suspected cancer: recognition and referral, NICE Guideline (NG12). NICE (2015).

  8. 8.

    et al. The 2012 SAGE wait times program: Survey of Access to GastroEnterology in Canada. Can. J. Gastroenterol. 27, 83–89 (2013).

  9. 9.

    Australian Commission on Safety and Quality in Health Care. First Australian atlas of healthcare variation. ArcGIS (2015).

  10. 10.

    The Royal College of Radiologists. Clinical Radiology UK workforce census 2015 report (The Royal College of Radiologists, 2016).

  11. 11.

    Centre for Workforce Intelligence. Securing the future workforce supply: gastrointestinal endoscopy workforce review (CfWI, 2017).

  12. 12.

    & Are the serious problems in cancer survival partly rooted in gatekeeper principles? An ecologic study. Br. J. Gen. Pract. 61, e508–e512 (2011).

  13. 13.

    et al. Explaining variation in cancer survival between 11 jurisdictions in the International Cancer Benchmarking Partnership: a primary care vignette survey. BMJ Open 5, e007212 (2015).

  14. 14.

    , & Rethinking primary care's gatekeeper role BMJ 354, i4803 (2016).

  15. 15.

    et al. The expanding role of primary care in cancer control. Lancet Oncol. 16, 1231–1272 (2015).

  16. 16.

    Public Health England. Be Clear on Cancer. NHS England (2016).

  17. 17.

    Scottish Government. Detect cancer early. Scottish Government (2015).

  18. 18.

    NHS England. Be Clear on Cancer evaluation update 2014. Cancer Research UK (2014).

  19. 19.

    et al. Preferences for cancer investigation: a vignette-based study of primary-care attendees. Lancet Oncol. 15, 232–240 (2014).

  20. 20.

    et al. Self-reported symptoms and healthcare seeking in the general population -exploring “The Symptom Iceberg”. BMC Public Health 15, 685 (2015).

  21. 21.

    , , & Irritable bowel syndrome in general practice: prevalence, characteristics, and referral. Gut 46, 78 (2000).

  22. 22.

    [No authors listed.] Cancer statistics for the UK. Cancer Research UK (2017).

  23. 23.

    , , & Cancer incidence and mortality projections in the UK until 2035. Br. J. Cancer 115, 1147–1155 (2016).

  24. 24.

    et al. Is increased time to diagnosis and treatment in symptomatic cancer associated with poorer outcomes? Systematic review. Br. J. Cancer 112, S92–S107 (2015).

  25. 25.

    et al. Diagnostic interval and mortality in colorectal cancer: U-shaped association demonstrated for three different datasets. J. Clin. Epidemiol. 65, 669–678 (2012).

  26. 26.

    et al. Evidence of advanced stage colorectal cancer with longer diagnostic intervals: a pooled analysis of seven primary care cohorts comprising 11 720 patients in five countries. Br. J. Cancer (2017).

  27. 27.

    , , , & Cancer suspicion in general practice, urgent referral and time to diagnosis: a population-based GP survey and registry study. BMC Cancer 14, 636 (2014).

  28. 28.

    Medical decision-making by general practitioners and specialists. Fam. Pract. 8, 305–307 (1991).

  29. 29.

    & Decision Making in Health Care: Theory, Psychology and Applications (Cambridge Univ. Press, 2000).

  30. 30.

    & Clinical problem solving and diagnostic decision making: selective review of the cognitive literature. BMJ 324, 729–732 (2002).

  31. 31.

    , & The risk of colorectal cancer in ulcerative colitis: a meta-analysis. Gut 48, 526–535 (2001).

  32. 32.

    et al. The risk of oesophago-gastric cancer in symptomatic patients in primary care: a large case-control study using electronic records. Br. J. Cancer 108, 25–31 (2013).

  33. 33.

    The CAPER studies: five case-control studies aimed at identifying and quantifying the risk of cancer in symptomatic primary care patients. Br. J. Cancer 101, S80–S86 (2009).

  34. 34.

    New Zealand Guidelines Group. Suspected cancer in primary care: guidelines for investigation, referral and reducing ethnic disparities (NZGG, 2009).

  35. 35.

    , , , & People's willingness to accept overdetection in cancer screening: population survey. BMJ 350, h980 (2015).

  36. 36.

    et al. Symptoms and patient factors associated with longer time to diagnosis for colorectal cancer: results from a prospective cohort study. Br. J. Cancer 115, 533–541 (2016).

  37. 37.

    The Colorectal Cancer Referral Expert Panel. Referral of patients with suspected colorectal cancer by family physicians and other primary care providers (Cancer Care Ontario, 2017).

  38. 38.

    , , , & Implementing a Cancer Fast-track Programme between primary and specialised care in Catalonia (Spain): a mixed methods study. Br. J. Cancer 105, 753–759 (2011).

  39. 39.

    et al. International variation in adherence to referral guidelines for suspected cancer: a secondary analysis of survey data. Br. J. Gen. Pract. 66, e106–e113 (2016).

  40. 40.

    et al. Use of the English urgent referral pathway for suspected cancer and mortality in patients with cancer: cohort study. BMJ 351, h5102 (2015).

  41. 41.

    , , , & Secondary care intervals before and after the introduction of urgent referral guidelines for suspected cancer in Denmark: a comparative before-after study. BMC Health Services Res. 13, 348 (2013).

  42. 42.

    et al. The management of common gastrointestinal disorders in general practice: a survey by the European Society for Primary Care Gastroenterology (ESPCG) in six European countries. Dig. Liver Dis. 40, 659–666 (2008).

  43. 43.

    et al. Variation in gastroscopy rate in English general practice and outcome for oesophagogastric cancer: retrospective analysis of Hospital Episode Statistics. Gut 63, 250–261 (2014).

  44. 44.

    et al. Impact of investigations in general practice on timeliness of referral for patients subsequently diagnosed with cancer: analysis of national primary care audit data. Br. J. Cancer 112, 676–687 (2015).

  45. 45.

    NHS England. Diagnostic Imaging Dataset Statistical Release 2013. NHS England (2013).

  46. 46.

    , , , & Assessing the impact of an English national initiative for early cancer diagnosis in primary care. Br. J. Cancer 112, S57–S64 (2015).

  47. 47.

    et al. Survey of digestive health across Europe: Final report. Part 1: The burden of gastrointestinal diseases and the organisation and delivery of gastroenterology services across Europe. United European Gastroenterol. J. 2, 539–543 (2014).

  48. 48.

    et al. Cancer survival in Australia, Canada, Denmark, Norway, Sweden, and the UK, 1995–2007 (the International Cancer Benchmarking Partnership): an analysis of population-based cancer registry data. Lancet 377, 127–138 (2011).

  49. 49.

    & A differentiated approach to referrals from general practice to support early cancer diagnosis — the Danish three-legged strategy. Br. J. Cancer 112, S65–S69 (2015).

  50. 50.

    Diagnostikt Centrum. Regionalt Cancer Centrum (2017).

  51. 51.

    Norwegian Ministry of Health and Care Services. Together — against Cancer: National Cancer Strategy 2013–2017 (Norwegian Ministry of Health and Care Services, 2013).

  52. 52.

    [No authors listed.] About ACE: the Accelerate, Coordinate, Evaluate (ACE) Programme. Cancer Research UK (2017).

  53. 53.

    , & Rethinking diagnostic delay in cancer: how difficult is the diagnosis? BMJ 349, g7400 (2014).

  54. 54.

    & Symptoms and risk factors to identify men with suspected cancer in primary care: derivation and validation of an algorithm. Br. J. Gen. Pract. 63, e1–e10 (2013).

  55. 55.

    & Symptoms and risk factors to identify women with suspected cancer in primary care: derivation and validation of an algorithm. Br. J. Gen. Pract. 63, e11–e21 (2013).

  56. 56.

    et al. Evaluating a computer aid for assessing stomach symptoms (ECASS): study protocol for a randomised controlled trial. Trials 17, 184 (2016).

  57. 57.

    , , , & Implementing a QCancer risk tool into general practice consultations: an exploratory study using simulated consultations with Australian general practitioners. Br. J. Cancer 112, S77–S83 (2015).

  58. 58.

    [No authors listed.] Ada — personal health companion app. Ada (2017).

  59. 59.

    et al. Is there an added value of faecal calprotectin and haemoglobin in the diagnostic work-up for primary care patients suspected of significant colorectal disease? A cross-sectional diagnostic study. BMC Med. 14, 141 (2016).

  60. 60.

    et al. Published diagnostic models safely excluded colorectal cancer in an independent primary care validation study. J. Clin. Epidemiol. 82, 149–157.e8 (2017).

  61. 61.

    [No authors listed.] Primary Care Triage Academy. Handheld ultrasound scanning. (2017).

  62. 62.

    Boots. WebMD Symptom checker. (2017).

  63. 63.

    [No authors listed.] GI Bodyguard mobile app. Canadian Digestive Health Foundation (2017).

  64. 64.

    My Total Health. MyGiHealth app. (2017).

  65. 65.

    et al. Leveraging sequence-based faecal microbial community survey data to identify a composite biomarker for colorectal cancer. Gut (2017).

  66. 66.

    & Detection of molecular markers of cancer through the use of biosensors. Biol. Med. S2, 05 (2015).

  67. 67.

    , , & Colorectal cancer: CT colonography and colonoscopy for detection — systematic review and meta-analysis. Radiology 259, 393–405 (2011).

  68. 68.

    et al. Colon capsule endoscopy: European Society of Gastrointestinal Endoscopy (ESGE) Guideline. Endoscopy 44, 527–536 (2012).

  69. 69.

    , & Colon capsule endoscopy for the detection of colorectal polyps: an economic analysis. Ont. Health Technol. Assess. Ser. 15, 1–43 (2015).

  70. 70.

    , Surveillance for hepatocellular carcinoma: in whom and how? Therap Adv. Gastroenterol. 4, 5–10 (2015).

  71. 71.

    et al. Detection of cancer through exhaled breath: a systematic review. Oncotarget 6, 38643–38657 (2015).

  72. 72.

    et al. Non-invasive diagnosis of pancreatic cancer through detection of volatile organic compounds in urine. Gastroenterology (2017).

  73. 73.

    et al. Combined circulating tumor DNA a 74nd protein biomarker-based liquid biopsy for the earlier detection of pancreatic cancers. Proc. Natl Acad. Sci. USA 114, 10202–10207 (2017).

  74. 74.

    et al. A serum microRNA classifier for early detection of hepatocellular carcinoma: a multicentre, retrospective, longitudinal biomarker identification study with a nested case-control study. Lancet Oncol. 16, 804–815 (2015).

  75. 75.

    et al. MicroRNA biomarkers in whole blood for detection of pancreatic cancer. JAMA 311, 392–404 (2014).

  76. 76.

    , & Circulating tumor DNA as biomarkers for cancer detection. Genom. Proteom. Bioinformat. 15, 59–72 (2017).

  77. 77.

    & Molecular Detection of Gastrointestinal Neoplasia: Innovations in Early Detection and Screening. Gastroenterol. Clin. North Am. 45, 529–542 (2016).

  78. 78.

    , & Serum tumour markers: how to order and interpret them BMJ 339, b3527 (2009).

  79. 79.

    & Diagnostic value of serum carbohydrate antigen 19–19 in pancreatic cancer: a meta-analysis. Tumor Biol. 35, 7459–7465 (2014).

  80. 80.

    et al. New developments in the early diagnosis of pancreatic cancer. Expert Rev. Gastroenterol. Hepatol. 11, 149–156 (2017).

  81. 81.

    Circulating biomarkers to identify patients with resectable pancreatic cancer. J. Natl Cancer Inst. 109, djx004 (2017).

  82. 82.

    et al. A plasma biomarker panel to identify surgically resectable early-stage pancreatic cancer. J. Natl Cancer Inst. 109, djw341 (2017).

  83. 83.

    & Mathematical model identifies blood biomarker-based early cancer detection strategies and limitations. Sci. Transl Med. 3, 109ra116 (2011).

  84. 84.

    Acceptability and accuracy of a non-endoscopic screening test for Barrett's oesophagus in primary care: cohort study. BMJ 342, d543 (2011).

  85. 85.

    et al. Evaluation of a minimally invasive cell sampling device coupled with assessment of trefoil factor 3 expression for diagnosing Barrett's esophagus: a multi-center case-control study. PLoS Med. 12, e1001780 (2015).

  86. 86.

    et al. Risk stratification of Barrett's oesophagus using a non-endoscopic sampling method coupled with a biomarker panel: a cohort study. Lancet Gastroenterol. Hepatol. 2, 23–31 (2017).

  87. 87.

    , , , & Risk prediction models for colorectal cancer: a systematic review. Cancer Prev. Res. 9, 13–26 (2015).

  88. 88.

    et al. Quantifying the utility of single nucleotide polymorphisms to guide colorectal cancer screening. Future Oncol. 12, 503–513 (2016).

  89. 89.

    Independent Cancer Taskforce. Achieving world-class cancer outcomes: a strategy for England 2015–2020 (Cancer Research UK, 2015).

  90. 90.

    et al. Evidence for models of diagnostic service provision in the community: literature mapping exercise and focused rapid reviews. Health Services and Delivery Research, No. 4.35 (NIHR Journals Library, Southampton, UK, 2016).

  91. 91.

    [No authors listed.] The CanTest Collaborative. CanTest (2017).

  92. 92.

    et al. Routes to diagnosis for cancer - determining the patient journey using multiple routine data sets. Br. J. Cancer 107, 1220–1226 (2012).

  93. 93.

    Owlstone Medical. InTERCEPT trial. Owlstone Medical (2017).

  94. 94.

    QuantuMDx. Warfarin senistivity. QuantuMDx (2017).

  95. 95.

    et al. Multitarget stool DNA testing for colorectal-cancer screening. N. Engl. J. Med. 370, 1987–1997 (2014).

  96. 96.

    IBM. Watson for Patient Record Analytics (aka Watson EMRA). IBM Research (2017).

  97. 97.

    [No authors listed.] Arterys. Medical Imaging Cloud AI. (2017).

Download references

Acknowledgements

This research arises from the CanTest Collaborative (Cancer diagnostic testing in primary care: a paradigm shift for cancer diagnosis), which is funded by Cancer Research UK (award number C8640/23385). G.R., F.W. and J.E. are members of the CanTest Collaborative; N.de.W. is a member of the CanTest external stakeholder group. J.E. is funded by an Australian National Health and Medical Research Council Practitioner Fellowship.

Author information

Affiliations

  1. Institute of Health and Society, Newcastle University, Sir James Spence Institute, Royal Victoria Infirmary, Newcastle upon Tyne, NE1 4LP, UK.

    • Greg Rubin
  2. Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK.

    • Fiona Walter
  3. Centre for Cancer Research and Department of General Practice, University of Melbourne, Victoria Comprehensive Cancer Centre, 305 Grattan Street, Melbourne, Victoria 3010, Australia.

    • Jon Emery
  4. Julius Center for Health Sciences and Primary Care University Medical Center, Utrecht, Netherlands.

    • Niek de Wit

Authors

  1. Search for Greg Rubin in:

  2. Search for Fiona Walter in:

  3. Search for Jon Emery in:

  4. Search for Niek de Wit in:

Contributions

All authors contributed to the design and drafting of the manuscript, and all authors agreed on the final version as submitted.

Competing interests

The authors declare no competing financial interests.

Corresponding author

Correspondence to Greg Rubin.

About this article

Publication history

Published

DOI

https://doi.org/10.1038/nrgastro.2018.1