ArticlePloS one2015
Age and Gender Variations in Cancer Diagnostic Intervals in 15 Cancers: Analysis of Data from the UK Clinical Practice Research Datalink.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 8 of them syntheses that pooled it.
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Who cites it
71 citing papers in PubMed, 8 syntheses or guidelines pooled it.
- A systematic review of factors associated with the patient and diagnostic intervals in gastric cancer.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2026Pooled it
- Cancer Risk Prediction Using Machine Learning for Supporting Early Cancer Diagnosis in Symptomatic Patients: A Systematic Review of Model Types.Cancer medicine · 2025Pooled it
- A systematic review of interventions to recognise, refer and diagnose patients with lung cancer symptoms.NPJ primary care respiratory medicine · 2022Pooled it
- Pooled it
- Factors affecting the decision to investigate older adults with potential cancer symptoms: a systematic review.The British journal of general practice : the journal of the Royal College of General Practitioners · 2022Pooled it
- Gender-specific differences in care-seeking behaviour among lung cancer patients: a systematic review.Journal of cancer research and clinical oncology · 2020Pooled it
- The influence of health literacy on the timely diagnosis of symptomatic cancer: A systematic review.European journal of cancer care · 2019Pooled it
- Quantifying intervals to diagnosis in myeloma: a systematic review and meta-analysis.BMJ open · 2018Pooled it
- Patient and Tumor Factors Influencing Diagnostic Trajectories in Gastrointestinal Stromal Tumor Patients and Their Impact on Health-Related Quality of Life: A Dutch Multicenter Study.Annals of surgical oncology · 2026Observational
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- Inequalities in cancer diagnostic outcomes for patients with a learning disability: a retrospective cohort study in England.BMJ oncology · 2026Article
- Gender and sex interactions are intrinsic components of cancer phenotypes.Nature reviews. Cancer · 2025Review
- Exploring colorectal cancer patients' diagnostic pathways and general practitioners' assessment of the diagnostic processes: a Danish survey study.Scandinavian journal of primary health care · 2025Article
- Are we ignoring sex differences in haematological malignancies? A call for improved reporting.British journal of haematology · 2025Review
- Young lung cancer: from diagnosis to survivorship.Frontiers in oncology · 2025Review
- The effect of comorbidities on diagnostic interval for lung cancer in England: a cohort study using electronic health record data.British journal of cancer · 2024Article
- Health inequalities in cancer care: a literature review of pathways to diagnosis in the United Kingdom.EClinicalMedicine · 2024Review
- Income differences in time to colon cancer diagnosis.Cancer medicine · 2024Article
- Anogenital HPV-Related Cancers in Women: Investigating Trends and Sociodemographic Risk Factors.Cancers · 2024Article
11 more citing papers are in PubMed but not listed here.
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Abstract
backgroundTime from symptomatic presentation to cancer diagnosis (diagnostic interval) is an important, and modifiable, part of the patient's cancer pathway, and can be affected by various factors such as age, gender and type of presenting symptoms. The aim of this study was to quantify the relationships of diagnostic interval with these variables in 15 cancers diagnosed between 2007 and 2010 using routinely collected data from the Clinical Practice Research Datalink (CPRD) in the UK.
methodsSymptom lists for each cancer were prepared from the literature and by consensus amongst the clinician researchers, which were then categorised into either NICE qualifying (NICE) or not (non-NICE) based on NICE Urgent Referral Guidelines for Suspected Cancer criteria. Multivariable linear regression models were fitted to examine the relationship between diagnostic interval (outcome) and the predictors: age, gender and symptom type.
results18,618 newly diagnosed cancer patients aged ≥40 who had a recorded symptom in the preceding year were included in the analysis. Mean diagnostic interval was greater for older patients in four disease sites (difference in days per 10 year increase in age; 95% CI): bladder (10.3; 5.5 to 15.1; P<0.001), kidney (11.0; 3.4 to 18.6; P=0.004), leukaemia (18.5; 8.8 to 28.1; P<0.001) and lung (10.1; 6.7 to 13.4; P<0.001). There was also evidence of longer diagnostic interval in older patients with colorectal cancer (P<0.001). However, we found that mean diagnostic interval was shorter with increasing age in two cancers: gastric (-5.9; -11.7 to -0.2; P=0.04) and pancreatic (-6.0; -11.2 to -0.7; P=0.03). Diagnostic interval was longer for females in six of the gender non-specific cancers (mean difference in days; 95% CI): bladder (12.2; 0.8 to 23.6; P=0.04), colorectal (10.4; 4.3 to 16.5; P=0.001), gastric (14.3; 1.1 to 27.6; P=0.03), head and neck (31.3; 6.2 to 56.5; P=0.02), lung (8.0; 1.2 to 14.9; P=0.02), and lymphoma (19.2; 3.8 to 34.7; P=0.01). Evidence of longer diagnostic interval was found for patients presenting with non-NICE symptoms in 10 of 15 cancers (mean difference in days; 95% CI): bladder (62.9; 48.7 to 77.2; P<0.001), breast (115.1; 105.9 to 124.3; P<0.001), cervical (60.3; 31.6 to 89.0; P<0.001), colorectal (25.8; 19.6 to 31.9; P<0.001), gastric (24.1; 3.4 to 44.8; P=0.02), kidney (22.1; 4.5 to 39.7; P=0.01), oesophageal (67.0; 42.1 to 92.0; P<0.001), pancreatic (48.6; 28.1 to 69.1; P<0.001), testicular (36.7; 17.0 to 56.4; P< 0.001), and endometrial (73.8; 60.3 to 87.3; P<0.001). Pooled analysis across all cancers demonstrated highly significant evidence of differences overall showing longer diagnostic intervals with increasing age (7.8 days; 6.4 to 9.1; P<0.001); for females (8.9 days; 5.5 to 12.2; P<0.001); and in non-NICE symptoms (27.7 days; 23.9 to 31.5; P<0.001).
conclusionsWe found age and gender-specific inequalities in time to diagnosis for some but not all cancer sites studied. Whilst these need further explanation, these findings can inform the development and evaluation of interventions intended to achieve timely diagnosis and improved cancer outcomes, such as to provide equity across all age and gender groupings.
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