Investigator

Gary Abel

Professor of Medical Statistics and Health Services Research · University of Exeter, Department of Health and Community Science

GAGary Abel
Papers(4)
Understanding ethnic …The diagnostic perfor…CA125 and age-based m…The diagnostic perfor…
Collaborators(10)
Garth FunstonLiz DownTanimola MartinsEmma J CrosbieWilliam HamiltonRichard D NealSamuel W. D. MerrielJessica WatsonBrian RousDeepthi Lavu
Institutions(7)
Phillips Exeter Acade…Queen Mary University…The University of Man…University of ExeterUniversity of Manches…The University of Bri…National Cancer Regis…

Papers

Understanding ethnic inequalities in cancer diagnostic intervals: a cohort study of patients presenting suspected cancer symptoms to GPs in England

BackgroundUK Asian and Black patients experience longer cancer diagnostic intervals — the period between initial symptomatic presentation in primary care and cancer diagnosis.AimTo determine whether the differences in diagnostic intervals are because of prolonged primary care, referral, or secondary care interval.Design and settingA cohort study was undertaken of 70 971 patients with seven cancers (breast, lung, prostate, colorectal, oesophagogastric, myeloma, ovarian) diagnosed after symptom presentation in English primary care.MethodData on symptom presentation and diagnosis were extracted from cancer registry-linked primary care and secondary care data. Primary interval was defined as the period between first primary care presentation and secondary care referral, referral interval as the period between referral and first secondary care appointment, and secondary care interval as the period between the first secondary care appointment and diagnosis. Accelerated failure time models were used to investigate ethnic differences across all four intervals.ResultsAcross all sites, the median diagnostic interval was 46 days, ranging from 13 days for breast cancer to 116 days for lung cancer. It was 14% longer for Black patients (adjusted time ratio [ATR] 1.14, 95% confidence interval [CI] = 1.05 to 1.25) and 13% longer for Asian patients (ATR 1.13, 95% CI = 1.03 to 1.23) compared with White patients. Site-specific analyses showed that, for myeloma, lung, prostate, and colorectal cancer, the secondary care interval was longer in Asian and Black patients, who also had a longer primary care interval in breast and colorectal cancer. There was little evidence of ethnic differences in referral interval.ConclusionThis study found evidence of ethnic differences in diagnostic intervals, with prolonged secondary care intervals for four common cancers and prolonged primary care intervals for two. Although these differences are relatively modest, they are unjustified and may indicate shortcomings in healthcare delivery that disproportionately affect ethnic minorities.

The diagnostic performance of CA125 for the detection of ovarian and non-ovarian cancer in primary care: A population-based cohort study

The serum biomarker cancer antigen 125 (CA125) is widely used as an investigation for possible ovarian cancer in symptomatic women presenting to primary care. However, its diagnostic performance in this setting is unknown. We evaluated the performance of CA125 in primary care for the detection of ovarian and non-ovarian cancers. We studied women in the United Kingdom Clinical Practice Research Datalink with a CA125 test performed between 1 May 2011-31 December 2014. Ovarian and non-ovarian cancers diagnosed in the year following CA125 testing were identified from the cancer registry. Women were categorized by age: <50 years and ≥50 years. Conventional measures of test diagnostic accuracy, including sensitivity, specificity, and positive predictive value, were calculated for the standard CA125 cut-off (≥35 U/ml). The probability of a woman having cancer at each CA125 level between 1-1,000 U/ml was estimated using logistic regression. Cancer probability was also estimated on the basis of CA125 level and age in years using logistic regression. We identified CA125 levels equating to a 3% estimated cancer probability: the "risk threshold" at which the UK National Institute for Health and Care Excellence advocates urgent specialist cancer investigation. A total of 50,780 women underwent CA125 testing; 456 (0.9%) were diagnosed with ovarian cancer and 1,321 (2.6%) with non-ovarian cancer. Of women with a CA125 level ≥35 U/ml, 3.4% aged <50 years and 15.2% aged ≥50 years had ovarian cancer. Of women with a CA125 level ≥35 U/ml who were aged ≥50 years and who did not have ovarian cancer, 20.4% were diagnosed with a non-ovarian cancer. A CA125 value of 53 U/ml equated to a 3% probability of ovarian cancer overall. This varied by age, with a value of 104 U/ml in 40-year-old women and 32 U/ml in 70-year-old women equating to a 3% probability. The main limitations of our study were that we were unable to determine why CA125 tests were performed and that our findings are based solely on UK primary care data, so caution is need in extrapolating them to other healthcare settings. CA125 is a useful test for ovarian cancer detection in primary care, particularly in women ≥50 years old. Clinicians should also consider non-ovarian cancers in women with high CA125 levels, especially if ovarian cancer has been excluded, in order to prevent diagnostic delay. Our results enable clinicians and patients to determine the estimated probability of ovarian cancer and all cancers at any CA125 level and age, which can be used to guide individual decisions on the need for further investigation or referral.

CA125 and age-based models for ovarian cancer detection in primary care: a population-based external validation study

Abstract Background Cancer antigen-125 (CA125) is widely used to investigate symptoms of possible ovarian cancer (OC) in primary care. However, OC risk varies with age and CA125 level. We externally validated the Ovatools models, which provide CA125- and age-specific OC risk. Methods The performance of Ovatools in predicting OC diagnosis within 12 months of primary care CA125 was examined using English healthcare data for women &lt;50 and ≥50 years. Discrimination and calibration were examined, accuracy was calculated at varying risk thresholds and compared to CA125 ≥ 35U/ml. We estimated OCs missed/detected by Ovatools in hypothetical diagnostic pathways, including a two-threshold pathway where moderate risk (1–2.9%) triggered primary care ultrasound, and higher risk (≥3%) triggered urgent cancer referral. Results 342,278 women were included, 0.63% had OC. The AUC was 0.95 in women ≥50 and 0.89 in women &lt;50. When sensitivity/specificity were matched to CA125 ≥ 35U/ml, Ovatools showed marginally improved performance across other accuracy metrics in women ≥50 years. In a two-threshold pathway (≥50 years), 18.3% identified for urgent referral and 1% identified for ultrasound had OC. Discussion Ovatools performed well on external validation. Ovatools could be used to support informed decision-making and to triage women for further investigation based on cancer risk.

The diagnostic performance of CA-125 for the detection of ovarian cancer in women from different ethnic groups: a cohort study of English primary care data

Abstract Background CA-125 testing is a recommended first line investigation for women presenting with possible symptoms of ovarian cancer in English primary care, to help determine whether further investigation for ovarian cancer is needed. It is currently not known how well the CA-125 test performs in ovarian cancer detection for patients from different ethnic groups. Methods A retrospective cohort study utilising English primary care data linked to the national cancer registry was undertaken. Women aged ≥ 40 years with a CA-125 test between 2010 and 2017 were included. Logistic regression predicted one-year ovarian cancer incidence by ethnicity, adjusting for age, deprivation status, and comorbidity score. The estimated incidence of ovarian cancer by CA-125 level was modelled for each ethnic group using restricted cubic splines. Results The diagnostic performance of CA-125 differed for women from different ethnicities. In an unadjusted analysis, predicted CA-125 levels for Asian and Black women were higher than White women at corresponding probabilities of ovarian cancer. The higher PPVs for White women compared to Asian or Black women were eliminated by inclusion of covariates. Conclusion The introduction of ethnicity-specific thresholds may increase the specificity and PPVs of CA-125 in ovarian cancer detection at the expense of sensitivity, particularly for Asian and Black women. As such, we cannot recommend the use of ethnicity-specific thresholds for CA-125.

281Works
4Papers
16Collaborators
1Trials
NeoplasmsLung NeoplasmsOvarian NeoplasmsColorectal NeoplasmsDelayed DiagnosisNeoplasm StagingPancreatic Neoplasms

Positions

2024–

Professor of Medical Statistics and Health Services Research

University of Exeter · Department of Health and Community Science

2020–

Associate Professor

University of Exeter · Department of Health and Community Science

2016–

Senior Lecturer

University of Exeter · Institute for Health Research

2012–

Senior Research Associate Statistician

University of Cambridge · Primary Care Unit

2010–

Research Associate Statistician

University of Cambridge · Primary Care Unit

2007–

Senior Scientific Officer

British Antarctic Survey

2000–

Higher Scientific Officer

British Antarctic Survey

1999–

Research Fellow

University College, London · Mullard Space Science Laboratory

Education

2010

MSc Medical Statistics (Distinction)

London School of Hygiene & Tropical Medicine · Medical Statistics

1999

PhD

University College, London · Mullard Space Science Laboratory

1995

BSc Physics with Astrophysics (2i)

University of Manchester · Physics

Links & IDs
0000-0003-2231-5161

Researcher Id: ABE-1765-2021