Karin Williamson
Nottingham City Hospital
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Featured researches published by Karin Williamson.
The Lancet | 2016
Ian Jacobs; Usha Menon; Andy Ryan; Aleksandra Gentry-Maharaj; Matthew Burnell; Jatinderpal Kalsi; Nazar Najib Amso; Sophia Apostolidou; Elizabeth Benjamin; Derek Cruickshank; Danielle N Crump; Susan K Davies; Anne Dawnay; Stephen Dobbs; Gwendolen Fletcher; Jeremy Ford; Keith M. Godfrey; Richard Gunu; Mariam Habib; Rachel Hallett; Jonathan Herod; Howard Jenkins; Chloe Karpinskyj; Simon Leeson; Sara Lewis; William R Liston; Alberto Lopes; Tim Mould; John Murdoch; David H. Oram
Summary Background Ovarian cancer has a poor prognosis, with just 40% of patients surviving 5 years. We designed this trial to establish the effect of early detection by screening on ovarian cancer mortality. Methods In this randomised controlled trial, we recruited postmenopausal women aged 50–74 years from 13 centres in National Health Service Trusts in England, Wales, and Northern Ireland. Exclusion criteria were previous bilateral oophorectomy or ovarian malignancy, increased risk of familial ovarian cancer, and active non-ovarian malignancy. The trial management system confirmed eligibility and randomly allocated participants in blocks of 32 using computer-generated random numbers to annual multimodal screening (MMS) with serum CA125 interpreted with use of the risk of ovarian cancer algorithm, annual transvaginal ultrasound screening (USS), or no screening, in a 1:1:2 ratio. The primary outcome was death due to ovarian cancer by Dec 31, 2014, comparing MMS and USS separately with no screening, ascertained by an outcomes committee masked to randomisation group. All analyses were by modified intention to screen, excluding the small number of women we discovered after randomisation to have a bilateral oophorectomy, have ovarian cancer, or had exited the registry before recruitment. Investigators and participants were aware of screening type. This trial is registered with ClinicalTrials.gov, number NCT00058032. Findings Between June 1, 2001, and Oct 21, 2005, we randomly allocated 202 638 women: 50 640 (25·0%) to MMS, 50 639 (25·0%) to USS, and 101 359 (50·0%) to no screening. 202 546 (>99·9%) women were eligible for analysis: 50 624 (>99·9%) women in the MMS group, 50 623 (>99·9%) in the USS group, and 101 299 (>99·9%) in the no screening group. Screening ended on Dec 31, 2011, and included 345 570 MMS and 327 775 USS annual screening episodes. At a median follow-up of 11·1 years (IQR 10·0–12·0), we diagnosed ovarian cancer in 1282 (0·6%) women: 338 (0·7%) in the MMS group, 314 (0·6%) in the USS group, and 630 (0·6%) in the no screening group. Of these women, 148 (0·29%) women in the MMS group, 154 (0·30%) in the USS group, and 347 (0·34%) in the no screening group had died of ovarian cancer. The primary analysis using a Cox proportional hazards model gave a mortality reduction over years 0–14 of 15% (95% CI −3 to 30; p=0·10) with MMS and 11% (−7 to 27; p=0·21) with USS. The Royston-Parmar flexible parametric model showed that in the MMS group, this mortality effect was made up of 8% (−20 to 31) in years 0–7 and 23% (1–46) in years 7–14, and in the USS group, of 2% (−27 to 26) in years 0–7 and 21% (−2 to 42) in years 7–14. A prespecified analysis of death from ovarian cancer of MMS versus no screening with exclusion of prevalent cases showed significantly different death rates (p=0·021), with an overall average mortality reduction of 20% (−2 to 40) and a reduction of 8% (−27 to 43) in years 0–7 and 28% (−3 to 49) in years 7–14 in favour of MMS. Interpretation Although the mortality reduction was not significant in the primary analysis, we noted a significant mortality reduction with MMS when prevalent cases were excluded. We noted encouraging evidence of a mortality reduction in years 7–14, but further follow-up is needed before firm conclusions can be reached on the efficacy and cost-effectiveness of ovarian cancer screening. Funding Medical Research Council, Cancer Research UK, Department of Health, The Eve Appeal.
BMJ | 2008
Usha Menon; Aleksandra Gentry-Maharaj; Andrew M. Ryan; Aarti Sharma; Matthew Burnell; Rachel Hallett; Sara Lewis; Alberto Lopez; Keith M. Godfrey; David H. Oram; Jonathan Herod; Karin Williamson; Mourad W. Seif; Ian A. Scott; Tim Mould; Robert Woolas; John Murdoch; Stephen Dobbs; Nazar Najib Amso; Simon Leeson; Derek Cruickshank; Alistair McGuire; Stewart Campbell; Lesley Fallowfield; Steve Skates; Mahesh Parmar; Ian Jacobs
Objective To describe the factors that contributed to successful recruitment of more than 200 000 women to the UK Collaborative Trial of Ovarian Cancer Screening, one of the largest ever randomised controlled trials. Design Descriptive study. Setting 13 NHS trusts in England, Wales, and Northern Ireland. Participants Postmenopausal women aged 50-74; exclusion criteria included ovarian malignancy, bilateral oophorectomy, increased risk of familial ovarian cancer, active non-ovarian malignancy, and participation in other ovarian cancer screening trials. Main outcome measures Achievement of target recruitment, acceptance rates of invitation, and recruitment rates. Results The trial was set up in 13 centres with 27 adjoining local health authorities. The coordinating centre team was led by one of the senior investigators, who was closely involved in planning and day to day trial management. Of 1 243 282 women invited, 23.2% (288 955) replied that they were eligible and would like to participate. Of those sent appointments, 73.6% (205 090) attended for recruitment. The acceptance rate varied from 19% to 33% between trial centres. Measures to ensure target recruitment included named coordinating centre staff supporting and monitoring each centre, prompt identification and resolution of logistic problems, varying the volume of invitations by centre, using local non-attendance rates to determine the size of recruitment clinics, and organising large ad hoc clinics supported by coordinating centre staff. The trial randomised 202 638 women in 4.3 years. Conclusions Planning and trial management are as important as trial design and require equal attention from senior investigators. Successful recruitment needs constant monitoring by a committed proactive management team that is willing to explore individual solutions for different centres and use central resources to improve local recruitment. Automation of trial processes with web based trial management systems is crucial in large multicentre randomised controlled trials. Recruitment can be further enhanced by using information videos and group discussions. Trial registration Current Controlled Trials ISRCTN22488978.
Lancet Oncology | 2011
Ian Jacobs; Aleksandra Gentry-Maharaj; Matthew Burnell; Ranjit Manchanda; Naveena Singh; Aarti Sharma; Andrew M. Ryan; Mourad W. Seif; Nazar Najib Amso; Gillian Turner; Carol Brunell; Gwendolen Fletcher; Rani Rangar; Kathy Ford; Keith M. Godfrey; Alberto Lopes; David H. Oram; Jonathan Herod; Karin Williamson; Ian A. Scott; Howard Jenkins; Tim Mould; Robert Woolas; John Murdoch; Stephen Dobbs; Simon Leeson; Derek Cruickshank; Steven J. Skates; Lesley Fallowfield; Mahesh Parmar
BACKGROUND The increase in the worldwide incidence of endometrial cancer relates to rising obesity, falling fertility, and the ageing of the population. Transvaginal ultrasound (TVS) is a possible screening test, but there have been no large-scale studies. We report the performance of TVS screening in a large cohort. METHODS We did a nested case-control study of postmenopausal women who underwent TVS in the United Kingdom Collaborative Trial of Ovarian Cancer Screening (UKCTOCS) following recruitment between April 17, 2001, and Sept 29, 2005. Endometrial thickness and endometrial abnormalities were recorded, and follow-up, through national registries and a postal questionnaire, documented the diagnosis of endometrial cancer. Our primary outcome measure was endometrial cancer and atypical endometrial hyperplasia (AEH). Performance characteristics of endometrial thickness and abnormalities for detection of endometrial cancer within 1 year of TVS were calculated. Epidemiological variables were used to develop a logistic regression model and assess a screening strategy for women at higher risk. Our study is registered with ClinicalTrials.gov, number NCT00058032, and with the International Standard Randomised Controlled Trial register, number ISRCTN22488978. FINDINGS 48,230 women underwent TVS in the UKCTOCS prevalence screen. 9078 women were ineligible because they had undergone a hysterectomy and 2271 because their endometrial thickness had not been recorded; however, 157 of these women had an endometrial abnormality on TVS and were included in the analysis. Median follow-up was 5·11 years (IQR 4·05-5·95). 136 women with endometrial cancer or AEH within 1 year of TVS were included in our primary analysis. The optimum endometrial thickness cutoff for endometrial cancer or AEH was 5·15 mm, with sensitivity of 80·5% (95% CI 72·7-86·8) and specificity of 86·2% (85·8-86·6). Sensitivity and specificity at a 5 mm or greater cutoff were 80·5% (72·7-86·8) and 85·7% (85·4-86·2); for women with a 5 mm or greater cutoff plus endometrial abnormalities, the sensitivity and specificity were 85·3% (78·2-90·8) and 80·4% (80·0-80·8), respectively. For a cutoff of 10 mm or greater, sensitivity and specificity were 54·1% (45·3-62·8) and 97·2% (97·0-97·4). When our analysis was restricted to the 96 women with endometrial cancer or AEH who reported no symptoms of postmenopausal bleeding at the UKCTOCS scan before diagnosis and had an endometrial thickness measurement available, a cutoff of 5 mm achieved a sensitivity of 77·1% (67·8-84·3) and specificity of 85·8% (85·7-85·9). The logistic regression model identified 25% of the population as at high risk and 39·5% of endometrial cancer or AEH cases were identified within this high risk group. In this high-risk population, a cutoff at 6·75 mm achieved sensitivity of 84·3% (71·4-93·0) and specificity of 89·9% (89·3-90·5). INTERPRETATION Our findings show that TVS screening for endometrial cancer has good sensitivity in postmenopausal women. The burden of diagnostic procedures and false-positive results can be reduced by limiting screening to a higher-risk group. The role of population screening for endometrial cancer remains uncertain, but our findings are of immediate value in the management of increased endometrial thickness in postmenopausal women undergoing pelvic scans for reasons other than vaginal bleeding.
Journal of Clinical Oncology | 2015
Usha Menon; Andrew M. Ryan; Jatinderpal Kalsi; Aleksandra Gentry-Maharaj; Anne Dawnay; Mariam Habib; Sophia Apostolidou; Naveena Singh; Elizabeth Benjamin; Matthew Burnell; Susan Davies; Aarti Sharma; Richard Gunu; Keith M. Godfrey; Alberto Lopes; David Oram; Jonathan Herod; Karin Williamson; Mourad W. Seif; Howard Jenkins; Tim Mould; Robert Woolas; John Murdoch; Stephen Dobbs; Nazar Najib Amso; Simon Leeson; Derek Cruickshank; Ian A. Scott; Lesley Fallowfield; Martin Widschwendter
Purpose Cancer screening strategies have commonly adopted single-biomarker thresholds to identify abnormality. We investigated the impact of serial biomarker change interpreted through a risk algorithm on cancer detection rates. Patients and Methods In the United Kingdom Collaborative Trial of Ovarian Cancer Screening, 46,237 women, age 50 years or older underwent incidence screening by using the multimodal strategy (MMS) in which annual serum cancer antigen 125 (CA-125) was interpreted with the risk of ovarian cancer algorithm (ROCA). Women were triaged by the ROCA: normal risk, returned to annual screening; intermediate risk, repeat CA-125; and elevated risk, repeat CA-125 and transvaginal ultrasound. Women with persistently increased risk were clinically evaluated. All participants were followed through national cancer and/or death registries. Performance characteristics of a single-threshold rule and the ROCA were compared by using receiver operating characteristic curves. Results After 296,911 women-years of annual incidence screening, 640 women underwent surgery. Of those, 133 had primary invasive epithelial ovarian or tubal cancers (iEOCs). In all, 22 interval iEOCs occurred within 1 year of screening, of which one was detected by ROCA but was managed conservatively after clinical assessment. The sensitivity and specificity of MMS for detection of iEOCs were 85.8% (95% CI, 79.3% to 90.9%) and 99.8% (95% CI, 99.8% to 99.8%), respectively, with 4.8 surgeries per iEOC. ROCA alone detected 87.1% (135 of 155) of the iEOCs. Using fixed CA-125 cutoffs at the last annual screen of more than 35, more than 30, and more than 22 U/mL would have identified 41.3% (64 of 155), 48.4% (75 of 155), and 66.5% (103 of 155), respectively. The area under the curve for ROCA (0.915) was significantly (P = .0027) higher than that for a single-threshold rule (0.869). Conclusion Screening by using ROCA doubled the number of screen-detected iEOCs compared with a fixed cutoff. In the context of cancer screening, reliance on predefined single-threshold rules may result in biomarkers of value being discarded.
Ultrasound in Obstetrics & Gynecology | 2012
Aarti Sharma; Sophia Apostolidou; Matthew Burnell; Stewart Campbell; Mariam Habib; A Gentry-Maharaj; Nazar Najib Amso; Mourad W. Seif; Gwendolen Fletcher; N. Singh; Elizabeth Benjamin; Carol Brunell; Gill Turner; Rani Rangar; Keith M. Godfrey; David H. Oram; Jonathan Herod; Karin Williamson; Howard Jenkins; Tim Mould; Robert Woolas; John Murdoch; Stephen Dobbs; Simon Leeson; Derek Cruickshank; Evangelia-Ourania Fourkala; Andrew M. Ryan; M. Parmar; Ian Jacobs; Usha Menon
To estimate the risk of primary epithelial ovarian cancer (EOC) and slow growing borderline or Type I and aggressive Type II EOC in postmenopausal women with adnexal abnormalities on ultrasound.
The American Journal of Surgical Pathology | 2012
Emad A. Rakha; Siew Chee Wong; Irshad Soomro; Zia Chaudry; Aarti Sharma; Suha Deen; Stephen Chan; Jafaru Abu; David Nunns; Karin Williamson; Angus McGregor; Robert Hammond; Laurence Brown
Abstract:The aims of this study were: (1) to review the rate of concurrent endometrial cancer in patients with a preoperative diagnosis of atypical endometrial hyperplasia (AEH); and (2) to determine the features of concurrent endometrial carcinoma and their impact on the subsequent management of AEH. We reviewed a retrospective series of 219 AEHs diagnosed locally in routine practice, over 24 years, and followed by a repeat biopsy or hysterectomy. Another series of 65 cases with a malignant diagnosis on preoperative sampling was included as a control group. Clinicopathologic parameters were obtained. In addition, published data on the risk of malignancy and features of malignant tumors after a diagnosis of AEH were collected and analyzed. This study reported on 2571 patients diagnosed in 31 published studies in addition to the current one. This showed a wide variation in the positive predictive value (PPV) of AEH in detecting endometrial cancer (6% to 63%) with an overall PPV of 37%. This variation is not only based on the differences among studies but also on the degree of atypia [mild/moderate (PPV 13%) or severe (PPV 50%)], the type of subsequent intervention (biopsy vs. hysterectomy), and more importantly the time period of diagnosis (around 20% in studies published before 1990s and up to 40% to 48% in recently published cases). Of the benign outcome cases, nearly 40% to 50% showed AEH with a potential risk of progressing to invasive carcinoma in 25% of cases. Malignant tumors after AEH diagnosis are associated with features of good prognosis with endometrioid morphology, lower grade, and early stage. Although the overall PPV of AEH is 37%, a figure of 40% to 48% is expected in the cases currently diagnosed in routine practice. Providing qualifying criteria for AEH will help identify its different associated risks and therefore should be included in routine pathology reports whenever possible. Unless there is a clinical contraindication, hysterectomy should be performed to treat concurrent carcinoma and to reduce the risk of subsequent carcinoma in nonmalignant cases with residual AEH.
British Journal of Cancer | 2017
Usha Menon; Alistair McGuire; Maria Raikou; Andrew M. Ryan; Susan K Davies; Matthew Burnell; Aleksandra Gentry-Maharaj; Jatinderpal Kalsi; Naveena Singh; Nazar Najib Amso; Derek Cruickshank; Stephen Dobbs; Keith M. Godfrey; Jonathan Herod; Simon Leeson; Tim Mould; John Murdoch; David Oram; Ian A. Scott; Mourad W. Seif; Karin Williamson; Robert Woolas; Lesley Fallowfield; Stuart Campbell; Steven J. Skates; Mahesh K. B. Parmar; Ian Jacobs
Background:To assess the within-trial cost-effectiveness of an NHS ovarian cancer screening (OCS) programme using data from UKCTOCS and extrapolate results based on average life expectancy.Methods:Within-trial economic evaluation of no screening (C) vs either (1) an annual OCS programme using transvaginal ultrasound (USS) or (2) an annual ovarian cancer multimodal screening programme with serum CA125 interpreted using a risk algorithm (ROCA) and transvaginal ultrasound as a second-line test (MMS), plus comparison of lifetime extrapolation of the no screening arm and the MMS programme using both a predictive and a Markov model.Results:Using a CA125–ROCA cost of £20, the within-trial results show USS to be strictly dominated by MMS, with the MMS vs C comparison returning an incremental cost-effectiveness ratio (ICER) of £91 452 per life year gained (LYG). If the CA125–ROCA unit cost is reduced to £15, the ICER becomes £77 818 per LYG. Predictive extrapolation over the expected lifetime of the UKCTOCS women returns an ICER of £30 033 per LYG, while Markov modelling produces an ICER of £46 922 per QALY.Conclusion:Analysis suggests that, after accounting for the lead time required to establish full mortality benefits, a national OCS programme based on the MMS strategy quickly approaches the current NICE thresholds for cost-effectiveness when extrapolated out to lifetime as compared with the within-trial ICER estimates. Whether MMS could be recommended on economic grounds would depend on the confirmation and size of the mortality benefit at the end of an ongoing follow-up of the UKCTOCS cohort.
Obstetrics and Gynecology International | 2009
Konstantinos Doufekas; Timothy J. Duncan; Karin Williamson; S Varma; David Nunns
Introduction. Dermatofibrosarcoma Protuberans (DFSP) is a rare cutaneous tumour of low/intermediate malignant potential, which occasionally arises on the vulva. Historically, the treatment has been wide local excision (WLE). Mohs micrographic surgery (MMS) is now recommended to ensure precise margin control. MMS to treat DFSP of the trunk and extremities is well documented. However, no report to date has described its use in vulval DFSP. Case History. A 39 year old woman presented with a longstanding nodule in the left labium majus. Histology after surgical removal showed an incompletely excised DFSP. MMS was undertaken with primary closure of the defect. Three years following treatment there is no evidence of recurrence. Discussion. The local recurrence rate of DFSP after WLE ranges from 0-75%. Finger-like projections from DFSP into surrounding tissue often results in incomplete excision. Representative vertical sections used in WLE assess less than 1% of the total tumour margin. MMS uses systematic horizontal sectioning. 100% of the tumour margin is microscopically examined. MMS is now advocated to ensure precise margin control.
Trials | 2011
Matthew Burnell; Aleksandra Gentry-Maharaj; Andrew M. Ryan; Sophia Apostolidou; Mariam Habib; Jatinderpal Kalsi; Steven J. Skates; Mahesh Parmar; Mourad W. Seif; Nazar Najib Amso; Keith M. Godfrey; David H. Oram; Jonathan Herod; Karin Williamson; Howard Jenkins; Tim Mould; Robert Woolas; John Murdoch; Stephen Dobbs; Simon Leeson; Derek Cruickshank; Stuart Campbell; Lesley Fallowfield; Ian Jacobs; Usha Menon
Obstetrical & Gynecological Survey | 2009
Usha Menon; Aleksandra Gentry-Maharaj; Rachel Hallett; Andrew M. Ryan; Matthew Burnell; Aarti Sharma; Sara Lewis; Susan Davies; Susan Philpott; Alberto Lopes; Keith M. Godfrey; David Oram; Jonathatn Herod; Karin Williamson; Mourad W. Seif; Ian A. Scott; Tim Mould; Robert Woolns; John Murdoch; Stephen Dobbs; Nazar Najib Amso; Simon Leeson; Derek Cruickshank; Alistair McGuire; Stuart Campbell; Lesley Fallowfield; Naveena Singh; Anne Dawnay; Steven J. Skates; Mahesh K. B. Parmar