brainstrust Bass Belle 10k 2024 entry list

Race registrations

The registration list is updated twice weekly.

Click here to go back to the event home page.

 

Race number First name Last name Club
1 Jo Capewell
2 Rachel McCorquodale
3 Emma Harris
4 Rhiannon Fleming
5 Erika Bosman Bosman Runners
6 Jan Steuber Bosman Runners
7 Hannah Stephenson
8 Tracy Humphreys Stowmarket Striders RC
9 Barry Humphreys Lonely Goat Running Club
10 Paul Phillips
11 Mark Briggs
12 Daniel Pike
13 Francis Pike
14 Louise Dunphy
15 Ciara Mole
16 Ed Price North Herts Road Runners
17 Romy Barfield Royston Runners
18 Vikki Sperrin Shefford Runners
19 Chris Curson Shefford Runners
20 Candy Pickworth
21 Alan Gordon
22 Andrew Farmery Bishops Stortford Running Club
23 Rosanna Stott
24 Hannah Prince Bishops Stortford Running Club
25 Lindsay Crockford
26 Lottie Giles
27 Rachel Giles
28 Peter Baker Ware Joggers
29 Paula Baker Barkway Bounders
30 Alan Tong Royston Runner
31 Alison Bolton Barkway Bounders
32 Caroline Tong Barkway Bounders
33 Alison Lashwood Barkway Bounders
34 Ashley Eusden
35 Jemma Eusden
36 Laura Mackinnon
37 Joseph Mullen
38 John Wainwright
39 Nick Wainwright
40 Cathy Chin
41 Arran Heal Team CMP
42 Tilly Maskell Team CMP
43 Christopher Ball
44 Carrie Fung
45 Peter Bennet Cambridge & Coleridge Athletics Club
46 Daniela Attenborough
47 Iain Attenborough
48 Jason Hasty Bishops Stortford Tri
49 Charlie Day Stevenage Phoenix
50 John Garland
51 Gary Lewis
52 Stephanie Challis
53 Gemma Stanford
54 Simon Nicholls
55 David Cran
56 Noreen Rawlings Moreton Hall Runners
57 Paul Evans Royston Runners
58 Sarah Medley
59 Katy Cooper
60 John James Saffron Striders Running Club
61 Margit Wendelberger – James Saffron Striders Running Club
62 Matthew Roberts North Herts Road Runners
63 Anna Greetham North Herts Road Runners
64 Alice Brear-Clarkson Ely Runners
65 Paul Brear-Clarkson Ely Runners
66 Eve Smith
67 Elizabeth Underwood
68 Anna Morley Steeple Chasers Running & Cycling Club
69 Brian Jones Royston Runners
70 Wendy Tsang The Picnickers
71 Wendy Johnson
72 Stuart Green Royston Runners
73 Michelle Hasty Bishops Stortford Running Club
74 Julie Stringer Fetch Everyone
75 Paul Wright
76 Bianca Hibbert
77 Maureen Miller Royston Runners
78 Nathaniel Barber
79 Lorna Taylor
80 Martin Palmer
81 Fiona Brown Let’s Run Girls Buntingford & Barkway
82 Leyla Jackson Let’s Run Girls Buntingford & Barkway
83 Suzy Horton
84 Fin Livingstone
85 Alexandra Thompson
86 Wendy Carroll Let’s Run Girls Buntingford & Barkway
87 Rianne Howard Let’s Run Girls Buntingford & Barkway
88 Angela Anderson Let’s Run Girls Buntingford & Barkway
89 Zoe Dickinson Let’s Run Buntingford & Barkway
90 Anna Bell Let’s Run Buntingford & Barkway
91 Mia Manuel
92 James Sipthorp
93 Hayley Sipthorp
94 Katheryn Ayres
95 Natalie Smith
96 Natalie Phillips North Herts Road Runners
97 Julie Pederson
98 Christopher Ware
99 Kate Ware
100 Lyn Hudson Saffron Striders Running Club
101 Claire Rooney Saffron Striders Running Club
102 Matt Underwood
103 Ana Stewart REC Runners
104 Hannah Richardson
105 Peter Calvert
106 Julie Newby
107 Dawn Feasey
108 James O’Mara Shefford Runners
109 Chris Thomas Pottsands Runners
110 Claire Thomas Pottsands Runners
111 Jack Duffy
112 Sharon Saunders Steeple Chasers Running & Cycling Club
113 Abigail Turner
114 Declan Weir
115 Jade Upton Let’s Run Girls Buntingford & Barkway
116 Paula Hounslow Coach Kate
117 Sue Sentance Vegan Runners
118 Meera Mahadevan Newmarket Joggers
119 Katie Nicoll Team Cresset
120 Chris Collier Team Cresset
121 David Bardsley Team Cresset
122 Johnny Cheng Team Cresset
123 Robin Cooper BRJ Run & Tri
124 Lauren Bell Team Cresset
125 Oliver Hills Team Cresset
126 Simon Dawson Team Cresset
127 Tim Cheeseright Team Cresset
128 Jon Norton
129 Ian Oliver
130 Gemma Hull
131 Hazel Davies Team Cresset
132 Laura Page Lonely Goat Running Club
133 Angie Sleat
134 Zoe Andrews
135 Rebecca Sandell
136 Kara Hayhurst
137 Zoe Robinson Royston Runners
138 Natalie Youdan
139 Martin Kingsley
140 Andrew Pettit
141 Tamsin Cromwell Royston Runner
142 Rachel Swallow RS Club
143 Hayley Mott St Neots Riverside Runners
144 Alan Symington
145 Barry Smith
146 Nina Symington – Smith
147 Emily Symington
148 Rich Stevens BRJ
149 Michelle Scholfield
150 Archie Thomas
151 Anouska Cotton
152 Matthew Lee
153 Nadine Clemo
154 Amanda Bavin Bishops Stortford Running Club
155 Renata Greenwood
156 Den Chaiyarat
157 Emma Forcada
158 Denise Price
159 Jenny Wilson
160 Keith Phillips
161 Russell Valiant Cambridge & Coleridge Athletics Club
162 Sophie Horsford Cambridge & Coleridge Athletics Club
163 Brian O’Connor Cambridge & Coleridge Athletics Club
164 Jacqui Moore BRJ Run & Tri
165 James Dalton North Herts Road Runners
166 Ann Ellmers St Neots Riverside Runners
167 Cara Cullen
168 Charlie Lane
169 Liam Price
170 Martin Atkinson Royston Runners
171 Ryan Brown
172 Chris Button
173 Eloise Button
174 Deborah Howard
175 Sarah Smith Bishops Stortford Running Club
176 Crispin Wells Royston Runners
177 Deborah Jackson Shefford Runners
178 Heidi Cameron Vegan Runners
179 Letty Thomas
180 Caitlin Duddy
181 Olivia Nicholson Let’s Run Girls Barkway
182 Jamie Garrett
183 Graham Boswell Royston Runners
184 Cheryl Boswell Royston Runners
185 Ryan Joy
186 Claire Grimmer
187 Melissa Benson Royston Runners
188 Kelly Balsom
189 Aybuk Ata Dereboy Fitness with Buki
190 Dave Carter
191 Natasha Golder Vegan Runners
192 Colin Golder
193 Lucy – Ann Patterson
194 Sam Richardson Serpentine Running Club
195 Tommy Hearne Fordy Runs Running Club
196 Alexander Nelson Cambridge & Coleridge Athletics Club
197 Celia Usero Bubbleworks Run Community
198 Gareth Pitt Royston Runners
199 Yael Yeveson Bubbleworks Run Community
200 Linda – Jean Parcell
201 Alan Oliver Hitchin Running Club
202 Emma Hodson Cambridge University Hare and Hounds
203 Matthew Jux – Blayney
204 Madeline Jux – Blayney
205 Pierre Francois Rodriguez
206 Toby Pilcher Royston Runners
207 Andrew Dexter
208 Nial Tanvir
209 Chris Morgan
210 Adam Johnson
211 Kara Rainbow
212 Jess Rainbow
213 Kevin Foskett Royston Runners
214 James Everington
215 Alison Everington
216 Lis Walker Royston Runners
217 Patricia Rio – Green
218 Lauren Warne Let’s Run Girls Buntingford & Barkway
219 Kelly Sizer Wimpole Runners
220 Amy Kingdon
221 Shane Shipley – Wilson
222 Harley Shipley – Wilson
223 Ian Percy BRJ Run & Tri
224 Kevin Ryan BRJ Run & Tri
225 Tracey Wells
226 Jo Smith
227 Rob Cherry
228 Alison Roberts Royston Runners
229 Lee Roberts Royston Runners
230 Adam Knaggs Team Bex
231 Karen Knaggs Team Bex
232 Jennifer Ruggier
233 David Lindskog
234 D Morrison
235 Emma Munn
236 Heather Gwinnutt
237 Chris Alliot
238 Caspar Alliot
239 Carolyn Moss
240 Amanda Edwards Bishops Stortford Running Club
241 Robin Brouard
242 Mark Alliker
243 Justina Newman Team Bex
244 Andrea Moore
245 James Moore
246 Sharon Warren Cambridge & Coleridge Athletics Club
247 Melanie Staley
248 Hannah Lee
249 Imogen Warren
250 Annabelle Baigent
251 Helen Graves Royston Runners
252 Alex Geoghegan Cambridge & Coleridge Athletics Club
253 Martyn Brearley Cambridge & Coleridge Athletics Club
254 Ike Denham
255 Jake Denham
256 Sarah Almond
257 Charles Hall
258 Cevyn Smith
259 Olivia Butterworth
260 Alison Butterworth Royston Runners
261 Karyna Manuel
262 Vicky Ellis -Duveen
263 Sarah Wells
264 Joanna Szuciakow
265 Michelle McHugh
266 Terence McHugh
267 Terry Kay
268 Sam Oddy
269 Linda Ellett
270 Murray Heal Team CMP
271 Alison Bass Team CMP
272 Tom Humphrey Team CMP
273 Maisie Kay Team CMP
274 Gemma Basatemur
275 James McQuire
276 Veronica Hamilton
277 Matthew Rawlings
278 Lucy Ireland
279 Ian Devlin Bubbleworks Run Community
280 Tahlia Banks
281 Stuart Stafford
282 Adam Ward
283 Robert Shaw Lonely Goat Running Club
284 Daniel Mander Royston Runners
285 Joseph Feerick THFC
286 Grace Williams Hitchin Running Club
287 Anna Jackson
288 Paul Roberts
289 Simon Ward St Neots Riverside Runners
290 Lucie Nicolay
291 Takami Moodie Bedford Run Club
292 Carol Cunningham
293 Simon Mayes BRJ Run & Tri
294 Xiomara Herrera – Knight St Neots Riverside Runners
295 Mark Ridgway
296 James Coveney
297 Helen Bentley REC Runners
298 Jonathan Hallam REC Runners
299 Joanna Makowska St Neots Riverside Runners
300 Lee Radley St Neots Riverside Runners
301 Cheryl Ebeling -Jones
302 Nicholas Larner
303 Kate Hoffen Westbury Harriers
304 Grant Ramsay Fairlands Valley Spartans
305 James McHattie Royston Runners
306 James Filsell
307 Becky Filsell
308 Rob Gunner
309 Ricky Pateman
310 Gary Reader St Neots Riverside Runners
311 Billy Reader St Neots Riverside Runners
312 Stephen Fleming
313 Amanda Peacock
314 Emily King
315 Nick Lower Apex
316 Alexander Kelly Finborough Running Club
317 Ruth Jenkins Shefford Runners
318 Freddie Custerson
319 Vicky Clifton-Oliver
320 Tommy Compton
321 Paul Morrison Bishops Stortford Running Club
322 Stephen Collins
323 Alex Smart BRJ Run & Tri
324 Darren Calvert Longstaton & Northstowe Limpers
325 Mel Peaston St Neots Riverside Runners
326 Matthew Hockley Royston Runners

brainstrust Bass Belle 10k 2024

Introduction

The Brain Tumour Data Dashboard lets you explore up -to-date, population level data about the brain tumours diagnosed in England between 2013 and 2015. Using the drop down menus on the left you can select different groups of patients to view in the charts below. In these charts the number of patients for every 100 diagnoses is displayed as images of people. Patients have been grouped by date of diagnosis, type of tumour, age, gender, and region in England.

For each group of patients you can explore the different routes to diagnosis, the proportion of those who received chemotherapy or radiotherapy, as well as the survival of the patients within each group. For more information about what these metrics mean please see the glossary.

How to use

  1. Select the year of diagnosis using the drop down menu.
  2. Select your patient group of interest from the four drop down menus in the following order:
    1. Tumour group
    2. Age at diagnosis
    3. Region of England
    4. Gender of patient
  3. To view a second chart to compare different groups of patients, click the ‘compare’ button.The second chart will appear below the first chart.

*Note that the tool is best used on a laptop or tablet rather than a mobile phone*

Unavailable data

Some of the data in these charts is not available.There are two main reasons for this:

  1. How the data has been grouped

If you cannot select a patient group from the drop down menus, the data is unavailable because of how the data has been organised.

Public Health England has grouped the data like a branching tree. The bottom of the tree contains all the patients with brain tumours, and then each branch divides the data by a certain characteristics, like age, or location of tumour. But the data is divided in an order, starting with location of the tumour (endocrine or brain), then by age, region, and gender. Age is at the start because it makes a bigger difference to survival rates and treatment rates than gender or region. Sometimes, after the data has been split by type of tumour and age, there is not enough data to be split again. This is because to protect patient confidentiality groups cannot contain less than 100 patients. Because some groups cannot be split further, you cannot create ‘totals’ for everyone by region or gender. For example, you cannot see results for all ages by region, or all brain tumours by gender. If these totals were calculated and released, it might be possible to identify patients, which is why Public Health England cannot release this data.

  1. Statistical reasons and data availability

If you can select a patient group from the chart menus, but the chart does not display, the data is unavailable for one of several reasons:

  1. Data is not yet available for the selected year from Public Health England.
  2. Data is not available because the data quality is too poor to release this statistic.
  3. Data is not available as the statistic is not appropriate for this group.
  4. Data is not available because the standard error of the estimate was greater than 20% and so the estimate has been supressed.

Up to date brain tumour data

Brain tumour data may influence the decisions you make about your care. Data also helps you understand the bigger picture, or landscape, in which you find yourself.

Brain tumour data and statistics influence the focus, and work of organisations like brainstrust. The information helps us to understand the scale and impact of the problems we are setting out to solve.

This tool helps you understand the landscape in which you find yourself having been diagnosed with a brain tumour. This landscape can be particularly tricky to navigate as there are many different types of brain tumour, all of which have a different impact.

The information you see represents the most up-to-date, official, population level brain tumour data available for England. Over time we will be adding to the brain tumour data available and publishing reports, with recommendations, as a result of what we learn from this data.

The data behind this content has come from Public Health England’s National Cancer Registration and Analysis Service (NCRAS) and is a direct result of the ‘Get Data Out’ project.

This project provides anonymised population level brain tumour data for public use in the form of standard output tables, accessible here: http://cancerdata.nhs.uk/standardoutput

Incidence

The number or rate (per head of population) of new cases of a disease diagnosed in a given population during a specified time period (usually a calendar year). The crude rate is the total number of cases divided by the mid-year population, usually expressed per 100,000 population.

Malignant

Malignant tumours which grow by invasion into surrounding tissues and have the ability to metastasise to distant sites

Mortality

The number or rate (per head of population) of deaths in a given population during a specified time period (usually a calendar year). The crude rate is the total number of deaths divided by the mid-year population, usually expressed per 100,000 population.

Non-malignant

Not cancerousNon-malignant tumours may grow larger but do not spread to other parts of the body.

Survival

The length of time from the date of diagnosis for a disease, such as cancer, that patients diagnosed with the disease are still alive. In a clinical trial, measuring the survival is one way to see how well a new treatment works. Also called ‘overall survival’ or ‘OS’.

Routes to Diagnosis

Under the ‘Routes to Diagnosis’ tab in the Brain Tumour Data Dashboard, you can explore the ways patients have been diagnosed with brain tumours. There are many ways, or routes, for cancers to be diagnosed in the NHS. A ‘route to diagnosis’ is the series of events between a patient and the healthcare system that leads to a diagnosis of cancer. The routes include:

  1. Two Week Wait

Patients are urgently referred by their GP for suspected cancer via the Two Week Wait system and are seen by a specialist within 2 weeks where they are diagnosed.

  1. GP referral

Diagnosis via a GP referral includes routine and urgent referrals where the patient was not referred under the Two Week Wait system.

  1. Emergency Presentation

Cancers can be diagnosed via emergency situations such as via A&E, emergency GP referral, emergency transfer or emergency admission.

  1. Outpatient

Outpatient cancer diagnoses include diagnoses via an elective route which started with an outpatient appointment that is either a self-referral or consultant to consultant referral. (It does not include those under the Two Week Wait referral system).

  1. Inpatient elective

Diagnosis via an inpatient elective route is where diagnosis occurs after the patient has been admitted into secondary care from a waiting list, or where the admission is booked or planned.

  1. Death Certificate Only

Diagnoses made by Death Certificate Only are made where there is no more information about the cancer diagnosis other than the cancer related death notifications. The date of diagnosis is the same as that of the date of death.

  1. Unknown

For some patients with a cancer diagnosis, there is no relevant data available to understand the route to diagnosis.

 

More information

If any of the statistical terms in this section of the brainstrust website are hard to understand, we recommend looking them up here:

Cancer Research UK’s Cancer Statistics Explained

http://www.cancerresearchuk.org/health-professional/cancer-statistics/cancer-stats-explained/statistics-terminology-explained#heading-Seven

If you are looking for help understanding terms relating specifically to brain tumours, and treatment, then the brainstrust glossary is available here:

https://www.brainstrust.org.uk/advice-glossary.php