1 00:00:00,240 --> 00:00:06,540 Hi everyone. I'm Helen Ashdown, so thank you very much for staying on into the evening to listen to me. 2 00:00:06,540 --> 00:00:11,550 I'm aware that you've had a long day, so I'm very much going to be talking about the kind of the lighter side of diagnostic studies. 3 00:00:12,450 --> 00:00:18,180 You may think what could possibly be the link between Breathalysers babies and bombs, 4 00:00:18,780 --> 00:00:23,850 but as you probably guessed, it's that the link between them is the study methodology and the diagnostic studies. 5 00:00:24,090 --> 00:00:27,200 And what I really want to talk about is my experience. 6 00:00:27,210 --> 00:00:33,450 So happened that I ended up doing a few diagnostic studies, partly because I really enjoy them and I think they're really they're really good fun. 7 00:00:34,050 --> 00:00:40,380 And so I wanted to share with you the kind of the fun side of that and really convince you that diagnostic studies are great. 8 00:00:40,650 --> 00:00:43,190 And I think they're well, hopefully in that space of me saying that, 9 00:00:43,200 --> 00:00:47,850 I really I really do think that it's a really simple, straightforward sort of study methodology, 10 00:00:48,330 --> 00:00:53,700 which is, you know, once you put your head around, there is really you know, 11 00:00:53,700 --> 00:00:58,290 there's lots of studies that can be answered using diagnostic test accuracy methodology. 12 00:00:58,740 --> 00:01:00,000 So what am I going to talk about? 13 00:01:00,960 --> 00:01:09,390 Does these three studies that I've been involved in breathalysers immunisation history and speed bumps and appendicitis. 14 00:01:09,600 --> 00:01:18,210 Now, immunisation is obviously really, really important, but it's just slightly less exciting I think, than breathalysers and speed bumps. 15 00:01:18,360 --> 00:01:22,079 So I'm actually probably get to talk about that for a few minutes and mainly concentrate 16 00:01:22,080 --> 00:01:26,639 on what I've done with the Breathalyser Study and the Speed Bumps of Appendicitis study. 17 00:01:26,640 --> 00:01:33,810 And what I'm going to talk about is kind of a how the study was designed in relation to the designing, 18 00:01:33,810 --> 00:01:39,030 the designing the research question and formulating that and how we designed 19 00:01:39,030 --> 00:01:43,530 the study to answer the question with the kind of the bumps along the way. 20 00:01:43,530 --> 00:01:52,409 So things that things that came up which were unexpected or interesting, and then to also focus on the kind of the communicating the findings aspect. 21 00:01:52,410 --> 00:01:59,639 So particularly with breathalysers and speed bumps, they've, they've had quite a bit of media attention. 22 00:01:59,640 --> 00:02:09,390 And so I wanted to concentrate on the the sort of how you explain diagnostic studies to the public and how how to kind of sell diagnostic studies, 23 00:02:09,390 --> 00:02:17,910 because it's not necessarily something which is easily understandable by by non, you know, people that don't don't understand the methods. 24 00:02:18,570 --> 00:02:26,730 And so you can see here, this is a video and you have to also I'll talk about how these how these came about. 25 00:02:26,880 --> 00:02:28,260 But first, it's come out a little bit small. 26 00:02:28,270 --> 00:02:33,660 So I don't know if this will be possible, but I was going to test your Oxford knowledge and ask you, first of all, which pub is that? 27 00:02:34,020 --> 00:02:38,000 Does anybody know where say. 28 00:02:40,470 --> 00:02:45,050 No, but I think that's a good guess. Canal in the background. It's the Jolly Bateman and Swamp. 29 00:02:45,530 --> 00:02:50,500 There we go. And where abouts is that? Now it is. 30 00:02:51,820 --> 00:02:55,420 Say something. Yay! Yay! Well done. 31 00:02:56,320 --> 00:03:01,270 So, yeah, so how these two pictures came out, how they came about and the sort of the stories behind them. 32 00:03:02,200 --> 00:03:04,929 So I'm sure this is really you will have done this today, 33 00:03:04,930 --> 00:03:09,790 but I just wanted to put it there in case as anybody that hasn't been on the course and wanted a bit of background. 34 00:03:10,420 --> 00:03:16,690 So instead of thinking about this typical peak out with diagnostic studies, I always think of this instead as a sort of pit. 35 00:03:16,690 --> 00:03:21,070 I hope I auto thinking about the patients or participants. 36 00:03:21,280 --> 00:03:25,090 The index test, the reference test, and then what the target condition is. 37 00:03:25,330 --> 00:03:32,980 And then putting them together to give us a sensitivity, specificity, positive, a negative predictive value and likelihood ratios. 38 00:03:33,610 --> 00:03:37,209 Hopefully that should make sense to everybody. You probably all know this already, 39 00:03:37,210 --> 00:03:43,900 but basically in the UK there's an immunisation schedule where babies have have immunisations 40 00:03:43,900 --> 00:03:47,380 and it's the same in countries around the world but kind of differs between different countries. 41 00:03:47,590 --> 00:03:53,020 And this set points when children have it and they get a letter in the post inviting them and then they get 42 00:03:53,020 --> 00:04:01,150 follow up reminders and they also and it all gets recorded in this child health record that all children have. 43 00:04:01,840 --> 00:04:10,480 But there are some children who don't have the immunisations up to date or even with the immunisations and the reasons for that. 44 00:04:10,870 --> 00:04:16,030 You know, there's many reasons for that. It may be that the parents actively decide that they don't want their child vaccinated, 45 00:04:16,330 --> 00:04:20,610 or it may be that they or it may be that there's just reasons, you know, 46 00:04:20,650 --> 00:04:25,270 they've forgotten or the letters aren't getting through or they don't have the time to take the children to the doctor, 47 00:04:25,270 --> 00:04:32,550 you know, all kinds of reasons. But when children go to hospital, when they go to the emergency department, when they're not planning to, 48 00:04:32,590 --> 00:04:35,890 you know, when they're not planning to do so, obviously an unplanned admission. 49 00:04:36,220 --> 00:04:38,740 It's a good opportunity to ask parents about it. 50 00:04:38,740 --> 00:04:44,950 And that's both so that you could potentially identify if the child might have one of these diseases causing that presentation. 51 00:04:44,950 --> 00:04:48,400 You know, obviously, the chances of measles is higher if you haven't been vaccinated against it. 52 00:04:49,180 --> 00:04:52,809 But also as an opportunity to kind of give education about the importance of 53 00:04:52,810 --> 00:04:56,790 immunisation and even give the immunisation while the child is in hospital as well. 54 00:04:56,800 --> 00:05:02,709 So it's important in those respects. And what we wanted to find out was whether history taking, say, 55 00:05:02,710 --> 00:05:09,250 whether the process of the doctor asking at the initial clerking of the patient, is your child up to date with their immunisations. 56 00:05:09,490 --> 00:05:13,120 How accurate that was for telling whether the child is is actually up to date. 57 00:05:13,810 --> 00:05:21,280 So what we do is formulating the research question saying how good is it clocking at picking up children who are overdue with their immunisations? 58 00:05:21,670 --> 00:05:27,360 So we looked at children six months to six years presenting to the emergency department, looked at immunisation history. 59 00:05:27,370 --> 00:05:34,179 So for that, we went through the emergency department cast cards, which at that stage everything was done written, 60 00:05:34,180 --> 00:05:41,230 whereas now it's electronic and where people had written kind of up to date IM's or whether there was any kind of mention of it. 61 00:05:41,830 --> 00:05:47,200 And then combined compared that with a central primary care immunisations record database, 62 00:05:47,200 --> 00:05:55,750 which is a central local database where this sort of information is held and looked at to whether they were overdue with their immunisations or not. 63 00:05:56,650 --> 00:05:59,500 And what were our findings? So 76%. 64 00:05:59,500 --> 00:06:07,000 So about three quarters had had an immunisation history documented and that was lowest for the surgical and mine injury presentations. 65 00:06:07,000 --> 00:06:12,910 And also the older the child was 5% recorded as incomplete on the history. 66 00:06:12,920 --> 00:06:17,829 And then when we compare that to the primary care database, it was slightly higher. 67 00:06:17,830 --> 00:06:24,040 So 7% and we include excluded some children because of the if they were only just 68 00:06:24,040 --> 00:06:27,699 overdue or if they'd moved from out of area or if they didn't have an NHS number. 69 00:06:27,700 --> 00:06:31,150 So there were various reasons that that those numbers have sort of decreased down. 70 00:06:31,780 --> 00:06:37,269 And what we find so we found that the sensitivity of this immunisation history 71 00:06:37,270 --> 00:06:40,780 for picking up children who were actually overdue was eight was less than half. 72 00:06:40,780 --> 00:06:47,350 So it's only about 40% who picked up using the methods. But if they are picked up, it's a relatively specific method. 73 00:06:47,920 --> 00:06:51,489 So our conclusions, less than half of those overdue, are picked up by history. 74 00:06:51,490 --> 00:06:55,209 Taking the highest sensitivity was in the younger age groups, 75 00:06:55,210 --> 00:07:01,690 which kind of makes sense in that it's kind of closer to when parents are when the child is actually had that immunisations. 76 00:07:03,040 --> 00:07:12,880 But there is a limitation of this in that the primary care database may overestimate those who are overdue, for example, if stuff hasn't been updated. 77 00:07:13,060 --> 00:07:17,920 We did get that the the local PC, the Primary Care Health Trust, 78 00:07:17,920 --> 00:07:23,469 people who run the database actually very kindly phoned up every GP practice of the people we identified 79 00:07:23,470 --> 00:07:28,540 as overdue to check that it matched the GP records and say we're relatively confident that it's accurate. 80 00:07:28,540 --> 00:07:34,460 But at the same time it's possible that those original GP records in themselves weren't weren't necessarily up to date. 81 00:07:35,830 --> 00:07:43,960 Moving on, speed bumps. So since I started doing this project, I've been collecting pictures of speed bumps. 82 00:07:45,250 --> 00:07:48,370 And this was from our holiday in. 83 00:07:48,740 --> 00:07:52,220 Western Canada. So this is on Vancouver Island in British Columbia. 84 00:07:52,370 --> 00:07:58,669 Really good speed. But my husband's absolutely sick of me going places and saying, say, oh, 85 00:07:58,670 --> 00:08:03,079 there's a really good speedbump, please, can we get down this road and take a picture of it? And this was very recently. 86 00:08:03,080 --> 00:08:06,150 So this is hot off the press. So the first people see this particular speed bump. 87 00:08:06,740 --> 00:08:10,220 Anybody, any guests for it is islands in the background. 88 00:08:12,160 --> 00:08:16,330 It's the west coast of Scotland, and that's the show of egg and that's the island of Rum. 89 00:08:16,570 --> 00:08:20,049 And this was, I think, news day or something. Anyway, good. 90 00:08:20,050 --> 00:08:21,520 Particularly good speedbump signs. 91 00:08:23,530 --> 00:08:29,860 These slides are taken from a presentation I gave M.I.T. a few months ago, and I'll come into that onto the reasons for why. 92 00:08:31,120 --> 00:08:35,169 But one of the things throughout is that lots of people have asked me to define what is a speedbump, 93 00:08:35,170 --> 00:08:42,880 which I find a bit strange, having grown up with speed bumps. But it is a rich set at intervals in a road surface to control the speed of vehicles. 94 00:08:43,630 --> 00:08:49,240 And they are also called sleeping policeman, which is the British equivalent, 95 00:08:49,240 --> 00:08:52,899 which the Americans all found very funny when we were over there because of well, 96 00:08:52,900 --> 00:08:57,490 a few of them had come across the Thames sleeping policeman before, but not not many of them. 97 00:08:58,660 --> 00:09:00,520 And the reason behind this study was, 98 00:09:00,580 --> 00:09:07,750 say this started when I was a surgical house officer and we had lots of people coming in with suspected appendicitis. 99 00:09:07,990 --> 00:09:16,030 Now, just to give you a little bit of background of appendicitis, you know, for the non medics, you know, that, you know, 100 00:09:16,120 --> 00:09:19,790 appendicitis can be really classical and it's obvious even to, you know, 101 00:09:19,900 --> 00:09:25,940 the person next door or your grandmother is appendicitis, but often it is not quite so clear cut. 102 00:09:26,020 --> 00:09:30,819 So you use it. The doctors use a combination of symptoms and signs. 103 00:09:30,820 --> 00:09:36,940 So things like whether the pain moves, whether the patient has nausea and vomiting to try and work out if it is appendicitis. 104 00:09:37,450 --> 00:09:41,110 But it's good to pick it up early because if you miss it, then it can get more. 105 00:09:41,140 --> 00:09:47,320 It can get more serious and can it can cause sort of severe sepsis and even death. 106 00:09:47,320 --> 00:09:53,080 And the definitive treatment is is to remove the appendix surgically. 107 00:09:54,220 --> 00:09:58,299 But that's something which actually more recently is a little bit more questionable 108 00:09:58,300 --> 00:10:01,930 and certainly mild cases are now sometimes treated with antibiotics instead. 109 00:10:02,320 --> 00:10:05,710 So what we wanted to the reason this kind of came back was that we've noticed that 110 00:10:06,250 --> 00:10:10,389 quite a few patients in the hospital would say that the journey had been terrible. 111 00:10:10,390 --> 00:10:13,420 And I worked with one of the surgeons who said, oh, speed bumps. Absolutely. 112 00:10:13,630 --> 00:10:16,540 You know, if the patient says they've had pain on going over speed bumps, 113 00:10:16,780 --> 00:10:20,769 they absolutely must have they straight to theatre, they must have appendicitis. 114 00:10:20,770 --> 00:10:22,600 Let's not worry about any blood tests or scans. 115 00:10:22,810 --> 00:10:28,840 And obviously they were joking, but they'd noticed that there was this strong association and we thought actually that would be really easy to test. 116 00:10:28,840 --> 00:10:34,540 You know, it would be quite easy study to do. So what we did, we looked at patients who'd been referred with possible appendicitis, 117 00:10:35,290 --> 00:10:40,599 looked at the index test as pain over speed bumps, appendicitis on histology as our reference standard, 118 00:10:40,600 --> 00:10:43,809 say what it looks like under the microscope and if it's showing signs of being 119 00:10:43,810 --> 00:10:47,950 appendicitis and then obviously the target condition being acute appendicitis. 120 00:10:48,280 --> 00:10:58,660 And we did this at Stoke Mandeville, which is famed for its link with spinal injuries and and was the place that the first Paralympic Games were held. 121 00:10:59,050 --> 00:11:07,360 The reason that we well, it was a good place to do it because Aylesbury is a hospital that's got quite a few speed bumps and you know, 122 00:11:07,660 --> 00:11:09,220 that's a good reason to do a study, obviously. 123 00:11:11,110 --> 00:11:17,380 And what we did was we looked to patients who'd been referred with possible appendicitis by either the emergency department or via their GP. 124 00:11:17,800 --> 00:11:21,400 We gave them a questionnaire when they were first admitted to hospital. 125 00:11:21,400 --> 00:11:24,220 So before they'd had any, you know, before they'd had any treatment. 126 00:11:25,210 --> 00:11:31,090 And this questionnaire kind of asked about the journey to hospital and whether they'd travelled over speed bumps and if they had, 127 00:11:31,090 --> 00:11:37,870 whether it made the pain worse or better. And then we got their permission to follow them through and sort of see what happened in relation 128 00:11:37,870 --> 00:11:42,490 to whether they went on to have appendicitis or not and those who were discharged home, 129 00:11:42,730 --> 00:11:46,330 we telephoned them a month later just to check that they hadn't been admitted elsewhere, 130 00:11:46,450 --> 00:11:49,990 that they hadn't had a you know, they hadn't been diagnosed subsequently with appendicitis. 131 00:11:51,280 --> 00:11:57,580 And yeah, so we followed them very happily. Nobody, happily, nobody died in our study, which was very good. 132 00:11:58,540 --> 00:12:01,420 And we looked at the appendicitis histology to see, 133 00:12:01,780 --> 00:12:08,710 to see that and that was blindly assessed by somebody who hadn't been exposed to the who hadn't seen what, 134 00:12:08,980 --> 00:12:10,840 whether the patient had had pain, O2 speed bump. 135 00:12:10,840 --> 00:12:16,230 So it was an independent assessor of the kind of interpretation of the histology results and the pathology department. 136 00:12:16,250 --> 00:12:22,150 The hospital had no idea that we were doing the study, so in that respect it was quite good that nobody knew it was going on. 137 00:12:22,930 --> 00:12:28,800 It was published in the Christmas BMJ in 2012 and it had a particularly good cover image. 138 00:12:28,840 --> 00:12:32,980 So I put this on, it was the Sgt Pepper staff cover, which I think is great. 139 00:12:33,970 --> 00:12:39,640 These are the results. But I've actually because these are the slides that I used I thought would actually be interesting to 140 00:12:39,640 --> 00:12:44,350 explain the results in the kind of the way that I did it to the public audience a few months ago. 141 00:12:44,860 --> 00:12:48,120 So this is from the original paper and I think later this week, I don't know with the latest tweet, 142 00:12:48,130 --> 00:12:51,280 you're going to be looking at the speed of those papers anyway. I think Richard talks about it. 143 00:12:52,720 --> 00:13:01,270 And so 101 patients were recruited in the study, 64 who travelled over speed bumps were included in the analysis. 144 00:13:01,270 --> 00:13:04,060 So we excluded those that said they hadn't been over any speed bumps. 145 00:13:04,270 --> 00:13:11,620 54 of those who travelled to speed bumps had worsened pain and we called those speed bump positive 34 patients in total. 146 00:13:11,680 --> 00:13:16,930 All have confirmed appendicitis and three of them had pain over speed bumps. 147 00:13:17,380 --> 00:13:20,500 And that gives a 97% sensitivity. 148 00:13:21,130 --> 00:13:24,250 So only one person didn't have pain over speed bumps. 149 00:13:25,270 --> 00:13:30,040 And that is a better sensitivity than other symptoms and signs of appendicitis. 150 00:13:30,040 --> 00:13:36,310 So it scored better than migratory pain, nausea and vomiting, rebound tenderness. 151 00:13:36,580 --> 00:13:41,590 And having such a high sensitivity means that it's a really good rule out test, as you know. 152 00:13:41,930 --> 00:13:45,610 And so it's really good for saying actually, it's really unlikely that you have appendicitis. 153 00:13:46,060 --> 00:13:50,880 However, lots of those who were speedbump positive didn't have appendicitis. 154 00:13:50,890 --> 00:13:56,140 So just because you have pain over speed bumps doesn't mean that you necessarily have appendicitis. 155 00:13:56,380 --> 00:14:03,010 And that was the worst thing about the media associated with this, that loads of newspapers said, do you get pain when you go for speed bumps? 156 00:14:03,010 --> 00:14:05,470 If so, go to a hospital, you might have appendicitis. 157 00:14:05,590 --> 00:14:12,460 I was thinking, no, they want me responsible for these people going to the hospital on account of us, on account of our study. 158 00:14:15,670 --> 00:14:19,750 And yeah, as I say, there was lots of media attention at the time, 159 00:14:20,020 --> 00:14:28,809 but what I really wasn't expecting was to get a phone call last Easter from a guy in in London, 160 00:14:28,810 --> 00:14:32,440 a professor, saying, oh, I think I think you might want to give me a call. 161 00:14:32,440 --> 00:14:38,829 I'm at home painting. This is my home phone number. I looked him up and he seemed like he was a proper, proper professor. 162 00:14:38,830 --> 00:14:43,390 And and I kind of thought, well, what have I got to lose by giving him a giving him a call? 163 00:14:43,600 --> 00:14:49,210 Even though I was away on holiday in Scotland at the time and I phoned him up and he said, Have you heard of the IG Nobel Prizes? 164 00:14:49,630 --> 00:14:53,650 And I said, No, no, never heard. And he said, Oh, you've won one. 165 00:14:54,100 --> 00:14:57,280 And obviously it was slightly lost on me, the significance of this, having never heard of them. 166 00:14:57,280 --> 00:15:03,370 But I was saying with a group of friends who who had kind of like got off the phone and then immediately said, What are you running on prize? 167 00:15:03,370 --> 00:15:11,109 That's amazing. I think in non-medical subjects, they're very highly regarded and they're seen as the sort of greatest accolade that you 168 00:15:11,110 --> 00:15:14,680 can get in your scientific career if you're not going to win a proper Nobel Prize. 169 00:15:16,030 --> 00:15:23,380 So what they're sold, as is the IG Nobel Prize, is on the research that makes that first make people laugh and then make them then make them think. 170 00:15:23,620 --> 00:15:32,620 And Nature Magazine call them calls it the True Nature Journal, calls it the highlight of the scientific calendar. 171 00:15:33,190 --> 00:15:41,510 And it really was you know, they were awarded at Harvard and they really make a huge, huge thing over the over this out. 172 00:15:41,530 --> 00:15:45,849 You know, there was just a huge amount of media attention. There's lots of people to travel from all over the world. 173 00:15:45,850 --> 00:15:52,030 I was interviewed by of Japanese TV stations, Russian TV stations, and I never even heard of these awards before. 174 00:15:53,110 --> 00:15:57,670 People just really, really excited that I was one of the winners of these really most coveted prizes. 175 00:15:57,880 --> 00:16:02,110 But the ceremony is absolutely mad. I've never had such a mad evening in my life. 176 00:16:02,680 --> 00:16:10,329 It's got paper aeroplane fights and this guy stands on the stage as a kind of target and people throw paper aeroplanes at him. 177 00:16:10,330 --> 00:16:12,370 And as I was sitting directly behind him, 178 00:16:12,520 --> 00:16:18,700 you're just in the sea of paper aeroplanes and it's just a kind of public lecture thing as there was a guy swallowing, 179 00:16:19,300 --> 00:16:24,520 swallowing a sword and that so but it was in a sort of scientific way. 180 00:16:24,520 --> 00:16:26,469 I can't quite remember the details, but anyway, 181 00:16:26,470 --> 00:16:32,740 and then you win these prizes and they put a lot of effort into the prizes and I brought my prize along to show you because I would say I'm very, 182 00:16:32,740 --> 00:16:36,350 very proud of this. This is my IG Nobel Prize. 183 00:16:37,240 --> 00:16:41,110 And what's what's particularly great about this is that bringing it back from the States? 184 00:16:41,380 --> 00:16:45,970 I came I got my bags out of the, you know, 185 00:16:45,970 --> 00:16:51,830 of the baggage collection thing at the end and saw that my bag had been opened and my padlock had been cut free. 186 00:16:52,150 --> 00:16:55,540 And afterwards I thought actually that was kind of obvious that that was going to happen 187 00:16:55,720 --> 00:16:59,830 because it looks like this big sort of thing with all these wires coming out of it. 188 00:16:59,830 --> 00:17:03,069 And I thought, no, the people opened it and tried to find out what it was. 189 00:17:03,070 --> 00:17:06,700 Must have been it must have been really, quite, really, quite surprised. 190 00:17:06,700 --> 00:17:16,540 Probably had to go, what is it? What is an IG Nobel Prize? But I wanted to show you two bits from the ceremony, like, thank you. 191 00:17:19,260 --> 00:17:23,430 As you know, we used to have a problem at this ceremony. 192 00:17:23,430 --> 00:17:27,480 Many of these speakers would exceed their allotted amount of time. 193 00:17:28,140 --> 00:17:33,480 Here's how we now solve that problem. Please welcome the charming, the delightful, the ever so cute. 194 00:17:33,870 --> 00:17:47,910 Miss Sweetie. Who? The swimming pool is eight years old. 195 00:17:47,950 --> 00:17:54,030 Mr. Sweeting, how would you demonstrate what you will do when somebody exceeds his or her allotted time? 196 00:17:54,840 --> 00:17:59,650 Please stop. Oh, please stop. 197 00:18:00,270 --> 00:18:03,550 Oh! Oh! Oh! 198 00:18:04,150 --> 00:18:12,240 Oh! Thank you. I'm a sweetie. 199 00:18:13,140 --> 00:18:16,400 Thank you. Miss me? Thank you. 200 00:18:17,160 --> 00:18:23,129 So. So the ceremony is just full. That's just one example of what is a completely crazy ceremony. 201 00:18:23,130 --> 00:18:26,310 And remind me quite a lot of kind of Monty Python style style things. 202 00:18:27,300 --> 00:18:30,900 But I just wanted to end by showing you our acceptance speeches. Again, something I'm very proud of. 203 00:18:30,900 --> 00:18:35,190 My friend from Edinburgh actually wrote it for us because it was very difficult to try and think, 204 00:18:35,190 --> 00:18:40,500 how am I going to summarise my research to a non-medical audience in just one minute? 205 00:18:41,130 --> 00:18:47,420 So this is this is what we did, and we were actually allowed a little bit of time afterwards to do a demonstration as well. 206 00:18:47,430 --> 00:18:50,430 But it was really good because then the demonstration really caught the press's attention. 207 00:18:50,760 --> 00:18:55,919 And I never thought when I started my medical career and started an interest in kind of diagnostic 208 00:18:55,920 --> 00:19:02,130 studies that it would lead me to being on stage at the University of Harvard dressed as a speed bump. 209 00:19:04,050 --> 00:19:15,170 But it really was my proudest moment. This was the this was the win a date with a Nobel laureate competition that they had beforehand. 210 00:19:16,190 --> 00:19:26,120 And they were real Nobel laureates that give out the prizes. Diagnostic Medicine Prize. 211 00:19:28,670 --> 00:19:40,170 The IG Nobel Prize for Diagnostic Medicine is awarded to Diyala, Kareem of Canada and the UK after the harm done to New Zealand, the UK and the U.S. 212 00:19:40,340 --> 00:19:44,630 Nigel D'Souza. That's me. If you missed me in the middle of it, the speed bump happened. 213 00:19:44,960 --> 00:19:50,210 South Africa, the U.S. and the U.K. Andrew Wall of China and the U.K. 214 00:19:50,360 --> 00:19:56,090 Abdelkader Aloni of Syria and the U.K. and Helen Ashdown, Richard J. 215 00:19:56,100 --> 00:20:05,270 Stephens and Simon Krakower of the UK for determining that acute appendicitis can be accurately 216 00:20:05,270 --> 00:20:12,320 diagnosed for the amount of pain evidence when the patient is driven over speed bumps. 217 00:20:23,150 --> 00:20:29,750 We tried to give our speech too quickly. We're also awarded $10 trillion. 218 00:20:32,960 --> 00:20:37,100 I'll tell you better than this. This is less how this day. 219 00:20:37,620 --> 00:20:42,980 But first of all, we'd like to say we never achieved this perk without the other group as well. 220 00:20:43,580 --> 00:20:47,390 And so, you know what else is missed? We've got both sides, you know. 221 00:20:49,120 --> 00:20:55,490 Our moms and dads. Let's not forget. I hope they're watching on the net and all I can yell at. 222 00:20:55,510 --> 00:21:01,820 Answer J. Oh, my God. 223 00:21:03,690 --> 00:21:10,270 Oh, God. That's one of the professors of our department. 224 00:21:12,940 --> 00:21:16,100 He's. Just what the [INAUDIBLE] is wrong with him? 225 00:21:16,280 --> 00:21:19,420 Please cut off the grid. If it's a hostile. 226 00:21:20,040 --> 00:21:23,370 Brain disease, appendicitis. Could it be? 227 00:21:23,610 --> 00:21:30,460 It could be that. Now, let me see. But how would I have to see to you an ultrasound or an X-ray? 228 00:21:30,470 --> 00:21:36,260 Man, just read our paper. Then you'll know the speed bumps all the way to show. 229 00:21:37,490 --> 00:21:40,660 Just so I can quickly offer help. You know the paper. 230 00:21:40,670 --> 00:21:46,610 They can jump. Appendix cases that we sent was sensitive at 97%. 231 00:21:47,540 --> 00:21:51,290 It really is the simplest test. Their specificity is not best. 232 00:21:55,290 --> 00:21:59,360 So see diagnostic test accuracy to a wide audience, he states. 233 00:22:17,320 --> 00:22:23,549 Oh, my God. He's got appendicitis. 234 00:22:23,550 --> 00:22:26,920 He's not. Not normally like that. 235 00:22:26,920 --> 00:22:30,060 I'm sure we have a little demonstration. Is that correct? 236 00:22:30,750 --> 00:22:36,740 We have a demonstration. This was the moment I regretted wearing high heels. 237 00:22:43,910 --> 00:22:52,480 But. And you'll know Antony's appendix there was made out of tights. 238 00:22:52,920 --> 00:23:21,380 I happened to have a safety pin to. And then some lucky person in the audience, Joe, got got Anthony's appendix, another one. 239 00:23:22,280 --> 00:23:32,770 So, yeah, it was completely, completely mad. The $10 trillion are actually Zimbabwean dollars, which have a value of about 20 PPI or something. 240 00:23:32,780 --> 00:23:35,839 So sadly so I have been awarded $10 trillion. 241 00:23:35,840 --> 00:23:40,100 But that, yeah, sadly is not worth very much. 242 00:23:40,310 --> 00:23:42,950 I think that's all I wanted to say pretty much, other than I mean, 243 00:23:42,950 --> 00:23:47,860 we got lots of media stuff around the time and they loved all the pictures from it and it was really nice. 244 00:23:47,880 --> 00:23:51,890 It was really nice because it gave an opportunity to talk about kind of how much fun 245 00:23:51,890 --> 00:23:56,420 diagnostic accuracy research is and also kind of public engagement in science and things. 246 00:23:56,840 --> 00:24:02,299 And that's my final slide. I always like to put a picture of my cats in presentations. 247 00:24:02,300 --> 00:24:06,260 This is Agnes and Pippa, but they really like diagnostic accuracy studies, too. 248 00:24:07,400 --> 00:24:10,550 So, yes, that's all I want to say. Thank you very much.