Our new paper on analysing patient reported outcome data is out - a collaborative effort we hope will be useful! Free access link: authors.elsevier.com/c/1kASN1Hx52K0…
@dr_jm_price @finn_corinne @DrKateAbsolom @pao_adventures @yorke_janelle
@dr_jm_price @finn_corinne @DrKateAbsolom @pao_adventures @yorke_janelle
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Isabella Fornacon-Wood retweeted
***Job Opportunity** Research Associate in Medical Statistics working on clinical prediction models at @OfficialUoM. Come and join our prediction group and work on fairness and causality in prediction. jobs.manchester.ac.uk/Job/JobDetail?…
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Isabella Fornacon-Wood retweeted
@AzadehAbravan @TheChristieNHS @TheChristieIntl @RRR_UoM @RT_physics @ESTRO_RT @finn_corinne @Al_McWilliam @achoud72 @CRUKresearch @AmerahAlshmrani @OfficialUoM @FBMH_UoM @elivaos @MaireadDaly15 @cynthiaeccles @AngieDavey_ @marianneaznar @janeshortall1 @dreamsofamedic @UoM_DCS @TheChristieSoO Manchester’s @Isabellamfw was GLOWING in her session on ‘Routinely collected ePROMs detect differences in HRQoL between patients with p16+ and p16- HNSCC’
She concluded that their work highlights the need for adequate support to improve HRQoL for patients with p16- disease 🧬
She concluded that their work highlights the need for adequate support to improve HRQoL for patients with p16- disease 🧬
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Isabella Fornacon-Wood retweeted
🎉 Big news from @TheChristieNHS ePROM team @MCRCnews🎉
To date
▶️ >50,000 ePROMs filled in
▶️ >18,000 patients enrolled onto the program
▶️ ePROMs rolled out to 33 disease sites and treatment pathways
▶️ 11 papers published/18 abstarcts
#HealthcareInnovation #PatientCare
To date
▶️ >50,000 ePROMs filled in
▶️ >18,000 patients enrolled onto the program
▶️ ePROMs rolled out to 33 disease sites and treatment pathways
▶️ 11 papers published/18 abstarcts
#HealthcareInnovation #PatientCare
Just published in @JCO_ASCO Clin Inf▶️Service Evaluation of MyChristie-MyHealth, an Electronic Patient-Reported Outcome Measure Integrated Into Clinical Cancer Care @TheChristieNHS @MCRCnews
🔑message▶️importance of ePROM acknowledgement by clinicians
pubmed.ncbi.nlm.nih.gov/38574311/
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Isabella Fornacon-Wood retweeted
📢Delighted to share our new paper!
Using a multi-centre study, we sought to 1) explore professional views of using rapid-learning & real-world data to inform radiotherapy treatments, and 2) identify key factors that may affect implementation of this approach in practice 1/2
Using a multi-centre study, we sought to 1) explore professional views of using rapid-learning & real-world data to inform radiotherapy treatments, and 2) identify key factors that may affect implementation of this approach in practice 1/2
Rapid-learning approaches may offer timely alternatives to traditional clinical trial studies for the evaluation of changes in radiotherapy.
A new study by @akapadi1 @davidfrenchx and colleagues
bmjoncology.bmj.com/content/3/1/e0…
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Brilliant 2 days at the @CRUKresearch #CRUKDataConf24 presenting our work on #ePROMs! Lots of interesting data discussions and great to speak to patient representatives about our ongoing work
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Got an interesting fortune tonight! Currently attending the #CausalIntroCourse by @PWGTennant and @GeorgiaTomova which is definitely influencing my future analysis plans… Highly recommend this course to anyone working with observational data!
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Isabella Fornacon-Wood retweeted
For #LungCancerAwarenessMonth we’ve been revisiting past episodes of our One In Two podcast. 🫁
In S2 E4 we spoke with @finn_corinne about #LungCancer clinical trials & how @TheChristieNHS RAPID RTN trial could improve survival rates.
🎧 Listen now 👉open.spotify.com/episode/1HKHHJ…
In S2 E4 we spoke with @finn_corinne about #LungCancer clinical trials & how @TheChristieNHS RAPID RTN trial could improve survival rates.
🎧 Listen now 👉open.spotify.com/episode/1HKHHJ…
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Isabella Fornacon-Wood retweeted
A big thank you to the UK Lung Clinical Oncology community for supporting this national @COVIDRT_Lung effort ➡️results on the effect of hypofractionated RT treatments are very relevant in the current climate of increased workload in most NHS trusts @KathrynBanfill @Isabellamfw
Another important contribution from @COVIDRT_Lung ✅Future-proofing lung RT for pandemics ✅ ⬆️use of #hypofractionation ✅No adverse impact on relapse/survival ✅⚠️increase in toxicities @KathrynBanfill @finn_corinne @ClinOncology #radonc #lcsm ➡️ clinicaloncologyonline.net/article/S0936-…
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Isabella Fornacon-Wood retweeted
*** Just uploaded a new video 📽️ ***
"Key Steps and Common Pitfalls in Clinical Prediction Model Research"
Hope helpful - aimed at a broad audience 🙏
youtube.com/watch?v=eM7K8N…
"Key Steps and Common Pitfalls in Clinical Prediction Model Research"
Hope helpful - aimed at a broad audience 🙏
youtube.com/watch?v=eM7K8N…
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Isabella Fornacon-Wood retweeted
The 2023 edition of my long-running anti-establishment art-science-fusion code-therapy smooth-baritone causal inference & Bayesian data analysis course is complete. 20 lectures, from the basics of causal inference & Bayesian updating to mixed models & Gaussian processes. 1/2
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Isabella Fornacon-Wood retweeted
.@Isabellamfw presenting the follow up data from @COVIDRT_Lung. Patients who had a change to treatment had increased G3 toxicity compared to those who had their centre's standard but no difference in survival.
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Isabella Fornacon-Wood retweeted
In Regard to Fornacon-Wood et al. redjournal.org/article/S0360-…
Now out in the @IJROBP, our response to an article on Bayesian vs. Frequentist Statistics, (with @learnfromerror, Stephanie Pugh, PhD, John Park, MD, @cd_fuller, and @DrJohnKang)
Now out in the @IJROBP, our response to an article on Bayesian vs. Frequentist Statistics, (with @learnfromerror, Stephanie Pugh, PhD, John Park, MD, @cd_fuller, and @DrJohnKang)
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Isabella Fornacon-Wood retweeted
@ZachWeiner This feels like an argument about whether fork or spoon is best. Two very different tools. They are measuring very different things. See: redjournal.org/article/S0360-… for a great overview.
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Our latest paper is now available online!
We used a Bayesian approach to show that reducing the IGRT action threshold reduces risk of death associated with residual setup errors in patients with lung cancer 🫁📈@finn_corinne @RT_physics @corinnej21
authors.elsevier.com/sd/article/S01…
We used a Bayesian approach to show that reducing the IGRT action threshold reduces risk of death associated with residual setup errors in patients with lung cancer 🫁📈@finn_corinne @RT_physics @corinnej21
authors.elsevier.com/sd/article/S01…
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Isabella Fornacon-Wood retweeted
🔑message from our big data analysis👉🏽IMRT is associated with to more patients receiving curative-intent radiotherapy👉🏽highly relevant given the low number of patients with locally advanced lung cancer receiving radical RT in the UK as reported by Adizie clinicaloncologyonline.net/article/S0936-…
Our paper on the impact of IMRT on lung cancer patients is out! We analysed >12,000 patients over 3 time periods finding that over time more patients were treated radically, larger volumes were treated and survival improved @finn_corinne @RT_physics frontiersin.org/articles/10.33…
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Our paper on the impact of IMRT on lung cancer patients is out! We analysed >12,000 patients over 3 time periods finding that over time more patients were treated radically, larger volumes were treated and survival improved @finn_corinne @RT_physics frontiersin.org/articles/10.33…
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Isabella Fornacon-Wood retweeted
Superb paper from @finn_corinne and the team at the Christie: using big data and analysing the outcomes of >12000 patient they have shown that the use of #IMRT in #lungcancer is associated with ⬆️ survival. #ESTRO2022
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