MICA: Partnership for Assessment and Investigation of Neuropathic Pain: Studies Tracking Outcomes, Risks and Mechanisms (PAINSTORM).
Lead Research Organisation:
University of Oxford
Department Name: Clinical Neurosciences
Abstract
This consortium brings together experts in Neuropathic pain (NeuP). NeuP affects 8% of the population and is caused by damage to the sensory nervous system (through conditions such as diabetes, chemotherapy and HIV). It is increasingly common as a consequence of the ageing population, increasing levels of diabetes and enhanced cancer survival.
NeuP has a major negative impact on quality of life. Unfortunately current management options are inadequate as they are only effective in a small subgroup of patients. Additionally, whilst NeuP impact is multidimensional, most research and clinical management in this area is separate rather than being interdisciplinary. They over emphasise pharmacological approaches, often associated with side effects, rather than taking a more holistic approach addressing the complex social and psychological aspects of NeuP.
To rectify this situation we need to understand the mechanisms driving NeuP in patients. In order to do so, PAINSTORM will use a broad range of approaches cutting across traditional disciplinary boundaries, to uncover the causes of NeuP and understand how they interact.
This inter-disciplinary collaboration will include people living with NeuP (embedding patient and public involvement), scientists from diverse clinical and scientific backgrounds, and industry expertise to help translate the research into effective, multifaceted interventions.
Our focus will be on studying people at risk of NeuP and following their progress over time. We will use a number of established cohorts, as well as recruiting new participants, and harmonise outcomes with national scale community studies.
A key question is understanding why some people are severely impacted by NeuP whilst others with a similar pattern of nerve damage are not. Hence we will identify the personal characteristics (such as age, gender and ethnicity), environmental/social and clinical factors which determine NeuP risk. We will identify and validate novel genetic risk factors for NeuP.
Tissue samples and patient-derived cells will be used to validate molecular pathways contributing to chronic NeuP and help develop blood biomarkers. These samples will be stored and made available to other researchers via a biobank. We will optimise measures to assess NeuP, including sensory profiling, application of remote monitoring and assessment of psychosocial factors to understand the impact of pain on daily activities (from self-care to work) and important conditions that are often associated with chronic pain such as depression, anxiety and poor sleep.
We will use innovative technologies, including brain, spinal cord and nerve imaging and electrophysiology, to directly assess the factors that drive NeuP. We will integrate this multi-dimensional dataset to understand the interaction between risk and protective factors. We will develop biomarkers, as a means to measure pain and how it changes over time, which can be applied to clinical practice and drug trials. We aim to improve targeting of existing therapies, as well as identifying and prioritising novel treatment targets.
We will engage key stakeholder groups including health professionals, people living with NeuP and industry at the outset and throughout PAINSTORM. Results will be widely disseminated through development of accessible databases, lay summaries, an accessible biobank and ongoing training of scientists and clinicians both within and external to our consortium to enhance impact. Our aim is that PAINSTORM should transform lives through our understanding and future interdisciplinary management of NeuP.
NeuP has a major negative impact on quality of life. Unfortunately current management options are inadequate as they are only effective in a small subgroup of patients. Additionally, whilst NeuP impact is multidimensional, most research and clinical management in this area is separate rather than being interdisciplinary. They over emphasise pharmacological approaches, often associated with side effects, rather than taking a more holistic approach addressing the complex social and psychological aspects of NeuP.
To rectify this situation we need to understand the mechanisms driving NeuP in patients. In order to do so, PAINSTORM will use a broad range of approaches cutting across traditional disciplinary boundaries, to uncover the causes of NeuP and understand how they interact.
This inter-disciplinary collaboration will include people living with NeuP (embedding patient and public involvement), scientists from diverse clinical and scientific backgrounds, and industry expertise to help translate the research into effective, multifaceted interventions.
Our focus will be on studying people at risk of NeuP and following their progress over time. We will use a number of established cohorts, as well as recruiting new participants, and harmonise outcomes with national scale community studies.
A key question is understanding why some people are severely impacted by NeuP whilst others with a similar pattern of nerve damage are not. Hence we will identify the personal characteristics (such as age, gender and ethnicity), environmental/social and clinical factors which determine NeuP risk. We will identify and validate novel genetic risk factors for NeuP.
Tissue samples and patient-derived cells will be used to validate molecular pathways contributing to chronic NeuP and help develop blood biomarkers. These samples will be stored and made available to other researchers via a biobank. We will optimise measures to assess NeuP, including sensory profiling, application of remote monitoring and assessment of psychosocial factors to understand the impact of pain on daily activities (from self-care to work) and important conditions that are often associated with chronic pain such as depression, anxiety and poor sleep.
We will use innovative technologies, including brain, spinal cord and nerve imaging and electrophysiology, to directly assess the factors that drive NeuP. We will integrate this multi-dimensional dataset to understand the interaction between risk and protective factors. We will develop biomarkers, as a means to measure pain and how it changes over time, which can be applied to clinical practice and drug trials. We aim to improve targeting of existing therapies, as well as identifying and prioritising novel treatment targets.
We will engage key stakeholder groups including health professionals, people living with NeuP and industry at the outset and throughout PAINSTORM. Results will be widely disseminated through development of accessible databases, lay summaries, an accessible biobank and ongoing training of scientists and clinicians both within and external to our consortium to enhance impact. Our aim is that PAINSTORM should transform lives through our understanding and future interdisciplinary management of NeuP.
Technical Summary
Neuropathic pain (NeuP) affects 8% of the population and prevalence is increasing due to the aging population, diabetes epidemic and enhanced cancer survival. It has a major negative impact on quality of life and current management options are inadequate due to poor efficacy and tolerability. PAINSTORM will bring together people living with NeuP, academics from diverse backgrounds, and industry in order to apply an inter-disciplinary approach to improve understanding and management of NeuP. Our focus will be prospective studies of people at risk of NeuP using established as well as new cohorts and harmonising outcomes with national scale community studies. We will identify the demographic, environmental/psychosocial and clinical factors which determine NeuP risk (both vulnerability and protective factors). We will validate and find novel genetic risk factors for NeuP. Tissue samples and patient-derived cells will be used to validate molecular pathways contributing to chronic NeuP and help develop blood biomarkers. We will optimise measures to assess NeuP in a person-centred manner, including sensory profiling, remote monitoring and assessment of psychosocial factors to understand the impact of pain on daily activities (from self-care to work) and important co-morbidities such as depression, anxiety and poor sleep. Functional brain and neural imaging as well as electrophysiology will be used to determine pathophysiological processes underlying NeuP. This multi-dimensional dataset will be integrated in order to understand the interaction between risk and protective factors, develop composite biomarkers, identify and prioritise novel treatment targets as well as improve the targeting of existing therapies. We will engage key stakeholder groups including health professionals, people living with NeuP and industry at the outset and throughout PAINSTORM. Our aim is that PAINSTORM will transform lives through our improved understanding and future management of NeuP.
Organisations
- University of Oxford, United Kingdom (Collaboration, Lead Research Organisation)
- University College London, United Kingdom (Collaboration)
- Bath Spa University, United Kingdom (Collaboration)
- University of Bristol, United Kingdom (Collaboration)
- Kiel University, Germany (Collaboration)
- Imperial College London, United Kingdom (Collaboration)
- Aarhus University Hospital (Collaboration)
- Royal Holloway, University of London, United Kingdom (Collaboration)
- Technion Israel Institue of Technology, Israel (Collaboration)
- University of the West of England, United Kingdom (Collaboration)
- Keele University, United Kingdom (Collaboration)
- University of Dundee, United Kingdom (Collaboration)
- Cardiff University, United Kingdom (Collaboration)
- University of Sussex, United Kingdom (Collaboration)
- Aarhus University, Denmark (Collaboration)
- National Institute of Health and Medical Research (INSERM) (Collaboration)
- Lund University (Collaboration)
- University of Ghent, Belgium (Collaboration)
- University of Bath, United Kingdom (Collaboration)
Publications

Baskozos G
(2022)
Classification of painful or painless diabetic peripheral neuropathy and identification of the most powerful predictors using machine learning models in large cross-sectional cohorts
in BMC Medical Informatics and Decision Making

Dawes JM
(2021)
Addressing the gender pain gap.
in Neuron

Evans MC
(2021)
Magnetic Resonance Imaging as a Biomarker in Diabetic and HIV-Associated Peripheral Neuropathy: A Systematic Review-Based Narrative.
in Frontiers in neuroscience

Fundaun J
(2021)
Nerve pathology and neuropathic pain after whiplash injury a systematic review and meta-analysis
in Pain

Perez-Sanchez J
(2021)
Harnessing bacterial toxins to treat pain
in Nature Neuroscience
Title | PAINSTORM logo |
Description | The PAINSTORM logo was developed by Emma Rankin and Angela Gillies, MFA candidates in Art, Science and Visual Thinking from the Duncan of Jordanstone College of Art & Design at the University of Dundee. The logo aims to represent not only pain, but also hope: the image begins from a central point that evokes a tangle of nerve endings, and unwinds towards a representation of lights, which will call to mind the journey from illness to recovery. |
Type Of Art | Artwork |
Year Produced | 2021 |
Impact | The logo gives PAINSTORM a distinct, recognisable identity, which is valuable for public engagement. |
Description | Lead of the sciatica working group commissioned by the Neuropathic Pain Special Interest Group of the International Association for the Study of Pain |
Geographic Reach | Multiple continents/international |
Policy Influence Type | Membership of a guideline committee |
Description | FORECAST: Advanced Pain Discovery Platform |
Amount | £57,822,179 (GBP) |
Funding ID | MR/W027003/1 |
Organisation | United Kingdom Research and Innovation |
Sector | Public |
Country | United Kingdom |
Start | 04/2022 |
End | 05/2025 |
Description | Collaboration between FORECAST and ALLEVIATE |
Organisation | University of Dundee |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | we will on-board our dataset to the APDP ALLEVIATE hub. |
Collaborator Contribution | the Alleviate hub will curate our FORECAST dataset |
Impact | no output yet |
Start Year | 2022 |
Description | Collaboration between FORECAST and PAINSTORM |
Organisation | University of Oxford |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | collaboration between FORECAST and PAINSTORM based on data sharing and harmonisation of cohorts. Also overlap of PPI activities. |
Collaborator Contribution | collaboration between FORECAST and PAINSTORM based on data sharing and harmonisation of cohorts. Also overlap of PPI activities. |
Impact | Multidisciplinary collaboration, including physiotherapists, neurologists, spinal orthopaedic surgeons, clincial psychologists, bioinformaticians, MR physicists, biomedical scientists, analytical chemists, patient insight partners |
Start Year | 2022 |
Description | Collaboration between PAINSTORM and Alleviate |
Organisation | University of Dundee |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | We will contribute the PAINSTORM data, in an anonymised format, to the Alleviate project, as well as our expertise on data related to neuropathic pain. Several PAINSTORM members are also members of the Alleviate consortium. |
Collaborator Contribution | Alleviate is the APDP Pain Research Data Hub. Alleviate will transform UK pain datasets, including the PAINSTORM dataset, to be Findable, Accessible, Interoperable and Reusable (FAIR), and provide expert data engineering, to enhance responsible, timely and trustworthy analysis by researchers and innovators. |
Impact | This is a multi-disciplinary collaboration, involving clinicians, psychologists, geneticists, and data scientists. |
Start Year | 2021 |
Description | Collaboration between PAINSTORM and CRISPP consortium |
Organisation | Bath Spa University |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Professor Geert Crombez is on the advisory board for the UKRI/Versus Arthritis funded APDP CRISPP consortium led by Professor Ed Keogh. Professor Crombez along with other members of PAINSTORM will work with the CRISPP consortium to harmonize psychosocial measurement/models where possible. |
Collaborator Contribution | Findings from the CRISPP consortium will be drawn upon particularly in the psychosocial work package of PAINSTORM to further develop or conceptual models and assessment approaches. |
Impact | This collaboration is multidisciplinary and includes clinicians, psychologists, social scientists, and data scientists. |
Start Year | 2021 |
Description | Collaboration between PAINSTORM and CRISPP consortium |
Organisation | Cardiff University |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Professor Geert Crombez is on the advisory board for the UKRI/Versus Arthritis funded APDP CRISPP consortium led by Professor Ed Keogh. Professor Crombez along with other members of PAINSTORM will work with the CRISPP consortium to harmonize psychosocial measurement/models where possible. |
Collaborator Contribution | Findings from the CRISPP consortium will be drawn upon particularly in the psychosocial work package of PAINSTORM to further develop or conceptual models and assessment approaches. |
Impact | This collaboration is multidisciplinary and includes clinicians, psychologists, social scientists, and data scientists. |
Start Year | 2021 |
Description | Collaboration between PAINSTORM and CRISPP consortium |
Organisation | Keele University |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Professor Geert Crombez is on the advisory board for the UKRI/Versus Arthritis funded APDP CRISPP consortium led by Professor Ed Keogh. Professor Crombez along with other members of PAINSTORM will work with the CRISPP consortium to harmonize psychosocial measurement/models where possible. |
Collaborator Contribution | Findings from the CRISPP consortium will be drawn upon particularly in the psychosocial work package of PAINSTORM to further develop or conceptual models and assessment approaches. |
Impact | This collaboration is multidisciplinary and includes clinicians, psychologists, social scientists, and data scientists. |
Start Year | 2021 |
Description | Collaboration between PAINSTORM and CRISPP consortium |
Organisation | Royal Holloway, University of London |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Professor Geert Crombez is on the advisory board for the UKRI/Versus Arthritis funded APDP CRISPP consortium led by Professor Ed Keogh. Professor Crombez along with other members of PAINSTORM will work with the CRISPP consortium to harmonize psychosocial measurement/models where possible. |
Collaborator Contribution | Findings from the CRISPP consortium will be drawn upon particularly in the psychosocial work package of PAINSTORM to further develop or conceptual models and assessment approaches. |
Impact | This collaboration is multidisciplinary and includes clinicians, psychologists, social scientists, and data scientists. |
Start Year | 2021 |
Description | Collaboration between PAINSTORM and CRISPP consortium |
Organisation | University College London |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Professor Geert Crombez is on the advisory board for the UKRI/Versus Arthritis funded APDP CRISPP consortium led by Professor Ed Keogh. Professor Crombez along with other members of PAINSTORM will work with the CRISPP consortium to harmonize psychosocial measurement/models where possible. |
Collaborator Contribution | Findings from the CRISPP consortium will be drawn upon particularly in the psychosocial work package of PAINSTORM to further develop or conceptual models and assessment approaches. |
Impact | This collaboration is multidisciplinary and includes clinicians, psychologists, social scientists, and data scientists. |
Start Year | 2021 |
Description | Collaboration between PAINSTORM and CRISPP consortium |
Organisation | University of Bath |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Professor Geert Crombez is on the advisory board for the UKRI/Versus Arthritis funded APDP CRISPP consortium led by Professor Ed Keogh. Professor Crombez along with other members of PAINSTORM will work with the CRISPP consortium to harmonize psychosocial measurement/models where possible. |
Collaborator Contribution | Findings from the CRISPP consortium will be drawn upon particularly in the psychosocial work package of PAINSTORM to further develop or conceptual models and assessment approaches. |
Impact | This collaboration is multidisciplinary and includes clinicians, psychologists, social scientists, and data scientists. |
Start Year | 2021 |
Description | Collaboration between PAINSTORM and CRISPP consortium |
Organisation | University of Bristol |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Professor Geert Crombez is on the advisory board for the UKRI/Versus Arthritis funded APDP CRISPP consortium led by Professor Ed Keogh. Professor Crombez along with other members of PAINSTORM will work with the CRISPP consortium to harmonize psychosocial measurement/models where possible. |
Collaborator Contribution | Findings from the CRISPP consortium will be drawn upon particularly in the psychosocial work package of PAINSTORM to further develop or conceptual models and assessment approaches. |
Impact | This collaboration is multidisciplinary and includes clinicians, psychologists, social scientists, and data scientists. |
Start Year | 2021 |
Description | Collaboration between PAINSTORM and CRISPP consortium |
Organisation | University of the West of England |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Professor Geert Crombez is on the advisory board for the UKRI/Versus Arthritis funded APDP CRISPP consortium led by Professor Ed Keogh. Professor Crombez along with other members of PAINSTORM will work with the CRISPP consortium to harmonize psychosocial measurement/models where possible. |
Collaborator Contribution | Findings from the CRISPP consortium will be drawn upon particularly in the psychosocial work package of PAINSTORM to further develop or conceptual models and assessment approaches. |
Impact | This collaboration is multidisciplinary and includes clinicians, psychologists, social scientists, and data scientists. |
Start Year | 2021 |
Description | Collaboration between PAINSTORM and DOLORisk |
Organisation | Aarhus University |
Country | Denmark |
Sector | Academic/University |
PI Contribution | We will follow up some of the cross-sectional cohorts recruited in DOLORisk, a Horizon 2020-funded project (2015-2020). The longitudinal design of PAINSTORM will allow us to expand the understanding of neuropathic pain that was achieved in the DOLORisk project and draw new conclusions on risk and protective factors. |
Collaborator Contribution | Some baseline phenotypic data will be provided by DOLORisk and we will aim to follow up these participants after 2 years and 5 years. We will also be able to use the genetic data generated in DOLORisk to add to the PAINSTORM cohorts and replicate these results. The DOLORisk study protocol forms the basis of the PAINSTORM common protocol for deep phenotyping of participants. |
Impact | It is multi-disciplinary including clinicians, geneticists and psychologists. |
Start Year | 2021 |
Description | Collaboration between PAINSTORM and DOLORisk |
Organisation | Aarhus University Hospital |
Country | Denmark |
Sector | Hospitals |
PI Contribution | We will follow up some of the cross-sectional cohorts recruited in DOLORisk, a Horizon 2020-funded project (2015-2020). The longitudinal design of PAINSTORM will allow us to expand the understanding of neuropathic pain that was achieved in the DOLORisk project and draw new conclusions on risk and protective factors. |
Collaborator Contribution | Some baseline phenotypic data will be provided by DOLORisk and we will aim to follow up these participants after 2 years and 5 years. We will also be able to use the genetic data generated in DOLORisk to add to the PAINSTORM cohorts and replicate these results. The DOLORisk study protocol forms the basis of the PAINSTORM common protocol for deep phenotyping of participants. |
Impact | It is multi-disciplinary including clinicians, geneticists and psychologists. |
Start Year | 2021 |
Description | Collaboration between PAINSTORM and DOLORisk |
Organisation | Imperial College London |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | We will follow up some of the cross-sectional cohorts recruited in DOLORisk, a Horizon 2020-funded project (2015-2020). The longitudinal design of PAINSTORM will allow us to expand the understanding of neuropathic pain that was achieved in the DOLORisk project and draw new conclusions on risk and protective factors. |
Collaborator Contribution | Some baseline phenotypic data will be provided by DOLORisk and we will aim to follow up these participants after 2 years and 5 years. We will also be able to use the genetic data generated in DOLORisk to add to the PAINSTORM cohorts and replicate these results. The DOLORisk study protocol forms the basis of the PAINSTORM common protocol for deep phenotyping of participants. |
Impact | It is multi-disciplinary including clinicians, geneticists and psychologists. |
Start Year | 2021 |
Description | Collaboration between PAINSTORM and DOLORisk |
Organisation | Lund University |
Country | Sweden |
Sector | Academic/University |
PI Contribution | We will follow up some of the cross-sectional cohorts recruited in DOLORisk, a Horizon 2020-funded project (2015-2020). The longitudinal design of PAINSTORM will allow us to expand the understanding of neuropathic pain that was achieved in the DOLORisk project and draw new conclusions on risk and protective factors. |
Collaborator Contribution | Some baseline phenotypic data will be provided by DOLORisk and we will aim to follow up these participants after 2 years and 5 years. We will also be able to use the genetic data generated in DOLORisk to add to the PAINSTORM cohorts and replicate these results. The DOLORisk study protocol forms the basis of the PAINSTORM common protocol for deep phenotyping of participants. |
Impact | It is multi-disciplinary including clinicians, geneticists and psychologists. |
Start Year | 2021 |
Description | Collaboration between PAINSTORM and DOLORisk |
Organisation | National Institute of Health and Medical Research (INSERM) |
Country | France |
Sector | Academic/University |
PI Contribution | We will follow up some of the cross-sectional cohorts recruited in DOLORisk, a Horizon 2020-funded project (2015-2020). The longitudinal design of PAINSTORM will allow us to expand the understanding of neuropathic pain that was achieved in the DOLORisk project and draw new conclusions on risk and protective factors. |
Collaborator Contribution | Some baseline phenotypic data will be provided by DOLORisk and we will aim to follow up these participants after 2 years and 5 years. We will also be able to use the genetic data generated in DOLORisk to add to the PAINSTORM cohorts and replicate these results. The DOLORisk study protocol forms the basis of the PAINSTORM common protocol for deep phenotyping of participants. |
Impact | It is multi-disciplinary including clinicians, geneticists and psychologists. |
Start Year | 2021 |
Description | Collaboration between PAINSTORM and DOLORisk |
Organisation | Technion - Israel Institute of Technology |
Country | Israel |
Sector | Academic/University |
PI Contribution | We will follow up some of the cross-sectional cohorts recruited in DOLORisk, a Horizon 2020-funded project (2015-2020). The longitudinal design of PAINSTORM will allow us to expand the understanding of neuropathic pain that was achieved in the DOLORisk project and draw new conclusions on risk and protective factors. |
Collaborator Contribution | Some baseline phenotypic data will be provided by DOLORisk and we will aim to follow up these participants after 2 years and 5 years. We will also be able to use the genetic data generated in DOLORisk to add to the PAINSTORM cohorts and replicate these results. The DOLORisk study protocol forms the basis of the PAINSTORM common protocol for deep phenotyping of participants. |
Impact | It is multi-disciplinary including clinicians, geneticists and psychologists. |
Start Year | 2021 |
Description | Collaboration between PAINSTORM and DOLORisk |
Organisation | University of Dundee |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | We will follow up some of the cross-sectional cohorts recruited in DOLORisk, a Horizon 2020-funded project (2015-2020). The longitudinal design of PAINSTORM will allow us to expand the understanding of neuropathic pain that was achieved in the DOLORisk project and draw new conclusions on risk and protective factors. |
Collaborator Contribution | Some baseline phenotypic data will be provided by DOLORisk and we will aim to follow up these participants after 2 years and 5 years. We will also be able to use the genetic data generated in DOLORisk to add to the PAINSTORM cohorts and replicate these results. The DOLORisk study protocol forms the basis of the PAINSTORM common protocol for deep phenotyping of participants. |
Impact | It is multi-disciplinary including clinicians, geneticists and psychologists. |
Start Year | 2021 |
Description | Collaboration between PAINSTORM and DOLORisk |
Organisation | University of Ghent |
Country | Belgium |
Sector | Academic/University |
PI Contribution | We will follow up some of the cross-sectional cohorts recruited in DOLORisk, a Horizon 2020-funded project (2015-2020). The longitudinal design of PAINSTORM will allow us to expand the understanding of neuropathic pain that was achieved in the DOLORisk project and draw new conclusions on risk and protective factors. |
Collaborator Contribution | Some baseline phenotypic data will be provided by DOLORisk and we will aim to follow up these participants after 2 years and 5 years. We will also be able to use the genetic data generated in DOLORisk to add to the PAINSTORM cohorts and replicate these results. The DOLORisk study protocol forms the basis of the PAINSTORM common protocol for deep phenotyping of participants. |
Impact | It is multi-disciplinary including clinicians, geneticists and psychologists. |
Start Year | 2021 |
Description | Collaboration between PAINSTORM and DOLORisk |
Organisation | University of Kiel |
Country | Germany |
Sector | Academic/University |
PI Contribution | We will follow up some of the cross-sectional cohorts recruited in DOLORisk, a Horizon 2020-funded project (2015-2020). The longitudinal design of PAINSTORM will allow us to expand the understanding of neuropathic pain that was achieved in the DOLORisk project and draw new conclusions on risk and protective factors. |
Collaborator Contribution | Some baseline phenotypic data will be provided by DOLORisk and we will aim to follow up these participants after 2 years and 5 years. We will also be able to use the genetic data generated in DOLORisk to add to the PAINSTORM cohorts and replicate these results. The DOLORisk study protocol forms the basis of the PAINSTORM common protocol for deep phenotyping of participants. |
Impact | It is multi-disciplinary including clinicians, geneticists and psychologists. |
Start Year | 2021 |
Description | Collaboration between PAINSTORM and DOLORisk |
Organisation | University of Oxford |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | We will follow up some of the cross-sectional cohorts recruited in DOLORisk, a Horizon 2020-funded project (2015-2020). The longitudinal design of PAINSTORM will allow us to expand the understanding of neuropathic pain that was achieved in the DOLORisk project and draw new conclusions on risk and protective factors. |
Collaborator Contribution | Some baseline phenotypic data will be provided by DOLORisk and we will aim to follow up these participants after 2 years and 5 years. We will also be able to use the genetic data generated in DOLORisk to add to the PAINSTORM cohorts and replicate these results. The DOLORisk study protocol forms the basis of the PAINSTORM common protocol for deep phenotyping of participants. |
Impact | It is multi-disciplinary including clinicians, geneticists and psychologists. |
Start Year | 2021 |
Description | Collaboration with University of Sussex on multi centre whiplash cohort |
Organisation | University of Sussex |
Department | Brighton and Sussex Medical School |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | This project is part of a multi centre cohort study in collaboration with the University of Sussex (Prof Andrew Dilley). Half of the participants' data are being collected in Brighton, and half in Oxford. Oxford has been leading on the question relating to small fibre degeneration and its prognostic ability after whiplash injury. We have trained the Brighton team in skin biopsy acquisition and processing. |
Collaborator Contribution | This project is part of a multi centre cohort study in collaboration with the University of Sussex (Prof Andrew Dilley). Half of the participants' data are being collected in Brighton, and half in Oxford. Brighton has the lead of the Versus Arthritis funded project onto which this project is added to. |
Impact | 1. publication in PAIN: • Fundaun J, Kolski M, Baskozos G, Dilley A, Sterling M, Schmid AB. Nerve pathology and neuropathic pain after whiplash injury: a systematic review and meta-analysis. Pain 2021; online ahead of print. this is a multidisciplinary collaboration, including Physiotherapists, MR physicists, statisticians and neurophysiologists. |
Start Year | 2020 |
Description | collaboration between APDP FORECAST and PAINSTORM consortium |
Organisation | University of Oxford |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | The whiplash cohort has been added to the Advanced Pain Discovery Platform funded PAINSTORM consortium. |
Collaborator Contribution | The industry partner of PAINSTORM (Eli Lilly) will provide in-kind provision of neurofilament light chain evaluation in blood of patients after whiplash injury as a marker of neuronal injury. |
Impact | This is an interdisciplinary collaboration involving academia and industry. no outputs as yet, as we are still finalising data collection |
Start Year | 2022 |
Description | International Association for the Study of Pain Virtual Congress, June, 2021. Poster. |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | poster presentation at largest Conference of Pain worldwide. Engaged with attendees online and had stimulating discussions. |
Year(s) Of Engagement Activity | 2021 |
Description | Invited speaker British Peripheral Nerve Society Annual Meeting |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | invited lecture at BPNS annual meeting. Sparked interesting discussions and networking. |
Year(s) Of Engagement Activity | 2022 |
Description | PAINSTORM Harmonisation meeting (27/09/2021) |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Study participants or study members |
Results and Impact | Members of the PAINSTORM consortium, in particular those involved in the recruitment of study participants and data handling, met to agree on the set of questionnaires that would form a common protocol to all PAINSTORM centres. The aim was to guarantee data harmonisation across the consortium. We based the protocols on the DOLORisk study, and discussed modifications and enhancements, especially in terms of better capturing the participants' lived experience of pain. The list of questionnaires was finalised in the weeks following the meeting. |
Year(s) Of Engagement Activity | 2021 |
Description | PAINSTORM Kick-off meeting (26/07/2021) |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Study participants or study members |
Results and Impact | 30 members of the PAINSTORM consortium (academics, patient partners and industry partners) took part in an online kick-off meeting to go through the project's objectives and plans. We discussed management issues, went through each work package to define priorities for the first months of the project, and set out some principles for public and patient involvement. |
Year(s) Of Engagement Activity | 2021 |
Description | Presentation on the use of 'Big Data' to a pain workshop at the Academy of Medical Sciences aimed at improving development of new analgesics. |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | This was a broad workshop organised by the Academy of Medical Sciences. The aim was to facilitate understanding of and develop new treatments for pain. It involved some lectures but also breakout session/workshop to discuss issues in the pain field. There were diverse participants which made for a very interactive discussion. |
Year(s) Of Engagement Activity | 2021 |
Description | Talk at Physio UK conference |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | invited talk at Physio UK conferences, presenting our data on the whiplash systematic review. Conference was held online due to COVID-19, which meant a larger audience could be reached. Sparked many questions and good discussions. |
Year(s) Of Engagement Activity | 2021 |
Description | podcast tete a tete podcast |
Form Of Engagement Activity | A broadcast e.g. TV/radio/film/podcast (other than news/press) |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Public/other audiences |
Results and Impact | invited speaker on tete a tete podcast with Niklaus Haldimann, who interviews interesting people from diverse backgrounds. |
Year(s) Of Engagement Activity | 2022 |
URL | https://podcast-tete-a-tete.podigee.io |
Description | presentation at online datablitz session IASP |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | competitively selected for Data Blitz Presentation for IASP. Presented whiplash systematic review and participated in question and answer session. This session reached an international audience and is still available online for members of IASP. |
Year(s) Of Engagement Activity | 2021 |
URL | https://www.iasp-pain.org/event/iasp-neupsig-data-blitz-group-3/ |