Article Text
Abstract
Introduction Imprecise nutritional recommendations due to a lack of diagnostic test accuracy are a frequent problem for individuals with adverse reactions to foods but no precise diagnosis. Consequently, patients follow very broad and strict elimination diets to avoid uncontrolled symptoms such as diarrhoea and abdominal pain. Dietary limitations and the uncertainty of developing gastrointestinal symptoms after the inadvertent ingestion of food have been demonstrated to reduce the quality of life (QoL) of affected individuals and subsequently might increase the risk of malnutrition and intestinal dysbiosis. This trial aims to investigate the effects of a tailored diet based on the confocal laser endoscopy (CLE) examination result to limit the side effects of unspecific and broad elimination diets and to increase the patient’s QoL.
Methods and analysis The study is designed as a prospective, double-blind, monocentric, randomised and controlled trial conducted at the University Hospital of Schleswig-Holstein, Campus Lübeck, Germany. One hundred seventy-two patients with non-IgE-related food allergies and positive CLE results will be randomised to either a tailored diet or a standard fivefold elimination diet. The primary endpoints are the difference between the end and the start of the intervention in health-related QoL and the sum score of the severity of symptoms after 12 weeks. Key secondary endpoints are changes in the severity of symptoms, further QoL measurements, self-assessed state of health and number of days with a pathologically altered stool. Microbiome diversity and metabolome of stool, urine and blood will also be investigated. Safety endpoints are body composition, body mass index and adverse events.
Ethics and dissemination The study protocol was accepted by the ethical committee of the University of Lübeck (AZ: 22-111) on 4 May2022. Results of the study will be published in peer-reviewed journals and presented at scientific meetings.
Trial registration number German Clinical Trials Register (DRKS00029323).
- GASTROENTEROLOGY
- Endoscopy
- Irritable Bowel Syndrome
- NUTRITION & DIETETICS
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STRENGTHS AND LIMITATIONS OF THIS STUDY
A large number of patient-reported outcomes within a short time frame will be collected.
All the data will be collected in a digital way.
There is a higher risk of study discontinuation in the standard elimination diet group.
Assessment of the primary endpoints will depend on the compliance of the study participants because questionnaires will be filled out via an application (app), not in presence in the trial site.
The participants must be able to use the app, which, given the presence of multiple questionnaires, can be quite intricate.
Introduction
It is estimated that 20% of the general population may suffer from adverse reactions to food (ARFs),1 which comprise disease phenotypes with either an immunological or non-immunological background. While non-immunological food intolerance (FI) is mainly represented by carbohydrate malassimilation,2 the immunologically mediated ARF is a more heterogenic condition comprising multiple different disease entities such as food allergy (FA), coeliac disease and eosinophilic colitis/oesophagitis.3 4 Symptoms of ARF can range from mild to severe and affect the whole body (systemic reaction) or one organ (eg, skin, lung or intestine) only.5 In cases where only the gastrointestinal (GI) tract is involved, symptoms are not indicative of either FA or FI and can occur many hours after ingesting the offending food, making a correct diagnosis difficult.6 Moreover, the double-blind placebo-controlled food challenge, the diagnostic gold standard in ARF, is time-consuming, expensive and potentially dangerous to the patient because of the risk of anaphylactic reactions.7 Therefore, this test is often omitted in daily routine despite national and international recommendations.7 8 As a consequence, many of the patients reporting ARFs are misdiagnosed with irritable bowel syndrome (IBS) or FA/anaphylaxis of unknown origin. FA is estimated to be a problem for 3–6% of the general population in Europe.9 However, emerging data imply that there might be a high rate of underdiagnosed and hence so far unknown cases due to a lack of sensitivity of diagnostic measures of anaphylaxis. One of the examples is a recently discovered allergy to meat, the so called α-Gal-syndrome,10 with abdominal symptoms only, thereby representing the endoluminal allergy to α-Gals.11
The uncertainty of the diagnosis, and the fear of unexpected and often uncontrollable GI symptoms lead to a significantly reduced quality of life (QoL). Additionally, imprecise nutritional recommendations create further problems. For example, affected individuals frequently follow a broad elimination diet to avoid symptom-inducing foods. This eventually increases the risk of malnutrition and reduces microbiome diversity, which has been hypothesised to reinforce ARF and thus might be counterproductive.12 That increasingly creates the need for tailored nutrition according to the specific clinical phenotype. As such, it not only efficiently prevents adverse reactions but also allows a much broader selection of foods and food ingredients compared with a ‘one-size-fits-all’ general diet.
Recently, confocal laser endomicroscopy (CLE) became commercially available. It is an advanced endoscopic method designed for the high-magnification imaging of the mucosal layer within the GI tract. Its primary capability lies in the potential for real-time histological diagnosis. CLE enables the imaging of dynamic processes, such as the breakdown of the intestinal barrier and the shedding of cells in response to allergen exposure, both of which are important signs indicating the presence of food allergies.
It has already been successfully used for patients with IBS to find the culprits of their symptoms.13 Patients who reacted to food during the CLE examination in that study experienced an improvement in their disease manifestation by 74% after adhering to the offending food-free diet. The newer study performed on patients with suspected non-coeliac wheat sensitivity (NCWS) did not demonstrate a clear clinical benefit of the CLE approach for clinically suspected NCWS patients.14
This trial aims to determine the effect of tailored nutritional therapy in patients with a positive reaction to endoluminal provocation with different foods, each representing one out of five main food allergens as confirmed by CLE on their health-related QoL (HRQoL), GI symptoms, nutritional status and microbiome composition.
Methods and analysis
Setting and recruitment
The planned trial is part of the project INDICATE-FH (improving diagnostics and therapy of food hypersensitivity, project no. 01EA2109A) consisting of seven subprojects. Patients suspected of having NCWS or a self-reported ARF—the trigger of which has not yet been found—are eligible for the study if they showed a positive reaction in the previous CLE-based endoluminal provocation test. In this test, provocation of the intestinal mucosa with milk, yeast, egg, soy and wheat, each dissolved in a 0.9% NaCl solution, will take place. However, the CLE measurement as such will not be part of this study.
The study is a prospective, double-blind, monocentric, randomised and controlled study. All examinations and personal meetings take place at the University Hospital of Schleswig-Holstein, Campus Lübeck. The study is conducted in compliance with the Declaration of Helsinki, the current revision of the International Conference on Harmonisation Topic E6 and the Guidelines for Good Clinical Practice. It will be reported according to current Standard Protocol Items: Recommendations for Interventional Trials and Consolidated Standards of Reporting Trials recommendations.15 16
Inclusion and exclusion criteria
Inclusion and exclusion criteria of the study are as follows:
Inclusion criteria
Patients with initial diagnosis of IBS suspected of having NCWS or an endoluminal atypical FA.
Positive mucosal reaction during previous CLE examination (according to CLE food allergy sensitivities test criteria) during a routine examination.
Duration of disease (GI symptoms) >6 months.
Age: 18–70 years.
Unchanged medication in a stable (unchanged) dose for at least 3 months.
Sufficient knowledge of German to understand the study material.
Possession of a smartphone.
Exclusion criteria
FA with a known allergen demonstrated by IgE detection.
History of anaphylactic reactions to food: inflammatory, structural or neoplastic GI disease or other relevant GI disorders such as proven carbohydrate malassimilation (via H2 breath test), coeliac disease, eosinophilic colitis and inflammatory bowel disease.
Existing or performed fivefold or sixfold oligoantigenic elimination diet within the last 6 months.
Regular use of antiallergic medications, antibiotics or proton pump inhibitors within the past 3 months.
Regular intake of probiotics or prebiotics within the previous 3 months.
Eating disorder such as anorexia or bulimia nervosa.
Harmful alcohol use within the previous 3 months.
Drug use in the last 3 months (other than smoking).
Clinically relevant acute or chronic inflammatory disease.
Pregnancy or breast feeding.
Standard diet and elimination diet
The standard diet of this study is an oligoantigenic basic diet. Patients will not be allowed to consume milk, egg, wheat, yeast or soy products. Patients in the tailored diet group must avoid the allergen for which the CLE result was positive. The dietary recommendations will be communicated to participants through the Perfood Labs application (app) provided by Perfood, Lübeck. They include the forbidden allergen(s) and examples of food products in which the allergen(s) can be found. Furthermore, the app has a database of different recipes available to the patients, allowing them to cook at home. There is also a guideline on how to order food in a restaurant. This will enable both groups to have a varied and balanced diet despite dietary restrictions.
Randomisation and concealment of allocation
Potential participants will be primarily identified by the INDICATE-FH subproject 1. In that subproject, patients with GI problems are subjected to a detailed diagnostic flow including allergy routine in vitro tests, carbohydrate malabsorption, gastroendoscopy and finally CLE to find a culprit of their symptoms. The results of the CLE will not be shared with the patients to ensure that they remain blinded for the duration of this clinical trial. Eligible study participants will be randomised blinded to their CLE results into two groups (1:1 allocation) by block randomisation with variable block length stratified by sex (female/male). To unlock the app, patients will receive a unique one-time activation key depending on the randomisation and CLE results. Both groups will receive dietary recommendations via the app after a successful app activation.
Registration and randomisation will be carried out centrally at the Institute of Medical Biometry and Statistics (IMBS) using standard operating procedures to guarantee the concealment of allocation. The activation keys from Perfood will be transferred from the IMBS to the trial site after the completion of the registration form for a patient by the site. This will also ensure the blindness of the medical personnel.
Screening, baseline and follow-up examinations
An overview of the design and visits of the study is shown in figure 1.
In the first study phase, the patient’s fulfilment of the inclusion and exclusion criteria will be checked in the site at screening. If the criteria are met and the written informed consent is given, the patients will be randomised, and the baseline characteristics will be collected. For this purpose, the body composition and body mass index (BMI) will be recorded. Blood, stool and urine will be collected for proinflammatory profile, microbiome and metabolome analyses. Via email, the patients will receive an activation key for the app, in which they will complete the questionnaires Food Allergy Quality of Life Questionnaire–Adult Form (FAQLQ-AF), Irritable Bowel Syndrome-Symptoms Severity Score (IBS-SSS), IBS-QoL, EuroQol-Visual Analogue Scale (EQ-VAS) and Bristol Stool Form Scale (BSFS). The collection via app is advantageous because it means less effort for the patients (no travelling to trial site), no risk of losing data and the time of completion can be decided by the patients within acceptable time windows. Furthermore, experience with regard to the use of an app within other clinical trials was positive, for example, as described in Lelleck et al.17
The 12-week intervention will begin with the first entry in the app (W0). Further measurement time points will be 4/8/12 weeks after W0 (visits W4, W8 and W12, respectively) and the first visit in presence (V1, 13 weeks after W0). During the first study phase, patients will complete the app’s EQ-VAS, BSFS and adherence questionnaire daily. The app will remind the patients to respond. The FAQLQ-AF, IBS-SSS and IBS-QoL questionnaires will be conducted every 4 weeks. These questionnaires will be available for 4 days. Patients will receive two push notifications to remind them to complete the questionnaires, that is, on W4/W8/W12 and 3 days after the respective visit date. After that, the questionnaires for the corresponding time point can no longer be filled out or edited. The diet diary is to be filled in every week via the app. As soon as symptoms occur, the symptom diary will also be filled out via the app. All symptoms, also those that do not affect the GI tract, should be reported. Medications taken should be reported by patients in the medication log provided in the app. At V1, similarly to V0, the body composition and BMI will be recorded. Blood, stool and urine will be collected as at baseline. The first phase of the trial will end at V1 with the assessment of the primary endpoints.
For continuation in the second phase, patients’ responses to the diet will be analysed after W12 by calculating the change in IBS-SSS from W0 to W12. This information will be automatically sent from Perfood to the IMBS further to maintain the criteria of double blindness in the study. Accordingly, patients with a reduction of ≥50 points will be defined as respondents, the others as non-respondents as described by Francis et al.18 This will lead to four groups:
Group 1: non-respondents in the standard diet group will not participate in the second phase because an improvement of the symptoms is not expected. Patients will be unblinded to their CLE result at V1.
Group 2: respondents in the standard diet group will receive nutritional recommendations based on their CLE results to determine whether a further improvement of symptoms and QoL will occur following the new recommendations.
Group 3: non-respondents in the tailored diet group will receive the opportunity to follow the standard diet to determine whether symptoms will improve following the new recommendations.
Group 4: respondents in the tailored diet group will continue their tailored diet to determine whether symptoms and QoL will improve or remain stable.
Patients of groups 2–4 will remain blinded until the study ends. These patients will receive new activation keys depending on their respondent/non-respondent status and their randomisation result.
The second study phase will start again with the first entry in the app (FU0) after V1. Further measurement time points will be 4/8/12 weeks after FU0 (visits FU4, FU8 and FU12, respectively) and the second visit in presence (V2, 13 weeks after FU0). During the follow-up, the FAQLQ-AF, IBS-SSS and IBS-QoL questionnaires will again be completed via the app every 4 weeks, as the weekly food diary, and the EQ-VAS, BSFS, and adherence questionnaire daily. The body composition will be recorded at V2, the same as in V1, and the BMI will be measured. Blood, stool and urine will be collected as before.
Endpoints
Microbiome analyses will be performed at the University of Hohenheim. Metabolite analyses of the urine, blood and stool samples will be performed at the Institute of Chemistry and Metabolomics at the University of Lübeck. The proinflammatory cytokine profile in the blood will be assessed at the Institute of Nutritional Medicine at the University Hospital of Schleswig-Holstein, Campus Lübeck. The IMBS will analyse all other endpoints.
Primary endpoints
In this study, two co-primary endpoints will be considered. The first co-primary endpoint is the difference between the score of HRQoL at W12 and W0 assessed by the FAQLQ-AF. The second co-primary endpoint is the sum score of the severity of symptoms at W12 measured with the IBS-SSS.
Secondary endpoints
Secondary endpoints are the severity of symptoms, HRQoL (measured by FAQLQ-AF and IBS-QoL), self-assessed state of health and the number of days with a pathologically altered stool. Changes will be investigated at W4, W8 and W12 compared with W0. Further secondary endpoints are microbiome diversity and stool, urine and blood metabolome. Secondary exploratory endpoints for the second study phase will investigate the endpoints within the respondent/non-respondent groups.
Compliance endpoints will be assessed to evaluate how strictly the patients adhered to the recommendations daily until W12. Every day, patients will be asked by yes/no question whether they followed the recommendations the entire day, that is, at breakfast, lunch, dinner, snack and beverages. Patients will be considered compliant:
For a given week, if they followed the recommendations at least 5 out of 7 days.
At W4, if they were compliant for at least 3 out of the previous 4 weeks (as defined above).
At W8, if they were compliant at W4 plus for at least 3 out of the last 4 weeks.
At W12, if they were compliant at W4 and W8 plus for at least 3 out of the last 4 weeks.
The same limits will be applied for the compliance assessment of the second study phase (FU0 until FU12).
Safety endpoints
The safety endpoints of the study are body composition measured with bioelectrical impedance analysis, BMI, and adverse and serious adverse events (AEs/SAEs).
Statistical analysis
All statistical analyses will be described in detail in the statistical analysis plan, which will be finalised before randomising the last patient in the study. No interim analyses or design adaptions are planned.
For all analyses, only patients will be considered who were successfully randomised, gave their informed consent and did not withdraw their consent during the course of the study. Safety endpoints will be evaluated in the safety analysis set. Primary and secondary endpoints will be assessed in the full analysis set (FAS). As sensitivity analyses, all endpoints will be evaluated in the intention-to-treat population and per-protocol (PP) population.
In this trial, non-compliance, that is, discontinuation of following the recommendations or not starting the intervention, can occur. There is a higher risk of study discontinuation in the standard elimination diet group as this diet is very restrictive and hard to follow for a long period of time. Medication intake concerning GI symptoms is allowed during the study if the medication intake will be defined as stable for 3 months at screening. We assumed that both groups would be affected equally. However, intake of new GI medication or higher doses than known and documented in the electronic case report form at baseline will be considered intercurrent events (IEs). Medication intake for non-GI-relevant disease areas only used in the short term will be allowed and will not affect the endpoints. Group switching is not possible per se by the patients’ wish, as the access to the nutritional recommendations will be steered by the app, and the patient will not see the other diet recommendations. Deviations from the recommendations will be counted as protocol deviations (PDs).
Additionally, a wrong activation key could be provided, leading to a group switch or a wrong tailored recommendation. However, this is very unlikely and counted as a PD. For the possible IEs mentioned above, the treatment policy strategy will be used primarily (ICH E9(R1), https://www.ema.europa.eu/en/documents/scientific-guideline/ich-e9-r1-addendum-estimands-sensitivity-analysis-clinical-trials-guideline-statistical-principles_en.pdf, accessed 7 January 2023). Estimands will be only considered for the first study phase.
The first co-primary endpoint will be tested with a linear model assuming variance homogeneity using a two-sided Wald test at a significance level of 5% in the FAS. The corresponding 95% CI will be estimated. For the second co-primary endpoint, the severity of symptoms at W12, an IBS-SSS difference of <50 points will be counted as non-inferior. The inferiority margin was chosen according to Francis et al.18 A stratified t-test will test the corresponding hypothesis at a one-sided significance level of 2.5% in the PP set. Mean difference and corresponding 97.5% CIs will be reported, secondarily two-sided 95% CIs. The efficacy of the tailored diet will be shown if there is a significant difference regarding the first co-primary endpoint and non-inferiority regarding the second co-primary endpoint. If only one of the two hypotheses can be rejected, none of the co-primary results can be interpreted as significant.
The same analyses described for the first co-primary endpoint will be used exploratorily for the secondary endpoints. The median per weekly assessment will be calculated for the VAS.
According to the respective manuals, handling of missing values in the QoL questionnaires will be accounted for. The compliance endpoint for any week is based on counting the number of compliant days within the respective week. The separate endpoint will be set to missing if patients made entries for <70% of the days, that is, for less than 5 out of 7 days. If patients made entries for ≥70% but <100% of the days, the missing compliant days would be imputed by the average of the valid entries. If the primary and secondary endpoints are missing, multiple imputations with at least 50 imputations will be used to impute missing data. The imputation model will include group and present values (usually W0 measurement, if applicable, measurements at W4 and W8) for the first study phase. The combination will be made using Rubin’s rule. In the second study phase, if applicable, missings will only be imputed by the manuals. Otherwise, no imputation will be performed. Exploratory analyses will include the analysis of primary and secondary endpoints in subgroups of age and compliance.
Safety endpoints will be analysed as follows:
Body compositions, that is, fat mass, total body water, muscle mass, fat-free mass, body cell mass, extracellular mass and dehydration: differences between baseline and V1 and V2 using exploratory paired t-tests, respectively; between-group comparisons for each measurement time point.
BMI: intraindividual differences between baseline and V1 and V2 using exploratory paired t-tests, respectively.
AEs/SAEs: absolute and relative frequencies, no statistical testing, tables and listings according to ICH E3 guideline (https://www.ema.europa.eu/en/documents/scientific-guideline/ich-e-3-structure-content-clinical-study-reports-step-5_en.pdf, accessed 7 January 2023).
Proposed sample size calculations
For the calculation of the first co-primary endpoint, we expect the control group of patients who tested positive but in whom the result of the CLE will not be used for recommendations to improve in HRQoL to a similar extent as those patients reported in the study of van der Velde et al19 because those also were tested positive but did not receive a specific recommendation. Therefore, we expect them to improve on average from 4.56 to 4.21 points, thus by 0.35 points, with an SD of about 1 point. For patients in the tailored diet group, we expect an improvement similar to that observed in negatively tested probands in the study by van der Velde et al. This assumes that the improvement in HRQoL is mainly based on better knowledge about which food compounds to avoid, which will also be granted in our intervention. Thus, we expect an average improvement from 4.24 to 3.36 points, thus by 0.88 points, which we pessimistically set to 0.85 points. We assume that both groups show equal variability in change and that the SD is 1 point. To detect these effects using a two-sample t-test, a power of 80% and a significance level of 5%, 64 subjects per group would be required, that is, 128 patients. We assume a dropout rate of 25% because of the long period of 12 weeks for following nutritional recommendations, especially in the case of no improvement of QoL or symptoms, totalling in 172 patients, that is, 86 patients per group.
For the sample size calculation of the severity of symptoms, we used the reported values from Bojarski et al.14 Here, patients with any CLE reaction to food antigens following a gluten-free diet (GFD) had an SD of 94 for the IBS-SSS 2 months after the GFD started. However, the other group, without reacting to food allergens following the GFD, had an SD of 88. We assume a difference of IBS-SSS at W12 of 0 points between the groups and an SD of 100 points (a more conservative assumption than Bojarski et al14 and a minimal clinically relevant effect of 50 points). With a power of 80% and a one-sided significance level of 2.5%, 64 patients per group would be required in the t-test setting, that is, 128 patients. Assuming a dropout rate of 25%, 172 patients in total would be needed.
So, in this trial, 172 patients will be required to confirm both primary hypotheses. nQuery V.4.0 was used for sample size calculations.
Data collection, handling and management
Each patient will receive a study identification (ID) like CLEXXX, where XXX is a three-digit number. This study ID will label and identify all samples collected and generate the email address needed for registration in the app. The key linking the study ID to the patient’s name will be documented in a hard copy in the signed consent forms folder. These folders will be held in a locked cabinet at the Institute of Nutritional Medicine. Access to this folder will be limited to the study director, the study coordinator and the study dietitian. After the study is finished, the key linking the study ID to the patient’s name will be destroyed, and connecting the two will no longer be possible.
The results of the questionnaires, the dietary and symptom diary, and the medication intake will be documented using the Perfood Labs app and stored in the associated database. After the last patient will have completed the study, the database will be closed, and the data will be transferred to the IMBS for analysis. Therefore, the study data are exported from the data management system, stored in a read-only and edit-protected manner, and thus unchangeable. Perfood ensures that it is documented which employees were involved in this process and that only authorised employees have access to this document. The document is archived for the legally required period. To register for the Perfood Labs app, patients receive the email address (CLEXXX@the-inum.com) and the activation key. Perfood does not have access to the patient’s personal data.
For metabolome and microbiome analyses, the group at the Universities of Lübeck and Hohenheim receive the samples labelled with study ID. In addition, they also receive the following data from the patients: gender, age, CLE result and dietary intervention in the last 12 weeks. The results of the metabolome and microbiome analyses are sent directly to the study centre, where they are stored on an external hard drive in duplicate.
The data collected during the V0, V1 and V2 visits will be documented via the electronic case report form. The data transfer is done via a typical web application consisting of a front-end, backend and database. The application is hosted on network-attached storage (NAS) server. Docker containers are located on the application’s NAS running the backend and database. Access to the NAS server is only possible via a corresponding password-protected account. Via the iPad, the user (medical staff) can access the application (or the front-end) and fill out the questionnaire. The front-end is connected to the database via the backend.
To establish the connection between the iPad and the database, the iPad must have an internet connection and be logged into a corresponding NAS account, for which the appropriate rights must be enabled. The patient’s name and date of birth are not stored in the database. They are only entered on the iPad to create a pseudonym via which all visits of the corresponding patient can be found in the database. An outsider who knows the patient’s date of birth and name cannot deduce the pseudonym from this. Subsequently, the data can be extracted from the database via an NAS account with the appropriate rights. In summary, data generation, transmission, storage and analysis of health-related personal data in this study are performed strictly in compliance with the applicable legal provisions on data protection.
Patient and public involvement
The German society of the coeliac disease is a partner in INDICATE-FH and as such is involved in project planning.
Ethics and dissemination
The study protocol (version 2, 28 April 2022) was accepted by the ethical committee of the University of Lübeck (AZ: 22-111) on 4 Mai 2022. Results of our study will be published in peer-reviewed journals and presented at scientific meetings. All metadata (metabolomics and 16S rRNA sequencing data) will be shared by deposing the data in adequate, open-access depositories.
Ethics statements
Patient consent for publication
Acknowledgments
We wish to thank the following members of the INDICATE-FH Consortium for the support and helpful discussions: Florian Fricke, Herbert Schmidt and Thomas Kufer from the University of Hohenheim and Torsten Goldmann from the Research Center Borstel.
Footnotes
NH and AK contributed equally.
Contributors NH, AK, JS, GA, IK and CS conceptualised and wrote the study protocol and the manuscript. NH and IK provided statistical expertise. FS, TS, AE, LJ, UJ, SCB and MG provided their respective expertise for the design, took part in the scientific discussions and reviewed the manuscript critically. All authors approved the final version of the manuscript.
Funding The study is embedded in the large-scale project INDICATE-FH and is funded by the Federal Ministry of Education and Research (Bundesministerium für Bildung und Forschung (BMBF) (funding number: 01EA2109). The Institute of Nutritional Medicine will cover any additional costs beyond this funding.
Competing interests None declared.
Patient and public involvement Patients and/or the public were involved in the design, or conduct, or reporting, or dissemination plans of this research. Refer to the Methods section for further details.
Provenance and peer review Not commissioned; externally peer reviewed.