European Clinical Research Infrastructure Network

As the pandemic of coronavirus disease 2019 (COVID-19) spreads, new data emerge and understanding of the disease improves. 2] The first case in Spain was declared on January 31, 2020, and the first case in the Madrid region was declared on February 27, 2020.

Abstract Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1‐km 2 resolution for 0–5 and 5–15 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1‐km 2 pixels (summarized from 8519 unique temperature sensors) across all the world's major terrestrial biomes, and coarse‐grained air temperature estimates from ERA5‐Land (an atmospheric reanalysis by the European Centre for Medium‐Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10°C (mean = 3.0 ± 2.1°C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 ± 2.3°C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (−0.7 ± 2.3°C). The observed substantial and biome‐specific offsets emphasize that the projected impacts of climate and climate change on near‐surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil‐related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications.

Six-hundred-seven employees in 3 metal industry plants were studied for depressive and distress symptoms, musculoskeletal symptoms, and findings in the musculo-skeletal system made by a physiotherapist. Measurements were made 3 times at 5-year intervals. The mean distress and depressive symptom scores of the first 2 examinations predicted the change in several musculo-skeletal symptom measures during the second 5-year period, when the effects of age and occupational class were accounted for in multiple regression analysis. They also predicted the development in clinical musculoskeletal findings in men. The proportions of variance explained by the depressive and distress symptoms were modest in magnitude. Analogous analyses were made with reference to the reverse temporal sequence: musculoskeletal disorders were considered as predating the development in depressive and distress symptoms. The musculoskeletal symptom scores were associated with the change in the stress symptoms in men, as did the clinical findings in the neck-shoulder and low back regions. None of the musculoskeletal morbidity scores predicted the change in the depressive symptoms in either sex. We conclude that depressive symptoms predict future musculoskeletal disorders, but not vice versa, whereas the association of stress symptoms and musculoskeletal disorders is reciprocal.

Mental and brain disorders represent the greatest health burden to Europe-not only for directly affected individuals, but also for their caregivers and the wider society. They incur substantial economic costs through direct (and indirect) health-care and welfare spending, and via productivity losses, all of which substantially affect European development. Funding for research to mitigate these effects lags far behind the cost of mental and brain disorders to society. Here, we describe a comprehensive, coordinated mental health research agenda for Europe and worldwide. This agenda was based on systematic reviews of published work and consensus decision making by multidisciplinary scientific experts and affected stakeholders (more than 1000 in total): individuals with mental health problems and their families, health-care workers, policy makers, and funders. We generated six priorities that will, over the next 5-10 years, help to close the biggest gaps in mental health research in Europe, and in turn overcome the substantial challenges caused by mental disorders.

OBJECTIVES: We examined major issues associated with sharing of individual clinical trial data and developed a consensus document on providing access to individual participant data from clinical trials, using a broad interdisciplinary approach. DESIGN AND METHODS: This was a consensus-building process among the members of a multistakeholder task force, involving a wide range of experts (researchers, patient representatives, methodologists, information technology experts, and representatives from funders, infrastructures and standards development organisations). An independent facilitator supported the process using the nominal group technique. The consensus was reached in a series of three workshops held over 1 year, supported by exchange of documents and teleconferences within focused subgroups when needed. This work was set within the Horizon 2020-funded project CORBEL (Coordinated Research Infrastructures Building Enduring Life-science Services) and coordinated by the European Clinical Research Infrastructure Network. Thus, the focus was on non-commercial trials and the perspective mainly European. OUTCOME: We developed principles and practical recommendations on how to share data from clinical trials. RESULTS: The task force reached consensus on 10 principles and 50 recommendations, representing the fundamental requirements of any framework used for the sharing of clinical trials data. The document covers the following main areas: making data sharing a reality (eg, cultural change, academic incentives, funding), consent for data sharing, protection of trial participants (eg, de-identification), data standards, rights, types and management of access (eg, data request and access models), data management and repositories, discoverability, and metadata. CONCLUSIONS: The adoption of the recommendations in this document would help to promote and support data sharing and reuse among researchers, adequately inform trial participants and protect their rights, and provide effective and efficient systems for preparing, storing and accessing data. The recommendations now need to be implemented and tested in practice. Further work needs to be done to integrate these proposals with those from other geographical areas and other academic domains.

Abstract Financial statement analysis has been used to assess a company’s likelihood of financial distress – the probability that it will not be able to repay its debts. Financial statement analysis was used by credit suppliers to assess the credit worthiness of its borrowers. Today, financial statement analysis is ubiquitous and involves a wide variety of ratios and a wide variety of users, including trade suppliers, banks, creditrating agencies, investors and management, among others. Financial distress refers to the inability of a company to pay its financial obligations as they mature. Empirically, academic research in accounting and finance has focused on either bond default or bankruptcy. The basic issue is whether the probability of distress varies in a significant manner conditional upon the magnitude of the financial statement ratios. This monograph discusses the evolution of three main streams within the financial distress prediction literature: The set of dependent and explanatory variables used, the statistical methods of estimation, and the modeling of financial distress. For over 100 years, financial statement analysis has been used to assess a company’s likelihood of financial distress – the probability that it will not be able to repay its debts. Financial statement analysis was used by credit suppliers to assess the credit worthiness of its borrowers. In many cases, there was little alternative, reliable information, other than the general reputation of the borrower. A major force for the audit of financial statements arose from the demand to help ensure more reliable financial statements. For example, major users were trade suppliers allowing companies to purchase inventory on credit until the goods could be resold. For these users, there was an emphasis on shortterm ability to repay, given the focus on ability to repay over the period of inventory turnover (typically a matter of 30-60 days). In this context, the current ratio (the ratio of current assets to current liabilities) was one of the first and most prominent ratios used.1 Today, financial statement analysis is ubiquitous and involves a wide variety of ratios and a wide variety of users, including trade suppliers, banks, credit-rating agencies, investors and management, among others. Moreover, financial statements are only one among many sources of information about a company. Financial distress refers to the inability of a company to pay its financial obligations as they mature. Empirically, academic research in accounting and finance has focused on either bond default or bankruptcy. The basic issue is whether the probability of distress varies in a significant manner conditional upon the magnitude of the financial statement ratios. This monograph discusses the evolution of three main streams within the financial distress prediction literature: the set of dependent and explanatory variables used, the statistical methods of estimation, and the modeling of financial distress. The outline of the monograph is as follows: Section 1 discusses concepts of financial distress. Section 2 discusses theories regarding the use of financial ratios as predictors of financial distress. Section 3contains a brief review of the literature. Section 4 discusses the use of market price-based models of financial distress. Section 5 develops the statistical methods for empirical estimation of the probability of financial distress. Section 6 discusses the major empirical findings with respect to prediction of financial distress. Section 7 briefly summarizes some of the more relevant literature with respect to bond ratings.Section 8 presents some suggestions for future research, and Section 9 presents concluding remarks.

BACKGROUND: Randomised clinical trials are key to advancing medical knowledge and to enhancing patient care, but major barriers to their conduct exist. The present paper presents some of these barriers. METHODS: We performed systematic literature searches and internal European Clinical Research Infrastructure Network (ECRIN) communications during face-to-face meetings and telephone conferences from 2013 to 2017 within the context of the ECRIN Integrating Activity (ECRIN-IA) project. RESULTS: The following barriers to randomised clinical trials were identified: inadequate knowledge of clinical research and trial methodology; lack of funding; excessive monitoring; restrictive privacy law and lack of transparency; complex regulatory requirements; and inadequate infrastructures. There is a need for more pragmatic randomised clinical trials conducted with low risks of systematic and random errors, and multinational cooperation is essential. CONCLUSIONS: The present paper presents major barriers to randomised clinical trials. It also underlines the value of using a pan-European-distributed infrastructure to help investigators overcome barriers for multi-country trials in any disease area.

BACKGROUND: The optimal management of patients with resectable gastric cancer continues to evolve in Western countries. Following publication of the US Intergroup 0116 and UK Medical Research Council MAGIC trials, there are now two standards of care for adjuvant therapy in resectable gastric cancer, at least in the Western world: postoperative chemoradiotherapy and perioperative epirubicin/cisplatin/fluorouracil (ECF) chemotherapy. We hypothesize that adding chemoradiation to standard perioperative ECF chemotherapy will achieve further survival gains. We also believe there are advantages to administering chemoradiation in the preoperative rather than postoperative setting. In this article, we describe the TOPGEAR trial, which is a randomised phase III trial comparing control arm therapy of perioperative ECF chemotherapy with experimental arm therapy of preoperative chemoradiation plus perioperative ECF chemotherapy. METHODS/DESIGN: Eligible patients with resectable adenocarcinoma of the stomach or gastroesophageal junction will be randomized to receive either perioperative chemotherapy alone (3 preoperative and 3 postoperative cycles of ECF) or perioperative chemotherapy plus preoperative chemoradiation. In the chemoradiation arm, patients receive 2 cycles of ECF plus chemoradiation prior to surgery, and then following surgery 3 further cycles of ECF are given. The trial is being conducted in two Parts; Part 1 (phase II component) has recruited 120 patients with the aim of assessing feasibility, safety and preliminary efficacy of preoperative chemoradiation. Part 2 (phase III component) will recruit a further 632 patients to provide a total sample size of 752 patients. The primary endpoint of the phase III trial is overall survival. The trial includes quality of life and biological substudies, as well as a health economic evaluation. In addition, the trial incorporates a rigorous quality assurance program that includes real time central review of radiotherapy plans and central review of surgical technique. DISCUSSION: TOPGEAR is an international, intergroup collaboration led by the Australasian Gastro-Intestinal Trials Group (AGITG), in collaboration with the Trans-Tasman Radiation Oncology Group (TROG), European Organisation for Research and Treatment of Cancer (EORTC) and the NCIC Clinical Trials Group. It addresses a globally significant question that will help inform future international standards for clinical practice in resectable gastric cancer. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry: ACTRN12609000035224 . Registered 30 May 2009.

Despite the high impact of mental disorders in society, European mental health research is at a critical situation with a relatively low level of funding, and few advances been achieved during the last decade. The development of coordinated research policies and integrated research networks in mental health is lagging behind other disciplines in Europe, resulting in lower degree of cooperation and scientific impact. To reduce more efficiently the burden of mental disorders in Europe, a concerted new research agenda is necessary. The ROAMER (Roadmap for Mental Health Research in Europe) project, funded under the European Commission's Seventh Framework Programme, aims to develop a comprehensive and integrated mental health research agenda within the perspective of the European Union (EU) Horizon 2020 programme, with a translational goal, covering basic, clinical and public health research. ROAMER covers six major domains: infrastructures and capacity building, biomedicine, psychological research and treatments, social and economic issues, public health and well-being. Within each of them, state-of-the-art and strength, weakness and gap analyses were conducted before building consensus on future research priorities. The process is inclusive and participatory, incorporating a wide diversity of European expert researchers as well as the views of service users, carers, professionals and policy and funding institutions.

A first episode of acquired demyelinating disorder (ADS) in children is a diagnostic challenge as different diseases can express similar clinical features. Recently, antibodies against myelin oligodendrocyte glycoprotein (MOG) have emerged as a new ADS biomarker, which clearly allow the identification of monophasic and relapsing ADS forms different from MS predominantly in children. Due to the novelty of this antibody there are still challenges and controversies about its pathogenicity and best technique to detect it. In this manuscript we will discuss the recommendations and caveats on MOG antibody assays, role in the pathogenesis, and additionally discuss the usefulness of other potential new biomarkers in MOG-antibody associated disorders (MOGAD).

BACKGROUND: Normothymic states in bipolar disorders are generally considered to be devoid of severe symptoms. However, bipolar patients present subsyndromal symptoms for half of their lives, and often have comorbid psychiatric disorders. If we go beyond the concept of temperamental features, can we identify certain emotional characteristics distinguishing normothymic bipolar patients from normal controls? We previously showed, using self-completed questionnaires, that normothymic bipolar patients display higher levels of emotional lability and intensity than controls. OBJECTIVES: The aim of this study was to assess the emotional reactivity of normothymic bipolar patients, comparing such patients with a normal control group during an experimental mood induction procedure. METHOD: We evaluated the subjective emotional reactivity of 145 subjects (90 control subjects and 55 normothymic bipolar patients), using an emotional induction method based on the viewing of a set of 18 pictures (6 positive, 6 negative, 6 neutral) extracted from the International Affective Picture System. Subjective valence and arousal were recorded with the Self-Assessment Manikin. We also recorded startle reflexes, triggered by a tone occurring during the viewing of two-thirds of the pictures. We controlled for confounding factors, such as concurrent treatments, in all analyses. RESULTS: Normothymic bipolar patients and normal controls assessed valence and arousal similarly for positive and negative images. However, neutral images were considered more pleasant [F(1,143) = 8.4; p = 0.004] and induced a higher level of arousal [F(1,143) = 12.3; p = 0.001] in normothymic bipolar patients than in control subjects. Neutral pictures also triggered a stronger startle reflex in normothymic bipolar patients compared to controls [F(3,123) = 3.1; p = 0.03]. CONCLUSION: Normothymic bipolar patients displayed emotional hyper-reactivity, mostly evidenced in neutral situations. This feature may be linked to emotional dysregulation and is a potential endophenotype and/or a risk factor for bipolar disorders. This trait may be responsible for vulnerability to minor stressful events in everyday life. These findings have potential implications for the daily management of bipolar disorder between crises.

In this study, biologically synthesized iron oxide nanoparticles, called magnetosomes, are made fully biocompatible by removing potentially toxic organic bacterial residues such as endotoxins at magnetosome mineral core surfaces and by coating such surface with poly-L-lysine, leading to magnetosomes-poly-L-lysine (M-PLL). M-PLL antitumor efficacy is compared with that of chemically synthesized iron oxide nanoparticles (IONPs) currently used for magnetic hyperthermia. M-PLL and IONPs are tested for the treatment of glioblastoma, a dreadful cancer, in which intratumor nanoparticle administration is clinically relevant, using a mouse allograft model of murine glioma (GL-261 cell line). A magnetic hyperthermia treatment protocol is proposed, in which nanoparticles yielding an amount of 25 of iron per mm 3 of tumor are administered and exposed to 11 to 15 magnetic sessions during which an alternating magnetic field of 198 kHz and 11 to 31 mT is applied for 30 minutes to attempt reaching temperatures of 43-46 C. M-PLL are characterized by a larger specific absorption rate (SAR of 40 W/g Fe compared to 26 W/g Fe for IONPs as measured during the first magnetic session), a lower strength of the applied magnetic field required for reaching a target temperature of 43-46 C (11 to 27 mT compared with 22 to 31 mT for IONPs), a lower number of mice re-administered (4 compared to 6 for IONPs), a longer residence time within tumours (5 days compared to 1 day for IONPs), and a less scattered distribution in the tumour. M-PLL lead to higher antitumor efficacy with full tumor disappearances achieved in 50% of mice compared to 20% for IONPs. This is ascribed to better ability of M-PLL, at equal iron concentrations, to maintain tumor temperatures at 43-46C over a longer period of times.

Abstract SARS-CoV-2, the causative agent of COVID-19 1 , features a receptor-binding domain (RBD) for binding to the host cell ACE2 protein 1–6 . Neutralizing antibodies that block RBD-ACE2 interaction are candidates for the development of targeted therapeutics 7–17 . Llama-derived single-domain antibodies (nanobodies, ~15 kDa) offer advantages in bioavailability, amenability, and production and storage owing to their small sizes and high stability. Here, we report the rapid selection of 99 synthetic nanobodies (sybodies) against RBD by in vitro selection using three libraries. The best sybody, MR3 binds to RBD with high affinity ( K D = 1.0 nM) and displays high neutralization activity against SARS-CoV-2 pseudoviruses (IC 50 = 0.42 μg mL −1 ). Structural, biochemical, and biological characterization suggests a common neutralizing mechanism, in which the RBD-ACE2 interaction is competitively inhibited by sybodies. Various forms of sybodies with improved potency have been generated by structure-based design, biparatopic construction, and divalent engineering. Two divalent forms of MR3 protect hamsters from clinical signs after live virus challenge and a single dose of the Fc-fusion construct of MR3 reduces viral RNA load by 6 Log 10 . Our results pave the way for the development of therapeutic nanobodies against COVID-19 and present a strategy for rapid development of targeted medical interventions during an outbreak.

Knowledge on the mechanisms of acid and base secretion in airways has progressed recently. The aim of this review is to summarize the known mechanisms of airway surface liquid (ASL) pH regulation and their implication in lung diseases. Normal ASL is slightly acidic relative to the interstitium, and defects in ASL pH regulation are associated with various respiratory diseases, such as cystic fibrosis. Basolateral bicarbonate (HCO3−) entry occurs via the electrogenic, coupled transport of sodium (Na+) and HCO3−, and, together with carbonic anhydrase enzymatic activity, provides HCO3− for apical secretion. The latter mainly involves CFTR, the apical chloride/bicarbonate exchanger pendrin and paracellular transport. Proton (H+) secretion into ASL is crucial to maintain its relative acidity compared to the blood. This is enabled by H+ apical secretion, mainly involving H+/K+ ATPase and vacuolar H+-ATPase that carry H+ against the electrochemical potential gradient. Paracellular HCO3− transport, the direction of which depends on the ASL pH value, acts as an ASL protective buffering mechanism. How the transepithelial transport of H+ and HCO3− is coordinated to tightly regulate ASL pH remains poorly understood, and should be the focus of new studies.

BACKGROUND: Medical devices play an important role in the diagnosis, prevention, treatment and care of diseases. However, compared to pharmaceuticals, there is no rigorous formal regulation for demonstration of benefits and exclusion of harms to patients. The medical device industry argues that the classical evidence hierarchy cannot be applied for medical devices, as randomised clinical trials are impossible to perform. This article aims to identify the barriers for randomised clinical trials on medical devices. METHODS: Systematic literature searches without meta-analysis and internal European Clinical Research Infrastructure Network (ECRIN) communications taking place during face-to-face meetings and telephone conferences from 2013 to 2017 within the context of the ECRIN Integrating Activity (ECRIN-IA) project. RESULTS: In addition to the barriers that exist for all trials, we identified three major barriers for randomised clinical trials on medical devices, namely: (1) randomisation, including timing of assessment, acceptability, blinding, choice of the comparator group and considerations on the learning curve; (2) difficulties in determining appropriate outcomes; and (3) the lack of scientific advice, regulations and transparency. CONCLUSIONS: The present review offers potential solutions to break down the barriers identified, and argues for applying the randomised clinical trial design when assessing the benefits and harms of medical devices.

Zaleplon, a new pyrazolopyrimidine hypnotic, possesses an unusually short elimination half-life (ca 1 h). This study was conducted to determine whether middle-of-the-night administration of zaleplon affects memory or driving performance the following morning. Twenty-eight healthy volunteers participated in a double-blind, 7-way, crossover study. They ingested capsules twice on each treatment night; once before initiating sleep and again after being briefly awakened 5 h later. Treatments were: placebo at both times, zaleplon 10 or 20 mg, or zopiclone 7·5 mg followed by placebo, or the same in reverse order. Subjects arose 3 h after the second dose. One hour later, sleep quality and mood were assessed by questionnaires and balance and memory in a test battery. A standardized actual driving test was undertaken between 5 and 6 h after the second dose. All drugs similarly improved sleep quality, but only zopiclone hindered awakening. Evening zaleplon doses were without significant effects. Late-night zaleplon had minor effects in one memory test. Evening zopiclone shared these effects and also significantly impaired driving performance. Late-night zopiclone's effects were significant in every test. Its effects on driving were severe. The results suggest that zaleplon 10 mg certainly, and 20 mg probably, can be taken at bedtime or later in the night, up to 5 h before driving with little risk of serious impairment. © 1998 John Wiley & Sons, Ltd.

BACKGROUND: Cervical cancer (CC) remains a leading cause of gynaecological cancer-related mortality with infection by human papilloma virus (HPV) being the most important risk factor. We analysed the association between different viral integration signatures, clinical parameters and outcome in pre-treated CCs. METHODS: Different integration signatures were identified using HPV double capture followed by next-generation sequencing (NGS) in 272 CC patients from the BioRAIDs study [NCT02428842]. Correlations between HPV integration signatures and clinical, biological and molecular features were assessed. RESULTS: Episomal HPV was much less frequent in CC as compared to anal carcinoma (p < 0.0001). We identified >300 different HPV-chromosomal junctions (inter- or intra-genic). The most frequent integration site in CC was in MACROD2 gene followed by MIPOL1/TTC6 and TP63. HPV integration signatures were not associated with histological subtype, FIGO staging, treatment or PFS. HPVs were more frequently episomal in PIK3CA mutated tumours (p = 0.023). Viral integration type was dependent on HPV genotype (p < 0.0001); HPV18 and HPV45 being always integrated. High HPV copy number was associated with longer PFS (p = 0.011). CONCLUSIONS: This is to our knowledge the first study assessing the prognostic value of HPV integration in a prospectively annotated CC cohort, which detects a hotspot of HPV integration at MACROD2; involved in impaired PARP1 activity and chromosome instability.

BACKGROUND: Evidence-based clinical practice is challenging in all fields, but poses special barriers in the field of rare diseases. The present paper summarises the main barriers faced by clinical research in rare diseases, and highlights opportunities for improvement. METHODS: Systematic literature searches without meta-analyses and internal European Clinical Research Infrastructure Network (ECRIN) communications during face-to-face meetings and telephone conferences from 2013 to 2017 within the context of the ECRIN Integrating Activity (ECRIN-IA) project. RESULTS: Barriers specific to rare diseases comprise the difficulty to recruit participants because of rarity, scattering of patients, limited knowledge on natural history of diseases, difficulties to achieve accurate diagnosis and identify patients in health information systems, and difficulties choosing clinically relevant outcomes. CONCLUSIONS: Evidence-based clinical practice for rare diseases should start by collecting clinical data in databases and registries; defining measurable patient-centred outcomes; and selecting appropriate study designs adapted to small study populations. Rare diseases constitute one of the most paradigmatic fields in which multi-stakeholder engagement, especially from patients, is needed for success. Clinical research infrastructures and expertise networks offer opportunities for establishing evidence-based clinical practice within rare diseases.

Children and young people are seen as fundamental to the design and delivery of clinical research as active and reflective participants. In Europe, involvement of children and young people in clinical research is promoted extensively in order to engage young people in research as partners and to give them a voice to raise their own issues or opinions and for their involvement in planning and decision making in addition to learning research skills. Children and young people can be trained in clinical research through participation in young person advisory groups (YPAGs). Members of YPAGs assist other children and young people to learn about clinical research and share their experience and point of view with researchers, thereby possibly influencing all phases of research including the development and prioritization of research questions, design and methods, recruitment plans, and strategies for results dissemination. In the long term, the expansion of YPAGs in Europe will serve as a driving force for refining pediatric clinical research. It will help in a better definition of research projects according to the patients' needs. Furthermore, direct engagement of children and young people in research will be favorable to both researchers and young people.

OBJECTIVE: To review biomarker discovery studies using omics data for patient stratification which led to clinically validated FDA-cleared tests or laboratory developed tests, in order to identify common characteristics and derive recommendations for future biomarker projects. DESIGN: Scoping review. METHODS: We searched PubMed, EMBASE and Web of Science to obtain a comprehensive list of articles from the biomedical literature published between January 2000 and July 2021, describing clinically validated biomarker signatures for patient stratification, derived using statistical learning approaches. All documents were screened to retain only peer-reviewed research articles, review articles or opinion articles, covering supervised and unsupervised machine learning applications for omics-based patient stratification. Two reviewers independently confirmed the eligibility. Disagreements were solved by consensus. We focused the final analysis on omics-based biomarkers which achieved the highest level of validation, that is, clinical approval of the developed molecular signature as a laboratory developed test or FDA approved tests. RESULTS: Overall, 352 articles fulfilled the eligibility criteria. The analysis of validated biomarker signatures identified multiple common methodological and practical features that may explain the successful test development and guide future biomarker projects. These include study design choices to ensure sufficient statistical power for model building and external testing, suitable combinations of non-targeted and targeted measurement technologies, the integration of prior biological knowledge, strict filtering and inclusion/exclusion criteria, and the adequacy of statistical and machine learning methods for discovery and validation. CONCLUSIONS: While most clinically validated biomarker models derived from omics data have been developed for personalised oncology, first applications for non-cancer diseases show the potential of multivariate omics biomarker design for other complex disorders. Distinctive characteristics of prior success stories, such as early filtering and robust discovery approaches, continuous improvements in assay design and experimental measurement technology, and rigorous multicohort validation approaches, enable the derivation of specific recommendations for future studies.