PREDICT: a checklist for preventing preanalytical diagnostic errors in clinical trials

Abstract Although the importance of guaranteeing a high level of preanalytical quality in routine diagnostic testing has already been largely acknowledged over the past decades, minor emphasis is currently being placed on the fact that accurate performance and standardization of many preanalytical activities are also necessary prerogatives of clinical trials. Reliable evidence exists that clear indications on how to manage the different preanalytical steps are currently lacking in many clinical trials protocols, nor have detailed authoritative documents been published or endorsed on this matter to the best of our knowledge. To fill this gap, the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) Working Group for Preanalytical Phase (WG-PRE) will provide here a specific checklist for preventing preanalytical diagnostic errors in clinical trials (PREDICT), especially focused on covering the most important preanalytical aspects of blood sample management in clinical studies, and thus encompassing test selection, patient preparation, sample collection, management and storage, sample transportation, as well as specimen retrieval before testing. The WG-PRE members sincerely hope that these recommendations will provide a useful contribution for increasing the success rate in clinical trials.

[1]  Giuseppe Lippi,et al.  Managing hemolyzed samples in clinical laboratories , 2020, Critical reviews in clinical laboratory sciences.

[2]  Mario Plebani,et al.  Decision Support and Patient Safety. , 2019, Clinics in laboratory medicine.

[3]  Rui Zhou,et al.  Extra-analytical sources of uncertainty: which ones really matter? , 2019, Clinical chemistry and laboratory medicine.

[4]  Camille Bellora,et al.  Preanalytical robustness of blood collection tubes with RNA stabilizers , 2019, Clinical chemistry and laboratory medicine.

[5]  G. Lippi The Irreplaceable Value of Laboratory Diagnostics: Four Recent Tests that have Revolutionized Clinical Practice , 2019, EJIFCC.

[6]  G. Lippi,et al.  Public perception of diagnostic and laboratory errors among Internet users , 2019, Diagnosis.

[7]  A. Šimundić,et al.  Preanalytical challenges – time for solutions , 2019, Clinical chemistry and laboratory medicine.

[8]  A. Šimundić,et al.  Managing inappropriate utilization of laboratory resources , 2018, Diagnosis.

[9]  Giuseppe Lippi,et al.  The preanalytical phase in the era of high-throughput genetic testing. What the future holds , 2018, Diagnosis.

[10]  A. Šimundić,et al.  Blood sample quality , 2018, Diagnosis.

[11]  Chi Heem Wong,et al.  Estimation of clinical trial success rates and related parameters , 2018, Biostatistics.

[12]  A. Šimundić,et al.  Joint EFLM-COLABIOCLI Recommendation for venous blood sampling , 2018, Clinical chemistry and laboratory medicine.

[13]  G. Lippi,et al.  “Ultra-sensitive” cardiac troponins: Requirements for effective implementation in clinical practice , 2018, Biochemia medica.

[14]  E. Myers,et al.  Evidence-based pregnancy testing in clinical trials: Recommendations from a multi-stakeholder development process , 2018, PloS one.

[15]  David B. Fogel,et al.  Factors associated with clinical trials that fail and opportunities for improving the likelihood of success: A review , 2018, Contemporary clinical trials communications.

[16]  D. Armstrong,et al.  Do feasibility studies contribute to, or avoid, waste in research? , 2018, PloS one.

[17]  Mario Plebani,et al.  A Six-Sigma approach for comparing diagnostic errors in healthcare-where does laboratory medicine stand? , 2018, Annals of translational medicine.

[18]  A. Šimundić,et al.  Practical recommendations for managing hemolyzed samples in clinical chemistry testing , 2018, Clinical chemistry and laboratory medicine.

[19]  A. Šimundić,et al.  The EFLM strategy for harmonization of the preanalytical phase , 2017, Clinical chemistry and laboratory medicine.

[20]  A. Šimundić,et al.  Blood Glucose Determination: Effect of Tube Additives. , 2018, Advances in clinical chemistry.

[21]  P. Okunieff,et al.  Ensuring sample quality for blood biomarker studies in clinical trials: a multicenter international study for plasma and serum sample preparation. , 2017, Translational Lung Cancer Research.

[22]  G. Lippi,et al.  Potential misdiagnosis of von Willebrand disease and haemophilia caused by ineffective mixing of thawed plasma , 2017, Haemophilia : the official journal of the World Federation of Hemophilia.

[23]  W. Grody,et al.  The Case for Laboratory Developed Procedures , 2017, Academic pathology.

[24]  Patrick M M Bossuyt,et al.  Waste, Leaks, and Failures in the Biomarker Pipeline. , 2017, Clinical chemistry.

[25]  G. Lippi,et al.  Inappropriateness in laboratory medicine: an elephant in the room? , 2017, Annals of translational medicine.

[26]  A. E. Schultze,et al.  Recognizing and Reducing Analytical Errors and Sources of Variation in Clinical Pathology Data in Safety Assessment Studies , 2017, Toxicologic pathology.

[27]  M. Kuschnir,et al.  Desafios para a coleta de sangue e análise bioquímica em um grande estudo multicêntrico realizado em escolas com adolescentes: lições do ERICA no Brasil , 2017 .

[28]  Paul C Guest,et al.  Blood Bio-Sampling Procedures for Multiplex Biomarkers Studies. , 2017, Methods in molecular biology.

[29]  Bo Wang,et al.  Failure of Investigational Drugs in Late-Stage Clinical Development and Publication of Trial Results. , 2016, JAMA internal medicine.

[30]  Tim Shi,et al.  A Biospecimen Proficiency Testing Program for Biobank Accreditation: Four Years of Experience. , 2016, Biopreservation and biobanking.

[31]  Standardizing in vitro diagnostics tasks in clinical trials: a call for action. , 2016, Annals of translational medicine.

[32]  G. Lippi,et al.  The impact of preanalytical variability in clinical trials: are we underestimating the issue? , 2016, Annals of translational medicine.

[33]  A. von Meyer Betreff Cadamuro et al.: In-vitro hemolysis and its financial impact using different blood collection systems , 2016 .

[34]  Jim Vaught,et al.  Preanalytical variables affecting the integrity of human biospecimens in biobanking. , 2015, Clinical chemistry.

[35]  D. Morrow,et al.  Preanalytical considerations in the design of clinical trials and epidemiological studies. , 2015, Clinical chemistry.

[36]  BetsouFay Biospecimen Processing Method Validation , 2015 .

[37]  J. Robb,et al.  A Call to Standardize Preanalytic Data Elements for Biospecimens, Part II. , 2015, Archives of pathology & laboratory medicine.

[38]  G. Fiedler,et al.  In-vitro hemolysis and its financial impact using different blood collection systems , 2015 .

[39]  F. Betsou Biospecimen processing method validation. , 2015, Biopreservation and biobanking.

[40]  G. Lippi,et al.  The biomarker paradigm: between diagnostic efficiency and clinical efficacy. , 2015, Polskie Archiwum Medycyny Wewnetrznej.

[41]  Tim Peakman,et al.  Critical issues in international biobanking. , 2014, Clinical chemistry.

[42]  J. Cummings,et al.  Alzheimer’s disease drug-development pipeline: few candidates, frequent failures , 2014, Alzheimer's Research & Therapy.

[43]  G Lippi,et al.  Standardization of collection requirements for fasting samples: for the Working Group on Preanalytical Phase (WG-PA) of the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM). , 2014, Clinica chimica acta; international journal of clinical chemistry.

[44]  Rajesh C. Dash,et al.  A call to standardize preanalytic data elements for biospecimens. , 2014, Archives of pathology & laboratory medicine.

[45]  G. Lippi,et al.  Prevalence and cost of hemolyzed samples in a large urban emergency department , 2014, International journal of laboratory hematology.

[46]  Frederick L Kiechle,et al.  Establishing benchmarks and metrics for disruptive technologies, inappropriate and obsolete tests in the clinical laboratory , 2013, Clinica Chimica Acta.

[47]  Practical Guidance for Implementing Predictive Biomarkers into Early Phase Clinical Studies , 2013, BioMed research international.

[48]  Tony Badrick Evidence-based laboratory medicine. , 2013, The Clinical biochemist. Reviews.

[49]  Umberto Nanni,et al.  Standard preanalytical coding for biospecimens: review and implementation of the Sample PREanalytical Code (SPREC). , 2012, Biopreservation and biobanking.

[50]  A. Šimundić,et al.  Preanalytical phase – a continuous challenge for laboratory professionals , 2012, Biochemia medica.

[51]  Heping Zhang,et al.  Proactively Establishing a Biologic Specimens Repository for Large Clinical Trials: An Idea Whose Time has Come , 2011, Systems biology in reproductive medicine.

[52]  G. Lippi,et al.  Human chorionic gonadotropin in pregnancy diagnostics. , 2011, Clinica chimica acta; international journal of clinical chemistry.

[53]  Helen M. Moore,et al.  Biospecimen Reporting for Improved Study Quality. , 2011, Biopreservation and biobanking.

[54]  L. van Damme,et al.  Obtaining Valid Laboratory Data in Clinical Trials Conducted in Resource Diverse Settings: Lessons Learned from a Microbicide Phase III Clinical Trial , 2010, PloS one.

[55]  Mary F. Wisniewski,et al.  Diagnostic error in medicine: analysis of 583 physician-reported errors. , 2009, Archives of internal medicine.

[56]  William E Grizzle,et al.  Standard operating procedures for serum and plasma collection: early detection research network consensus statement standard operating procedure integration working group. , 2009, Journal of proteome research.

[57]  Richard Simon,et al.  Lost in translation: problems and pitfalls in translating laboratory observations to clinical utility. , 2008, European journal of cancer.

[58]  J. Darden,et al.  Guidelines on good clinical laboratory practice: bridging operations between research and clinical research laboratories. , 2008, Journal of pharmaceutical and biomedical analysis.

[59]  G. Lippi,et al.  The paradox in translational medicine. , 2007, Clinical chemistry.

[60]  G. Lippi,et al.  One hundred years of laboratory testing and patient safety , 2007, Clinical chemistry and laboratory medicine.