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Title:
Animal to human translation: a systematic scoping review of reported concordance rates | Journal of Translational Medicine
Description:
Background Drug development is currently hampered by high attrition rates; many developed treatments fail during clinical testing. Part of the attrition may be due to low animal-to-human translational success rates; so-called “translational failure”. As far as we know, no systematic overview of published translational success rates exists. Systematic scoping review The following research question was examined: “What is the observed range of the animal-to-human translational success (and failure) rates within the currently available empirical evidence?”. We searched PubMed and Embase on 16 October 2017. We included reviews and all other types of “umbrella”-studies of meta-data quantitatively comparing the translational results of studies including at least two species with one being human. We supplemented our database searches with additional strategies. All abstracts and full-text papers were screened by two independent reviewers. Our scoping review comprises 121 references, with various units of measurement: compound or intervention (k = 104), study/experiment (k = 10), and symptom or event (k = 7). Diagnostic statistics corresponded with binary and continuous definitions of successful translation. Binary definitions comprise percentages below twofold error, percentages accurately predicted, and predictive values. Quantitative definitions comprise correlation/regression (r2) and meta-analyses (percentage overlap of 95% confidence intervals). Translational success rates ranged from 0 to 100%. Conclusion The wide range of translational success rates observed in our study might indicate that translational success is unpredictable; i.e. it might be unclear upfront if the results of primary animal studies will contribute to translational knowledge. However, the risk of bias of the included studies was high, and much of the included evidence is old, while newer models have become available. Therefore, the reliability of the cumulative evidence from current papers on this topic is insufficient. Further in-depth “umbrella”-studies of translational success rates are still warranted. These are needed to evaluate the probabilistic evidence for predictivity of animal studies for the human situation more reliably, and to determine which factors affect this process.
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Keywords {🔍}
translational, studies, pubmed, animal, success, google, scholar, article, data, included, rates, cas, human, references, review, systematic, research, translation, papers, bias, search, analysis, reviews, humans, drug, results, analyses, clinical, predictive, authors, full, fig, risk, species, study, reported, models, size, scoping, evidence, values, animals, central, based, drugs, positive, observed, table, negative, information,
Topics {✒️}
drug-induced liver injury uk-owned pharmaceutical companies article download pdf merel ritskes-hoitinga & rob pre-clinical animal research full size image studies addressing pharmacokinetics de vries rbm binary success/failure rates merel ritskes-hoitinga human pharmacology—part xvi european economic area prophylactic vaccines versus absolute oral bioavailability privacy choices/manage cookies adverse drug reactions creative commons license translational success rates iq consortium nonclinical concentration–time profiles contopoulos-ioannidis bmc med ethics chemotherapeutic drug research diagnostic statistics correlation/regression included meta-analyses comprising intestinal expression levels meta-data quantitatively comparing full comprehensive search drug approval procedures ioannidis jp broadly defined definitions ward kw overestimate translational success describe translational success medical subject headings canadian research hospital full search strategy crit rev toxicol platform-switched implants subsidising educational projects quantitative definitions comprise pharmaceutical research advanced translational animal research drug metab dispos correct predictions reported largest sample size peri-implant infection peri-implant hard human translational success human translational success
Questions {❓}
- Allometric scaling of pharmacokinetic parameters in drug discovery: can human CL, Vss and t1/2 be predicted from in vivo rat data?
- Animal models in translational research: rosetta stone or stumbling block?
- Animal versus human oral drug bioavailability: do they correlate?
- Are animal models predictive for humans?
- Believe it or not: how much can we rely on published data on potential drug targets?
- Can animal data predict human outcome?
- Can animal data translate to innovations necessary for a new era of patient-centred and individualised healthcare?
- Can the pharmaceutical industry reduce attrition rates?
- Is animal research sufficiently evidence based to be a cornerstone of biomedical research?
- Is it possible to overcome issues of external validity in preclinical animal research?
- Predictive validity of animal pain models?
- The bleomycin animal model: a useful tool to investigate treatment options for idiopathic pulmonary fibrosis?
- The following research question was examined: “What is the observed range of the animal-to-human translational success (and failure) rates within the currently available empirical evidence?
- The main question was “What is the observed range of the animal-to-human translational success (and failure) rates within the currently available empirical evidence?
- The main research question for this systematic scoping review was: “What is the observed range of the animal-to-human translational success (and failure) rates within the currently available empirical evidence?
- The significance of meaning: why do over 90% of behavioral neuroscience results fail to translate to humans, and what can we do to fix it?
- What is the translational efficacy of chemotherapeutic drug research in neuro-oncology?
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datePublished:2019-07-15T00:00:00Z
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