Limitations of Animal Studies for Predicting Toxicity in Clinical Trials
Open accessAbstract
Animal testing is used in pharmaceutical and industrial research to predict human toxicity, and yet analysis suggests that animal models are poor predictors of drug safety in humans. The cost of animal research is high-in dollars, delays in drug approval, and in the loss of potentially beneficial drugs for human use. Human subjects have been harmed in the clinical testing of drugs that were deemed safe by animal studies. Increasingly, investigators are questioning the scientific merit of animal research. This review discusses issues in using animals to predict human toxicity in pharmaceutical development. Part 1 focuses on scientific concerns over the validity of animal research. Part 2 will discuss alternatives to animal research and their validation and use in production of human pharmaceuticals.
AI snapshot
Written from the paper’s full text.
TL;DR
This review argues that animal toxicity testing is a poor predictor of human drug safety, citing low animal-human concordance, high clinical trial failure rates, and cases of severe human harm after animal tests deemed drugs safe. It concludes that animal testing should be abandoned or significantly curtailed in favor of more reliable alternatives, with alternatives to be discussed in Part 2.
Key findings
- Concordance between animal and human results is low: a 2006 review of 76 animal studies found ~20% were contradicted in humans and only 37% were ever replicated in humans; a review of 221 animal experiments found agreement with human studies just 50% of the time. In 37 chemicals from the U.S. National Toxicology Program, average positive predictive value from mouse to rat was 55.3% for long-term and 44.8% for short-term studies, hovering around 50%—no greater than random chance.
- Drug development failure rates raise doubts about animal predictivity: about 12% of pharmaceuticals pass preclinical testing to enter clinical trials, only 60% of those complete phase I, and approximately 89% of novel drugs fail human clinical trials, with about one-half of those failures due to unanticipated human toxicity. An analysis of 2,366 drugs concluded animal tests are highly inconsistent predictors of human toxic responses and “little better than what would result merely by chance—or tossing a coin.”
- Post-approval toxicity is common: of 578 discontinued and withdrawn drugs in Europe and the United States, almost one-half were withdrawn or discontinued in post-approval actions due to toxicity; of 93 post-marketing serious adverse outcomes, only 19% were identified in preclinical animal studies. The most common toxicity types associated with U.S. and European drug withdrawals are hepatic (21%), cardiovascular (16%), hematological (11%), neurological (9%), and carcinogenicity (8%).
- Costs and delays are substantial: rodent testing in cancer therapeutics adds an estimated 4 to 5 years and $2 to $4 million; registering a single pesticide takes about 10 years and $3 million in required animal studies; animal tests range from 1.5× to >30× as expensive as in vitro testing. A single 2-generation reproductive animal toxicity study averages €318,295 worldwide and €285,842 in Europe (roughly $349,890 and $314,215).
Methods
- Design: narrative review focused on scientific concerns over the validity of animal research for predicting human toxicity in pharmaceutical development; Part 2 is stated to discuss alternatives.
- Data: published analyses and reviews of animal-to-human toxicity concordance, drug failure and withdrawal statistics, regulatory and historical examples, and cost estimates; no new primary data are collected.
- Analysis: narrative synthesis, including use of positive predictive value, negative predictive value, and likelihood ratios to assess the evidentiary value of animal toxicity tests for human outcomes.
Limitations
- Stated in the paper: no comprehensive reviews of the total overall cost of animal testing in pharmaceutical development appear to exist; even the total number of animals or studies is unknown. The paper also states that a comprehensive study of the accuracy, likelihood ratios, and costs of alternative testing methods compared with animal toxicity testing has not been published, and that the prevalence of human toxicity is unknown once a drug tests positive in animals.
- Stated in the paper: in some analyses, likelihood ratios could not be determined due to a lack of specificity reporting on the tests.
- Evident from the text: this is a narrative review rather than a systematic review, it presents no new primary data, and it includes selected historical and contemporary examples; the second part on alternatives is not included in this paper.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
23 of 67 cited sources checked · 3 supported · 1 flagged · accuracy not yet measured
- Premisecitation
The most common toxicity types associated with drug withdrawals in the United States and Europe are hepatic (21%), cardiovascular (16%), hematological (11%), neurological (9%), and carcinogenicity (8%).
“The most common toxicity types associated with drug withdrawals in the United States and Europe are hepatic (21%), cardiovascular (16%), hematological (11%), neurological (9%), and carcinogenicity (8%) (Figure 2) (20).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [20] Siramshetty B.V. Nickel J. Omieczynski C. WITHDRAWN—a resource for withdrawn and discontinued drugs Nucl Acids Res 44 2016 D1080 D1086 26553801 PMC4702851 source
The Materials and Methods section (‘Toxicity types’; page unavailable) classifies withdrawn drugs using all five named toxicity types. The Introduction says most drugs were reported withdrawn in the United States and European countries. Our copy does not give the claimed percentages or establish that these are the five most common types in those regions. (LLM, conf=0.85)
Experimental — accuracy not yet measured
- Premisecitation
Of those, only 60% successfully complete phase I trials.
“Of those, only 60% successfully complete phase I trials (16).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [16] Van Norman G.A. Drugs, devices and the FDA: part 1: an overview of approval processes for drugs J Am Coll Cardiol Basic Trans Science 1 2016 170 179 PMC6113160 30167510 source
The ‘Phase I trials’ section describes the purpose and size of these trials but gives no completion rate. I searched the indexed copy for ‘60%’ and Phase I success rates; the Figure 1 caption discusses failure rates generally but does not state that 60% complete Phase I. No page numbers were available for these passages. (LLM, conf=0.73)
Experimental — accuracy not yet measured
- Premisecitation
In the first decade of the 21st century, approximately one-third of FDA-approved drugs were subsequently cited for safety or toxicity issues after remaining on the market for a median of 4.2 years.
“In the first decade of the 21st century, approximately one-third of FDA-approved drugs were subsequently cited for safety or toxicity issues. or a combination of both, including human cardiovascular toxicity and brain damage, after remaining on the market for a median of 4.2 years (22,23).”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [22] Lupkin S. One-Third of New Drugs Had Safety Problems After FDA Approval. NPR: Shots: Health News From NPR Available at: https://www.npr.org/sections/health-shots/2017/05/09/527575055/one-third-of-new-drugs-had-safety-problems-after-fda-approval May 9, 2017
- cites [23] Downing N.S. Shah N.D. Aminawung J.A. Postmarket safety events among novel therapeutics approved by the US Food and Drug Administration between 2001 and 2010 JAMA 317 2017 1854 1863 28492899 PMC5815036 source
The Results report that 71 of 222 novel therapeutics approved from 2001 through 2010 (32.0%) had a postmarket safety event. The 4.2-year median is the time from approval to the first event among affected therapeutics, not the median time that all approved drugs remained on the market; the paper reports 11.7 years of median market availability overall. Its Results describe cardiovascular safety concerns, but do not identify the cited events as “brain damage.” (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Premisecitation
Review of 37 chemicals in the U.S. National Toxicology Program concluded that toxicities other than carcinogenesis were not reproducible between rats and mice, between sexes, or compared with historic control animals.
“Review of 37 chemicals studied in the U.S. National Toxicology Program concluded that toxicities other than carcinogenesis were not reproducible between rats and mice, between sexes, or compared with historic control animals.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [12] Wang B. Gray G. Concordance of noncarcinogenic endpoints in rodent chemical bioassays Risk Anal 35 2015 1154 1166 25545328 source
The clinical-trials section discusses animal safety studies and single-dose toxicity trials, but not a review of 37 National Toxicology Program chemicals. Searches for that review and for reproducibility across rats, mice, sexes, and historic controls found no passage addressing the claim. (LLM, conf=0.75)
Experimental — accuracy not yet measured
- Premisecitation
Isuprel for treatment of asthma caused over 3,500 deaths in Great Britain alone, despite safety in rats, guinea pigs, dog, and monkeys at doses far exceeding those administered in humans.
“Isuprel for treatment of asthma caused over 3,500 deaths in Great Britain alone, despite safety in rats, guinea pigs, dog, and monkeys, all of which had received doses far exceeding those administered in humans (2,28).”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [2] Greek R. Pippus A. Hansen L.A. The Nuremberg Code subverts human health and safety by requiring animal modeling BMC Med Ethics 13 2012 16 22769234 PMC3532312 source
The Discussion (Science – empirical evidence) says 3,500 asthmatics died in Great Britain and reports that high-dose studies in rats, guinea pigs, dogs, and monkeys did not elicit similar results. It does not say *over* 3,500 died or establish that the drug was generally safe in those animals; it compares their doses with commercial metered-dose vials, rather than doses administered to humans. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [28] Stolley P.D. Asthma mortality: why the United States was spared an epidemic of deaths due to asthma Am Rev Respir Dis 105 1972 883 890 5032708 source
The IN VIVO STUDIES and THE FIRST DOSE DISASTER sections describe animal testing and severe reactions to TGN1412, not Isuprel. Searches for Isuprel, the claimed 3,500 deaths in Great Britain, and the listed test animals found no passage addressing the claim; page numbers were unavailable in our copy. (LLM, conf=0.75)
Experimental — accuracy not yet measured
- Premisecitation
A review of 221 animal experiments found agreement in human studies just 50% of the time-essentially randomly.
“A review of 221 animal experiments found agreement in human studies just 50% of the time—essentially randomly (11).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [11] Perel P. Roberts I. Sena E. Comparison of treatment effects between animal experiments and clinical trials: systematic review BMJ 334 2007 197 203 17175568 PMC1781970 source
The Discussion reports agreement for three of six interventions, which supports the 50% figure at the intervention level—not as a rate across 221 individual experiments. The Methodological strengths and weaknesses section says the authors cannot provide a precise estimate of agreement or generalize from six interventions. Our copy does not substantiate the 221 figure or the conclusion that agreement was essentially random. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Premisecitation
Many concerns regarding reliability of animal models in predicting human toxicity are not based on the scientific underpinnings of interspecies translation, but rather call out collateral, potentially correctable issues, such as technical competence in executing animal research, the soundness of animal research study design, and publication bias.
“Many concerns regarding reliability of animal models in predicting human toxicity are not based on the scientific underpinnings of interspecies translation, but rather call out collateral, potentially correctable issues, such as technical competence in executing animal research, the soundness of animal research study design, and publication bias (Table 2) (67, 68, 69, 70, 71).”
Quote in the paperSubstantial claim1 of 3 sources checked- cites [67] Bracken M.B. Why animal studies are often poor predictors of human reactions to exposure J R Soc Med 102 2009 120 122 19297654 PMC2746847 source
- cites [68] van der Worp H.B. Howells D.W. Sena E.S. Can animal models of disease reliably inform human studies? PLoS Med 7 2010 e10000245 PMC2846855 20361020 source
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured - cites [69] Greek R. Kramer L.A. How to evaluate the science of non-human animal use in biomedical research and testing: a proposed format for debate Herrmann K. Jayne K. Animal Experimentation: Working Towards a Paradigm of Change Vol. 22 2019 Brill Open Boston, MA 65 87
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Rests on an assumption: Animal models are used to predict human toxicity.
- Premisecitation
Using a database of more than 800,000 animal toxicity studies performed for 350 chemicals under rigorous guidelines, a reviewer found toxicity was repeatable just 70% of the time in the same species.
“Using a database of more than 800,000 animal toxicity studies performed for 350 chemicals under rigorous guidelines, a reviewer found toxicity was repeatable just 70% of the time in the same species (45).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [45] Meigs L. Smirova L. Rovida C. Leist M. Hartung T. Animal testing and its alternatives—the most important omics is economics ALTEX 35 2018 275 305 30008008 source
In “Abandoned or withdrawn because of false-positive test results” (page unavailable), the paper reports that a repeat guideline animal test identified a toxic compound in 70% of cases. But it describes 800,000 studies associated with 10,000 chemicals in the full database; the repeatability analysis used 350 to 750 chemicals, not 800,000 studies of 350 chemicals. The 70% figure concerns repeat detection of toxic compounds, not overall repeatability of toxicity results. (LLM, conf=0.90)
Experimental — accuracy not yet measured
- Premisecitation
Aspirin causes embryo toxicity in rats and rhesus monkeys.
“aspirin (embryo toxicity in rats and rhesus monkeys) (41)”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [41] Wilson J.G. Ritter E.J. Scott W.J. Fradkin R. Comparative distribution and embryotoxicity of acetylsalicylic acid in pregnant rats and rhesus monkeys Toxicol Appl Pharmacol 41 1977 67 78 408942 source
Section 7, under “False positive drug toxicity,” says aspirin produced birth defects in rats and monkeys. It does not identify the monkeys as rhesus monkeys, so the species-specific part of the claim is unsupported. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Premisecitation
Compared with the costs of in vitro testing, animal tests range from 1.5× to >30× as expensive.
“Compared with the costs of in vitro testing, animal tests range from 1.5× to >30× as expensive (44,45).”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [44] Humane Society International Costs of Animal and Non-animal Testing. Humane Society International Available at: https://www.hsi.org/news-media/time_and_cost/ October 23, 2012
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [45] Meigs L. Smirova L. Rovida C. Leist M. Hartung T. Animal testing and its alternatives—the most important omics is economics ALTEX 35 2018 275 305 30008008 source
Table 4 (section 4; page not supplied) lists a $30,000 animal test against a $20,000 in vitro test (1.5×), and a $700,000 animal test against a $22,000 in vitro test (about 32×). But it also lists a $1,800 rabbit eye test against a $1,400 in vitro test (about 1.3×), so 1.5× is not the lower end of the comparisons shown. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Premisecitation
Regulatory and research leaders are increasingly taking notice of the issue of lack of concordance between animal and human safety studies.
“Regulatory and research leaders are increasingly taking notice of the issue.”
Quote in the paperNot a substantial claim1 of 4 sources checked- cites [62] Shanks N. Greek R. Greek J. Are animal models predictive for humans? Philos Ethics Humanit Med 4 2009 2 19146696 PMC2642860 source
- cites [63] U.S. Food and Drug Administration Press release: FDA issues advice to make earliest stages of clinical drug development more efficient. January 12 2006 U.S. Food and Drug Administration Washington DC source
- cites [64] Institute of Medicine Committee on the Use of Chimpanzees in Biomedical and Behavioral Research Chimpanzees in Biomedical and Behavioral Research: Assessing the Necessity 2011 National Academic Press Washington, DC 22514816
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [65] Milman O. National Institutes of Health announces end to chimpanzee research. The Guardian Available at: https://www.theguardian.com/us-news/2015/nov/19/national-institutes-health-end-chimpanzee-research November 19, 2015
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
A number of studies demonstrate continued problems with predicting human efficacy from animal models.
“although a number of studies do demonstrate continued problems with predicting human efficacy (73).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [73] Akhtar A. The flaws and human harms of animal experimentation Camb Q Healthc Ethics 24 2015 407 419 26364776 PMC4594046 source
- Findingnone given
Studies examining whether measures to improve the quality of methodology in animal studies consistently improve the reliability of animal models in predicting human toxicity have yet to be published.
“Despite widespread efforts to improve the quality of methodology in animal studies, however, studies examining whether such measures consistently improve the reliability of animal models in predicting human toxicity have yet to be published”
Quote in the paperSubstantial claim - Interpretationreasoning
Animal models are poor predictors of drug safety in humans.
“analysis suggests that animal models are poor predictors of drug safety in humans”
- Also stated in: § Historical Perspective · hedged
“we need go no farther than the failure rates in drug development to have serious questions about whether animal testing accurately predicts toxicity in human trials.”
Quote in the paperSubstantial claim- Rests on an assumption: Animal testing is used in pharmaceutical and industrial research to predict human toxicity.
- Also stated in: § Historical Perspective · hedged
- Interpretationcitation
Many potentially beneficial drugs have failed animal testing and been lost to patients, even though they would have been both safe and effective.
“Undoubtedly many potentially beneficial drugs have failed animal testing and been lost to patients, even though they would have been both safe and effective (36,37).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [36] Sankar U. The delicate toxicity balance in drug discovery Scientist 19 2005 32
- cites [37] Gura T. Systems for identifying new drugs are often faulty Science 273 1997 1041 1042 9381203 source
- Interpretationreasoning
When animal tests falsely identify a safe chemical as toxic, the almost certain outcome is abandonment of further development.
“When animal tests falsely identify a safe chemical as “toxic,” the almost certain outcome is abandonment of further development.”
Quote in the paperSubstantial claim - Premisecitation
Thalidomide caused devastating phocomelia in an estimated 20,000 to 30,000 infants before it was withdrawn.
“Thalidomide caused devastating phocomelia in an estimated 20,000 to 30,000 infants before it was withdrawn.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [29] Schardein J. Drugs as Teratogens 5 1976 CRC Press Cleveland, OH 49
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Van Meer et al. found that of 93 post-marketing serious adverse outcomes, only 19% were identified in preclinical animal studies.
“Van Meer et al. (21) found that of 93 post-marketing serious adverse outcomes, only 19% were identified in preclinical animal studies.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [21] van Meer P.J. Kooijman M. Gispen-de Wied C.C. Moors E.H. Schellekens H. The ability of animal studies to detect serious post marketing adverse events is limited Reg Tox Pharm 64 2012 345 349 22982732 source
- Premisecitation
Animal tests failed to reveal significant teratogenicity of thalidomide in 10 strains of rats; 11 breeds of rabbit; 2 breeds of dog; 3 strains of hamsters; 8 species of primates; and various cats, armadillos, guinea pigs, swine, and ferrets.
“However, animal tests failed to reveal significant teratogenicity in 10 strains of rats; 11 breeds of rabbit; 2 breeds of dog; 3 strains of hamsters; 8 species of primates; and various cats, armadillos, guinea pigs, swine, and ferrets (29).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [29] Schardein J. Drugs as Teratogens 5 1976 CRC Press Cleveland, OH 49
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Penicillin is fatal to guinea pigs.
“penicillin (fatal to guinea pigs) (39)”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [39] Cormia F.E. Lewis G.M. Hopper M.E. Toxicity of penicillin for the guinea pig J Invest Dermatol 9 1947 261 267 18918918 source
- Interpretationreasoning
Drugs that survive clinical trials and attain market approval may still be recalled later due to toxicity identified only after months or years of in-human use.
“Drugs that survive clinical trials and attain market approval may still be recalled later due to toxicity identified only after months or years of in-human use.”
Quote in the paperSubstantial claim - Interpretationcitation
Many highly beneficial drugs would have failed animal testing and would never have been brought to market, except that they were developed before animal testing was required.
“However, many highly beneficial drugs would have failed animal testing and would never have been brought to market, except that they were developed before animal testing was required (38).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [38] Koppanyi T. Avery M.A. Species differences and the clinical trial of new drugs: a review Clin Pharmacol Ther 7 1966 250 270 5327179 source
- Premisecitation
Similar results were found for nonhuman primates and dogs.
“Similar results were found for nonhuman primates and dogs (14).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [14] Bailey J. Thew M. Balls M. Predicting human drug toxicity and safety via animal tests: can any one species predict drug toxicity in any other, and do monkeys help? Altern Lab Anim 43 2015 393 403 26753942 source
- Premisecitation
About 12% of pharmaceuticals pass preclinical testing to enter clinical trials.
“About 12% of pharmaceuticals pass preclinical testing to enter clinical trials (15).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [15] American Pharmaceutical Review Preclinical Development: The Safety Hurdle Prior to Human Trials. American Pharmaceutical Review Available at: https://www.americanpharmaceuticalreview.com/Featured-Articles/187349-Preclinical-Development-The-Safety-Hurdle-Prior-to-Human-Trials/ April 30, 2016
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Immunogenic responses in animals do not predict immunogenicity in humans.
“immunogenic responses in animals do not predict immunogenicity in humans (15,25, 26, 27).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [15] American Pharmaceutical Review Preclinical Development: The Safety Hurdle Prior to Human Trials. American Pharmaceutical Review Available at: https://www.americanpharmaceuticalreview.com/Featured-Articles/187349-Preclinical-Development-The-Safety-Hurdle-Prior-to-Human-Trials/ April 30, 2016
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [25] McDougal A.J. Preclinical development [CDER]: biological therapeutics for cancer treatment. Paper presented to iSBTc Oncology Biologics Development Primer; February 28, 2008; Gaithersburg, MD Available at: https://sitc.sitcancer.org/meetings/am08/primer08_oncology/presentations/3_mcdougal.pdf
- cites [26] De Groot A.S. Moise L. Prediction of immunogenicity for therapeutic proteins: state of the art Curr Opin Drug Discov Devel 10 2007 332 340 17554860
- Premisecitation
About 26% of chemicals demonstrated contradictory results on repeat testing in the same species.
“About 26% of chemicals demonstrated contradictory results on repeat testing in the same species.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [50] Browne P. Judson R.S. Casey W.M. Kleinstreuer N.C. Thomas R.S. Screening chemicals for estrogen receptor bioactivity using a computations model Environ Sci Technol 49 2015 8804 8814 26066997 source
- Interpretationcitation
Reproducibility of animal studies within species, even when carried out under rigorous protocols, is questionable.
“Reproducibility of animal studies within species, even when carried out under rigorous protocols, is questionable.”
Quote in the paperSubstantial claim - Premisecitation
Ganciclovir was refused licensure by the FDA due to lack of animal studies despite compassionate human use demonstrating efficacy and safety in treating AIDS-related cytomegalovirus retinitis in more patients than generally required for a phase I trial.
“Compassionate human use of ganciclovir demonstrated efficacy and safety in treating acquired immunodeficiency syndrome–related cytomegalovirus retinitis in more human patients than would generally be required for a phase I clinical trial, but the FDA refused to license it due to lack of animal studies.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [42] Buhles W.C. Compassionate use: a story of ethics and science in the development of a new drug Monticello M. Perspectives and Biology in Medicine Vol. 54 2011 Johns Hopkins University Press Baltimore, MD 304 315 21857123 source
- Premisecitation
Later analysis of 3,000 drugs found that tests inferring no toxicity in any 1 species, including nonhuman primates, have no evidentiary weight with regard to toxicity in any other species.
“Later analysis of 3,000 drugs found that tests inferring no toxicity in any 1 species, including nonhuman primates, have no evidentiary weight with regard to toxicity in any other species (14).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [14] Bailey J. Thew M. Balls M. Predicting human drug toxicity and safety via animal tests: can any one species predict drug toxicity in any other, and do monkeys help? Altern Lab Anim 43 2015 393 403 26753942 source
- Premisecitation
For industrial toxicity testing, it takes about 10 years and $3 million to complete all required animal studies to register a single pesticide.
“For industrial toxicity testing, it takes about 10 years and $3 million to complete all required animal studies to register a single pesticide (43).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [43] Humane Society International Limitations of Animal Tests. Humane Society International Available at: https://www.hsi.org/news-media/limitations-of-animal-tests/ February 24, 2019
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Discordant results sometimes ranged over 3 orders of magnitude within the same species.
“Furthermore, discordant results sometimes ranged over 3 orders of magnitude within the same species (50).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [50] Browne P. Judson R.S. Casey W.M. Kleinstreuer N.C. Thomas R.S. Screening chemicals for estrogen receptor bioactivity using a computations model Environ Sci Technol 49 2015 8804 8814 26066997 source
- Premisereasoning
Sensitivity, specificity, PPV, and NPV are strongly affected by the prevalence of the condition they test for and are therefore of limited value in assessing the reliability of a test when the prevalence of the condition is unknown.
“Sensitivity, specificity, PPV, and NPV are all strongly affected by the prevalence of the condition they test for and are therefore of limited value in assessing the reliability of a test when the prevalence of the condition is unknown.”
Quote in the paperSubstantial claim - Premisecitation
A 1990 analysis of the toxicities of 24 drugs abandoned during human clinical trials demonstrated that 16 had no animal model toxicity correlation.
“A 1990 analysis of the toxicities of 24 drugs abandoned during human clinical trials demonstrated that 16 had no animal model toxicity correlation (58).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [58] Lumley C. Clinical toxicity: could it have been predicted? Premarketing experience Lumley C. Walker S. Animal Toxicity Studies: Their Relevance for Man 1990 Quay Publishing London, UK 49 56
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationcitation
Lack of animal tests caused deleterious delays in critical drug approvals.
“Lack of animal tests has also caused deleterious delays in critical drug approvals.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [42] Buhles W.C. Compassionate use: a story of ethics and science in the development of a new drug Monticello M. Perspectives and Biology in Medicine Vol. 54 2011 Johns Hopkins University Press Baltimore, MD 304 315 21857123 source
- Premisecitation
Knight could find no review of animal research studies that rated a majority of the experiments as having "good" methodological quality.
“Indeed, Knight (72) could find no review of animal research studies that rated a majority of the experiments as having “good” methodological quality.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [72] Knight A. Systematic reviews of animal experiments demonstrate poor human clinical and toxicological utility Altern Lab Anim 35 2007 641 659 18186670 source
- Premisecitation
At this time, the FDA generally still requires submission of preclinical animal data in investigational new drug applications.
“At this time, the FDA generally still requires submission of preclinical animal data in investigational new drug applications (5).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [5] U.S. Food and Drug Administration Investigational New Drug (IND) Application. U.S. Food and Drug Administration Available at: https://www.fda.gov/drugs/types-applications/investigational-new-drug-ind-application October 5, 2017
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- May combine two claims. 25
- Classified as probably not a substantial claim. 13
May combine two claims.
PremisecitationThe average cost of a single, 2-generation reproductive animal toxicity study worldwide is €318,295 and for Europe alone is €285,842, or roughly $349,890 and $314,215, respectively.
“the average cost of a single, 2-generation reproductive animal toxicity study worldwide is €318,295 and for Europe alone is €285,842 (45), or roughly $349,890 and $314,215, respectively.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [45] Meigs L. Smirova L. Rovida C. Leist M. Hartung T. Animal testing and its alternatives—the most important omics is economics ALTEX 35 2018 275 305 30008008 source
Section 4 gives the same two euro figures for a two-generation OECD TG 416 study, but assigns them to the opposite regions: €285,842 worldwide and €318,295 in Europe. The citing sentence reverses those assignments. (LLM, conf=0.95)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationTGN1412 was given at 1/500th the dose found safe in animal testing to 6 human volunteers in a phase I trial, rendering them all critically ill within minutes and leaving them all with long-term complications.
“An antibody to treat human autoimmune disease, TGN1412, was given at 1/500th the dose found safe in animal testing to 6 human volunteers in a phase I trial (30,31), rendering them all critically ill within minutes and leaving them all with long-term complications (32, 33, 34).”
Quote in the paperSubstantial claim2 of 3 sources checked- cites [30] Suntharalingam G. Perry M.R. Ward S. Cytokine storm in phase 1 trial of the anti-CD28 monoclonal antibody TGN1312 N Engl J Med 355 2006 1018 1028 16908486 source
- cites [31] Dayan C.M. Wraith D.C. Preparing for first-in-man studies: the challenges for translational immunology post TGN1412 Clin Exp Immunol 151 2008 231 234 18190459 PMC2276942 source
The paper’s Abstract and Table 1 describe TGN1412 as an anti-CD28 antibody tested in a Phase 1 study of healthy volunteers, with a starting dose calculated as a fraction of an animal-derived no-adverse-effect level. They do not give the claimed 1/500th fraction or specify six recipients. The subsequent claims about illness and long-term complications are attached to different citations in the citing sentence, so they are not assessed here. (LLM, conf=0.85)
Experimental — accuracy not yet measured - cites [32] Attarwala H. TGN1412: from discovery to disaster J Young Pharm 2 2010 332 336 21042496 PMC2964774 source
May combine two claims.
PremisecitationApproximately 89% of novel drugs fail human clinical trials, with approximately one-half of those failures due to unanticipated human toxicity.
“Overall, approximately 89% of novel drugs fail human clinical trials, with approximately one-half of those failures due to unanticipated human toxicity (Figure 1) (17).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [17] Van Norman G.A. Phase II trials in drug development and adaptive trial design J Am Coll Cardiol Basic Trans Science 4 2019 428 437 PMC6609997 31312766 source
The Abstract (page unavailable) says only 9.6% of drugs entering phase I reach the market, broadly supporting the claim that roughly nine in ten fail. But “Why Drugs Fail in Clinical Trials” (page unavailable) attributes previously unknown toxic side effects to 50% of phase II failures, not to half of failures across all human clinical trials. (LLM, conf=0.87)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationCombining organ, length of exposure, and sex, PPV between mice and rats hovered around 50%, which is no greater than random chance.
“Combining organ, length of exposure, and sex, PPV between mice and rats hovered around 50%, which is no greater than random chance (12).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [12] Wang B. Gray G. Concordance of noncarcinogenic endpoints in rodent chemical bioassays Risk Anal 35 2015 1154 1166 25545328 source
The clinical-trials section discusses animal safety studies as a basis for initial human doses, but does not report predictive values between mice and rats. Searches for PPV, organ, exposure duration, sex, and interspecies toxicity found no passage addressing the claimed approximately 50% result or its comparison with chance. Page numbers were not available in our copy. (LLM, conf=0.76)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationBIA-102474-101 caused deep brain hemorrhage and necrosis in all 5 human volunteers during a phase I clinical trial after it was administered in doses that were 1/500th of the safe dose for dogs; one volunteer died.
“BIA-102474-101, a drug developed for a range of disorders from anxiety to Parkinsonism, caused deep brain hemorrhage and necrosis in all 5 human volunteers during a phase I clinical trial after it was administered in doses that were 1/500th of the safe dose for dogs. One volunteer died (35).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [35] Eddleston M. Cohen A.F. Webb D.J. Implications of the BIA-102474-101 study for review of first-into-human clinical trials Brit J Clin Pharm 81 2016 582 586 PMC4799914 26996741 source
The clinical-trial section reports deep-brain haemorrhage and necrosis on MRI in five symptomatic participants, one of whom died. The risk-assessment section reports a human dose of 0.67 mg/kg and dog no-observed-adverse-effect levels of 20 and 50 mg/kg/day—not a human dose 1/500th of the dog dose. The paper also describes eight participants in the affected cohort, rather than five volunteers in the trial. (LLM, conf=0.90)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationAverage positive predictive value from mouse to rat was 55.3% for long-term studies and 44.8% for short-term studies.
“Average positive predictive value (PPV) from mouse to rat was 55.3% and 44.8% for long-term and short-term studies, respectively.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [12] Wang B. Gray G. Concordance of noncarcinogenic endpoints in rodent chemical bioassays Risk Anal 35 2015 1154 1166 25545328 source
The Clinical Trials section discusses animal safety studies and human trial phases, but does not report mouse-to-rat positive predictive values. Searches for both percentages and for mouse-to-rat predictive value in long- and short-term studies found no matching passage in our copy. (LLM, conf=0.75)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationAn analysis of 2,366 drugs concluded that results from tests on animals (rat, mouse, rabbit) are highly inconsistent predictors of toxic responses in humans and little better than chance.
“An analysis of 2,366 drugs concluded that “results from tests on animals (specifically rat, mouse and rabbit models) are highly inconsistent predictors of toxic responses in humans, and are little better than what would result merely by chance—or tossing a coin—in providing a basis to decide whether a compound should proceed to testing in humans” (13).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [13] Bailey J. Thew M. Balls M. An analysis of the use of animal models in predicting human toxicology and drug safety Altern Lab Anim 42 2014 189 199 25068930 source
The supplied passages on phase II and III attrition and false positives discuss clinical-trial results, not animal tests. Searches for 2,366 drugs, rat/mouse/rabbit models, and whether animal tests predict human toxicity found no passage addressing the claim in our copy. (LLM, conf=0.76)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationIn a review of 2,366 drugs, including data from rat, mouse, and rabbit, positive likelihood ratios were generally high, but median negative likelihood ratios were very low-1.12 (rabbit), 1.39 (mouse), and 1.82 (rat)-and were of little or no value in excluding human toxicity.
“In a review of 2,366 drugs, including data from 3 of the most common animal research species—rat, mouse, and rabbit—PLRs were generally high (i.e., there is a likelihood that positive toxicity tests in animals would show toxicity in humans). But median NLRs were very low—1.12 (rabbit), 1.39 (mouse), and 1.82 (rat); in other words, they were of little or no value in excluding human toxicity (13).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [13] Bailey J. Thew M. Balls M. An analysis of the use of animal models in predicting human toxicology and drug safety Altern Lab Anim 42 2014 189 199 25068930 source
Split into 2 atoms — 0 confirmed, 0 partially supported, 0 disputed, 0 misattributed, 2 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
Classified as probably not a substantial claim.
PremisecitationThe biological sciences have increasingly embraced theories regarding complex systems (e.g., chaos theory and complexity theory) to explain mechanisms in evolution, the biology of cancer, the divergent properties of animal species, as well as the failures of translation of drug therapeutics from animal species to humans.
“The biological sciences have increasingly embraced theories regarding complex systems (e.g., chaos theory and complexity theory) to explain mechanisms in evolution, the biology of cancer, the divergent properties of animal species, as well as the failures of translation of drug therapeutics from animal species to humans (75,76).”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [75] Miquel P.A. Extended physics as a theoretical framework for systems biology? Prog Biophys Mol Biol 106 2011 348 352 21463648 source
- cites [76] Soto A.M. Sonnenschein C. Maini P.K. Novle D. Systems biology and cancer Prog Biophys Mol Biol 106 2011 337 346 21843772 PMC4021577 source
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Findingnone givenA comprehensive study of the accuracy, LR, and costs of alternative testing methods compared with animal toxicity testing has not been published.
“A comprehensive study of the accuracy, LR, and costs of alternative testing methods compared with animal toxicity testing has not been published”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationA 2006 review of 76 animal studies found approximately 20% were contradicted in humans and only 37% were ever replicated in humans.
“A 2006 review of 76 animal studies, for example, found that approximately 20% were contradicted in humans and only 37% were ever replicated in humans (10).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [10] Hackam D.G. Redelmeier D.A. Translation of research evidence from animals to humans JAMA 296 2006 1731 1732 17032985 source
May combine two claims.
InterpretationreasoningBecause a drug that shows toxicity in animal models is unlikely to ever undergo human testing, the magnitude of this type of error is unknown.
“Because a drug that shows toxicity in animal models is unlikely to ever undergo human testing, the magnitude of this type of “error” is unknown.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningWhen a human-toxic drug is identified as safe by animal testing, the most likely outcome is that the drug will fail in clinical testing, often due to unacceptable adverse human effects, and sometimes harming volunteer research subjects.
“When a human-toxic drug is identified as “safe” by animal testing, the most likely outcome by far is that the drug will fail in clinical testing, often due to unacceptable adverse human effects, and sometimes significantly harming volunteer research subjects in the process.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationParacetamol is toxic in dogs and cats.
“paracetamol (toxic in dogs and cats) (40)”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [40] Villar D. Buck W.B. Gonzalez J.M. Ibuprofen, aspirin and acetaminophen toxicosis and treatment in dogs and cats Vet Human Toxicol 40 1998 156 162 9610496
May combine two claims.
PremisecitationPaglialunga et al. examined translatability of respiratory safety pharmacology studies from animal models to humans and found that PPV and PLR were so low that animal tests provided little value in predicting human toxicity.
“Paglialunga et al. (56) examined translatability of respiratory safety pharmacology studies from animal models to humans and found that PPV and PLR were so low that animal tests provided little value in predicting human toxicity.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [56] Paglialunga S. Morimoto B.H. Clark M. Friedrichs G.S. Translatability of the S7A core battery respiratory safety pharmacology studies: preclinical respiratory and related clinical adverse events J Pharmacol Toxicol Methods 2019 Jun 5 [E-pub ahead of print] 31173885 source
May combine two claims.
PremisecitationRodent testing in cancer therapeutics adds an estimated 4 to 5 years to drug development and costs $2 to $4 million.
“Rodent testing in cancer therapeutics adds an estimated 4 to 5 years to drug development and costs $2 to $4 million.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [43] Humane Society International Limitations of Animal Tests. Humane Society International Available at: https://www.hsi.org/news-media/limitations-of-animal-tests/ February 24, 2019
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe 2019 West Coast Regional Safety Pharmacology Society Meeting discussed concerns about the lack of concordance between animal and human safety studies, including lack of canine and human concordance for proarrhythmia risks of new cardiovascular drugs and the failure of animal research to predict drug-related risks in the human central nervous and respiratory systems.
“The 2019 West Coast Regional Safety Pharmacology Society Meeting discussed concerns about the lack of concordance between animal and human safety studies, including lack of canine and human concordance for proarrhythmia risks of new cardiovascular drugs and the failure of animal research to predict drug-related risks in the human central nervous and respiratory systems (60,61).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [60] Abi-Gerges N. McMahon C. Vargas H. The west coast regional safety pharmacology society meeting update: filling in the translational gaps in safety assessment J Pharmacol Toxicol Methods 98 2019 106582 31077805 source
- cites [61] Ewert L. Aylott M. Deurinck M. The concordance between nonclinical and phase I clinical cardiovascular assessment from a cross-company data sharing initiative Toxicol Sci 142 2014 427 435 25246669 source
May combine two claims.
PremisecitationLichtfield examined 6 drugs studied in animal models and found that rats and dogs demonstrated PPVs for human response of 0.49 and 0.55, respectively, essentially random chance.
“Lichtfield (57) examined 6 drugs studied in animal models and found that rats and dogs demonstrated PPVs (for human response) of 0.49 and 0.55, respectively, essentially random chance.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [57] Lichtfield J.T. Jr. Symposium on clinical drug evaluation and human pharmacology. XVI. Evaluation of the safety of new drugs by means of tests in animals Clin Pharmacol Ther 3 1962 665 672 14465857 source
May combine two claims.
PremisecitationBailey et al. found that the presence of toxicity in a species sometimes added evidentiary weight to the risk of toxicity in another, but the reverse was not true: negative toxicity tests in animals did not significantly increase the probability that a toxic test would also be negative in humans, and a lack of toxicity in any species would not reliably indicate a probable lack of toxicity in any其他
“Bailey et al. (14) found that the presence of toxicity in a species sometimes added evidentiary weight to the risk of toxicity in another, but the reverse was not true: negative toxicity tests in animals did not significantly increase the probability that a toxic test would also be negative in humans, and a lack of toxicity in any species would not reliably indicate a probable lack of toxicity in”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [14] Bailey J. Thew M. Balls M. Predicting human drug toxicity and safety via animal tests: can any one species predict drug toxicity in any other, and do monkeys help? Altern Lab Anim 43 2015 393 403 26753942 source
May combine two claims.
PremisecitationGanciclovir was delayed for more than a year due to lack of animal studies and finally approved after a 4-year delay.
“but the FDA delayed clinical trials for more than a year due to lack of animal studies. The drug was finally approved after a 4-year delay (42).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [42] Buhles W.C. Compassionate use: a story of ethics and science in the development of a new drug Monticello M. Perspectives and Biology in Medicine Vol. 54 2011 Johns Hopkins University Press Baltimore, MD 304 315 21857123 source
May combine two claims.
PremisecitationIn canine models, PPV and PLR for human toxicity were not correlated with one another; NLR were low, indicating that the dog provided little evidentiary weight to ruling out toxicity in humans.
“The investigators also examined canine models and found that PPV and PLR for human toxicity were not correlated with 1 another: NLR were low, indicating that the dog provided little evidentiary weight to ruling out toxicity in humans (52).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [52] Bailey J. Thew M. Balls M. An analysis of the use of dogs in predicting human toxicology and drug safety Altern Lab Anim 2013 335 350 24329742 source
May combine two claims.
InterpretationreasoningOnce a drug tests positive for toxicity in animals, it is rarely tested against humans, and the prevalence of human toxicity remains unknown.
“Once a drug tests positive for toxicity in animals, it is rarely tested against humans, and the prevalence of the real condition the test is being used to “detect”—human toxicity—remains unknown.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
InterpretationreasoningIncreasingly, scientific organizations and government regulatory agencies are recognizing that alternative methods may replace animal testing and improve the flow and safety of new therapeutics to human use.
“Increasingly, scientific organizations and government regulatory agencies are recognizing that alternative methods may replace animal testing and improve the flow and safety of new therapeutics to human use.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
Interpretationnone givenThe quality of methodology in an individual experiment cannot be extrapolated to the question of whether animal experimentation as a whole is invalid, merely to whether the individual experiment is yielding true results.
“The quality of methodology in an individual experiment cannot be extrapolated to the question of whether animal experimentation as a whole is invalid, merely to whether the individual experiment is yielding true results.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
InterpretationreasoningTo determine whether animal modeling is reliable in current science, one needs to use modern scientific knowledge and examine modern methodology to determine whether animal modeling is predictive of human outcomes today.
“To determine whether animal modeling is reliable in current science, we need to use modern scientific knowledge and examine modern methodology to determine whether animal modeling is predictive of human outcomes today.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationnone givenThe invalidity of using certain specific animals does not necessarily rule out animal models as a whole.
“The invalidity of using certain specific animals does not necessarily rule out animal models as a whole.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable). May combine two claims.
InterpretationreasoningExamination of the published data raises significant questions about whether animal toxicity testing is reliable and should be abandoned or at least significantly curtailed in favor of other potentially more reliable methods.
“Although animal toxicity testing has been the stalwart basis of “ensuring” safety of in-human clinical testing and use, examination of the published data raises significant questions about whether it is reliable and should be abandoned or at least significantly curtailed in favor of other potentially more reliable methods.”
Quote in the paperNot a substantial claim- Rests on an assumption: Animal toxicity testing has been the stalwart basis of “ensuring” safety of in-human clinical testing and use.
- Rests on an assumption: The published data on animal toxicity testing are sufficient to assess its reliability.
- Rests on an assumption: Animal models are used to predict human toxicity.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe Interagency Coordinating Committee on Validation of Alternative Methods and the National Toxicology Program Interagency Center for the Evaluation of Alternative Toxicological Methods were established in 1997 to coordinate the development, validation, acceptance, and harmonization of alternative toxicological test methods throughout the U.S. government and have as a part of their mission theex-
“The Interagency Coordinating Committee on Validation of Alternative Methods and the National Toxicology Program Interagency Center for the Evaluation of Alternative Toxicological Methods were established in 1997 to coordinate the development, validation, acceptance, and harmonization of alternative toxicological test methods throughout the U.S. government (85) and have as a part of their mission”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [85] U.S. ICCVAM Interagency Coordinating Committee on Validation of Alternative Methods. Research Triangle Park, NC: U.S. ICCVAM, 2019 Available at: https://www.niehs.nih.gov/health/materials/interagency_coordinating_committee_on_the_validation_of_alternative_methods_508.pdf
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
InterpretationreasoningHistorical use of animal modeling is a poor measure of the validity of current experimentation and methods.
“Historical use of animal modeling is a poor measure of the validity of current experimentation and methods.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationThere is data suggesting that in vitro testing and other methods are significantly faster and less expensive than animal models.
“however, there is data suggesting that in vitro testing and other methods are significantly faster and less expensive than animal models (42,44).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [42] Buhles W.C. Compassionate use: a story of ethics and science in the development of a new drug Monticello M. Perspectives and Biology in Medicine Vol. 54 2011 Johns Hopkins University Press Baltimore, MD 304 315 21857123 source
- cites [44] Humane Society International Costs of Animal and Non-animal Testing. Humane Society International Available at: https://www.hsi.org/news-media/time_and_cost/ October 23, 2012
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationA 2019 spending bill passed by the U.S. House of Representatives includes a directive to the National Institutes of Health to accelerate the replacement of nonhuman primates in research with alternative research models.
“A 2019 spending bill passed by the U.S. House of Representatives includes a directive to the National Institutes of Health to accelerate the replacement of nonhuman primates in research with alternative research models (83).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [83] Reardon S. U.S. Lawmakers Propose Plan to Reduce Primate Research at the National Institutes of Health. Nature Available at: https://www.nature.com/articles/d41586-019-01511-0?utm_source=twt_nnc and utm_medium=social and utm_campaign=naturenews and sf212424116=1 May 9, 2019 32382118 source
Probably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningThe existence of alternatives to animal research does not address whether continued use of animal models is scientifically valid, regardless of alternative methods.
“This argument does not address whether continued use of animal models is scientifically valid, regardless of alternative methods”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Premisenone givenAlternatives to animal research exist or are developing in many areas of medical research, but in many instances such alternatives do not exist.
“Whereas alternatives to animal research exist or are developing in many areas of medical research, in many instances such alternatives do not exist.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
Animal testing is used in pharmaceutical and industrial research to predict human toxicity.
“Animal testing is used in pharmaceutical and industrial research to predict human toxicity”
The paper relies on this without support.
Animal toxicity testing has been the stalwart basis of “ensuring” safety of in-human clinical testing and use.
“Although animal toxicity testing has been the stalwart basis of “ensuring” safety of in-human clinical testing and use”
The paper relies on this without support.
The published data on animal toxicity testing are sufficient to assess its reliability.
“examination of the published data raises significant questions about whether it is reliable”
The paper relies on this without support.
Animal models are used to predict human toxicity.
“reliability of animal models in predicting human toxicity”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The absence of pharmacokinetic exposure control confounds interpretation of cross-species concordance because toxicities observed in animal models at high doses may not represent risks at clinically relevant efficacious doses.
“The absence of pharmacokinetic exposure control further confounds interpretation, as toxicities observed in animal models, often at high doses, may not accurately represent risks relevant to clinical settings with relevant efficacious doses (Van Norman, 2019).”
From A large-scale concordance study of toxicity findings across preclinical species and humans for small molecules and biologics (2026) · cites this paper as Van Norman, 2019
The Historical Perspective section reports poor concordance between animal and human toxicity findings. But our copy does not identify a lack of pharmacokinetic exposure control as the confounder or say that toxicities seen in animals at high doses may be irrelevant at clinically efficacious doses. The Price of Wrong Decisions instead gives examples of animals appearing safe at doses far above those that harmed humans; no page numbers were provided. (LLM, conf=0.83)
Experimental — accuracy not yet measuredThese events often lack precise analogs in animal models, are subject to broad etiologic variability, or are under-detected due to behavioral and physiological differences across species.
“These events often lack precise analogs in animal models, are subject to broad etiologic variability, or are under-detected due to behavioral and physiological differences across species (Van Norman, 2019; Lu et al., 2023; Wu et al., 2023).”
From A large-scale concordance study of toxicity findings across preclinical species and humans for small molecules and biologics (2026) · cites this paper as Van Norman, 2019
The Historical Perspective and Growing Scientific Criticism sections (page unavailable) report that animal studies often fail to predict human toxicities, supporting the general point that animal models may not capture human events. They do not establish that the events have broadly variable etiologies or are under-detected because of behavioral and physiological differences across species. (LLM, conf=0.82)
Experimental — accuracy not yet measuredSuch limitations align with broader critiques of the challenges in predicting certain human toxicities from animal studies, especially for nuanced functional and neurobehavioral endpoints.
“Such limitations align with broader critiques of the challenges in predicting certain human toxicities from animal studies, especially for nuanced functional and neurobehavioral endpoints (Van Norman, 2019).”
From A large-scale concordance study of toxicity findings across preclinical species and humans for small molecules and biologics (2026) · cites this paper as Van Norman, 2019
The Abstract and Conclusions question whether animal studies reliably predict human toxicity. Growing Scientific Criticism specifically reports failures to predict drug-related risks in the human central nervous system, but the paper does not identify nuanced functional or neurobehavioral endpoints as especially difficult to predict. The copy provides section labels but no page numbers for these passages. (LLM, conf=0.84)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Removing toxicity failures does not produce a 56% clinical-trial success rate
MajorThe figure says the toxicity-related failures are eliminated before clinical trials, not converted into successful trials. With an 11.7% success rate and roughly half of the 89% failures removed, the success rate among the remaining trials would be about 21%, not 56%.
“The third column demonstrates what would happen if animal and human toxicity were closely correlated and therefore drugs with human toxicity were eliminated at the preclinical testing stage by animal toxicity testing (one-half of all drug failures in clinical trials are due to toxicity issues despite safety in animals).”
“Success rates of clinical trials increase from 11.7% overall to approximately 56%.”
The stated effect of an NLR below one reverses its earlier definition
MinorThe paper defines the NLR as indicating a decrease in the probability that a condition exists after a negative result. It later says an NLR below one decreases the probability that the condition is absent-the opposite direction.
“The negative likelihood ratio (NLR) indicates how much the probability that a condition exists decreases compared with its pre-test probability, given a negative test result.”
“For an NLR of <1.0, for any subject with a negative test, the probability that they do not have the condition also decreases compared with the pre-test probability.”
Likelihood ratios are said to multiply both probabilities and odds
MinorThe paper first says to calculate the change by multiplying the pre-test probability by the likelihood ratio, but later says the calculation requires converting probabilities to odds and back. Those are different calculations: likelihood ratios multiply odds, not probabilities.
“The change in post-test probability from pre-test probability is calculated by multiplying the pre-test probability (prevalence) by the PLR or NLR.”
“it requires knowing the sensitivity and specificity of a test and pre-test probabilities, conversion of probabilities to odds and back again”
Cited works that were retracted
Works this paper cites that were later retracted, from the retraction notices publishers deposit. Major when the notice came out before this paper was published.
Cites a retracted work: 10.1093/nar/gkv1192
InfoThe cited work was retracted; the date of the notice is not on record.
Cited work 10.1093/nar/gkv1192 · retraction date not known · this paper published 2019-11
“The most common toxicity types associated with drug withdrawals in the United States and Europe are hepatic (21%), cardiovascular (16%), hematological (11%), neurological (9%), and carcinogenicity (8%) (Figure 2) (20).”
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The evolving role of investigative toxicology in the pharmaceutical industry
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Poor Translatability of Biomedical Research Using Animals — A Narrative Review
Marshall, L. J., Bailey, J., Cassotta, M., Herrmann, K., & Pistollato, F. (2023) · Alternatives to Laboratory Animals · doi:10.1177/02611929231157756 · Cited by 219 · see citing works
Current Strategies to Enhance Delivery of Drugs across the Blood–Brain Barrier
Teleanu, R. I., Preda, M. D., Niculescu, A.-G., Vladâcenco, O., Radu, C. I., Grumezescu, A. M., & Teleanu, D. M. (2022) · Pharmaceutics · doi:10.3390/pharmaceutics14050987 · Cited by 200 · see citing works
Limitations of Animal Studies for Predicting Toxicity in Clinical Trials
Norman, G. A. V. (2020) · JACC Basic to Translational Science · doi:10.1016/j.jacbts.2020.03.010 · Cited by 197 · see citing works
“I ncreasingly, toxicologic testing in animals and preclinical animal studies in drug development have been questioned because of poor correlation with in-human results (1).”
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Large-scale perfused tissues via synthetic 3D soft microfluidics
Grebenyuk, S. E., Fattah, A. R. A., Kumar, M., Toprakhisar, B., Rustandi, G., Vananroye, A., Salmon, I., Verfaillie, C. M., Grillo, M. P., & Ranga, A. (2023) · Nature Communications · doi:10.1038/s41467-022-35619-1 · Cited by 155 · see citing works
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The role of gut microbiota in T cell immunity and immune mediated disorders
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Design and Fabrication of Organ-on-Chips: Promises and Challenges
Tajeddin, A., & Mustafaoğlu, N. (2021) · Micromachines · doi:10.3390/mi12121443 · Cited by 132 · see citing works
“Many preclinical animal tests lead to failures at the final stage of in vivo testing, resulting in a loss of resources and time [57].”
BackgroundThe Sheep as a Large Animal Model for the Investigation and Treatment of Human Disorders
Banstola, A., & Reynolds, J. N. J. (2022) · Biology · doi:10.3390/biology11091251 · Cited by 120 · see citing works
“, mice, rats, and guinea pigs) to study, which may not be ideal for translating therapies into clinical research [1,3,13].”
BackgroundHuman Organoids for Predictive Toxicology Research and Drug Development
Matsui, T., & Shinozawa, T. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2021.767621 · Cited by 109 · see citing works
“Frontiers in Genetics | www.frontiersin.org November 2021 | Volume 12 | Article 7676211 REVIEW published: 01 November 2021 doi: 10.3389/fgene.2021.767621 toxicity in humans (Van Norman, 2019; 2020).”
InfluentialCurrent Strategies in Assessment of Nanotoxicity: Alternatives to In Vivo Animal Testing
Huang, H.-J., Lee, Y., Hsu, Y., Liao, C., Lin, Y., & Chiu, H. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22084216 · Cited by 111 · see citing works
The relevance of sustainable laboratory practices
Freese, T., Elzinga, N., Heinemann, M., Lerch, M. M., & Feringa, B. L. (2024) · RSC Sustainability · doi:10.1039/d4su00056k · Cited by 128 · see citing works
A framework for chemical safety assessment incorporating new approach methodologies within REACH
Ball, N. S., Bars, R., Botham, P. A., Cuciureanu, A., Cronin, M., Doe, J. E., Dudzina, T., Gant, T. W., Leist, M., & van Ravenzwaay, B. (2022) · Archives of Toxicology · doi:10.1007/s00204-021-03215-9 · Cited by 108 · see citing works
Safety Landscape of Therapeutic Nanozymes and Future Research Directions
Tagaras, N., Song, H., Sahar, S., Tong, W., Mao, Z., & Buerki‐Thurnherr, T. (2024) · Advanced Science · doi:10.1002/advs.202407816 · Cited by 109 · see citing works
Organ-on-a-chip technology for nanoparticle research
Kang, S., Park, S. E., & Huh, D. (2021) · Nano Convergence · doi:10.1186/s40580-021-00270-x · Cited by 106 · see citing works
3d organ-on-a-chip: the convergence of microphysiological systems and organoids
Baptista, L. S., Porrini, C., Kronemberger, G. S., Kelly, D. J., & Perrault, C. M. (2022) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2022.1043117 · Cited by 90 · see citing works
The (misleading) role of animal models in drug development
Härtung, T. (2024) · Frontiers in Drug Discovery · doi:10.3389/fddsv.2024.1355044 · Cited by 96 · see citing works
Multiscale drug screening for cardiac fibrosis identifies MD2 as a therapeutic target
Zhang, H., Thai, P. N., Shivnaraine, R. V., Ren, L., Wu, X., Siepe, D. H., Liu, Y., Tu, C., Shin, H. S., Caudal, A., et al. (2024) · Cell · doi:10.1016/j.cell.2024.09.034 · Cited by 91 · see citing works
Kim, H., Im, I., Jeon, J. S., Kang, E.-H., Lee, H., Jo, S., Kim, J., Woo, D., Choi, Y. J., Kim, H. J., et al. (2022) · Biomaterials · doi:10.1016/j.biomaterials.2022.121575 · Cited by 84 · see citing works
Recent Advances in Organ‐on‐Chips Integrated with Bioprinting Technologies for Drug Screening
Rezaei, N. T., Kumar, H., Liu, H., Lee, S. S., Park, S. S., & Kim, K. (2023) · Advanced Healthcare Materials · doi:10.1002/adhm.202203172 · Cited by 79 · see citing works
The new paradigm in animal testing – “3Rs alternatives”
Poh, W. T., & Stanslas, J. (2024) · Regulatory Toxicology and Pharmacology · doi:10.1016/j.yrtph.2024.105705 · Cited by 85 · see citing works
Liver three-dimensional cellular models for high-throughput chemical testing
Yang, S., Ooka, M., Margolis, R. J., & Xia, M. (2023) · Cell Reports Methods · doi:10.1016/j.crmeth.2023.100432 · Cited by 75 · see citing works
Generation and analysis of 3D cell culture models for drug discovery
Belfiore, L., Aghaei‐Ghareh‐Bolagh, B., Law, A. M. K., Dobrowolski, J. C., Raftery, L. J., Tjandra, A. D., Yee, C., Piloni, A., Volkerling, A. M., Ferris, C. J., et al. (2021) · European Journal of Pharmaceutical Sciences · doi:10.1016/j.ejps.2021.105876 · Cited by 74 · see citing works
Are Non-animal Systemic Safety Assessments Protective? A Toolbox and Workflow
Middleton, A., Reynolds, J., Cable, S., Baltazar, M. T., Li, H., Bevan, S. J., Carmichael, P. L., Dent, M. P., Hatherell, S., Houghton, J., et al. (2022) · Toxicological Sciences · doi:10.1093/toxsci/kfac068 · Cited by 72 · see citing works
“Overall, the approach is similar to traditional risk assessment, in that toxicologists do not expect animals to behave exactly as humans (Hartung, 2008; Van Norman, 2019), or to express the same adverse effects following administration of a chemical.”
ResultHofer, S., Hofstätter, N., Punz, B., Hasenkopf, I., Johnson, L., & Himly, M. (2022) · Wiley Interdisciplinary Reviews Nanomedicine and Nanobiotechnology · doi:10.1002/wnan.1804 · Cited by 67 · see citing works
“Even though in vivo models give a complete pharmacokinetics and pharmacodynamics profile they often fail in predicting toxicity in humans (Van Norman, 2019).”
BackgroundMendelian randomization as a tool to inform drug development using human genetics
Daghlas, I., & Gill, D. (2023) · Cambridge Prisms Precision Medicine · doi:10.1017/pcm.2023.5 · Cited by 65 · see citing works
From pharmacogenetics to pharmaco-omics: Milestones and future directions
Auwerx, C., Sadler, M. C., Reymond, A., & Kutalik, Z. (2022) · Human Genetics and Genomics Advances · doi:10.1016/j.xhgg.2022.100100 · Cited by 68 · see citing works
“Experimental studies have their limitations, such as high costs, limited throughput, and/or poor reproducibility and trans-latability, 178,179 but the virtuous cycle between human observational studies and in vitro and in vivo experimentation in model organisms 156 should incite PGx to exploit the…”
BackgroundBrain organoids and organoid intelligence from ethical, legal, and social points of view
Härtung, T., Pantoja, I. E. M., & Smirnova, L. (2024) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2023.1307613 · Cited by 66 · see citing works
“Preclinical testing in non-human models has frequently failed to predict pharmacological effects and side-effects in humans (Pistollato et al., 2016; Van Norman, 2019).”
BackgroundChallenges faced in developing an ideal chronic wound model
Tan, M. L. L., Chin, J. S., Madden, L. E., & Becker, D. L. (2022) · Expert Opinion on Drug Discovery · doi:10.1080/17460441.2023.2158809 · Cited by 63 · see citing works
Tutty, M. A., Movia, D., & Prina‐Mello, A. (2022) · Drug Delivery and Translational Research · doi:10.1007/s13346-022-01147-0 · Cited by 64 · see citing works
Qu, T., Sun, Q., Tan, B., Wei, H., Qiu, X., Xu, X., Gao, H. Y., & Zhang, S. (2024) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2024.136999 · Cited by 62 · see citing works
Carratt, S. A., Zuch de Zafra, C. L., Oziolor, E., Rana, P., Vansell, N. R., Mangipudy, R., & Vaidya, V. S. (2025) · Toxicological Sciences · doi:10.1093/toxsci/kfae122 · Cited by 59 · see citing works
toxCSM: comprehensive prediction of small molecule toxicity profiles
de Sá, A. G. C., Long, Y., Portelli, S., Pires, D. E. V., & Ascher, D. B. (2022) · Briefings in Bioinformatics · doi:10.1093/bib/bbac337 · Cited by 60 · see citing works
Cassotta, M., Forbes-Hernández, T. Y., Iglesias, R. C., Ruíz, R., Elexpuru-Zabaleta, M., Giampieri, F., & Battino, M. A. (2020) · Nutrients · doi:10.3390/nu12061827 · Cited by 57 · see citing works
“In addition, although some problems of external validity can be overcome by improving the animal models, the problem of species differences can never be overcome and will always undermine external validity and the reliable translation of preclinical findings to humans, emphasizing the need to focus on human-relevant r…”
BackgroundIn Silico ADME Profiling of Salubrinal and Its Analogues
Zadorozhnii, P. V., Kiselev, V. V., & Kharchenko, A. V. (2022) · Future Pharmacology · doi:10.3390/futurepharmacol2020013 · Cited by 58 · see citing works
(Bio)printing in Personalized Medicine—Opportunities and Potential Benefits
Shopova, D., Yaneva, A., Bakova, D. R., et al. (2023) · Bioengineering · doi:10.3390/bioengineering10030287 · Cited by 56 · see citing works
Yadav, J., Hassani, M. E., Sodhi, J. K., Lauschke, V. M., Hartman, J. H., & Russell, L. E. (2021) · Drug Metabolism Reviews · doi:10.1080/03602532.2021.1922435 · Cited by 57 · see citing works
“Dramatically rising costs and extremely high failure rates in drug development have led many to reevaluate the value of animal studies (Van Norman 2019).”
BackgroundYouhanna, S. C., Kemas, A. M., Preiss, L. C., Zhou, Y., Shen, J. X., Cakal, S. D., Paqualini, F. S., Goparaju, S. K., Shafagh, R. Z., Lind, J. U., et al. (2022) · Pharmacological Reviews · doi:10.1124/pharmrev.120.000238 · Cited by 57 · see citing works
Liver-on-a-chip devices: the pros and cons of complexity
Dalsbecker, P., Adiels, C. B., & Goksör, M. (2022) · American Journal of Physiology-Gastrointestinal and Liver Physiology · doi:10.1152/ajpgi.00346.2021 · Cited by 55 · see citing works
Rudroff, T. (2024) · Neurology International · doi:10.3390/neurolint16040060 · Cited by 58 · see citing works
“This will require close collaboration be-Neurol tween regulators, industry, academia, and other stakeholders to establish the best practices and standards for AI development and deployment [61].”
Background3D Cell Printing of Tissue/Organ-Mimicking Constructs for Therapeutic and Drug Testing Applications
Kim, J., Kong, J. S., Han, W., Kim, B. S., & Cho, D. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21207757 · Cited by 55 · see citing works
“Drug testing results vary according to which species is used [161,162].”
BackgroundCostard, L. S., Hosn, R. R., Ramanayake, H., O’Brien, F. J., & Curtin, C. M. (2021) · Acta Biomaterialia · doi:10.1016/j.actbio.2021.01.023 · Cited by 57 · see citing works
Functional genomics and the future of iPSCs in disease modeling
Brooks, I. R., Garrone, C. M., Kerins, C., Kiar, C. S., Syntaka, S., Xu, J. Z., Spagnoli, F. M., & Watt, F. M. (2022) · Stem Cell Reports · doi:10.1016/j.stemcr.2022.03.019 · Cited by 54 · see citing works
“However, the lack of congruence between animal models and human diseases (Van Norman, 2019) has led to failures in translation of numerous pre-clinical and clinical trial results.”
Morotti, S., Liu, C., Hegyi, B., Ni, H., Iseppe, A. F., Wang, L., Pritoni, M., Ripplinger, C. M., Bers, D. M., Edwards, A. G., et al. (2021) · Science Advances · doi:10.1126/sciadv.abg0927 · Cited by 50 · see citing works
Blood-brain barrier-on-a-chip for brain disease modeling and drug testing
Cui, B., & Cho, S. (2022) · BMB Reports · doi:10.5483/bmbrep.2022.55.5.043 · Cited by 56 · see citing works
Pervasive transcriptome interactions of protein-targeted drugs
Fang, L., Velema, W. A., Lee, Y., Xiao, L., Mohsen, M. G., Kietrys, A. M., & Kool, E. T. (2023) · Nature Chemistry · doi:10.1038/s41557-023-01309-8 · Cited by 57 · see citing works
Hristozov, D. R., Badetti, E., Bigini, P., Brunelli, A., Dekkers, S., Diomede, L., Doak, S. H., Fransman, W., Gajewicz, A., Giubilato, E., et al. (2024) · NanoImpact · doi:10.1016/j.impact.2024.100523 · Cited by 57 · see citing works
Oliveira, I. M., Fernandes, D. C., Cengiz, I. F., et al. (2021) · Journal of Materials Science Materials in Medicine · doi:10.1007/s10856-021-06547-1 · Cited by 51 · see citing works
Mice in translational neuroscience: What R we doing?
Azkona, G., & Sánchez‐Pernaute, R. (2022) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2022.102330 · Cited by 53 · see citing works
“…both scientific rationale and toxicity, it has been estimated that more than 80% of compounds entering human trials fail (Paul et al., 2010; Perrin, 2014; Van Norman, 2019), a reason why many pharmaceutical companies have lately disinvested in animal research (Hunter, 2011; Kaiser and Feng, 2015).”
BackgroundMolToxPred: small molecule toxicity prediction using machine learning approach
Anjali, S., Jani, V., Sonavane, U., & Joshi, R. (2024) · RSC Advances · doi:10.1039/d3ra07322j · Cited by 54 · see citing works
Current global vaccine and drug efforts against COVID-19: Pros and cons of bypassing animal trials
Deb, B., Shah, H., & Goel, S. (2020) · Journal of Biosciences · doi:10.1007/s12038-020-00053-2 · Cited by 50 · see citing works
“Although ganciclovir is successful in treating patients with acquired immunodeficiency syndrome-related cytomegalovirus retinitis, due to lack of animal studies, it did not get approval by FDA and was delayed by 4 years (Van Norman 2019).”
BackgroundApplicability of organ-on-chip systems in toxicology and pharmacology
Schneider, M. R., Oelgeschläger, M., Burgdorf, T., van Meer, P. J. K., Theunissen, P. T., Kienhuis, A. S., Piersma, A. H., & Vandebriel, R. J. (2021) · Critical Reviews in Toxicology · doi:10.1080/10408444.2021.1953439 · Cited by 49 · see citing works
Advanced In Vitro Models for Preclinical Drug Safety: Recent Progress and Prospects
Nair, D. G., & Weiskirchen, R. (2024) · Current Issues in Molecular Biology · doi:10.3390/cimb47010007 · Cited by 45 · see citing works
Bahadoran, Z., Mirmiran, P., Kashfi, K., & Ghasemi, A. (2020) · Journal of the American Association for Laboratory Animal Science · doi:10.30802/aalas-jaalas-19-000139 · Cited by 49 · see citing works
Véliz, D. S., Lin, K., & Sahlgren, C. (2023) · Smart Medicine · doi:10.1002/smmd.20220030 · Cited by 45 · see citing works
Targeted Drug Delivery for the Treatment of Blood Cancers
Jiang, Y. X., Lin, W., & Zhu, L. (2022) · Molecules · doi:10.3390/molecules27041310 · Cited by 46 · see citing works
“There are many new medicines that have shown promising antitumor activities in animal models but are still less effective in clinical trials [108].”
BackgroundTemporal dynamics of immune-stromal cell interactions in fracture healing
Capobianco, C. A., Hankenson, K. D., & Knights, A. J. (2024) · Frontiers in Immunology · doi:10.3389/fimmu.2024.1352819 · Cited by 48 · see citing works
Improved Detection of Drug-Induced Liver Injury by Integrating Predicted In Vivo and In Vitro Data
Seal, S., Williams, D. P., Hosseini-Gerami, L., Mahale, M., Carpenter, A. E., Spjuth, O., & Bender, A. (2024) · Chemical Research in Toxicology · doi:10.1021/acs.chemrestox.4c00015 · Cited by 46 · see citing works
Advancements in stem cell-derived hepatocyte-like cell models for hepatotoxicity testing
Jin, M., Xiao, Y., Liao, W., Chen, Q., Yang, W., Li, Y., Li, S., Gao, Y., Peng, Q., & Zhou, S. (2021) · Stem Cell Research & Therapy · doi:10.1186/s13287-021-02152-9 · Cited by 41 · see citing works
“With considerable interspecies differences in drug metabolism, animal models cannot accurately reflect the metabolic response of drugs in humans, and high costs and ethical issues also limit the application of animal models [22].”
BackgroundAnalytical and Omics-Based Advances in the Study of Drug-Induced Liver Injury
Kralj, T., Brouwer, K. L. R., & Creek, D. J. (2021) · Toxicological Sciences · doi:10.1093/toxsci/kfab069 · Cited by 43 · see citing works
“However, there are numerous limitations with the use of animal models to assess DILI, including high costs, ethical issues, and poor translation between species, whereby numerous drugs have been misidentified in preclinical animal models as either safe or toxic for humans (Van Norman, 2019).”
BackgroundLoh, J. S., Tan, L., Lee, W.-L., Ming, L. C., How, C. W., Foo, J. B., Kifli, N., Goh, B. H., & Ong, Y. S. (2021) · Cancers · doi:10.3390/cancers13215346 · Cited by 41 · see citing works
Addressing the safety of new food sources and production systems
Tan, Y. Q., Ong, H. C., Yong, A. M. H., Fattori, V., & Mukherjee, K. (2024) · Comprehensive Reviews in Food Science and Food Safety · doi:10.1111/1541-4337.13341 · Cited by 47 · see citing works
Vormann, M. K., Tool, L. M., Ohbuchi, M., Gijzen, L., van Vught, R., Hankemeier, T., Kiyonaga, F., Kawabe, T., Goto, T., Fujimori, A., et al. (2022) · Kidney360 · doi:10.34067/kid.0003622021 · Cited by 39 · see citing works
“Finally, the replacement of animal models is expected to reduce costs and time and increase the throughput and predictability (17,18).”
BackgroundMicrofluidic Liver-on-a-Chip for Preclinical Drug Discovery
Fu, J., Qiu, H., & Tan, C. S. (2023) · Pharmaceutics · doi:10.3390/pharmaceutics15041300 · Cited by 42 · see citing works
The virtual assay software for human in silico drug trials to augment drug cardiac testing
Passini, E., Zhou, X., Trovato, C., Britton, O. J., Bueno‐Orovio, A., & Rodríguez, B. (2020) · Journal of Computational Science · doi:10.1016/j.jocs.2020.101202 · Cited by 40 · see citing works
Sztankovics, D., Moldvai, D., Petővári, G., Gelencsér, R., Krencz, I., Raffay, R. E., Dankó, T., & Sebestyén, A. R. (2023) · Pathology & Oncology Research · doi:10.3389/pore.2023.1610996 · Cited by 39 · see citing works
“, hepatic, cardiovascular, hematologic, neurologic, and carcinogenic) (3).”
In silico nanotoxicology: The computational biology state of art for nanomaterial safety assessments
Verma, S. K., Nandi, A., Simnani, F. Z., Singh, D., Sinha, A., Naser, S. S., Sahoo, J., Lenka, S. S., Panda, P. K., Dutt, A., et al. (2023) · Materials & Design · doi:10.1016/j.matdes.2023.112452 · Cited by 40 · see citing works
Heart-on-a-chip systems: disease modeling and drug screening applications
Butler, D., & Reyes, D. R. (2024) · Lab on a Chip · doi:10.1039/d3lc00829k · Cited by 41 · see citing works
Heart Slice Culture System Reliably Demonstrates Clinical Drug-Related Cardiotoxicity
Miller, J. M., Meki, M. H., Ou, Q., George, S. A., Gams, A., Abouleisa, R., Tang, X., Ahern, B. M., Giridharan, G. A., El-Baz, A. S., et al. (2020) · Toxicology and Applied Pharmacology · doi:10.1016/j.taap.2020.115213 · Cited by 36 · see citing works
Drosophila melanogaster: A Powerful Tiny Animal Model for the Study of Metabolic Hepatic Diseases
Moraes, K. C. M., & Montagne, J. (2021) · Frontiers in Physiology · doi:10.3389/fphys.2021.728407 · Cited by 39 · see citing works
Microphysiological Blood‐Brain Barrier Systems for Disease Modeling and Drug Development
Mulay, A. R., Hwang, J., & Kim, D. (2024) · Advanced Healthcare Materials · doi:10.1002/adhm.202303180 · Cited by 37 · see citing works
Synthetic and Biogenic Materials for Oral Delivery of Biologics: From Bench to Bedside
Ding, S., Alexander, E., Liang, H., Kulchar, R. J., SINGH, R. K., Herzog, R. W., Daniell, H., & Leong, K. W. (2025) · Chemical Reviews · doi:10.1021/acs.chemrev.4c00482 · Cited by 42 · see citing works
Alternative strategies in cardiac preclinical research and new clinical trial formats
Kreutzer, F. P., Meinecke, A., Schmidt, K., Fiedler, J., & Thum, T. (2022) · Cardiovascular Research · doi:10.1093/cvr/cvab075 · Cited by 36 · see citing works
“or even replace in vivo models for drug development.(13,58) Such cell culture systems provoke intensified cell-cell contacts or the establishment and interaction with extracellular matrix, thereby providing a more in vivo-like environment and cellular behaviour.”
BackgroundShou, Y., Johnson, S. C., Quek, Y. J., Li, X., & Tay, A. K. P. (2022) · Materials Today Bio · doi:10.1016/j.mtbio.2022.100269 · Cited by 34 · see citing works
Neziri, S., Köseoğlu, A. E., Köseoğlu, G. D., Özgültekin, B., & Özgentürk, N. Ö. (2024) · Animal Models and Experimental Medicine · doi:10.1002/ame2.12487 · Cited by 39 · see citing works
Targeting Oxidative Stress in Intracerebral Hemorrhage: Prospects of the Natural Products Approach
Zheng, Y., Li, R., & Fan, X. (2022) · Antioxidants · doi:10.3390/antiox11091811 · Cited by 37 · see citing works
Barberio, C., Withers, A. M., Mishra, Y., Couraud, P., Romero, I. A., Weksler, B. B., & Owens, R. M. (2022) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2022.1065193 · Cited by 33 · see citing works
Santiago, A., Butakoff, C., Eguzkitza, B., Gray, R. A., May‐Newman, K., Pathmanathan, P., Vu, V., & Vázquez, M. (2022) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1010141 · Cited by 36 · see citing works
A worldwide survey on the use of animal‐derived materials and reagents in scientific experimentation
Cassotta, M., Bartnicka, J. J., Pistollato, F., Parvatam, S., Weber, T., D'Alessandro, V., Bastos, L. F., & Coecke, S. (2022) · Engineering in Life Sciences · doi:10.1002/elsc.202100167 · Cited by 33 · see citing works
Singh, V., Son, H., Lee, G., Lee, S., Unno, T., & Shin, J. (2022) · Biotechnology and Bioengineering · doi:10.1002/bit.28206 · Cited by 33 · see citing works
“Studies have also shown that almost 89% of new drugs successful in animal trials fail in human trials (Van Norman, 2019).”
BackgroundCharacterization of glioblastoma spheroid models for drug screening and phototherapy assays
Alves, S. R., Calori, I. R., Bi, H., & Tedesco, A. C. (2022) · OpenNano · doi:10.1016/j.onano.2022.100116 · Cited by 31 · see citing works
Lubricant‐Coated Organ‐on‐a‐Chip for Enhanced Precision in Preclinical Drug Testing
Kim, T. Y., Choi, J., Park, K., Kim, S., Kim, J. F., Park, T., & Seo, J. (2024) · Small · doi:10.1002/smll.202402431 · Cited by 32 · see citing works
Dietary mycotoxin exposure and human health risks: A protocol for a systematic review
Goessens, T., Michailidis, T. M., Tesfamariam, K., Truong, N. N., Vertriest, F., Bader, Y., Saeger, S. D., Lachat, C. K., & Boevre, M. D. (2024) · Environment International · doi:10.1016/j.envint.2024.108456 · Cited by 32 · see citing works
Microfluidics in High-Throughput Drug Screening: Organ-on-a-Chip and C. elegans-Based Innovations
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Of men and mice: Human X-linked retinoschisis and fidelity in mouse modeling
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“Furthermore, achieving consistent efficacy in humans is a challenge owing to interindividual variability in physiology, disease pathology and environmental factors 195 .”
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“Paracetamol is toxic to dogs and cats, aspirin causes embryo toxicity in rats and rhesus monkeys, while penicillin is fatal to guinea pigs (Gayvert et al., 2016; Van Norman, 2019).”
BackgroundAlternative experimental approaches to reduce animal use in biomedical studies
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- Authors
- Van Norman, G. A.
- Venue
- JACC: Basic to Translational Science
- Publisher
- Elsevier BV
- Published
- 2019-11
- Volume
- 4
- Issue
- 7
- Pages
- 845-854
- ISSN
- 2452-302X (ISSN-L)
- PMC
- PMC6978558
- OpenAlex
- W2990376563
- Semantic Scholar
- a2a9d2d371770e1ed07ef2f37ee2de2649caa0c0
- Cited by
- 709
- References
- 118
- Citations by year
- 2026: 105 · 2025: 143 · 2024: 155 · 2023: 103 · 2022: 104 · 2021: 59 · 2020: 20
- FWCI
- 56.78
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- JACC Basic to Translational Science (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- PubMed Central (submittedVersion, cc-by-nc-nd)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Health Sciences › Veterinary › Small Animals › Animal testing and alternatives
- Life Sciences › Immunology and Microbiology › Immunology › Immunotoxicology and immune responses
- Health Sciences › Veterinary › Small Animals › Veterinary Pharmacology and Anesthesia
- Keywords
- animal experimentation, animal models, drug safety, translational research, alternatives to animal testing, clinical trials, drug development, drug approval delays
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-07.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-07.
Cited sources are checked by gpt-6-sol.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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