[Animal experiment] Lack of animal experiment data plagues biomedical research

  Two studies have revealed common flaws in animal test reports, which is the latest result of a series of critical biomedical studies.

  Ulrich Dirnagl of the Charit Medical School in Berlin, Germany, leads the team. Clinical trial reports from major medical journals usually mention the number of patients who died from analysis or died during the research process. These data are usually not reported. Or give up animals without explaining why. The research team recently reported in the "Public Science Library? Biology" in the United States that such mistakes can cause major deviations in the results. In a second study published in the same journal, a research team led by John Ioannidis, an epidemiologist at Stanford University, criticized the availability of data in biomedical papers and the lack of specific experimental reports. .. Ioanidis is always looking for more repeatable and transparent research.

  The Dirnagl team reviewed 100 reports, described 522 trials published between 2000 and 2013, and compared the number of animals reported in the "Methods and Results" section of this article. .. These experiments use dental animals to test treatments for cancer and stroke. Approximately two-thirds of the trials did not say whether the investigator gave up these animals for final analysis. In the research analysis, about 30% of the reported trials (53 trials) claimed to have abandoned dentin, but only 14 trials explained the reason. Researchers have used computer simulations to determine that these techniques can severely affect research results. If the research team is biased towards how biomedical scientists abandon animals, that is, if they exclude outliers that can provide extreme data value, then these results are statistically significant on the surface, but in fact, he said, he is more It may be found that this is caused by accidental factors. 4 times, and exaggerate the actual treatment effect by 175%.

  At the same time, the Ioannidis team analyzed a sample of random articles published on PubMed from 2000 to 2014. They found that none of the 268 biomedical papers provided complete data. Except for one paper, the other papers lacked the details needed by other researchers to replicate the research. Where. In 2000, more than 90% of analytical papers missed conflicts of interest declarations, compared with about one-third in 2014. "These major findings further demonstrate the challenges we face in improving the quality of biomedical research," said Malcolm McCloud, a stroke researcher and clinical trial design expert at the University of Edinburgh, UK.