Literature DB >> 14655720

Evaluation of historical control data in carcinogenicity studies.

H Greim1, H P Gelbke, U Reuter, H W Thielmann, L Edler.   

Abstract

Results obtained in long-term carcinogenicity studies with animals should be evaluated, first and foremost, by statistical comparisons of the data obtained from the treated group with that from the concurrent control group. Often the results are compared with data from so-called historical control groups in order to take variations in the incidences of spontaneous tumours into account. Because historical control data change in the course of time and for a variety of reasons, certain requirements must be met before they may be used in the evaluation of the results of long-term studies. The present paper discusses potential sources of variability of tumour incidences in untreated animals, presents databanks for historical control data, mentions the factors that affect tumour incidences in untreated animals and describes biostatistical data evaluation. Finally, details are given of the criteria used by the DFG Commission for the Investigation of Health Hazards of Chemical Compounds in the Work Area to decide whether historical control data may be applied. These include the requirement that the historical control data were obtained with animals of the same species and strain and from the same breeder. The data were obtained in the same laboratory, the study design, experimental methods and assessment criteria were the same, and the studies used for the comparison were carried out within a limited time window. Historical control data that have not been published may be used provided they fulfil the above criteria and have been made available in sufficient detail to be comprehensible.

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Year:  2003        PMID: 14655720     DOI: 10.1191/0960327103ht394oa

Source DB:  PubMed          Journal:  Hum Exp Toxicol        ISSN: 0960-3271            Impact factor:   2.903


  8 in total

1.  Comparison of NTP historical control tumor incidence rates in female Harlan Sprague Dawley and Fischer 344/N Rats.

Authors:  Gregg E Dinse; Shyamal D Peddada; Shawn F Harris; Susan A Elmore
Journal:  Toxicol Pathol       Date:  2010-07-09       Impact factor: 1.902

2.  DETERMINING DISEASE CAUSALITY FROM EXPERIMENTAL TOXICOLOGY STUDIES.

Authors:  Ronald L Melnick; John R Bucher
Journal:  J Law Policy       Date:  2005

3.  Incorporating Historical Control Data When Comparing Tumor Incidence Rates.

Authors:  Shyamal D Peddada; Gregg E Dinse; Grace E Kissling
Journal:  J Am Stat Assoc       Date:  2007-01-01       Impact factor: 5.033

Review 4.  New Evidences about the Carcinogenic Effects of Ochratoxin A and Possible Prevention by Target Feed Additives.

Authors:  Stoycho D Stoev
Journal:  Toxins (Basel)       Date:  2022-05-30       Impact factor: 5.075

5.  Occurrence of Spontaneous Tumors in the Central Nervous System (CNS) of F344 and SD Rats.

Authors:  Mariko Nagatani; Kayoko Kudo; Seiki Yamakawa; Toko Ohira; Yuko Yamaguchi; Shinichiro Ikezaki; Isamu Suzuki; Tsubasa Saito; Toru Hoshiya; Kazutoshi Tamura; Kazuyuki Uchida
Journal:  J Toxicol Pathol       Date:  2013-10-15       Impact factor: 1.628

6.  A common control group - optimising the experiment design to maximise sensitivity.

Authors:  Simon Bate; Natasha A Karp
Journal:  PLoS One       Date:  2014-12-11       Impact factor: 3.240

Review 7.  Glyphosate toxicity and carcinogenicity: a review of the scientific basis of the European Union assessment and its differences with IARC.

Authors:  Jose V Tarazona; Daniele Court-Marques; Manuela Tiramani; Hermine Reich; Rudolf Pfeil; Frederique Istace; Federica Crivellente
Journal:  Arch Toxicol       Date:  2017-04-03       Impact factor: 5.153

8.  Differences in the carcinogenic evaluation of glyphosate between the International Agency for Research on Cancer (IARC) and the European Food Safety Authority (EFSA).

Authors:  Christopher J Portier; Bruce K Armstrong; Bruce C Baguley; Xaver Baur; Igor Belyaev; Robert Bellé; Fiorella Belpoggi; Annibale Biggeri; Maarten C Bosland; Paolo Bruzzi; Lygia Therese Budnik; Merete D Bugge; Kathleen Burns; Gloria M Calaf; David O Carpenter; Hillary M Carpenter; Lizbeth López-Carrillo; Richard Clapp; Pierluigi Cocco; Dario Consonni; Pietro Comba; Elena Craft; Mohamed Aqiel Dalvie; Devra Davis; Paul A Demers; Anneclaire J De Roos; Jamie DeWitt; Francesco Forastiere; Jonathan H Freedman; Lin Fritschi; Caroline Gaus; Julia M Gohlke; Marcel Goldberg; Eberhard Greiser; Johnni Hansen; Lennart Hardell; Michael Hauptmann; Wei Huang; James Huff; Margaret O James; C W Jameson; Andreas Kortenkamp; Annette Kopp-Schneider; Hans Kromhout; Marcelo L Larramendy; Philip J Landrigan; Lawrence H Lash; Dariusz Leszczynski; Charles F Lynch; Corrado Magnani; Daniele Mandrioli; Francis L Martin; Enzo Merler; Paola Michelozzi; Lucia Miligi; Anthony B Miller; Dario Mirabelli; Franklin E Mirer; Saloshni Naidoo; Melissa J Perry; Maria Grazia Petronio; Roberta Pirastu; Ralph J Portier; Kenneth S Ramos; Larry W Robertson; Theresa Rodriguez; Martin Röösli; Matt K Ross; Deodutta Roy; Ivan Rusyn; Paulo Saldiva; Jennifer Sass; Kai Savolainen; Paul T J Scheepers; Consolato Sergi; Ellen K Silbergeld; Martyn T Smith; Bernard W Stewart; Patrice Sutton; Fabio Tateo; Benedetto Terracini; Heinz W Thielmann; David B Thomas; Harri Vainio; John E Vena; Paolo Vineis; Elisabete Weiderpass; Dennis D Weisenburger; Tracey J Woodruff; Takashi Yorifuji; Il Je Yu; Paola Zambon; Hajo Zeeb; Shu-Feng Zhou
Journal:  J Epidemiol Community Health       Date:  2016-03-03       Impact factor: 3.710

  8 in total

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