BACKGROUND: Autologous bone marrow stem cell therapy is the greatest advance in the treatment of heart disease for a generation according to pioneering reports. In response to an unanswered letter regarding one of the largest and most promising trials, we attempted to summarise the findings from the most innovative and prolific laboratory. METHOD AND RESULTS: Amongst 48 reports from the group, there appeared to be 5 actual clinical studies ("families" of reports). Duplicate or overlapping reports were common, with contradictory experimental design, recruitment and results. Readers cannot always tell whether a study is randomised versus not, open-controlled or blinded placebo-controlled, or lacking a control group. There were conflicts in recruitment dates, criteria, sample sizes, million-fold differences in cell counts, sex reclassification, fractional numbers of patients and conflation of competitors' studies with authors' own. Contradictory results were also common. These included arithmetical miscalculations, statistical errors, suppression of significant changes, exaggerated description of own findings, possible silent patient deletions, fractional numbers of coronary arteries, identical results with contradictory sample sizes, contradictory results with identical sample sizes, misrepresented survival graphs and a patient with a negative NYHA class. We tabulate over 200 discrepancies amongst the reports. The 5 family-flagship papers (Strauer 2002, STAR, IACT, ABCD, BALANCE) have had 2665 citations. Of these, 291 citations were to the pivotal STAR or IACT-JACC papers, but 97% of their eligible citing papers did not mention any discrepancies. Five meta-analyses or systematic reviews covered these studies, but none described any discrepancies and all resolved uncertainties by undisclosed methods, in mutually contradictory ways. Meta-analysts disagreed whether some studies were randomised or "accepter-versus-rejecter". Our experience of presenting the discrepancies to journals is that readers may remain unaware of such problems. CONCLUSIONS: Modern reporting of clinical research can still be imperfect. The scientific literature absorbs such reports largely uncritically. Even meta-analyses seem to resolve contradictions haphazardly. Discrepancies communicated to journals are not guaranteed to reach the scientific community. Journals could consider prioritising systematic reporting of queries even if seemingly minor, and establishing a policy of "habeas data".
BACKGROUND: Autologous bone marrow stem cell therapy is the greatest advance in the treatment of heart disease for a generation according to pioneering reports. In response to an unanswered letter regarding one of the largest and most promising trials, we attempted to summarise the findings from the most innovative and prolific laboratory. METHOD AND RESULTS: Amongst 48 reports from the group, there appeared to be 5 actual clinical studies ("families" of reports). Duplicate or overlapping reports were common, with contradictory experimental design, recruitment and results. Readers cannot always tell whether a study is randomised versus not, open-controlled or blinded placebo-controlled, or lacking a control group. There were conflicts in recruitment dates, criteria, sample sizes, million-fold differences in cell counts, sex reclassification, fractional numbers of patients and conflation of competitors' studies with authors' own. Contradictory results were also common. These included arithmetical miscalculations, statistical errors, suppression of significant changes, exaggerated description of own findings, possible silent patient deletions, fractional numbers of coronary arteries, identical results with contradictory sample sizes, contradictory results with identical sample sizes, misrepresented survival graphs and a patient with a negative NYHA class. We tabulate over 200 discrepancies amongst the reports. The 5 family-flagship papers (Strauer 2002, STAR, IACT, ABCD, BALANCE) have had 2665 citations. Of these, 291 citations were to the pivotal STAR or IACT-JACC papers, but 97% of their eligible citing papers did not mention any discrepancies. Five meta-analyses or systematic reviews covered these studies, but none described any discrepancies and all resolved uncertainties by undisclosed methods, in mutually contradictory ways. Meta-analysts disagreed whether some studies were randomised or "accepter-versus-rejecter". Our experience of presenting the discrepancies to journals is that readers may remain unaware of such problems. CONCLUSIONS: Modern reporting of clinical research can still be imperfect. The scientific literature absorbs such reports largely uncritically. Even meta-analyses seem to resolve contradictions haphazardly. Discrepancies communicated to journals are not guaranteed to reach the scientific community. Journals could consider prioritising systematic reporting of queries even if seemingly minor, and establishing a policy of "habeas data".
Authors: Vahid Serpooshan; Mingming Zhao; Scott A Metzler; Ke Wei; Parisha B Shah; Andrew Wang; Morteza Mahmoudi; Andrey V Malkovskiy; Jayakumar Rajadas; Manish J Butte; Daniel Bernstein; Pilar Ruiz-Lozano Journal: Biomaterials Date: 2013-08-30 Impact factor: 12.479
Authors: Paul Monsarrat; Jean-Noel Vergnes; Valérie Planat-Bénard; Philippe Ravaud; Philippe Kémoun; Luc Sensebé; Louis Casteilla Journal: Stem Cells Transl Med Date: 2016-04-13 Impact factor: 6.940
Authors: Mariann Gyöngyösi; Wojciech Wojakowski; Patricia Lemarchand; Ketil Lunde; Michal Tendera; Jozef Bartunek; Eduardo Marban; Birgit Assmus; Timothy D Henry; Jay H Traverse; Lemuel A Moyé; Daniel Sürder; Roberto Corti; Heikki Huikuri; Johanna Miettinen; Jochen Wöhrle; Slobodan Obradovic; Jérome Roncalli; Konstantinos Malliaras; Evgeny Pokushalov; Alexander Romanov; Jens Kastrup; Martin W Bergmann; Douwe E Atsma; Axel Diederichsen; Istvan Edes; Imre Benedek; Theodora Benedek; Hristo Pejkov; Noemi Nyolczas; Noemi Pavo; Jutta Bergler-Klein; Imre J Pavo; Christer Sylven; Sergio Berti; Eliano P Navarese; Gerald Maurer Journal: Circ Res Date: 2015-02-19 Impact factor: 17.367
Authors: Mariangela Peruzzi; Elena De Falco; Antonio Abbate; Giuseppe Biondi-Zoccai; Isotta Chimenti; Marzia Lotrionte; Umberto Benedetto; Ronak Delewi; Antonino G M Marullo; Giacomo Frati Journal: Biomed Res Int Date: 2015-06-15 Impact factor: 3.411
Authors: Graham D Cole; Matthew J Shun-Shin; Alexandra N Nowbar; Kevin G Buell; Faisal Al-Mayahi; David Zargaran; Saliha Mahmood; Bharpoor Singh; Michael Mielewczik; Darrel P Francis Journal: Int J Epidemiol Date: 2015-07-13 Impact factor: 7.196
Authors: Michael R Rosen; Robert J Myerburg; Darrel P Francis; Graham D Cole; Eduardo Marbán Journal: J Am Coll Cardiol Date: 2014-09-02 Impact factor: 24.094