2023•Unpublished venueOpen access

Evaluating Study Design Rigor in Preclinical Cardiovascular Research: A Replication Study

Isaiah C. Jimenez, Gabrielle C. Montenegro, Keyana Zahiri, Damini Patel, Adrienne L. Mueller

Open full text 1 citations

Abstract

Abstract Background Methodological rigor is a major priority in preclinical cardiovascular research to ensure experimental reproducibility and high quality research. Lack of reproducibility results in diminished translation of preclinical discoveries into medical practice and wastes resources. In addition, lack of reproducibility fosters uncertainty in the public’s acceptance of reported research results. Methods We evaluate the reporting of rigorous methodological practices in preclinical cardiovascular research studies published in leading scientific journals by screening articles for the inclusion of the following key study design elements (SDEs): considering sex as a biological variable, randomization, blinding, and sample size power estimation. We have specifically chosen to screen for these SDEs across articles pertaining to preclinical cardiovascular research studies published between 2011 and 2021. Our study replicates and extends a study published in 2017 by Ramirez et al. We hypothesized that there would be higher SDE inclusion across preclinical studies over time, that preclinical studies that also include human and animal substudies within the same study will exhibit greater SDE inclusion than animal-only preclinical studies, and that there will be a difference in SDE usage between large and small animal models. Results Overall, inclusion of SDEs was low. 15.2% of animal only studies included both sexes as a biological variable, 30.4% included randomization, 32.1% included blinding, and 8.2% included sample size estimation. Incorporation of SDE in preclinical studies did not significantly increase over the ten year time period in the articles we assessed. Although the inclusion of sex as a biological variable increased over the 10 year time frame, that change was not significant (p=0.411, corrected p=8.22). These trends were consistent across journals. Reporting of randomization and sample size estimation differs significantly between animal and human substudies (corrected p=3.690e-06 and corrected p=7.252e-08, respectively.) Large animal studies had a significantly greater percentage of blinding reported when compared to small animal studies (corrected p=0.01.) Additionally, overall, large animal studies tended to have higher SDE usage. Conclusions In summary, evidence of methodological rigor varies substantially depending on the study type and model organisms used. Over the time period of 2011-2021, the reporting of SDEs within preclinical cardiovascular studies has not improved and suggests extensive evaluation of other SDEs used in cardiovascular research. Limited incorporation of SDEs within research hinders experimental reproducibility that is critical to future research.

About this research paper

What this paper is about

Abstract Background Methodological rigor is a major priority in preclinical cardiovascular research to ensure experimental reproducibility and high quality research. Lack of reproducibility results in diminished translation of preclinical discoveries into medical practice and wastes resources. In addition, lack of reproducibility fosters uncertainty in the public’s acceptance of reported research results. Methods We evaluate the reporting of rigorous methodological practices in preclinical cardiovascular research studies published in leading scientific journals by screening articles for the inclusion of the following key study design elements (SDEs): considering sex as a biological variable, randomization, blinding, and sample size power estimation. We have specifically chosen to screen for these SDEs across articles pertaining to preclinical cardiovascular research studies published between 2011 and 2021. Our study replicates and extends a study published in 2017 by Ramirez et al. We hypothesized that there would be higher SDE inclusion across preclinical studies over time, that preclinical studies that also include human and animal substudies within the same study will exhibit greater SDE inclusion than animal-only preclinical studies, and that there will be a difference in SDE usage between large and small animal models. Results Overall, inclusion of SDEs was low. 15.2% of animal only studies included both sexes as a biological variable, 30.4% included randomization, 32.1% included blinding, and 8.2% included sample size estimation. Incorporation of SDE in preclinical studies did not significantly increase over the ten year time period in the articles we assessed. Although the inclusion of sex as a biological variable increased over the 10 year time frame, that change was not significant (p=0.411, corrected p=8.22). These trends were consistent across journals. Reporting of randomization and sample size estimation differs significantly between animal and human substudies (corrected p=3.690e-06 and corrected p=7.252e-08, respectively.) Large animal studies had a significantly greater percentage of blinding reported when compared to small animal studies (corrected p=0.01.) Additionally, overall, large animal studies tended to have higher SDE usage. Conclusions In summary, evidence of methodological rigor varies substantially depending on the study type and model organisms used. Over the time period of 2011-2021, the reporting of SDEs within preclinical cardiovascular studies has not improved and suggests extensive evaluation of other SDEs used in cardiovascular research. Limited incorporation of SDEs within research hinders experimental reproducibility that is critical to future research.

Why it matters

OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Abstract Background Methodological rigor is a major priority in preclinical cardiovascular research to ensure experimental reproducibility and high quality research. Lack of reproducibility results in diminished translation of preclinical discoveries into medical practice and wastes resources. In addition, lack of reproducibility fosters uncertainty in the public’s acceptance of reported research results. Methods We evaluate the reporting of rigorous methodological practices in preclinical cardiovascular research studies published in leading scientific journals by screening articles for the inclusion of the following key study design elements (SDEs): considering sex as a biological variable, randomization, blinding, and sample size power estimation. We have specifically chosen to screen for these SDEs across articles pertaining to preclinical cardiovascular research studies published between 2011 and 2021. Our study replicates and extends a study published in 2017 by Ramirez et al. We hypothesized that there would be higher SDE inclusion across preclinical studies over time, that preclinical studies that also include human and animal substudies within the same study will exhibit greater SDE inclusion than animal-only preclinical studies, and that there will be a difference in SDE usage between large and small animal models. Results Overall, inclusion of SDEs was low. 15.2% of animal only studies included both sexes as a biological variable, 30.4% included randomization, 32.1% included blinding, and 8.2% included sample size estimation. Incorporation of SDE in preclinical studies did not significantly increase over the ten year time period in the articles we assessed. Although the inclusion of sex as a biological variable increased over the 10 year time frame, that change was not significant (p=0.411, corrected p=8.22). These trends were consistent across journals. Reporting of randomization and sample size estimation differs significantly between animal and human substudies (corrected p=3.690e-06 and corrected p=7.252e-08, respectively.) Large animal studies had a significantly greater percentage of blinding reported when compared to small animal studies (corrected p=0.01.) Additionally, overall, large animal studies tended to have higher SDE usage. Conclusions In summary, evidence of methodological rigor varies substantially depending on the study type and model organisms used. Over the time period of 2011-2021, the reporting of SDEs within preclinical cardiovascular studies has not improved and suggests extensive evaluation of other SDEs used in cardiovascular research. Limited incorporation of SDEs within research hinders experimental reproducibility that is critical to future research.

Key concepts: Replication (statistics), Research design, Engineering ethics, Research integrity, Psychology, Management science, Computer science, Medicine

Related papers

Back to paper searchBrowse research topicsOriginal source
Evaluating Study Design Rigor in Preclinical Cardiovascular Research: A Replication Study — Research Paper | ScholarLens