Errors and Misconduct in Scientific Publications in the Biomedical Sciences: A Narrative Review

Authors

DOI:

https://doi.org/10.54495/Rev.Cientifica.v32i2.419

Keywords:

Biostatistics, scientific publication ethics, scientific misconduc, journal article, Biomedical research

Abstract

Methodological errors and malpractice in scientific publications compromise the validity and utility of research in the biomedical sciences. A lack of rigor in study design, data analysis, and result reporting contributes to bias and erroneous conclusions, ultimately affecting clinical decision-making. This article presents a structured narrative review of the scientific literature on the main methodological, statistical, and ethical errors in scientific publications, distinguishing between unintentional mistakes, negligence, and fraudulent practices. Key factors influencing publication quality are analyzed, including proper study planning, appropriate sample size determination, and the correct application of statistical tools. The issue of publication bias and the distinction between statistical and clinical significance are discussed, emphasizing that a study’s validity is not solely dependent on the presence of statistically significant p-values. Additionally, common fraudulent practices such as data fabrication and plagiarism are examined, along with their impact on the credibility of science. Finally, the importance of critical reading of scientific literature is highlighted, as well as the development of skills to evaluate the quality and applicability of research findings in clinical practice.

 

Downloads

Download data is not yet available.

References

Argimon, J., & Jiménez, J. (2019). Métodos de investigación clínica y epidemiológica (5th ed.). Elsevier España.

Armijo-Olivo, S. (2018). The importance of determining the clinical significance of research results in physical therapy clinical research. Brazilian Journal of Physical Therapy, 22(3), 175–176. https://doi.org/10.1016/j.bjpt.2018.02.001

Baker, M. (2016). Statisticians issue warning over misuse of P values. Nature, 531(7593), 151–151. https://doi.org/10.1038/nature.2016.19503

Bakker, M., & Wicherts, J. M. (2011). The (mis)reporting of statistical results in psychology journals. Behavior Research Methods, 43(3), 666–678. https://doi.org/10.3758/s13428-011-0089-5

Barkan, H. (2015). Statistics in clinical research: Important considerations. Annals of Cardiac Anaesthesia, 18(1), 74. https://doi.org/10.4103/0971-9784.148325

Barraza, F., Arancibia, M., Madrid, E., & Papuzinski, C. (2019). General concepts in biostatistics and clinical epidemiology: Random error and systematic error. Medwave, 19(07), e7687–e7687. https://doi.org/10.5867/medwave.2019.07.7687

Barton, B., & Peat, J. (2014). Medical Statistics: A Guide to SPSS, data analysis and critical appraisal (2nd ed.). BMJ Books.

Buccheri, R. K., & Sharifi, C. (2017). Critical Appraisal Tools and Reporting Guidelines for Evidence-Based Practice. Worldviews on Evidence-Based Nursing, 14(6), 463–472. https://doi.org/10.1111/wvn.12258

Clark, G. T., & Mulligan, R. (2011). Fifteen common mistakes encountered in clinical research. Journal of Prosthodontic Research, 55(1), 1–6. https://doi.org/10.1016/j.jpor.2010.09.002

Djulbegovic, B., & Guyatt, G. H. (2017). Progress in evidence-based medicine: a quarter century on. The Lancet, 390(10092), 415–423. https://doi.org/10.1016/S0140-6736(16)31592-6

Dumas-Mallet, E., Button, K. S., Boraud, T., Gonon, F., & Munafò, M. R. (2017). Low statistical power in biomedical science: a review of three human research domains. Royal Society Open Science, 4(2), 160254. https://doi.org/10.1098/rsos.160254

Elliott, K. C., & Resnik, D. B. (2015). Scientific Reproducibility, Human Error, and Public Policy. Bioscience, 65(1), 5–6. https://doi.org/10.1093/biosci/biu197

Fang, F. C., Steen, R. G., & Casadevall, A. (2012). Misconduct accounts for the majority of retracted scientific publications. Proceedings of the National Academy of Sciences, 109(42), 17028–17033. https://doi.org/10.1073/pnas.1212247109

Fleming, P. S., Koletsi, D., Seehra, J., & Pandis, N. (2014). Systematic reviews published in higher impact clinical journals were of higher quality. Journal of Clinical Epidemiology, 67(7), 754–759. https://doi.org/10.1016/j.jclinepi.2014.01.002

Fletcher, R., Fletcher, S., & Wagner, E. (1998). Epidemiología Clínica: Aspectos fundamentales (2nd ed.). Masson.

Fritz, C. O., Morris, P. E., & Richler, J. J. (2012). Effect size estimates: Current use, calculations, and interpretation. Journal of Experimental Psychology: General, 141(1), 2–18. https://doi.org/10.1037/a0024338

Garba, S., Ahmed, A., Mai, A., Makama, G., & Odigie, V. (2010). Proliferations of scientific medical journals: a burden or a blessing. Oman Medical Journal, 25(4), 311–314. https://doi.org/10.5001/omj.2010.89

Goldkuhle, M., Narayan, V. M., Weigl, A., Dahm, P., & Skoetz, N. (2018). A systematic assessment of Cochrane reviews and systematic reviews published in high-impact medical journals related to cancer. BMJ Open, 8(3), e020869. https://doi.org/10.1136/bmjopen-2017-020869

Goodman, S. N. (1994). The Use of Predicted Confidence Intervals When Planning Experiments and the Misuse of Power When Interpreting Results. Annals of Internal Medicine, 121(3), 200. https://doi.org/10.7326/0003-4819-121-3-199408010-00008

Gøtzsche, P. C. (1989). Methodology and overt and hidden bias in reports of 196 double-blind trials of nonsteroidal antiinflammatory drugs in rheumatoid arthritis. Controlled Clinical Trials, 10(1), 31–56. https://doi.org/10.1016/0197-2456(89)90017-2

Grech, V., & Eldawlatly, A. A. (2024). STROBE, CONSORT, PRISMA, MOOSE, STARD, SPIRIT, and other guidelines - Overview and application. Saudi Journal of Anaesthesia, 18(1), 137–141. https://doi.org/10.4103/sja.sja_545_23

Greenberg, R., Daniels, S., Flanders, D., Eley, W., & Boring, J. (2006). Epidemiología médica (4th ed.). Manual Moderno.

Greenhalgh, T. (2014). Cómo leer un artículo científico. Las bases de la medicina basada en la evidencia (5th ed.). Elsevier.

Hulley, S., Cummings, S., Browner, W., Grady, D., & Newman, T. (2014). Diseño de Investigaciones Clínicas (4th ed.). Wolters Kluwer.

Indrayan, A., & Holt, M. P. (2016). Concise Encyclopedia of Biostatistics for Medical Professionals. Chapman and Hall/CRC. https://doi.org/10.1201/9781315372891

Ioannidis, J. P. A. (2005). Why Most Published Research Findings Are False. PLoS Medicine, 2(8), e124. https://doi.org/10.1371/journal.pmed.0020124

Ioannidis, J. P. A. (2016). Why Most Clinical Research Is Not Useful. PLOS Medicine, 13(6), e1002049. https://doi.org/10.1371/journal.pmed.1002049

Jiménez, J., & Argimon, J. (2016). Publicación científica biomédica. Cómo escribir y publicar un artículo de investigación (2nd ed.). Elsevier.

Kahwati, L., Carmody, D., Berkman, N., Sullivan, H. W., Aikin, K. J., & DeFrank, J. (2017). Prescribers’ Knowledge and Skills for Interpreting Research Results: A Systematic Review. Journal of Continuing Education in the Health Professions, 37(2), 129–136. https://doi.org/10.1097/CEH.0000000000000150

Lang, T. A., & Altman, D. G. (2015). Basic statistical reporting for articles published in Biomedical Journals: The “Statistical Analyses and Methods in the Published Literature” or the SAMPL Guidelines. International Journal of Nursing Studies, 52(1), 5–9. https://doi.org/10.1016/j.ijnurstu.2014.09.006

Lemus, J., Aragües, V., & Lucioni, M. (2013). Salud Pública y Atención Primaria de la Salud. Corpus.

Ma, L.-L., Wang, Y.-Y., Yang, Z.-H., Huang, D., Weng, H., & Zeng, X.-T. (2020). Methodological quality (risk of bias) assessment tools for primary and secondary medical studies: what are they and which is better? Military Medical Research, 7(1), 7. https://doi.org/10.1186/s40779-020-00238-8

Mansournia, M. A., Collins, G. S., Nielsen, R. O., Nazemipour, M., Jewell, N. P., Altman, D. G., & Campbell, M. J. (2021). A CHecklist for statistical Assessment of Medical Papers (the CHAMP statement): explanation and elaboration. British Journal of Sports Medicine, 55(18), 1009.2-1017. https://doi.org/10.1136/bjsports-2020-103652

Martínez González, M. Á., Sánchez-Villegas, A., Toledo Atucha, E., & Faulin Fajardo, J. (2020). Bioestadística amigable (4th ed.). Elsevier.

Monsarrat, P., & Vergnes, J.-N. (2018). The intriguing evolution of effect sizes in biomedical research over time: smaller but more often statistically significant. GigaScience, 7(1). https://doi.org/10.1093/gigascience/gix121

Nair, A. (2019). Publication bias - Importance of studies with negative results! Indian Journal of Anaesthesia, 63(6), 505. https://doi.org/10.4103/ija.IJA_142_19

Nath, S. B., Marcus, S. C., & Druss, B. G. (2006). Retractions in the research literature: misconduct or mistakes? Medical Journal of Australia, 185(3), 152–154. https://doi.org/10.5694/j.1326-5377.2006.tb00504.x

National Academy of Sciences Engineering and Medicine. (1995). On Being a Scientist. National Academies Press. https://doi.org/10.17226/4917

Pagano, M., Gauvreau, K., & Mattie, H. (2022). Principles of Biostatistics (3rd ed.). Chapman and Hall/CRC. https://doi.org/10.1201/9780429340512

Pascual, A., & Martínez, L. (2016). Mala conducta y conflicto de intereses en las publicaciones científicas. In J. Jiménez, J. Argimon, A. Martín, & M. Vilardell (Eds.), Publicación científica biomédica. Cómo escribir y publicar un artículo de investigación (2nd ed.). Elsevier.

Prieto, L., & Herranz, I. (2010). Bioestadística sin dificultades matemáticas: En busca de tesoros escondidos. Ediciones Díaz de Santos.

Riegelman, R., & Hirsh, R. (1992). Cómo estudiar un estudio y probar una prueba: lectura crítica de la literatura médica. Organización Panamericana de la Salud. https://iris.paho.org/handle/10665.2/3309

Ruiz, A., & Morillo, L. (2004). Epidemiología Clínica: Investigación clínica aplicada. Editorial Médica Panamericana.

Sasannia, S., Amini, M., Moosavi, M., Askarinejad, A., Moghadami, M., Ziaee, H., & Vara, F. (2022). Critical appraisal skills training to undergraduate medical students: A Randomized Control Study. Journal of Advances in Medical Education & Professionalism, 10(4), 253–258. https://doi.org/10.30476/JAMP.2022.94852.1610

Seife, C. (2015). Research Misconduct Identified by the US Food and Drug Administration. JAMA Internal Medicine, 175(4), 567. https://doi.org/10.1001/jamainternmed.2014.7774

Shapin, S. (1995). Trust, Honesty, and the Authority of Science. In Institute of Medicine (US) & Committe on the Social and Ethical Impacts of Developments (Eds.), Society’s Choices: Social and Ethical Decision Making in Biomedicine. National Academies Press. https://doi.org/10.17226/4771

Sharma, H. (2021). Statistical significance or clinical significance? A researcher’s dilemma for appropriate interpretation of research results. Saudi Journal of Anaesthesia, 15(4), 431–434. https://doi.org/10.4103/sja.sja_158_21

Silva-Aycaguer, L. C. (2016). Las pruebas de significación estadística: seis décadas de fuegos artificiales. Revista Facultad Nacional de Salud Pública, 34(3). https://doi.org/10.17533/udea.rfnsp.v34n3a11

Silva Aycaguer, L. C. (2018). Errores metodológicos frecuentes en la investigación clínica. Medicina Intensiva, 42(9), 541–546. https://doi.org/10.1016/j.medin.2017.12.012

Slutsky, D. (2013). Statistical Errors in Clinical Studies. Journal of Wrist Surgery, 02(04), 285–287. https://doi.org/10.1055/s-0033-1359421

Smith, R. (2006). The trouble with medical journals. Journal of the Royal Society of Medicine, 99(3), 115–119. https://doi.org/10.1258/jrsm.99.3.115

Strasak, A. M., Zaman, Q., Pfeiffer, K. P., Göbel, G., Ulmer, H., Gobel, G., & Ulmer, H. (2007). Statistical errors in medical research - a review of common pitfalls. Swiss Medical Weekly, 137(3–4), 44–49. https://doi.org/10.4414/smw.2007.11587

Straus, S., Glasziou, P., Richardson, S., & Haynes, B. (2019). Medicina basada en la evidencia. Cómo practicar y enseñar la MBE (5th ed.). Elservier.

Subramanyam, R. (2013). Art of reading a journal article: Methodically and effectively. Journal of Oral and Maxillofacial Pathology : JOMFP, 17(1), 65–70. https://doi.org/10.4103/0973-029X.110733

Suresh, K., & Chandrashekara, S. (2012). Sample size estimation and power analysis for clinical research studies. Journal of Human Reproductive Sciences, 5(1), 7. https://doi.org/10.4103/0974-1208.97779

Tong, C. (2019). Statistical Inference Enables Bad Science; Statistical Thinking Enables Good Science. The American Statistician, 73(sup1), 246–261. https://doi.org/10.1080/00031305.2018.1518264

Van Noorden, R. (2011). Science publishing: The trouble with retractions. Nature, 478(7367), 26–28. https://doi.org/10.1038/478026a

Weigmann, K. (2005). The consequence of errors. EMBO Reports, 6(4), 306–309. https://doi.org/10.1038/sj.embor.7400389

Wood, S., Paulis, J., & Chen, A. (2022). Emergency physicians’ perceptions of critical appraisal skills: a qualitative study. BMC Medical Education, 22(1), 287. https://doi.org/10.1186/s12909-022-03358-y

Young, J. M., & Solomon, M. J. (2009). How to critically appraise an article. Nature Clinical Practice Gastroenterology & Hepatology, 6(2), 82–91. https://doi.org/10.1038/ncpgasthep1331

Zar, J. (2014). Biostatistical Analysis (5th ed.). Pearson Education Limited.

Published

2025-04-30

How to Cite

Chocó Cedillos, A. (2025). Errors and Misconduct in Scientific Publications in the Biomedical Sciences: A Narrative Review. Revista Científica, 32(2). https://doi.org/10.54495/Rev.Cientifica.v32i2.419

Issue

Section

Review Papers

Similar Articles

1 2 3 4 5 6 7 8 9 10 > >> 

You may also start an advanced similarity search for this article.