Review
Clinical Neurology
Qi Sheng Phua, Lucy Lu, Marguerite Harding, Santosh Isaac Poonnoose Fracs, Fracs Alistair Jukes, Fracs-Son To
Summary: A systematic search for meta-analyses from the top neurosurgery journals found that although more than half of the articles assessed for publication bias, nearly half did not assess for it or did not make adjustments even when bias was present. This suggests that publication bias remains largely unaccounted for in neurosurgical meta-analyses.
Article
Clinical Neurology
Katie M. Lavigne, Jiaxuan Deng, Delphine Raucher-Chene, Adele Hotte-Meunier, Chloe Voyer, Lisa Sarraf, Martin Lepage, Genevieve Sauve
Summary: Psychiatric disorders are characterized by cognitive deficits and cognitive biases, which are associated with specific symptoms. While cognitive biases are present across diagnoses, their severity varies.
PROGRESS IN NEURO-PSYCHOPHARMACOLOGY & BIOLOGICAL PSYCHIATRY
(2024)
Article
Biodiversity Conservation
Sonia Llorente-Culebras, Richard J. Ladle, Ana M. C. Santos
Summary: One of the main strategies to reduce global loss of biodiversity is the establishment of protected areas. However, biodiversity knowledge is biased taxonomically and geographically, and there are shortfalls and biases in the research conducted in protected areas. Reducing these biases and shortfalls is essential for more effective use of limited conservation resources.
BIOLOGICAL CONSERVATION
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Burak Kocak, Elif Bulut, Osman Nuri Bayrak, Ahmet Arda Okumus, Omer Altun, Zeynep Borekci Arvas, Irem Kavukoglu
Summary: The purpose of this study was to conduct a meta-research of radiomics-related articles for the publication of negative results in top clinical radiology journals. After conducting a literature search, a random sample of 149 publications was included in the study. The findings revealed a strong bias towards publishing positive results and a lack of comparison with non-radiomic approaches in many publications.
EUROPEAN JOURNAL OF RADIOLOGY
(2023)
Review
Ecology
Shinichi Nakagawa, Malgorzata Lagisz, Michael D. Jennions, Julia Koricheva, Daniel W. A. Noble, Timothy H. Parker, Alfredo Sanchez-Tojar, Yefeng Yang, Rose E. O'Dea
Summary: Publication bias poses a significant threat to the validity of quantitative evidence in meta-analyses, with some findings being overrepresented due to publication frequency or timing. Current methods to detect publication bias are inadequate for datasets with high heterogeneity and non-independence, common in ecology and evolutionary biology. A new multilevel meta-regression method is proposed to address these challenges and provide practical recommendations for researchers in the field.
METHODS IN ECOLOGY AND EVOLUTION
(2022)
Article
Psychology, Applied
Magdalena Siegel, Junia Sophia Nur Eder, Jelte M. Wicherts, Jakob Pietschnig
Summary: While there is a trend toward higher awareness of bias, appropriate publication bias detection methods are still underused in the field of Industrial-Organizational Psychology, leading to concerning levels of potential bias that often go undetected.
JOURNAL OF APPLIED PSYCHOLOGY
(2022)
Review
Clinical Neurology
Priscila R. Toledo, Francisco Lotufo-Neto, Helen Verdeli, Alessandra C. Goulart, Andrea Horvath Marques, Ana Cristina de Oliveira Solis, Yuan-Pang Wang
Summary: The study compared the effects of different interventions on weight loss, binge eating behaviors, and depressive symptoms in patients with overweight/obesity and depression. The results showed that interpersonal psychotherapy (IPT) had some benefits for these patients compared to other interventions.
JOURNAL OF AFFECTIVE DISORDERS
(2023)
Article
Computer Science, Information Systems
Davit Marikyan, Savvas Papagiannidis, Gavin Stewart
Summary: This article conducted a meta-analysis of 693 papers to comprehensively analyze the factors and effects of technology acceptance. The results showed that there were 21 independent predictors with differential effects on attitude, intention, and use behavior, depending on the theoretical frameworks. The analysis also revealed significant variances in predictors across research applications and journals, indicating publication bias towards studies with significant results, but no evidence of p-value manipulation.
JOURNAL OF INFORMATION SCIENCE
(2023)
Article
Mathematical & Computational Biology
Maya B. Mathur, Tyler J. VanderWeele
Summary: This study analyzed publication bias in 63 meta-analyses and found that significant results in the expected direction were not significantly more likely to be published than non-significant results or those in the unexpected direction. There was no indication of more publication bias in higher-tier journals compared to lower-tier journals, or in earlier studies compared to later studies.
RESEARCH SYNTHESIS METHODS
(2021)
Article
Mathematical & Computational Biology
Frantisek Bartos, Maximilian Maier, Eric-Jan Wagenmakers, Hristos Doucouliagos, T. D. Stanley
Summary: Publication bias is a significant threat to the validity of meta-analysis. Multiple methods have been developed to address this issue, but their performance depends on the data generating process. To overcome this problem, we propose a robust Bayesian meta-analysis and model-averaging approach that combines two prominent methods of adjusting for publication bias. This approach provides a more reliable estimation of the effect and evidence for its presence or absence.
RESEARCH SYNTHESIS METHODS
(2023)
Article
Mathematical & Computational Biology
Chongliang Luo, Arielle Marks-Anglin, Rui Duan, Lifeng Lin, Chuan Hong, Haitao Chu, Yong Chen
Summary: In this study, a bivariate trim and fill procedure is proposed to account for publication bias in meta-analyses with two possibly associated outcomes. The method uses a data-driven imputation algorithm based on a galaxy plot for bivariate meta-analysis. It projects bivariate outcomes along a particular direction, estimates the number of trimmed and filled studies using the univariate trim and fill method, and yields consistent conclusions about publication bias.
STATISTICS IN MEDICINE
(2022)
Review
Mathematical & Computational Biology
Matthew J. Page, Jonathan A. C. Sterne, Julian P. T. Higgins, Matthias Egger
Summary: Bias in meta-analysis may occur when available results differ systematically from missing results. Various tools, plots, and statistical methods have been designed to assess risk of bias due to missing results in meta-analyses of health research, including comparing prespecified analysis plans with completed reports to detect selective nonreporting of results and using funnel plots to identify small-study effects caused by reporting bias. Information from funnel plots and selection models may be more difficult to interpret compared to objective approaches like detecting incompletely reported results with available analysis plans.
RESEARCH SYNTHESIS METHODS
(2021)
Article
Business, Finance
Thi Mai Lan Nguyen, Elissaios Papyrakis, Peter A. G. van Bergeijk
Summary: Based on 43 studies conducted between 2001 and 2019, this research finds that increasing policy interest rates is effective in controlling inflation in emerging and developing countries. However, the genuine price effects in advanced countries are stronger compared to those in emerging and developing countries.
INTERNATIONAL REVIEW OF ECONOMICS & FINANCE
(2021)
Article
Infectious Diseases
Jack M. Lawrence, Manya Mirchandani, Andrew Hill
Summary: In response to the COVID-19 pandemic, MSD acquired global licensing rights for molnupiravir and promised affordable access. Trials of the drug were conducted by Indian pharmaceutical companies, but only limited data have been published, showing unexplained results inconsistent with other trials. A meta-analysis of four studies concluded that molnupiravir does not significantly benefit hospitalizations.
JOURNAL OF ANTIMICROBIAL CHEMOTHERAPY
(2023)
Review
Clinical Neurology
Stefano Damiani, Alberto Donadeo, Nicola Bassetti, Gonzalo Salazar-de-Pablo, Cecilia Guiot, Pierluigi Politi, Paolo Fusar-Poli
Summary: This systematic review compared source monitoring (SM) subtypes in psychosis patients with and without hallucinations and healthy controls. The results showed impaired performance in SM in psychosis patients, specifically in internal monitoring and imagined stimuli. Patients with hallucinations also displayed deficits in external monitoring and imagined/auditory errors. These findings provide evidence-based indications for future studies.
PSYCHIATRY AND CLINICAL NEUROSCIENCES
(2022)
