Studies with negative results are less likely to be published than others, potentially leading to publication bias. Introduced in 2000, trial registration could have participated in decreasing the proportion of unpublished studies. We assessed the proportion of negative randomized controlled trials (RCT) over the last 20 years. We searched Medline for RCT published in 2000, 2005, 2010, 2015, and 2020 in the British Medical Journal, the Journal of the American Medical Association, the Lancet, and the New England Journal of Medicine. The primary endpoint was the proportion of negative (final comparison on the primary study-endpoint without statistical significance or favoring the control arm) studies published in 2000 and 2020. Factors independently associated with the publication of negative studies were identified using multivariable analysis. A total of 1,542 studies were included. The proportion of negative RCT significantly increased between 2000 and 2020 (from 27.6% to 37.4%; P = 0.01), however, the trend over time was not significant (P = 0.203). In multivariable analysis, the following factors were associated with a higher proportion of published negative studies: superiority (P < 0.001), two-group trials (P < 0.001), number of patients ≥510 (P < 0.001), cardiology trials (P = 0.003), emergency/critical care trials (P < 0.001), obstetrics trials (P = 0.032), surgery trials (P = 0.006), pneumology trials (P = 0.029). Exclusive industry funding was associated with a lower proportion of published negative studies (P < 0.001). The proportion of published negative studies in 2020 was higher only when compared to 2000. During the two decades, no trend was noticeable. There is no clear relationship between trial registration and the publication of negative results over time.
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http://dx.doi.org/10.1002/cpt.3535 | DOI Listing |
PLOS Glob Public Health
January 2025
Public Health Agency of Sweden, Solna, Sweden.
Acute SARS-CoV-2 infections are not always diagnosed; hence an unknown proportion of all infections are not documented. SARS-CoV-2 can induce spike and nucleocapsid protein specific IgG antibodies, which can be detected in seroprevalence studies to identify a previous infection. However, with the introduction of vaccines containing the spike protein it is no longer possible to use spike-IgG as a marker of infection.
View Article and Find Full Text PDFPLoS One
January 2025
School of Medicine and Health Sciences, Mulungushi University, Livingstone, Zambia.
Background: Trauma is a major global public health issue, with an annual death toll of approximately 5 million, disproportionately affecting low- and middle-income countries. Zambia bears a significant burden of trauma-related mortalities, contributing to 7% of all annual deaths and 1 in 5 premature deaths in the country. Despite the significant burden of trauma in our country, few studies have been conducted, with most focusing on high-population centers, and there is a lack of epidemiological data on trauma-related deaths in our region.
View Article and Find Full Text PDFJMIR Form Res
December 2024
Northwestern University Feinberg School of Medicine, 625 N. Michigan Avenue, Suite 2700, Chicago, IL 60611, Chicago, US.
Background: Patient-reported outcome measures (PROMs) are crucial for informed medical decisions and evaluating treatments. However, they can be burdensome for patients and sometimes lack the reliability clinicians need for clear clinical interpretations.
Objective: Patient-reported outcome measures (PROMs) are crucial for informed medical decisions and evaluating treatments.
Cogn Emot
January 2025
Equipe de Recherche Contextes et Acteurs de l'Education (ERCAé), Université d'Orléans, Orléans, France.
Recent research has revealed the widespread effects of emotion on cognitive functions and memory. However, the influence of emotional valence on verbal short-term memory remains largely unexplored, especially in children. This study measured the effect of emotional valence on word immediate serial recall in 4-6-year-old French children ( = 124).
View Article and Find Full Text PDFEnviron Manage
January 2025
Department of Geoecology, Institute of Geosciences and Geography, Martin Luther University, Halle-Wittenberg, Halle (Saale), Germany.
In the face of unabated urban expansion, understanding the intrinsic characteristics of landscape structure is pertinent to preserving ecological diversity and managing the supply of ecosystem services. This study integrates machine-learning-based geospatial and landscape ecological techniques to assess the dynamics of landscape structure in cities of the rainforest (Akure and Owerri) and Guinea savanna (Makurdi and Minna) ecological regions of Nigeria between 1986 and 2022. Supervised classification using the random forest (RF) machine-learning classifier was performed on Landsat images on the Google Earth Engine (GEE) platform, and landscape metrics were calculated with FRAGSTATS to assess landscape composition, configuration, and connectivity.
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