Significance of Publication bias
Publication bias, as defined across various fields, is the tendency for studies with positive or statistically significant results to be more likely published than those with negative or inconclusive findings. This can distort the overall evidence base, potentially skewing meta-analysis findings and affecting the perception of treatment efficacy. Researchers often use methods like funnel plots and statistical tests to assess and mitigate the impact of this bias on research conclusions.
Synonyms: Selective publication, Reporting bias, Information bias
The below excerpts are indicatory and do represent direct quotations or translations. It is your responsibility to fact check each reference.
The concept of Publication bias in scientific sources
Publication bias is the tendency for positive or statistically significant research results to be more likely published than negative or inconclusive findings. This systematic error can skew meta-analyses, distorting the overall understanding of a topic and potentially leading to false conclusions.
From: International Journal of Pharmacology
(1) Considering conflicting results, this is because of this and heterogeneity among observational studies.[1] (2) The tendency for studies with positive or statistically significant results to be more likely published than those with negative or non-significant findings.[2] (3) A potential bias in research where studies with statistically significant results are more likely to be published, assessed using funnel plots and Egger's test.[3] (4) A potential skew in research findings where studies with statistically significant or positive results are more likely to be published than those with negative or inconclusive outcomes.[4] (5) This bias can be reduced by registering systematic reviews, which helps in identifying and addressing unpublished studies.[5]
From: Journal of Public Health in Africa
(1) Although the possibility of bias in the method of identifying and selecting studies for review was reduced by using a comprehensive search strategy, there is a possibility of publication bias since this review included only published articles.[6] (2) This refers to the possibility that studies with certain results are more likely to be published, and it was not assessed in this review.[7] (3) This was assessed by using a graphic method (Funnel Plot) and statistical method (Begg and Egger tests), and there was no evidence of this using the tests, even though the Funnel Plot showed a slight dissymmetry in favor of small-sized studies.[8] (4) This is a potential issue that may arise in research, which the document searches in several databases and gray literature aim to reduce.[9] (5) There was no evidence of this type of bias among the studies that were assessed in the review, indicating a balanced representation of the research findings.[10]
From: The Malaysian Journal of Medical Sciences
(1) Publication bias is a potential issue where studies with certain results are more likely to be published, and it can affect the findings of systematic reviews.[11] (2) Publication bias is a potential issue assessed using tests and funnel plots to evaluate whether studies with certain results are more likely to be published.[12] (3) A type of bias that occurs when the published studies are systematically different from all completed studies and can distort the results of a meta-analysis.[13] (4) The tendency to selectively publish results, which was assessed in the meta-analysis to ensure the validity of the findings.[14]
From: South African Journal of Physiotherapy
(1) This review included only published studies, resulting in this.[15] (2) Publication bias is a tendency to publish positive results, and unpublished data were not included, which may have led to publication bias.[16] (3) This needs to be considered as studies were only included from the year 2000–2018, and this is one of the ten key recommendations observed for the class of evidence for the review.[17] (4) This is a phenomenon where studies with positive results are more likely to appear in the published literature, potentially leading to false positive findings.[18]
From: South African Family Practice
(1) This refers to the tendency for studies with positive results to be more likely to be published than those with negative results, which can affect evidence-based decision making.[19] (2) Publication bias is a systematic error that can occur in research when the likelihood of a study being published is influenced by the nature and direction of the study's findings, and it should be considered.[20] (3) A concern in meta-analysis, and funnel plots were performed to assess it, though results were not presented, as stated in the text.[21]
From: Journal of Metabolic Health
(1) The tendency to publish studies with significant results, which may affect the findings and interpretations of the research.[22] (2) This is a tendency for studies with positive or statistically significant results to be more likely to be published than those with negative or non-significant results, which may affect the results.[23] (3) This is a phenomenon where studies with positive or significant results are more likely to be published, potentially skewing the overall findings of a research area.[24]
From: South African Journal of HIV Medicine
(1) Publication bias refers to the tendency for studies with positive results to be more likely to be published, and the analysis assessed the qualitative risk of this bias using Begg’s funnel plot analysis.[25] (2) This refers to the tendency for studies with positive results to be more likely to be published, potentially skewing the overall understanding of an intervention's effectiveness.[26]
From: Onderstepoort Journal of Veterinary Research
(1) This is a tendency for studies with positive results to be more likely to be published, and Egger’s regression test and funnel plotting were used to evaluate this.[27]
From: African Journal of Primary Health Care and Family Medicine
(1) This is a systematic error that can occur in research when studies with statistically significant results are more likely to be published than those with non-significant findings, potentially skewing the overall results of a meta-analysis.[28]
From: International Journal of Pharmacology
(1) The tendency for studies with positive results to be more likely published than those with negative or inconclusive results, assessed using funnel charts.[29] (2) A bias that can affect the results of a meta-analysis, visually evaluated using funnel plots in the breast cancer study.[30] (3) This possibility, as indicated by a funnel plot, is one reason for caution when interpreting results from meta-analyses on pouchitis management.[31] (4) Publication bias is a systematic error where studies with statistically significant results are more likely to be published, potentially skewing the overall findings of a meta-analysis.[32] (5) The tendency for studies with positive or statistically significant results to be more likely published than those with negative or non-significant findings.[33]
From: South African Journal of Psychiatry
(1) The tendency for studies with significant results to be more likely to be published in English-language journals, which may have impacted the sampling frame.[34] (2) This, along with file-drawer bias, should be considered when drawing conclusions from open-label studies, as they may favor positive findings in the research.[35]
From: International Journal of Environmental Research and Public Health (MDPI)
(1) The potential for this cannot be ignored, as the review relies on published studies.[36]