NEgatiVE results in Radiomics research (NEVER): A meta-research study of publication bias in leading radiology journals. Issue 163 (June 2023)
- Record Type:
- Journal Article
- Title:
- NEgatiVE results in Radiomics research (NEVER): A meta-research study of publication bias in leading radiology journals. Issue 163 (June 2023)
- Main Title:
- NEgatiVE results in Radiomics research (NEVER): A meta-research study of publication bias in leading radiology journals
- Authors:
- Kocak, Burak
Bulut, Elif
Bayrak, Osman Nuri
Okumus, Ahmet Arda
Altun, Omer
Borekci Arvas, Zeynep
Kavukoglu, Irem - Abstract:
- Highlights: Based on a priori power analysis, a random sample of 149 publications was reviewed. Nearly half of the publications did not compare their radiomic method to a non-radiomic method. Leading clinical radiology journals have a strong bias toward publishing positive results. Almost never do these journals publish negative results. Abstract: Purpose: The purpose of this study was to conduct a meta -research of radiomics-related articles for the publication of negative results, with a focus on the leading clinical radiology journals due to their purportedly high editorial standards. Methods: A literature search was performed in PubMed to identify original research studies on radiomics (last search date: August 16th, 2022). The search was restricted to studies published in Q1 clinical radiology journals indexed by Scopus and Web of Science. Following an a priori power analysis based on our null hypothesis, a random sampling of the published literature was conducted. Besides the six baseline study characteristics, a total of three items about publication bias were evaluated. Agreement between raters was analyzed. Disagreements were resolved through consensus. Statistical synthesis of the qualitative evaluations was presented. Results: Following a priori power analysis, we included a random sample of 149 publications in this study. Most of the publications were retrospective (95%; 142/149), based on private data (91%; 136/149), centered on a single institution (75%;Highlights: Based on a priori power analysis, a random sample of 149 publications was reviewed. Nearly half of the publications did not compare their radiomic method to a non-radiomic method. Leading clinical radiology journals have a strong bias toward publishing positive results. Almost never do these journals publish negative results. Abstract: Purpose: The purpose of this study was to conduct a meta -research of radiomics-related articles for the publication of negative results, with a focus on the leading clinical radiology journals due to their purportedly high editorial standards. Methods: A literature search was performed in PubMed to identify original research studies on radiomics (last search date: August 16th, 2022). The search was restricted to studies published in Q1 clinical radiology journals indexed by Scopus and Web of Science. Following an a priori power analysis based on our null hypothesis, a random sampling of the published literature was conducted. Besides the six baseline study characteristics, a total of three items about publication bias were evaluated. Agreement between raters was analyzed. Disagreements were resolved through consensus. Statistical synthesis of the qualitative evaluations was presented. Results: Following a priori power analysis, we included a random sample of 149 publications in this study. Most of the publications were retrospective (95%; 142/149), based on private data (91%; 136/149), centered on a single institution (75%; 111/149), and lacked external validation (81%; 121/149). Slightly fewer than half (44%; 66/149) made no comparison to non-radiomic approaches. Overall, only one study (1%; 1/149) reported negative results for radiomics, yielding a statistically significant binomial test ( p < 0.0001). Conclusion: The top clinical radiology journals almost never publish negative results, having a strong bias toward publishing positive results. Almost half of the publications did not even compare their approach with a non-radiomic method. … (more)
- Is Part Of:
- European journal of radiology. Issue 163(2023)
- Journal:
- European journal of radiology
- Issue:
- Issue 163(2023)
- Issue Display:
- Volume 163, Issue 163 (2023)
- Year:
- 2023
- Volume:
- 163
- Issue:
- 163
- Issue Sort Value:
- 2023-0163-0163-0000
- Page Start:
- Page End:
- Publication Date:
- 2023-06
- Subjects:
- Radiomics -- Texture analysis -- Systematic review -- Meta-research -- Publication bias -- Negative results
Medical radiology -- Periodicals
Radiology -- Periodicals
Radiologie médicale -- Périodiques
Medical radiology
Periodicals
616.075705 - Journal URLs:
- http://www.sciencedirect.com/science/journal/0720048X ↗
http://www.elsevier.com/homepage/elecserv.htt ↗
http://www.clinicalkey.com/dura/browse/journalIssue/0720048X ↗
http://www.clinicalkey.com.au/dura/browse/journalIssue/0720048X ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ejrad.2023.110830 ↗
- Languages:
- English
- ISSNs:
- 0720-048X
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
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- British Library DSC - 3829.738050
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