Tweeting Bias in Diagnostic Test Accuracy Research: Does Title or Conclusion Positivity Influence Dissemination?

Tweeting Bias in Diagnostic Test Accuracy Research: Does Title or Conclusion Positivity Influence Dissemination?
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DOI:
10.1177/08465371211006420
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发表时间:
2022-02-01
影响因子:
3.1
通讯作者:
McInnes, Matthew D. F.
McInnes, Matthew D. F.
中科院分区:
医学4区
文献类型:
--
作者:
Hallgrimson, Zachary;Fabiano, Nicholas;McInnes, Matthew D. F.

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目的:通过确定具有积极标题或结论的诊断测试准确性(DTA)研究是否比非积极研究被推文更多,来检查影像学文献中是否存在推文偏倚。方法:纳入2011年10月至2016年4月发表的DTA研究。题目和结论的正面性独立评估,一式两份,分歧以协商一致方式解决。采用控制混杂变量的负二项回归分析来评估文章标题或结论积极性与发表后100天内收到的推文之间的关系。结果:共纳入354项DTA研究。24篇(7%)标题和300篇(85%)结论为阳性(或带限定词的阳性);1篇(0.3%)标题和23篇(7%)结论为阴性;329篇(93%)标题和26篇(7%)结论为中性。具有积极、消极和中性标题的研究平均每项研究收到0.38、0.00和0.45条推文;而那些有积极、消极和中立结论的人每项研究平均收到0.44、0.61和0.38条推文。阳性与非阳性的回归系数为-0.05 (SE 0.46),阳性与非阳性的回归系数为-0.09 (SE 0.31)。标题(P = 0.91)或结论(P = 0.76)的积极性与文章收到的推文数量没有显著相关。结论:DTA研究的标题或结论的正面性并不影响其收到的tweet的数量,这表明在成像诊断准确性研究中不存在tweet偏差。研究方案可在https://osf.io/hdk2m/上获得
Purpose: To examine if tweeting bias exists within imaging literature by determining if diagnostic test accuracy (DTA) studies with positive titles or conclusions are tweeted more than non-positive studies. Methods: DTA studies published between October 2011 to April 2016 were included. Positivity of titles and conclusions were assessed independently and in duplicate, with disagreements resolved by consensus. A negative binomial regression analysis controlling for confounding variables was performed to assess the relationship between title or conclusion positivity and tweets an article received in the 100 days post-publication. Results: 354 DTA studies were included. Twenty-four (7%) titles and 300 (85%) conclusions were positive (or positive with qualifier); 1 (0.3%) title and 23 (7%) conclusions were negative; and 329 (93%) titles and 26 (7%) conclusions were neutral. Studies with positive, negative, and neutral titles received a mean of 0.38, 0.00, and 0.45 tweets per study; while those with positive, negative, and neutral conclusions received a mean of 0.44, 0.61, and 0.38 tweets per study. Regression coefficients were -0.05 (SE 0.46) for positive relative to non-positive titles, and -0.09 (SE 0.31) for positive relative to non-positive conclusions. The positivity of the title (P = 0.91) or conclusion (P = 0.76) was not significantly associated with the number of tweets an article received. Conclusions: The positivity of the title or conclusion for DTA studies does not influence the amount of tweets it receives suggesting that tweet bias is not present among imaging diagnostic accuracy studies. Study protocol available at https://osf.io/hdk2m/