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  1. Despite the extensive research on data mining algorithms, there is still a lack of a standard protocol to evaluate the performance of the existing algorithms. Therefore, the study aims to provide a novel proce...

    Authors: Jian Zhong, Chaochao Ma, Li’an Hou, Yicong Yin, Fang Zhao, Yingying Hu, Ailing Song, Danchen Wang, Lei Li, Xinqi Cheng and Ling Qiu
    Citation: BMC Medical Research Methodology 2023 23:108
  2. Research on risk factors for neuropsychiatric adverse events (NAEs) in smoking cessation with pharmacotherapy is scarce. We aimed to identify predictors and develop a prediction model for risk of NAEs in smoki...

    Authors: Van Thi Thanh Truong, Charles Green, Claudia Pedroza, Lu-Yu Hwang, Suja S. Rajan, Robert Suchting, Paul Cinciripini, Rachel F. Tyndale and Caryn Lerman
    Citation: BMC Medical Research Methodology 2023 23:107
  3. Safety is important in the assessment of health interventions, while the results of adverse events are often susceptive to potential effect modifiers since the event risk tends to be rare. In this study, we in...

    Authors: Xiaoqin Zhou, Xi Yang, Fei Cai, Li Wang, Chang Xu and Pengli Jia
    Citation: BMC Medical Research Methodology 2023 23:106
  4. Item 13 of the CONSORT guidelines recommends documentation of the participant flow in randomised clinical trials (RCTs) using a diagram. In the medical literature, the reporting of the flow of participants in ...

    Authors: Hanns-Gustav Julius Meyer, Nikolaos Pandis, Jadbinder Seehra and Clovis Mariano Faggion Jr
    Citation: BMC Medical Research Methodology 2023 23:105
  5. Multimedia multi-device measurement platforms may make the assessment of prevention-related medical variables with a focus on cardiovascular outcomes more attractive and time-efficient. The aim of the studies ...

    Authors: Martin Junge, Markus Krüger, Dietlind L. Wahner-Roedler, Brent A. Bauer, Marcus Dörr, Martin Bahls, Jean-François Chenot, Reiner Biffar and Carsten O. Schmidt
    Citation: BMC Medical Research Methodology 2023 23:103
  6. The use of machine learning is becoming increasingly popular in many disciplines, but there is still an implementation gap of machine learning models in clinical settings. Lack of trust in models is one of the...

    Authors: Eline Stenwig, Giampiero Salvi, Pierluigi Salvo Rossi and Nils Kristian Skjærvold
    Citation: BMC Medical Research Methodology 2023 23:102
  7. Trauma is one of the most critical public health issues worldwide, leading to death and disability and influencing all age groups. Therefore, there is great interest in models for predicting mortality in traum...

    Authors: Roghayyeh Hassanzadeh, Maryam Farhadian and Hassan Rafieemehr
    Citation: BMC Medical Research Methodology 2023 23:101
  8. AO Spine RECODE-DCM was a multi-stakeholder priority setting partnership (PSP) to define the top ten research priorities for degenerative cervical myelopathy (DCM). Priorities were generated and iteratively re...

    Authors: Oliver D. Mowforth, Lance Burn, Danyal Z. Khan, Xiaoyu Yang, Sybil R. L. Stacpoole, Toto Gronlund, Lindsay Tetreault, Sukhvinder Kalsi-Ryan, Michelle L. Starkey, Iwan Sadler, Ellen Sarewitz, Delphine Houlton, Julia Carter, Paige Howard, Vafa Rahimi-Movaghar, James D. Guest…
    Citation: BMC Medical Research Methodology 2023 23:100
  9. In studies of time-to-events, it is common to collect information about events that occurred before the inclusion in a prospective cohort. When the studied risk factors are independent of time, including both ...

    Authors: Gaëlle Munsch, Louisa Goumidi, Astrid van Hylckama Vlieg, Manal Ibrahim-Kosta, Maria Bruzelius, Jean-François Deleuze, Frits R. Rosendaal, Hélène Jacqmin-Gadda, Pierre-Emmanuel Morange and David-Alexandre Trégouët
    Citation: BMC Medical Research Methodology 2023 23:99
  10. The Utrecht Cardiovascular Cohort – CardioVascular Risk Management (UCC-CVRM) was set up as a learning healthcare system (LHS), aiming at guideline based cardiovascular risk factor measurement in all patients ...

    Authors: Anna G. M. Zondag, T. Katrien J. Groenhof, Rieke van der Graaf, Wouter W. van Solinge, Michiel L. Bots and Saskia Haitjema
    Citation: BMC Medical Research Methodology 2023 23:98
  11. With the increased interest in the inclusion of non-randomised data in network meta-analyses (NMAs) of randomised controlled trials (RCTs), analysts need to consider the implications of the differences in stud...

    Authors: Humaira Hussein, Keith R. Abrams, Laura J. Gray, Sumayya Anwer, Sofia Dias and Sylwia Bujkiewicz
    Citation: BMC Medical Research Methodology 2023 23:97
  12. There are debates in acupuncture related systematic reviews and meta-analyses on whether searching Chinese databases to get more Chinese-language studies may increase the risk of bias and overestimate the effe...

    Authors: Jing Li, Xu Hui, Liang Yao, Anya Shi, Peijing Yan, Yuan Yao, Qi Wang, Yanfang Ma, Dang Wei, Lei Lan, Lingxiao Chen, Lijiao Yan, Fang Fang, Huijuan Li, Xiaowen Feng, Jingxi Wu…
    Citation: BMC Medical Research Methodology 2023 23:96
  13. Routinely collected health data (RCD) are important resource for exploring drug treatment effects. Adequate reporting of data source profiles may increase the credibility of evidence generated from these data....

    Authors: Wen Wang, Mei Liu, Qiao He, Mingqi Wang, Jiayue Xu, Ling Li, Guowei Li, Lin He, Kang Zou and Xin Sun
    Citation: BMC Medical Research Methodology 2023 23:95
  14. Joint modelling combines two or more statistical models to reduce bias and increase efficiency. As the use of joint modelling increases it is important to understand how and why it is being applied to heart fa...

    Authors: Ryan J. Field, Carly Adamson, Pardeep Jhund and Jim Lewsey
    Citation: BMC Medical Research Methodology 2023 23:94
  15. To determine the effect size of observed factors considering trigger factors based on parallel-serial models and to explore how multiple factors can be related to the result of complex events for low-probabili...

    Authors: Liu Hui
    Citation: BMC Medical Research Methodology 2023 23:93
  16. Linking self-reported data collected from longitudinal studies with administrative health records is timely and cost-effective, provides the opportunity to augment information contained in each and can offset ...

    Authors: Luam Ghebreab, Bridget Kool, Arier Lee and Susan Morton
    Citation: BMC Medical Research Methodology 2023 23:91
  17. Indirect standardization, and its associated parameter the standardized incidence ratio, is a commonly-used tool in hospital profiling for comparing the incidence of negative outcomes between an index hospital...

    Authors: Yifei Wang and Philip Chu
    Citation: BMC Medical Research Methodology 2023 23:90
  18. Validating new algorithms, such as methods to disentangle intrinsic treatment risk from risk associated with experiential learning of novel treatments, often requires knowing the ground truth for data characte...

    Authors: Sharon E. Davis, Henry Ssemaganda, Jejo D. Koola, Jialin Mao, Dax Westerman, Theodore Speroff, Usha S. Govindarajulu, Craig R. Ramsay, Art Sedrakyan, Lucila Ohno-Machado, Frederic S. Resnic and Michael E. Matheny
    Citation: BMC Medical Research Methodology 2023 23:89
  19. To advance new therapies into clinical care, clinical trials must recruit enough participants. Yet, many trials fail to do so, leading to delays, early trial termination, and wasted resources. Under-enrolling ...

    Authors: Stéphane M. Meystre, Paul M. Heider, Andrew Cates, Grace Bastian, Tara Pittman, Stephanie Gentilin and Teresa J. Kelechi
    Citation: BMC Medical Research Methodology 2023 23:88
  20. Multi-state models are used to study several clinically meaningful research questions. Depending on the research question of interest and the information contained in the data, different multi-state structures...

    Authors: Nikolaos Skourlis, Michael J. Crowther, Therese M‑L. Andersson, Donghao Lu, Mats Lambe and Paul C. Lambert
    Citation: BMC Medical Research Methodology 2023 23:87
  21. Detecting treatment effect heterogeneity is an important objective in cluster randomized trials and implementation research. While sample size procedures for testing the average treatment effect accounting for...

    Authors: Jiaqi Tong, Fan Li, Michael O. Harhay and Guangyu Tong
    Citation: BMC Medical Research Methodology 2023 23:85

    The Correction to this article has been published in BMC Medical Research Methodology 2023 23:135

  22. Most randomized controlled trials (RCTs) in the academic setting have limited resources for clinical trial management and monitoring. Inefficient conduct of trials was identified as an important source of wast...

    Authors: Katharina Klatte, Suvitha Subramaniam, Pascal Benkert, Alexandra Schulz, Klaus Ehrlich, Astrid Rösler, Mieke Deschodt, Thomas Fabbro, Christiane Pauli-Magnus and Matthias Briel
    Citation: BMC Medical Research Methodology 2023 23:84
  23. National mortality statistics are based on a single underlying cause of death. This practice does not adequately represent the impact of the range of conditions experienced in an ageing population in which mul...

    Authors: Annette Dobson, Paul McElwee, Mohammad Reza Baneshi, James Eynstone-Hinkins, Lauren Moran and Michael Waller
    Citation: BMC Medical Research Methodology 2023 23:83
  24. Failure time data frequently occur in many medical studies and often accompany with various types of censoring. In some applications, left truncation may occur and can induce biased sampling, which makes the p...

    Authors: Li Shao, Hongxi Li, Shuwei Li and Jianguo Sun
    Citation: BMC Medical Research Methodology 2023 23:82
  25. Understanding how SARS-CoV-2 infection impacts long-term patient outcomes requires identification of comparable persons with and without infection. We report the design and implementation of a matching strateg...

    Authors: Valerie A. Smith, Theodore S. Z. Berkowitz, Paul Hebert, Edwin S. Wong, Meike Niederhausen, John A. Pura, Kristin Berry, Pamela Green, Anna Korpak, Alexandra Fox, Aaron Baraff, Alex Hickok, Troy A Shahoumian, Amy S.B. Bohnert, Denise M. Hynes, Edward J. Boyko…
    Citation: BMC Medical Research Methodology 2023 23:81

    The Correction to this article has been published in BMC Medical Research Methodology 2023 23:194

  26. Only rigorously prepared analyses can provide the highest level of evidence to inform decision-making. Several recent systematic reviews (SRs) examined the hypothesis that the early introduction of specific al...

    Authors: Uwe Matterne, Melissa A. Theurich, Simone Pröbstl, Dawid Pieper, Jiancong Wang, Anna Xu and Christian Apfelbacher
    Citation: BMC Medical Research Methodology 2023 23:80
  27. In network meta-analysis, estimation of a comparative effect can be performed for treatments that are connected either directly or indirectly. However, disconnected trial networks may arise, which poses a chal...

    Authors: Lauren McKeen, Paul Morris, Chong Wang, Max D. Morris and Annette M. O’Connor
    Citation: BMC Medical Research Methodology 2023 23:79
  28. Pre-trial acceptability studies may boost recruitment, especially in trials comparing distinctly different interventions. We evaluated the impact of an acceptability study on recruitment to a randomised trial ...

    Authors: Georgina Ramsay, Zoë Haime, Nadia E Crellin, Jacki L Stansfeld, Stefan Priebe, Maria Long and Joanna Moncrieff
    Citation: BMC Medical Research Methodology 2023 23:78
  29. COVID-19 is a new multi-organ disease causing considerable worldwide morbidity and mortality. While many recognized pathophysiological mechanisms are involved, their exact causal relationships remain opaque. B...

    Authors: Steven Mascaro, Yue Wu, Owen Woodberry, Erik P. Nyberg, Ross Pearson, Jessica A. Ramsay, Ariel O. Mace, David A. Foley, Thomas L. Snelling and Ann E. Nicholson
    Citation: BMC Medical Research Methodology 2023 23:76
  30. The problem of dealing with misreported data is very common in a wide range of contexts for different reasons. The current situation caused by the Covid-19 worldwide pandemic is a clear example, where the data...

    Authors: David Moriña, Amanda Fernández-Fontelo, Alejandra Cabaña, Argimiro Arratia and Pedro Puig
    Citation: BMC Medical Research Methodology 2023 23:75
  31. Baseline outcome risk can be an important determinant of absolute treatment benefit and has been used in guidelines for “personalizing” medical decisions. We compared easily applicable risk-based methods for o...

    Authors: Alexandros Rekkas, Peter R. Rijnbeek, David M. Kent, Ewout W. Steyerberg and David van Klaveren
    Citation: BMC Medical Research Methodology 2023 23:74
  32. Subjective “ladder” measurements of socio-economic status (SES) are easy-to-administer tools that ask respondents to rate their own SES, allowing them to evaluate their own material resources and determine whe...

    Authors: Maryann Zhao, Chuan-Chin Huang, Milagros Mendoza, Ximena Tovar, Leonid Lecca and Megan Murray
    Citation: BMC Medical Research Methodology 2023 23:73
  33. In pre-post designs, analysis of covariance (ANCOVA) is a standard technique to detect the treatment effect with a continuous variable measured at baseline and follow-up. For measurements subject to a high deg...

    Authors: Shiyang Ma and Tianying Wang
    Citation: BMC Medical Research Methodology 2023 23:72
  34. Drug toxicity does not affect patients equally; the toxicity may only exert in patients who possess certain attributes of susceptibility to specific drug properties (i.e., drug-host interaction). This concept ...

    Authors: Zhiyuan Lu, Ayako Suzuki and Dong Wang
    Citation: BMC Medical Research Methodology 2023 23:71
  35. Non-cancer mortality in cancer patients may be higher than overall mortality in the general population due to a combination of factors, such as long-term adverse effects of treatments, and genetic, environment...

    Authors: Laura Botta, Juste Goungounga, Riccardo Capocaccia, Gaelle Romain, Marc Colonna, Gemma Gatta, Olayidé Boussari and Valérie Jooste
    Citation: BMC Medical Research Methodology 2023 23:70
  36. In many countries, the prevalence of non-communicable diseases risk factors is commonly assessed through self-reported information from health interview surveys. It has been shown, however, that self-reported ...

    Authors: Ingrid Pelgrims, Brecht Devleesschauwer, Stefanie Vandevijvere, Eva M. De Clercq, Stijn Vansteelandt, Vanessa Gorasso and Johan Van der Heyden
    Citation: BMC Medical Research Methodology 2023 23:69
  37. Clinical guidelines should be based on a thorough evaluation of the evidence and generally include a rating of the quality of evidence and assign a strength to recommendations. Grading of Recommendations Asses...

    Authors: Ming Chuen Chong, Melissa K. Sharp, Susan M. Smith, Michelle O’Neill, Máirín Ryan, Rosarie Lynch, Kamal R. Mahtani and Barbara Clyne
    Citation: BMC Medical Research Methodology 2023 23:68
  38. Getting access to administrative health data for research purposes is a difficult and time-consuming process due to increasingly demanding privacy regulations. An alternative method for sharing administrative ...

    Authors: Lucy Mosquera, Khaled El Emam, Lei Ding, Vishal Sharma, Xue Hua Zhang, Samer El Kababji, Chris Carvalho, Brian Hamilton, Dan Palfrey, Linglong Kong, Bei Jiang and Dean T. Eurich
    Citation: BMC Medical Research Methodology 2023 23:67
  39. Combination therapies directed at multiple targets have potentially improved treatment effects for cancer patients. Compared to monotherapy, targeted combination therapy leads to an increasing number of subgro...

    Authors: Xin Chen, Jingyi Zhang, Liyun Jiang and Fangrong Yan
    Citation: BMC Medical Research Methodology 2023 23:66
  40. Overweight and obesity are severe public health problems worldwide. Obesity can lead to chronic diseases such as type 2 diabetes mellitus. Environmental factors may affect lifestyle aspects and are therefore e...

    Authors: Maximilian Präger, Christoph Kurz, Rolf Holle, Werner Maier and Michael Laxy
    Citation: BMC Medical Research Methodology 2023 23:65
  41. The effectiveness of malaria vector control interventions is often evaluated using cluster randomized trials (CRT) with outcomes assessed using repeated cross-sectional surveys. A key requirement for appropria...

    Authors: Yongdong Ouyang, Manisha A. Kulkarni, Natacha Protopopoff, Fan Li and Monica Taljaard
    Citation: BMC Medical Research Methodology 2023 23:64
  42. ‘A Measurement Tool to Assess Systematic Reviews, version 2’ (AMSTAR 2) is a validated 16-item scale designed to appraise systematic reviews (SRs) of healthcare interventions and to rate the overall confidence...

    Authors: Karina Karolina De Santis, Dawid Pieper, Robert C. Lorenz, Uta Wegewitz, Waldemar Siemens and Katja Matthias
    Citation: BMC Medical Research Methodology 2023 23:63
  43. To control emerging diseases, governments often have to make decisions based on limited evidence. The effective or temporal reproductive number is used to estimate the expected number of new cases caused by an...

    Authors: Chawarat Rotejanaprasert, Andrew B. Lawson and Richard J. Maude
    Citation: BMC Medical Research Methodology 2023 23:62
  44. In evidence synthesis practice, dealing with studies with no cases in both arms has been a tough problem, for which there is no consensus in the research community. In this study, we propose a method to measur...

    Authors: Chang Xu, Luis Furuya-Kanamori, Lifeng Lin, Liliane Zorzela, Tianqi Yu and Sunita Vohra
    Citation: BMC Medical Research Methodology 2023 23:61

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