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  1. Network meta-analysis (NMA) allows estimating and ranking the effects of several interventions for a clinical condition. Component network meta-analysis (CNMA) is an extension of NMA which considers the indivi...

    Authors: Maria Petropoulou, Gerta Rücker, Stephanie Weibel, Peter Kranke and Guido Schwarzer
    Citation: BMC Medical Research Methodology 2023 23:140
  2. Days alive without life support (DAWOLS) and similar outcomes that seek to summarise mortality and non-mortality experiences are increasingly used in critical care research. The use of these outcomes is challe...

    Authors: Anders Granholm, Benjamin Skov Kaas-Hansen, Theis Lange, Marie Warrer Munch, Michael O. Harhay, Fernando G. Zampieri, Anders Perner, Morten Hylander Møller and Aksel Karl Georg Jensen
    Citation: BMC Medical Research Methodology 2023 23:139
  3. The Behavioral Risk Factor Surveillance System (BRFSS) is an annual survey designed to identify trends in the public’s health. In its 2019 field survey, the U.S. state of GA tested a new 3 – item module to mea...

    Authors: Changle Li, Toni P. Miles, Ye Shen, Rana Bayakly, Moses Ido and M. Mahmud Khan
    Citation: BMC Medical Research Methodology 2023 23:138
  4. The Engage Study is a longitudinal biobehavioral cohort study of gay, bisexual and other men who have sex with men (GBM) in Toronto, Montreal, and Vancouver. Baseline data (2,449 participants) were collected ...

    Authors: Jordan M. Sang, Bita Gholamian, Lu Wang, Justin Barath, Syed W. Noor, Nathan J. Lachowsky, Trevor A. Hart, Joseph Cox, Gilles Lambert, Daniel Grace, Shayna Skakoon-Sparling, Allan Lal, Abbie Parlette, Herak Apelian, Jody Jollimore, Robert S. Hogg…
    Citation: BMC Medical Research Methodology 2023 23:136
  5. While medical studies generally provide health feedback to participants, in observational studies this is not always the case due to logistical and financial difficulties, or concerns about changing observed b...

    Authors: Michaela Benzeval, Alexandria Andrayas, Jan Mazza, Tarek Al Baghal, Jonathan Burton, Thomas F. Crossley and Meena Kumari
    Citation: BMC Medical Research Methodology 2023 23:134
  6. PONV reduces patient satisfaction and increases hospital costs as patients remain in the hospital for longer durations. In this study, we build a preliminary artificial intelligence algorithm model to predict ...

    Authors: Cheng-Mao Zhou, Ying Wang, Qiong Xue, Jian-Jun Yang and Yu Zhu
    Citation: BMC Medical Research Methodology 2023 23:133
  7. In economic evaluations, survival is often extrapolated to smooth out the Kaplan-Meier estimate and because the available data (e.g., from randomized controlled trials) are often right censored. Validation of ...

    Authors: LJ Bakker, FW Thielen, WK Redekop, CA Uyl-de Groot and HM Blommestein
    Citation: BMC Medical Research Methodology 2023 23:132
  8. The recent progress in molecular biology generates an increasing interest in investigating molecular biomarkers as markers of response to treatments. The present work is motivated by a study, where the objecti...

    Authors: Maeregu Woldeyes Arisido, Luisa Foco, Robin Shoemaker, Roberto Melotti, Christian Delles, Martin Gögele, Stefano Barolo, Stephanie Baron, Michel Azizi, Anna F. Dominiczak, Maria-Christina Zennaro, Peter P. Pramstaller, Marko Poglitsch and Cristian Pattaro
    Citation: BMC Medical Research Methodology 2023 23:131
  9. Missing diagnoses are common in cross-sectional studies of dementia, and this missingness is usually related to whether the respondent has dementia or not. Failure to properly address this issue can lead to un...

    Authors: Chong Shen, Minyue Pei, Xiaoxiao Wang, Yiming Zhao, Luning Wang, Jiping Tan, Ke Deng and Nan Li
    Citation: BMC Medical Research Methodology 2023 23:130
  10. There is a rapid increase in the incidence of inflammatory bowel diseases (IBD) in newly industrialized countries, yet epidemiological data is incomplete. We herein report the methodology adopted to study the ...

    Authors: Joyce W. Y. Mak, Yang Sun, Julajak Limsrivilai, Murdani Abdullah, Jamilya Kaibullayeva, Domingo Balderramo, Beatriz Iade Vergara, Mukesh Sharma Paudel, Rupa Banerjee, Ida Hilmi, Raja Affendi Raja Ali, Shu Chen Wei, Ka Kei Ng, Mansour Altuwaijri, Paul Kelly, Jesus K. Yamamoto-Furusho…
    Citation: BMC Medical Research Methodology 2023 23:129
  11. Although superficially similar to data from clinical research, data extracted from electronic health records may require fundamentally different approaches for model building and analysis. Because electronic h...

    Authors: Tianyao Huo, Deborah H. Glueck, Elizabeth A. Shenkman and Keith E. Muller
    Citation: BMC Medical Research Methodology 2023 23:128
  12. The statistical models developed for meta-analysis of diagnostic test accuracy studies require specialised knowledge to implement. This is especially true since recent guidelines, such as those in Version 2 of...

    Authors: Enzo Cerullo, Alex J. Sutton, Hayley E. Jones, Olivia Wu, Terry J. Quinn and Nicola J. Cooper
    Citation: BMC Medical Research Methodology 2023 23:127
  13. Modelling the course of a disease regarding severe events and identifying prognostic factors is of great clinical relevance. Multistate models (MSM) can be used to describe diseases or processes that change ov...

    Authors: Leire Garmendia Bergés, Jordi Cortés Martínez and Guadalupe Gómez Melis
    Citation: BMC Medical Research Methodology 2023 23:126
  14. Cancer registries collect patient-specific information about cancer diseases. The collected information is verified and made available to clinical researchers, physicians, and patients. When processing informa...

    Authors: Philipp Röchner and Franz Rothlauf
    Citation: BMC Medical Research Methodology 2023 23:125
  15. Integrated traditional Chinese and western medicine (ITCWM), as a representative type of complex intervention, is commonly used for the treatment of angina pectoris (AP) in clinical practice. However, it is un...

    Authors: Jiashuai Deng, Juan He, Juan Wang, Chung Wah Cheng, Yalin Jiao, Nana Wang, Ji Li, Ping Wang, Fei Han, Aiping Lyu, Zhaoxiang Bian and Xuan Zhang
    Citation: BMC Medical Research Methodology 2023 23:124
  16. HIV is one of the deadliest epidemics and one of the most critical global public health issues. Some are susceptible to die among people living with HIV and some survive longer. The aim of the present study is...

    Authors: Khadijeh Najafi Ghobadi, Ghodratollah Roshanaei, Jalal Poorolajal, Ebrahim Shakiba, Kaivan KHassi and Hossein Mahjub
    Citation: BMC Medical Research Methodology 2023 23:123
  17. To estimate causal effects, analysts performing observational studies in health settings utilize several strategies to mitigate bias due to confounding by indication. There are two broad classes of approaches ...

    Authors: Roy S. Zawadzki, Joshua D. Grill and Daniel L. Gillen
    Citation: BMC Medical Research Methodology 2023 23:122
  18. Sub-cohort sampling designs such as a case-cohort study play a key role in studying biomarker-disease associations due to their cost effectiveness. Time-to-event outcome is often the focus in cohort studies, a...

    Authors: Myeonggyun Lee, Jinbo Chen, Anne Zeleniuch-Jacquotte and Mengling Liu
    Citation: BMC Medical Research Methodology 2023 23:119
  19. Data-sharing is increasingly encouraged or required by funders and journals. Data-sharing is more complicated for lifecourse studies that rely upon ongoing participation, but little is known about perspectives...

    Authors: Jane Reeves, Gareth J. Treharne, Mihi Ratima, Reremoana Theodore, Will Edwards and Richie Poulton
    Citation: BMC Medical Research Methodology 2023 23:118
  20. A Trial within Cohorts (TwiCs) study design is a trial design that uses the infrastructure of an observational cohort study to initiate a randomized trial. Upon cohort enrollment, the participants provide cons...

    Authors: Rob Kessels, Anne M. May, Miriam Koopman and Kit C. B. Roes
    Citation: BMC Medical Research Methodology 2023 23:117
  21. Effectiveness-implementation hybrid designs are a relatively new approach to evaluate efficacious interventions in real-world settings while concurrently gathering information on the implementation. Interventi...

    Authors: Diana Trutschel, Catherine Blatter, Michael Simon, Daniela Holle, Sven Reuther and Thekla Brunkert
    Citation: BMC Medical Research Methodology 2023 23:116
  22. Guidance and reporting principles such as CONSORT (for randomised trials) and PRISMA (for systematic reviews) have greatly improved the reporting, discoverability, transparency and consistency of published res...

    Authors: Sara E. Shaw, Sara Paparini, Jamie Murdoch, Judith Green, Trisha Greenhalgh, Benjamin Hanckel, Hannah M. James, Mark Petticrew, Gary W. Wood and Chrysanthi Papoutsi
    Citation: BMC Medical Research Methodology 2023 23:115
  23. Clinical outcomes are normally captured less frequently than data from remote technologies, leaving a disparity in volumes of data from these different sources. To align these data, flexible polynomial regress...

    Authors: Nicole Filipow, Eleanor Main, Gizem Tanriver, Emma Raywood, Gwyneth Davies, Helen Douglas, Aidan Laverty and Sanja Stanojevic
    Citation: BMC Medical Research Methodology 2023 23:114
  24. Virtual data collection methods and consent procedures adopted in response to the COVID-19 pandemic enabled continued research activities, but also introduced concerns about equity, inclusivity, representation...

    Authors: Serena S Small, Erica Lau, Kassandra McFarlane, Patrick M Archambault, Holly Longstaff and Corinne M Hohl
    Citation: BMC Medical Research Methodology 2023 23:113
  25. Failure to appropriately account for unmeasured confounding may lead to erroneous conclusions. Quantitative bias analysis (QBA) can be used to quantify the potential impact of unmeasured confounding or how muc...

    Authors: Emily Kawabata, Kate Tilling, Rolf H. H. Groenwold and Rachael A. Hughes
    Citation: BMC Medical Research Methodology 2023 23:111
  26. To understand and prevent sport injuries, scholars have employed different scientific approaches and research methods. Traditionally, this research has been monodisciplinary, relying on one subdiscipline of sp...

    Authors: S.E Hausken-Sutter, K Boije af Gennäs, A Schubring, S Grau, J Jungmalm and N Barker-Ruchti
    Citation: BMC Medical Research Methodology 2023 23:110
  27. 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
  28. 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
  29. 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
  30. 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
  31. 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
  32. 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
  33. 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
  34. 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
  35. 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
  36. 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
  37. 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
  38. 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
  39. 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
  40. 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
  41. 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
  42. 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

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