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  1. In most African countries, confirmed COVID-19 case counts underestimate the number of new SARS-CoV-2 infection cases. We propose a multiplying factor to approximate the number of biologically probable new infe...

    Authors: YM Diarra, PM Wimba, PB Katchunga, J Bengehya, B Miganda, M Oyimangirwe, L Tshilolo, SM Ahuka, J Iwaz, JF Étard, R Écochard, P Vanhems and M Rabilloud
    Citation: BMC Medical Research Methodology 2023 23:272
  2. Real world evidence is now accepted by authorities charged with assessing the benefits and harms of new therapies. Clinical trials based on real world evidence are much less expensive than randomized clinical ...

    Authors: Alan Leviton and Tobias Loddenkemper
    Citation: BMC Medical Research Methodology 2023 23:271
  3. This systematic review aimed to identify effective methods to increase adolescents’ response to surveys about mental health and substance use, to improve the quality of survey information.

    Authors: Julia Bidonde, Jose F. Meneses-Echavez, Elisabet Hafstad, Geir Scott Brunborg and Lasse Bang
    Citation: BMC Medical Research Methodology 2023 23:270
  4. The design of clinical trials in rare diseases is often complicated by a lack of real-world translational knowledge. Fibrodysplasia ossificans progressiva (FOP) is an ultra-rare genetic disorder characterized ...

    Authors: Robert J. Pignolo, Mona Al Mukaddam, Geneviève Baujat, Matthew A. Brown, Carmen De Cunto, Edward C. Hsiao, Richard Keen, Kim-Hanh Le Quan Sang, Donna R. Grogan, Rose Marino, Andrew R. Strahs and Frederick S. Kaplan
    Citation: BMC Medical Research Methodology 2023 23:269
  5. Despite the interest in machine learning (ML) algorithms for analyzing real-world data (RWD) in healthcare, the use of ML in predicting time-to-event data, a common scenario in clinical practice, is less explo...

    Authors: Yinan Huang, Jieni Li, Mai Li and Rajender R. Aparasu
    Citation: BMC Medical Research Methodology 2023 23:268
  6. Planning the design of a new trial comparing two treatments already in a network of trials with an a-priori plan to estimate the effect size using a network meta-analysis increases power or reduces the sample ...

    Authors: Fangshu Ye, Chong Wang and Annette M. O’Connor
    Citation: BMC Medical Research Methodology 2023 23:267
  7. There is growing interest in whether linked administrative data have the potential to aid analyses subject to missing data in cohort studies.

    Authors: Nasir Rajah, Lisa Calderwood, Bianca L De Stavola, Katie Harron, George B Ploubidis and Richard J Silverwood
    Citation: BMC Medical Research Methodology 2023 23:266
  8. Suboptimal or slow recruitment affects 30–50% of trials. Education and training of trial recruiters has been identified as one strategy for potentially boosting recruitment to randomised controlled trials (her...

    Authors: V. Smith, H. Delaney, A. Hunter, D. Torgerson, S. Treweek, C. Gamble, N. Mills, K. Stanbury, E. Dempsey, M. Daly, J. O’Shea, K. Weatherup, S. Deshpande, M. A. Ryan, J. Lowe, G. Black…
    Citation: BMC Medical Research Methodology 2023 23:265
  9. Consensus methods are crucial in developing clinical guidelines. Different methods, such as the Delphi and nominal group techniques, are commonly used, but there is a lack of detailed instructions on how to im...

    Authors: Changhao Liang, Guanxiang Yin, Ziyi Lin, Jing Cui, Yaqi Wang, Siqi Liu, Dingran Yin, Pengwei Liu, Xiangfei Su, Hongguo Rong, Cheng Wang, Feng Sun and Yutong Fei
    Citation: BMC Medical Research Methodology 2023 23:264
  10. Abstracts provide readers a concise and readily accessible information of the trials. However, poor reporting quality and spin (misrepresentation of research findings) can lead to an overestimation in trial va...

    Authors: Feiyang Guo, Wengwanyue Ye, Danchen Qin, Xiaolin Fang, Fang Hua and Hong He
    Citation: BMC Medical Research Methodology 2023 23:263
  11. The concept of intersectionality proposes that demographic and social constructs intersect with larger social structures of oppression and privilege to shape experiences. While intersectionality is a widely ac...

    Authors: Isabel B. Rodrigues, Christine Fahim, Yasmin Garad, Justin Presseau, Alison M. Hoens, Jessica Braimoh, Diane Duncan, Lora Bruyn-Martin and Sharon E. Straus
    Citation: BMC Medical Research Methodology 2023 23:262
  12. Standard outcome sets enable the value-based evaluation of health care delivery. Whereas the attainment of expert opinion has been structured using methods such as the modified-Delphi process, standardized gui...

    Authors: KM Veen, A Joseph, F Sossi, P Blancarte Jaber, E Lansac, E Das-Gupta, S Aktaa and JJM Takkenberg
    Citation: BMC Medical Research Methodology 2023 23:261
  13. Data loss often occurs in the collection of clinical data. Directly discarding the incomplete sample may lead to low accuracy of medical diagnosis. A suitable data imputation method can help researchers make b...

    Authors: Mingxuan FAN, Xiaoling Peng, Xiaoyu Niu, Tao Cui and Qiaolin He
    Citation: BMC Medical Research Methodology 2023 23:259
  14. Subject-level real-world data (RWD) collected during daily healthcare practices are increasingly used in medical research to assess questions that cannot be addressed in the context of a randomized controlled ...

    Authors: Juha Mehtälä, Mehreen Ali, Timo Miettinen, Liisa Partanen, Kaisa Laapas, Petri T. Niemelä, Igor Khorlo, Sanna Ström, Samu Kurki, Jarno Vapalahti, Khaled Abdelgawwad and Jussi V. Leinonen
    Citation: BMC Medical Research Methodology 2023 23:258
  15. The comorbidity burden has a negative impact on lung-cancer survival. Several comorbidity scores have been described and are currently used. The current challenge is to select the comorbidity score that best r...

    Authors: Hélène Pluchart, Sébastien Bailly, Sébastien Chanoine, Denis Moro-Sibilot, Pierrick Bedouch and Anne-Claire Toffart
    Citation: BMC Medical Research Methodology 2023 23:256
  16. Looking for treatment-by-subset interaction on a right-censored outcome based on observational data using propensity-score (PS) modeling is of interest. However, there are still issues regarding its implementa...

    Authors: Florian Chatelet, Benjamin Verillaud and Sylvie Chevret
    Citation: BMC Medical Research Methodology 2023 23:255
  17. A substantial body of clinical research involving individuals infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has evaluated the association between in-hospital biomarkers and severe ...

    Authors: Tingyi Cao, Harrison T. Reeder and Andrea S. Foulkes
    Citation: BMC Medical Research Methodology 2023 23:254
  18. Physician participation in clinical trials is essential for the progress of modern medicine. However, the demand for physician research partners is outpacing physicians’ interest in participating in scientific...

    Authors: Carly A. Bobak, Deepika Mohan, Megan A. Murphy, Amber E. Barnato and A. James O’Malley
    Citation: BMC Medical Research Methodology 2023 23:253
  19. Technology advancement has allowed more frequent monitoring of biomarkers. The resulting data structure entails more frequent follow-ups compared to traditional longitudinal studies where the number of follow-...

    Authors: Rahul Biswas, Marie Thoma and Xiangrong Kong
    Citation: BMC Medical Research Methodology 2023 23:251
  20. Evidence-based treatment decisions in medicine are made founded on population-level evidence obtained during randomized clinical trials. In an era of personalized medicine, these decisions should be based on t...

    Authors: Iwan Paolucci, Yuan-Mao Lin, Jessica Albuquerque Marques Silva, Kristy K. Brock and Bruno C. Odisio
    Citation: BMC Medical Research Methodology 2023 23:250
  21. To predict the influencing factors of neonatal pneumonia in pregnant women with diabetes mellitus using a Bayesian network model. By examining the intricate network connections between the numerous variables g...

    Authors: Yue Lin, Jia Shen Chen, Ni Zhong, Ao Zhang and Haiyan Pan
    Citation: BMC Medical Research Methodology 2023 23:249
  22. Causal inference helps researchers and policy-makers to evaluate public health interventions. When comparing interventions or public health programs by leveraging observational sensitive individual-level data ...

    Authors: Marjan Meurisse, Francisco Estupiñán-Romero, Javier González-Galindo, Natalia Martínez-Lizaga, Santiago Royo-Sierra, Simon Saldner, Lorenz Dolanski-Aghamanoukjan, Alexander Degelsegger-Marquez, Stian Soiland-Reyes, Nina Van Goethem and Enrique Bernal-Delgado
    Citation: BMC Medical Research Methodology 2023 23:248
  23. When estimating the causal effect on survival outcomes in observational studies, it is necessary to adjust confounding factors due to unbalanced covariates between treatment and control groups. There is no stu...

    Authors: Ce Wang, Kecheng Wei, Chen Huang, Yongfu Yu and Guoyou Qin
    Citation: BMC Medical Research Methodology 2023 23:247
  24. Administrative healthcare claims databases are used in drug safety research but are limited for investigating the impacts of prenatal exposures on neonatal and pediatric outcomes without mother-infant pair ide...

    Authors: James Weaver, Jill H. Hardin, Clair Blacketer, Alexis A. Krumme, Melanie H. Jacobson and Patrick B. Ryan
    Citation: BMC Medical Research Methodology 2023 23:246
  25. Systematic reviews of randomized controlled trials are the best evidence for informing on intervention effectiveness. Their results, however, can be biased due to omitted evidence in the quantitative analyses....

    Authors: Stefano Giuseppe Lazzarini, Marzia Stella Yousif, Silvia Bargeri, Greta Castellini and Silvia Gianola
    Citation: BMC Medical Research Methodology 2023 23:245
  26. The COVID-19 pandemic required that our research team change our mail-only (MO) strategy for a research survey to a strategy more manageable by staff working remotely. We used a modified web-push approach (MWP...

    Authors: Varsha G. Vimalananda, Jolie B. Wormwood, Kailyn E. Sitter, B. Graeme Fincke, Shirley Qian, Maya N. Tait and Mark Meterko
    Citation: BMC Medical Research Methodology 2023 23:244
  27. Plasmode simulations are a type of simulations that use real data to determine the synthetic data-generating equations. Such simulations thus allow evaluating statistical methods under realistic conditions. As...

    Authors: Youssra Souli, Xavier Trudel, Awa Diop, Chantal Brisson and Denis Talbot
    Citation: BMC Medical Research Methodology 2023 23:242
  28. Near-real time surveillance of excess mortality has been an essential tool during the COVID-19 pandemic. It remains critical for monitoring mortality as the pandemic wanes, to detect fluctuations in the death ...

    Authors: Richard James Holleyman, Sharmani Barnard, Clarissa Bauer-Staeb, Andrew Hughes, Samantha Dunn, Sebastian Fox, John N. Newton, Justine Fitzpatrick, Zachary Waller, David John Deehan, Andre Charlett, Celia L. Gregson, Rebecca Wilson, Paul Fryers, Peter Goldblatt and Paul Burton
    Citation: BMC Medical Research Methodology 2023 23:241
  29. Data harmonisation is essential in real-world data (RWD) research projects based on hospital information systems databases, as coding systems differ between countries. The Hungarian hospital information system...

    Authors: Ágota Mészáros, Sándor Kovács, Tibor Héja, Zsolt Bagyura and Antal Zemplényi
    Citation: BMC Medical Research Methodology 2023 23:240
  30. Cancer surveillance researchers analyze incidence or mortality rates jointly indexed by age group and calendar period using age-period-cohort models. Many studies consider age- and period-specific rates in two...

    Authors: Philip S. Rosenberg, Adalberto Miranda-Filho and David C. Whiteman
    Citation: BMC Medical Research Methodology 2023 23:238
  31. Adaptive clinical trials are growing in popularity as they are more flexible, efficient and ethical than traditional fixed designs. However, notwithstanding their increased use in assessing treatments for COVI...

    Authors: W. Li, V. Cornelius, S. Finfer, B. Venkatesh and L. Billot
    Citation: BMC Medical Research Methodology 2023 23:236
  32. Public health surveillance serves a crucial function within health systems, enabling the monitoring, early detection, and warning of infectious diseases. Recently, outbreak detection algorithms have gained sig...

    Authors: Bushra Zareie, Jalal Poorolajal, Amin Roshani and Manoochehr Karami
    Citation: BMC Medical Research Methodology 2023 23:235
  33. The COVID-19 pandemic resulted in major disruption to healthcare delivery worldwide causing medical services to adapt their standard practices. Learning how these adaptations result in unintended patient harm ...

    Authors: Thomas Purchase, Alison Cooper, Delyth Price, Emma Dorgeat, Huw Williams, Paul Bowie, Jean-Pascal Fournier, Peter Hibbert, Adrian Edwards, Rhiannon Phillips, Natalie Joseph-Williams and Andrew Carson-Stevens
    Citation: BMC Medical Research Methodology 2023 23:234
  34. When data is distributed across multiple sites, sharing information at the individual level among sites may be difficult. In these multi-site studies, propensity score model can be fitted with data within each...

    Authors: Chen Huang, Kecheng Wei, Ce Wang, Yongfu Yu and Guoyou Qin
    Citation: BMC Medical Research Methodology 2023 23:233
  35. Growth studies rely on longitudinal measurements, typically represented as trajectories. However, anthropometry is prone to errors that can generate outliers. While various methods are available for detecting ...

    Authors: Paraskevi Massara, Arooj Asrar, Celine Bourdon, Moses Ngari, Charles D. G. Keown-Stoneman, Jonathon L. Maguire, Catherine S. Birken, James A. Berkley, Robert H. J. Bandsma and Elena M. Comelli
    Citation: BMC Medical Research Methodology 2023 23:232
  36. In observational studies, double robust or multiply robust (MR) approaches provide more protection from model misspecification than the inverse probability weighting and g-computation for estimating the avera...

    Authors: Ce Wang, Kecheng Wei, Chen Huang, Yongfu Yu and Guoyou Qin
    Citation: BMC Medical Research Methodology 2023 23:231
  37. This study investigated the associations between the number of authors and collective self-citations versus citations by others.

    Authors: Cyril Jaksic, Angèle Gayet-Ageron and Thomas Perneger
    Citation: BMC Medical Research Methodology 2023 23:230

    The Correction to this article has been published in BMC Medical Research Methodology 2023 23:260

  38. Selecting and collecting data to support appropriate primary and secondary outcomes is a critical step in designing trials that can change clinical practice. In this study, we aimed to investigate who contribu...

    Authors: Heidi R. Green, Annabel Dawson, Adel Elfeky, David Pickles, Shaun Treweek and Katie Gillies
    Citation: BMC Medical Research Methodology 2023 23:229
  39. Participants in epidemiological cohorts may not be representative of the full invited population, limiting the generalizability of prevalence and incidence estimates. We propose that this problem can be remedi...

    Authors: Anton Nilsson, Jonas Björk, Ulf Strömberg and Carl Bonander
    Citation: BMC Medical Research Methodology 2023 23:228
  40. Observational studies using causal inference frameworks can provide a feasible alternative to randomized controlled trials. Advances in statistics, machine learning, and access to big data facilitate unravelin...

    Authors: Ivan Olier, Yiqiang Zhan, Xiaoyu Liang and Victor Volovici
    Citation: BMC Medical Research Methodology 2023 23:227
  41. Systematic reviews answer research questions through a defined methodology. It is a complex task and multiple articles need to be referred to acquire wide range of required knowledge to conduct a systematic re...

    Authors: Mayura Thilanka Iddagoda and Leon Flicker
    Citation: BMC Medical Research Methodology 2023 23:226
  42. INTEROCC is a seven-country cohort study of occupational exposures and brain cancer risk, including occupational exposure to electromagnetic fields (EMF). In the absence of data on individual exposures, a Job ...

    Authors: Tamer Oraby, Santanu Chakraborty, Siva Sivaganesan, Laurel Kincl, Lesley Richardson, Mary McBride, Jack Siemiatycki, Elisabeth Cardis and Daniel Krewski
    Citation: BMC Medical Research Methodology 2023 23:225
  43. Currently, there are no guidelines for the treatment of rheumatoid arthritis (RA) tailored to the context of the Kingdom of Saudi Arabia (KSA). Adaptation of guidelines accounts for contextual factors and beco...

    Authors: Joanne Khabsa, Sally Yaacoub, Mohammed A. Omair, Hanan Al Rayes and Elie A. Akl
    Citation: BMC Medical Research Methodology 2023 23:224
  44. Network meta-analysis compares multiple interventions and estimates the relative treatment effects between all interventions, combining both direct and indirect evidence. Recently, a framework was developed to...

    Authors: Virginia Chiocchia, Alexander Holloway and Georgia Salanti
    Citation: BMC Medical Research Methodology 2023 23:223

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