Risk prediction models for stress urinary incontinence after pelvic organ prolapse (POP) surgery: a systematic review and meta-analysis by Bi Jun Yu, Hao Chong He, Li Wang, Han Mei Shao, Ying Min Liu, Xiao Ying Yan, Jian Liu

“…All studies had a high risk of bias, primarily due to retrospective design, small sample sizes, single-center trials, lack of blinding, and missing data reporting. The meta-analysis revealed moderate heterogeneity (I² = 68.8%). …”
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Development and validation of the Multimorbidity Treatment Burden Questionnaire (MTBQ) by Daisy Gaunt, Chris Salisbury, Mei-See Man, Katherine Chaplin, Polly Duncan, Mairead Murphy

“…For each question, we examined the proportion of missing data and the distribution of responses. Factor analysis, Cronbach’s alpha, Spearman’s rank correlations and longitudinal regression assessed dimensional structure, internal consistency reliability, construct validity and responsiveness, respectively. …”
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Assessing the feasibility of using publicly available data sources to identify healthcare data discrepancies and enhance service delivery: a retrospective cross-sectional study of... by Sheila Leatherman, Matthew Neilson, Alix Boisson-Walsh, Jack Lewis

“…Senegal had the most comprehensive data, with 94.7% of metrics available. Missing data existed for two specific metrics in all four countries, particularly within the improving clinical care domain.Conclusion The results are a clarion call for advancing efforts to develop standardised, publicly available, routinely collected and validated data sets to measure and publicly report LHDIS countries’ state of quality to marshal global attention and action in pursuit of more significant health equity.…”
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Hemoglobin-to-red blood cell distribution width ratio as a protective factor against coronary artery disease: a cross-sectional analysis of NHANES (2011-2018) by Xin-Da Wang, Chaoya Li, Jia Hu, Fen Cao, Li Zhu, Yongzhi Zhu, Zhongzheng Wen, Jun Liu

“…After excluding participants due to age, missing data, and potential confounding factors, 6,881 individuals were included in our study. …”
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Phenotypic and genotypic drug susceptibility patterns of Mycobacterium tuberculosis isolates from pulmonary tuberculosis patients in Central and Southern Ethiopia. by Melaku Tilahun, Teklu Wegayehu, Biniam Wondale, Tewdros Tariku Gebresilase, Tesfaye Gebreyohannes, Abraham Tekola, Mekdes Alemu, Sebsib Neway, Bethlehem Adnew, Maeruf Fetu Nassir, Yonas Kassahun, Abraham Aseffa, Kidist Bobosha

“…Due to invalid results and missing data, 6% (16/266) of the isolates were excluded, while 94% (250/266) were included in the paired analysis. …”
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Factors Associated With Missing Biological Samples in the Dog Aging Project by Sydney N. Holland, Amanda K. Tinkle, Jena N. Prescott, Brianna L. Blattman, Robyn L. McClelland, Yunbi Nam, Dog Aging Project Consortium, Kate E. Creevy, Virginia R. Fajt

“…ABSTRACT Background The Dog Aging Project (DAP) is a longitudinal study examining aging in US companion dogs, where missing data pose a challenge to result validity and statistical power. …”
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Prevalence and associated factors for poor mental health among young migrants in Sweden: a cross-sectional study by Sara Causevic, Anna Mia Ekström, Nicola Orsini, Anna Kagesten, Susanne Strömdahl, Mariano Salazar

“…Mental health was measured using the Refugee Health Screener-13. Missing data indicator analysis and multivariable logistic regression models were conducted to estimate the association between mental health, sexual risk behaviour, demographic and migration-related variables. …”
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Psychological distress in adolescence and later economic and health outcomes in the United States population: A retrospective and modeling study. by Nathaniel Z Counts, Noemi Kreif, Timothy B Creedon, David E Bloom

“…This study faced limitations, including potential unmeasured confounding, missing data, and challenges to generalizability.<h4>Conclusions</h4>Our findings showed the impacts of adolescent mental health policies on the federal budget and found potentially large effects on the economy if policies achieve population-level change.…”
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Body Mass Index at Pediatric Leukemia Diagnosis and the Risks of Relapse and Mortality: Findings from a Single Institution and Meta-analysis by Ashleigh M. Saenz, Stacie Stapleton, Raquel G. Hernandez, Greg A. Hale, Neil A. Goldenberg, Skai Schwartz, Ernest K. Amankwah

“…The study included 181 pediatric leukemia patients. Sporadic missing data were multiply imputed, and hazard ratios (HR) and 95% confidence intervals (95% CI) were calculated using Cox proportional hazard. …”
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Clinical efficacy of 0.1% cyclosporine A in dry eye patients with inadequate responses to 0.05% cyclosporine A: a switching, prospective, open-label, multicenter study by Sook Hyun Yoon, Eun Chul Kim, In-Cheon You, Chul Young Choi, Jae Yong Kim, Jong Suk Song, Joon Young Hyon, Hong Kyun Kim, Kyoung Yul Seo

“…Statistical analysis was performed on the full analysis set (FAS) using the Markov Chain Monte Carlo (MCMC) method to account for missing data. After switching to 0.1% CsA, subjective symptoms assessed by the Symptom Assessment in Dry Eye (SANDE) and Ocular Discomfort Scale (ODS) showed improvement (p < 0.0001). …”
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Impact of non-invasive oxygen reserve index versus standard SpO2 monitoring on peripheral oxygen saturation during endotracheal intubation in the intensive care unit: Protocol for... by Hugo Hille, Aurélie Le Thuaut, Pierre Asfar, Quentin Quelven, Emmanuelle Mercier, Anthony Le Meur, Jean-Pierre Quenot, Virginie Lemiale, Grégoire Muller, Martin Cour, Alexis Ferré, Asael Berge, Anaïs Curtiaud, Maxime Touron, Gaetan Plantefeve, Jean-Charles Chakarian, Jean-Damien Ricard, Gwenhael Colin, Arthur Orieux, Patrick Girardie, Mathieu Jozwiak, Manon Rouaud, Camille Juhel, Jean Reignier, Jean-Baptiste Lascarrou, CRICS-TRIGGERSEP Network

“…Assuming a 10% standard deviation for the lowest SpO2 value in the control group, no missing data, and crossover of 5% of patients, with the bilateral alpha risk set at 0.05, including 950 patients will provide 85% power for detecting a 2% between-group absolute difference in the lowest SpO2 value. …”
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Large language models generating synthetic clinical datasets: a feasibility and comparative analysis with real-world perioperative data by Austin A. Barr, Joshua Quan, Eddie Guo, Emre Sezgin, Emre Sezgin

“…BackgroundClinical data is instrumental to medical research, machine learning (ML) model development, and advancing surgical care, but access is often constrained by privacy regulations and missing data. Synthetic data offers a promising solution to preserve privacy while enabling broader data access. …”
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Quality of routine malaria data captured at primary health facilities in the Hohoe Municipality, Ghana by Christopher Ayisah, Thywill Worlase Kpenu, Edem Kojo Dzantor, Clement Tetteh Narh

“…A data validation tool was developed to determine the quality of malaria indicators measuring availability, completeness (percentage of missing data), and accuracy. The data was analysed descriptively using Microsoft excel. …”
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Prevalence and risk factors associated with prehypertension in Shunde District, southern China by Yuli Huang, Yunzhao Hu, Xiaoyan Cai, Wenke Qiu, Changhua Liu, Dingji Zhu, Jinghai Hua, Yanxian Wu, Dingli Xu

“…Prehypertension was further divided into low-range (BP 120–129/80–84 mm Hg) and high-range (BP 130–139/85–89 mm Hg) subgroups.Outcome measures The prevalence of prehypertension and the combined cardiovascular risk factors within the prehypertensive subgroups.Results Of the 5362 initially reviewed cases (aged ≥35 years), 651 were excluded because of missing data. The proportions of optimal BP, prehypertension and hypertension were 39.1%, 38.6% and 22.3%, respectively. …”
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Comparison of time-to-event machine learning models in predicting biliary complication and mortality rate in liver transplant patients by Aref Andishgar, Sina Bazmi, Kamran B. Lankarani, Seyed Alireza Taghavi, Mohammad Hadi Imanieh, Gholamreza Sivandzadeh, Samira Saeian, Nazanin Dadashpour, Alireza Shamsaeefar, Mahdi Ravankhah, Hamed Nikoupour Deylami, Reza Tabrizi, Mohammad Hossein Imanieh

“…BC was diagnosed with ultrasounds and MRCP. Missing data was imputed using mean and median. Data preprocessing involved feature scaling and one-hot encoding. …”
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Pooled prevalence and associated factors of traditional uvulectom among children in Africa: A systematic review and meta-analysis. by Solomon Demis Kebede, Kindu Agmas, Demewoz Kefale, Amare Kassaw, Tigabu Munye Aytenew

“…Heterogeneity among the included studies was assessed using a forest plot, I2 statistics, and Egger's test, ensuring the robustness and reliability of the findings. Missing data was handled by random effect model and sensitivity analysis. …”
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The proper application of logistic regression model in complex survey data: a systematic review by Devjit Dey, Md. Samio Haque, Md. Mojahedul Islam, Umme Iffat Aishi, Sajida Sultana Shammy, Md. Sabbir Ahmed Mayen, Syed Toukir Ahmed Noor, Md. Jamal Uddin

“…Conclusions This systematic review highlights important gaps in the use of logistic regression with complex survey data, such as overlooking data dependencies, survey design, and proper validation techniques, along with neglecting outliers, missing data, and goodness-of-fit assessments, all of which point to the need for clearer methodological standards and more thorough reporting to improve the reliability of results. …”
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Imputation of missing land carbon sequestration data in the AR6 Scenarios Database by R. Prütz, R. Prütz, R. Prütz, R. Prütz, S. Fuss, S. Fuss, S. Fuss, J. Rogelj, J. Rogelj, J. Rogelj

“…We test and compare the performance of different regression models to impute missing data on land carbon sequestration for the global level and for several sub-global macro-regions from available data on net CO<span class="inline-formula">₂</span> emissions from agriculture, forestry, and other land uses. …”
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Measuring serious violence perpetration: comparison of police-recorded and self-reported data in a UK cohort by Rosie Cornish, Alison Teyhan, Kate Tilling, John Macleod, Iain Brennan

“…Multiple imputation using chained equations was used to impute self-reported violence data to examine the likely impact of missing data on estimates of prevalence. Results Self-reported violence perpetration in the past year ranged from 5.3% (at 25 years) to 12.9% (at 20 years) among males and 3.2% (at 17, 22, 24 and 25 years) to 6.4% (at 18 years) among females. …”
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Association of systemic immune-inflammation index (SII) with risk of psoriasis: a cross-sectional analysis of National Health and Nutrition Examination Survey 2011–2014 by Xuan Yang, Yuxin Pan, Yang Zhang, Yang Meng, Tang Tong, Mingyi Zhao

“…Multiple imputation was adopted as sensitivity analysis to address potential bias due to missing data. Results 9314 participants (≥ 20 years) were included. …”
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