A readers' guide to the interpretation of diagnostic test properties: clinical example of sepsis

Measuring the Accuracy of Diagnostic Systems

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A method of comparing the areas under receiver operating characteristic curves derived from the same cases

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Users' Guides to the Medical Literature

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Users' Guides to the Medical Literature

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Empirical evidence of design-related bias in studies of diagnostic tests.

Lijmer, J. G. (1999) · JAMA · doi:10.1001/jama.282.11.1061 · Cited by 1,861

Clinical decision analysis

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Clinical Decision Analysis

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The Threshold Approach to Clinical Decision Making

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Users' Guides to the Medical Literature

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Nomogram for Bayes's Theorem

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The role of the Inflammatory Biomarkers in the Early Production of the Severity of Paediatric Acute Pancreatitis

Yucel, A., Kılıç, A. O., & Kılınç, S. B. (2022) · Selçuk Tıp Dergisi · doi:10.30733/std.2022.01567 · Cited by 2

The Role of the Lactate/Albumin Ratio in Predicting Mortality in COVID-19 Patients in The Emergency Department

Küçükceran, K., Ayrancı, M. K., Girişgin, S., Koçak, S., & Dündar, Z. D. (2023) · Mevlana Medical Sciences · doi:10.56752/mevmedsci.2023.21 · Cited by 2

The Difference in Sibling Birthweight and Neonatal Death: A Population-Based Cohort Study

Tabet, M., Flick, L. H., Xian, H., & Chang, J. J. (2018) · American Journal of Perinatology · doi:10.1055/s-0038-1669949 · Cited by 2

Validity and Diagnostic Accuracy of the Clarke’s Angle in Determining Pediatric Flexible Flatfoot Using Radiographic Findings as a Criterion Standard Measure: A Cross-sectional Study

Hegazy, F. A., Aboelnasr, E. A., Abdel-aziem, A. A., Hassan, A. H., & Kim, I. (2021) · Journal of the American Podiatric Medical Association · doi:10.7547/20-133 · Cited by 2

Otopathogen interactions in the nasopharynx of children, and the predictive value of nasopharyngeal aspirate culture for the aetiology of upper respiratory infections

Browne, J., Matthews, E., Taylor-Robinson, A. W., & Kyd, J. M. (2021) · Journal of Paediatrics and Child Health · doi:10.1111/jpc.15370 · Cited by 2

La terapia física temprana se podría asociar a la ausencia de incapacidad funcional a veinticuatro meses en niños con artritis idiopática juvenil

Ford, J. P., & Heil, S. G. (2021) · Argentinian Journal of Respiratory & Physical Therapy · doi:10.58172/ajrpt.v3i2.167 · Cited by 2

COVID-19 vaccination acceptance in Jambi City, Indonesia: A single vaccination center study

Octavius, G. S., Yanto, T. A., Heriyanto, R. S., Nisa, H., Ienawi, C., & Pasai, H. E. (2022) · Vacunas (English Edition) · doi:10.1016/j.vacun.2022.06.004 · Cited by 3

TESTING THE UTILITY OF SELF-REPORT SCREENS TO DETECT BIPOLAR DISORDER AMONG UNDERGRADUATES By

Miller, C. J., & Miller, C. J. (2008) · Cited by 2

Remote Noninvasive Detection of Carbohydrate Metabolism Disorders by First-Lead ECG Screening in CardioQVARK Project

Shmid, A., & Mkrtumyan, A. M. (2019) · Actual Problems of Systems and Software Engineering (APSSE) · doi:10.1109/apsse47353.2019.00025 · Cited by 1

Quantifying misclassification and bias errors due to hierarchical sepsis scores in real-time sepsis diagnosis

Parente, J. D., Chase, J. G., Möeller, K., & Shaw, G. M. (2020) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2020.102116 · Cited by 1

Validation of the Norma Latina Neuropsychological Assessment Battery in Patients with Alzheimer’s Disease in Mexico

Núñez-Fernández, S., Rivera, D., Arroyo-Anlló, E. M., Jiménez, X. A. O., Camino‐Pontes, B., Salinas-Martínez, R., & Arango‐Lasprilla, J. C. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph191811322 · Cited by 1

Predicting Major Complications Following Laparotomy for Gastrointestinal Conditions Using Surgical Apgar score

Muhammad, S., Sheshe, A. A., Na'aya, H. U., Suleiman, I. E., & Bello, U. M. (2022) · Journal of West African College of Surgeons · doi:10.4103/jwas.jwas_92_22 · Cited by 1

Female sex hormones in men with migraine

Eisa, A. I. M., Moslhey, K. S., elazab, M., & el-kader, H. A. (2022) · Benha Journal of Applied Sciences · doi:10.21608/bjas.2022.284633 · Cited by 1

Veno‐arterial CO2 difference and lactate for prediction of early mortality after cardiac arrest

Lundin, A., Annborn, M., Borgquist, O., Düring, J., Undén, J., & Rylander, C. C. (2023) · Acta Anaesthesiologica Scandinavica · doi:10.1111/aas.14224 · Cited by 1

DICE: Data Imputation for Cost Estimates from Multiple Sources to Model User Decision-Making

Wu, H., Dong, Z., & Rojas‐Cessa, R. (2023) · IEEE International Conference on Tools with Artificial Intelligence (ICTAI) · doi:10.1109/ictai59109.2023.00029 · Cited by 1

Prediction of Postoperative Range of Motion after Mobile-Bearing Medial Unicompartmental Knee Arthroplasty from the Preoperative Range of Motion and Other Preoperative Factors

Anjiki, K., Hiranaka, T., Tanaka, T., Fujishiro, T., Okamoto, K., Hayashi, S., Kuroda, R., & Matsumoto, T. (2024) · The Journal of Knee Surgery · doi:10.1055/a-2280-9851 · Cited by 1

External validity of frailty discrimination using the Questionnaire for Medical Checkup of Old-Old-15 and -12

Shinohara, T., Saito, S., Maruyama, A., Yabana, Y., & Higuchi, D. (2024) · Archives of Gerontology and Geriatrics Plus · doi:10.1016/j.aggp.2024.100021 · Cited by 1

The relationship between script memory for everyday events and schizotypy: an investigation through a development of Japanese Situational Feature Recognition Test

Kikutani, M., Takiguchi, Y., Ebina, K., & Matsui, M. (2024) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2024.1345789 · Cited by 1

Performance of machine learning-based models to screen obstructive sleep apnea in pregnancy

Wang, J., Xiao, W., Hong, H., Zhang, C., Yu, M., Xu, L., Wei, J., Yang, J., Liu, Y., Yi, H., et al. (2024) · npj Women s Health · doi:10.1038/s44294-024-00030-2 · Cited by 2

Cranial Nerve Deficits Predict Pharyngeal Phase Swallowing Impairment in Patients with Neurogenic Dysphagia: A Cross-Sectional Study

Nordio, S., Maistrello, L., Koch, I., D’Imperio, D., & Battel, I. (2024) · Dysphagia · doi:10.1007/s00455-024-10787-y · Cited by 1

Fractional excretion of sodium and potassium and urinary strong ion difference in the evaluation of persistent AKI in sepsis

Rolón, N. C., Cantos, J., Huespe, I. A., Prado, E., Bratti, G., Schreck, C., Giannasi, S., Diez, G. R., & Varela, C. F. (2025) · Medicina Intensiva · doi:10.1016/j.medin.2024.01.004 · Cited by 1

Immunohistochemical method of megakaryocytic lineage staining in bone marrow biopsy specimens as an additional pathomorphological differential diagnostic sign of primary myelofibrosis and essential thrombocythemia

Asaulenko, Z. P., & Krivolapov, Y. А. (2025) · Russian Journal of Archive of Pathology · doi:10.17116/patol20258701122 · Cited by 1

Cutoff Values for Screening Post-Intensive Care Syndrome Using the Post-Intensive Care Syndrome Questionnaire

Hong, J., & Kang, J. (2025) · Journal of Clinical Medicine · doi:10.3390/jcm14113897 · Cited by 1

Doppler extremity arterial diagnosis for optimization of treatment in the emergency department (DEAD FOOT)

Schafer, J. M., Gacioch, B. Q., Beals, T., Balk, D. S., Thomas, S. H., & Hoffmann, B. (2025) · Cardiovascular Intervention and Therapeutics · doi:10.1007/s12928-025-01150-5 · Cited by 1

Advancing the development of deep learning and machine learning models for oral drugs through diverse descriptor classes: a focus on pharmacokinetic parameters (Vdss and PPB)

Bantu, R., Phukan, S., & Haydar, S. N. (2025) · Molecular Diversity · doi:10.1007/s11030-025-11235-1 · Cited by 1

Smartphone‐based interventions for the diagnosis of epileptic seizures: A systematic review and meta‐analysis

Alva‐Díaz, C., Nieto-Gutiérrez, W., Rodriguez‐López, E., Quispe‐Vicuña, C., Tavara, M. E. C., Moyano, L. M., Pacheco‐Barrios, K., & Burneo, J. G. (2025) · Epilepsia · doi:10.1111/epi.18483 · Cited by 1

Development of an instrument for screening mental health based on Ayurvedic concept of Triguna

Anandalakshmy, K. N., & Shajahan, M. A. (2025) · Journal of Ayurveda and Integrative Medicine · doi:10.1016/j.jaim.2025.101175 · Cited by 2

Preoperative Factors Associated With Falls Following Total Hip Arthroplasty in Older Adults

Hensley, C. P., Kho, A., Kritselis, A. A., Song, J., Lee, J. J., & Chang, A. H. (2025) · ACR Open Rheumatology · doi:10.1002/acr2.70091 · Cited by 1

Evaluation of the Crosslinguistic Nonword Repetition Test: Evidence From a Large and Diverse Secondary Data Set

Polišenská, K., Chiat, S., Szewczyk, J., Antonijević, S., Blom, E., Boerma, T., Bohnacker, U., Chan, A., Chondrogianni, V., Fu, N. C., et al. (2025) · Journal of Speech Language and Hearing Research · doi:10.1044/2025_jslhr-25-00158 · Cited by 1

Psychometric properties of the Hungarian version of the ages and stages questionnaires: Social–emotional‐2 for 18‐month‐old children

Pohárnok, M., Lábadi, B., Regőczi‐Balogh, E., & Kopcsó, K. (2025) · Infant Mental Health Journal · doi:10.1002/imhj.70050 · Cited by 1

Predictive accuracy of diagnostic tests for excessive bleeding in cardiac surgery: The COPTIC ‐C study

Liao, W., Grant, R., Lai, F. Y., Aujla, H., Wozniak, M. J., Patel, H. R., Green, L., Mumford, A. D., & Murphy, G. J. (2025) · Transfusion · doi:10.1111/trf.18399 · Cited by 1

Development and validation of a risk assessment tool for ischemic stroke in cancer patients

Kawano, T., Gon, Y., Morishima, T., Takasugi, J., Kanki, H., Sasaki, T., Miyashiro, I., & Mochizuki, H. (2025) · Scientific Reports · doi:10.1038/s41598-025-23958-0 · Cited by 1

Performance of artificial intelligence in predicting hepatocellular carcinoma recurrence after thermal ablation: A systematic review

Posa, A., Lippi, M., Barbieri, P., Andreani, E. V., & Iezzi, R. (2025) · World Journal of Hepatology · doi:10.4254/wjh.v17.i12.111425 · Cited by 1

Differentiation between psychotic and non-psychotic major depression by the tabular prior-data fitted network

ZHENG, H., Gan, W., Liu, Y., Duan, S., Li, K., Li, G., Xue, Y., & Xie, Y. (2026) · Journal of Affective Disorders · doi:10.1016/j.jad.2026.121454 · Cited by 1

Association and predictive value of C-reactive protein, fibrinogen and periodontal indices in periodontitis severity : a cross-sectional study

Yang, Z., Zhu, J., Sun, S., Hu, T., Yu, Q., Xiao, C., & Zhu, L. (2026) · Clinical Oral Investigations · doi:10.1007/s00784-026-06775-1 · Cited by 1

Using Vital Signs to Predict Disposition of Children Transported to the Hospital by Emergency Medical Services

Ramgopal, S., Macy, M. L., Horvat, C. M., Cash, R. E., Okubo, M., Janofsky, S., & Martin‐Gill, C. (2026) · The Journal of Pediatrics · doi:10.1016/j.jpeds.2026.115088 · Cited by 1

Accreditation Requirements in Molecular Pathology

Fernandes, H. (2009) · Cited by 1

Home care score predicts the advisability of home care when it is difficult to predict it using the functional independence measure score

Matsugi, A., Tani, K., Tamaru, Y., Yoshioka, N., Yamashita, A., Mori, N., Oku, K., Ikeda, M., Murakami, Y., Nomura, S., et al. (2016) · Journal of allied health sciences · doi:10.15563/jalliedhealthsci.7.30 · Cited by 1

Validation of Handgrip Strength as a Nutritional Assessment Tool for Hemodialysis Patients in Dr. Sardjito Hospital, Indonesia

Susetyowati, S., Alfitri, K. N., & Faza, F. (2017) · Pakistan Journal of Nutrition · doi:10.3923/pjn.2017.763.769 · Cited by 1

Navigating risk in home visitation: An examination of the predictive validity of the Healthy Families Parenting Inventory

Kelly, C. L. (2018) · Cited by 1

An Introduction to language / Victoria Fromkin, Robert Rodman)

Fromkin, V. A. (1981) · Cited by 1

Comparing the Independent and Aggregated Accuracy of Trial 1 and the First 10 TOMM Items for Detecting Invalid Neuropsychological Test Performance Across Civilian and Veteran Clinical Samples

Soble, J. R., Cerny, B. M., Ovsiew, G. P., Rhoads, T., Reynolds, T. P., Sharp, D. W., Jennette, K. J., Marceaux, J. C., O’Rourke, J. J. F., Critchfield, E. A., et al. (2022) · Perceptual and Motor Skills · doi:10.1177/00315125211066399 · Cited by 1

Creatinine Clearance Measurement with Bioelectrical Impedance Analysis in Heart Failure Patients: Comparison with Estimated-Creatinine Clearance Formulas

Scicchitano, P., Iacoviello, M., Guida, P., Palo, M. D., Potenza, A., Basile, M., Sasanelli, P., Trotta, F., Sanasi, M., Caldarola, P., et al. (2022) · Endocrine Metabolic & Immune Disorders - Drug Targets · doi:10.2174/1871530322666220531142126 · Cited by 1

The Predictive Role of Serum C16 Ceramide and C24 Dihydroceramide in Patients with Hepatocellular Carcinoma

Gamal, A., Obada, M., Elsabaawy, M., Khalil, A., & Helal, M. (2023) · The Egyptian Journal of Hospital Medicine · doi:10.21608/ejhm.2023.280194 · Cited by 1

Facet-occiput slope angle: A novel predictor of cage placement feasibility during surgery in basilar invagination patients

Alizada, M., Wang, Y., Zhao, Y., Zhang, S., Hayatullah, G., Zhang, M., Li, S., Alizada, M., Alizada, M., Lalaj, K., et al. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e21200 · Cited by 1

Kidney Cancer Detection from CT Images by Transformer-Based Classifiers

Tanaka, T., Fukazawa, T., Kameya, Y., Yamada, K., Hotta, K., Takahashi, T., Sassa, N., Matsukawa, Y., Iwano, S., & Yamamoto, T. (2023) · IIAI International Congress on Advanced Applied Informatics (IIAI-AAI) · doi:10.1109/iiai-aai59060.2023.00094 · Cited by 1

Fractional excretion of sodium and potassium and urinary strong ion difference in the evaluation of persistent AKI in sepsis

Rolón, N. C., Cantos, J., Huespe, I. A., Prado, E., Bratti, G., Schreck, C., Giannasi, S., Diez, G. R., & Varela, C. F. (2024) · Medicina Intensiva (English Edition) · doi:10.1016/j.medine.2024.02.003 · Cited by 1

External validation of the CholeS conversion from laparoscopic to open cholecystectomy ( CLOC ) risk score in Aotearoa New Zealand: a validation study

Collaborative, S. C. A. C. (2024) · ANZ Journal of Surgery · doi:10.1111/ans.18921 · Cited by 1

Bedeutung von künstlicher Intelligenz für die Risikoerkennung vor chirurgischen Eingriffen

Rosenberg, G. S., & Egloff, C. (2024) · Arthroskopie · doi:10.1007/s00142-024-00673-y · Cited by 1

Development process, clinical utility, and preliminary psychometric evidence of a new tool for screening psychological distress in renal care settings: the Hemodialysis Distress Thermometer (HD-DT)

Sousa, H., Ribeiro, Ó., & Figueiredo, D. (2024) · Psychology and Health · doi:10.1080/08870446.2024.2347662 · Cited by 1

Relationship between intervertebral disc height and post operative dysphagia secondary to single-level anterior cervical discectomy and fusion- a retrospective study

Shen, B., Gao, Z., Wang, B., Huang, Y., & Wu, D. (2024) · BMC Musculoskeletal Disorders · doi:10.1186/s12891-024-07461-7 · Cited by 1

Serum IgG Antibody against Helicobacter pylori and the CagA-VacA s1 Genotype as a Predictor of Gastric Cancer Development: A Case-control Study

Sarma, A., Borkakoti, J., Sarma, M. K., & Saikia, L. (2024) · Journal of Pure and Applied Microbiology · doi:10.22207/jpam.18.4.06 · Cited by 1

Immune complexome analysis reveals an autoimmune signature predictive of COVID-19 severity

Moriishi, M., Takazono, T., Hashizume, J., Aibara, N., Kutsuna, Y. J., Okamoto, M., Sawai, T., Hoshino, T., Mori, Y., Fukuda, Y., et al. (2024) · Clinical Biochemistry · doi:10.1016/j.clinbiochem.2024.110865 · Cited by 1

Reader Comment Regarding “A new score predicting renal replacement therapy in patients with crush injuries: Analysis of a major earthquake”

Kudu, E., Altun, M., & Korgan, M. B. (2024) · The American Journal of Emergency Medicine · doi:10.1016/j.ajem.2024.12.036 · Cited by 1

Machine learning-based prognostic modeling and surgical value analysis of de novo metastatic invasive ductal carcinoma of the breast

Wei, C., Li, H., Li, J., Liu, Y., Zeng, J., & Tian, Q. (2025) · Updates in Surgery · doi:10.1007/s13304-025-02066-8 · Cited by 1

Using Life-Saving Interventions to Determine Optimal Vital Sign Ranges among Adults Encountered by Emergency Medical Services

Ramgopal, S., Callaway, C. W., Martin‐Gill, C., & Okubo, M. (2025) · Prehospital and Disaster Medicine · doi:10.1017/s1049023x25001542 · Cited by 1

Bibliometric Analysis: Insights Into the Podiatric Medicine Landscape of Diabetic Sensory Peripheral Neuropathy and Genomics

Jones, B., Pengelly, R. J., Borthwick, A., & Bowen, C. J. (2025) · Journal of Foot and Ankle Research · doi:10.1002/jfa2.70062

Revisiting the low birthweight paradox using sibling data with implications for the classification of low birthweight

Tabet, M., Flick, L. H., Xian, H., & Chang, J. J. (2018) · Journal of Public Health · doi:10.1093/pubmed/fdy087 · Cited by 1

Accuracy of waist circumference for predicting other components of metabolic syndrome: evidence from the Bambuí cohort study of the elderly

de Morais, K. B. D., César, C. C., Peixoto, S. V., & Lima‐Costa, M. F. (2018) · Revista Brasileira de Geriatria e Gerontologia · doi:10.1590/1981-22562018021.180058 · Cited by 1

Development of a risk prediction model for acute kidney injury after coronary artery bypass grafting: methodological issues

Liu, S.-H., Xue, F., Li, Z., & Hou, H. (2020) · International Urology and Nephrology · doi:10.1007/s11255-020-02428-8 · Cited by 1

The Role of Cardiac Biomarkers as Predictors of In-hospital Mortality among COVID patients in a Tertiary Hospital in Metro Manila, Philippines

Ong, R. J., Chacon, C., & Javier, S. P. (2020) · ASEAN heart journal · doi:10.31762/ahj2028.0103 · Cited by 1

Functional Factors Related to Stroke Patients’ Ability to Ascend and Descend Steps

NAKASO, N., MATSUURA, A., & HARADA, K. (2020) · Rigakuryoho Kagaku · doi:10.1589/rika.35.873 · Cited by 1

A proof of concept study for machine learning application to stenosis detection

Jones, G., Parr, J., Nithiarasu, P., & Pant, S. (2021) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-021-02424-9 · Cited by 1

Development of a short-form Swedish version of the Montreal Cognitive Assessment (s-MoCA-SWE): protocol for a cross-sectional study

Abzhandadze, T., Lundström, E., Buvarp, D., Eriksson, M., Quinn, T. J., & Sunnerhagen, K. S. (2021) · BMJ Open · doi:10.1136/bmjopen-2021-049035 · Cited by 1

Investigating the Characteristics of Academia-Industrial Cooperation-based Patents for their Long-term Use

Park, S., Choi, Y., & Lee, S. (2021) · Journal of the Korea Academia-Industrial cooperation Society · doi:10.5762/kais.2021.22.3.568 · Cited by 1

A Comparison of the Performance of Out-of-hospital Cardiac Arrest Score and Standard Severity Scores in Predicting Hospital Mortality and Neurological Consequence in Out-of-hospital Cardiac Arrest Patients

Sathaporn, N., & Khwannimit, B. (2021) · Journal of Health Science and Medical Research · doi:10.31584/jhsmr.2021821 · Cited by 1

Prediction of in‑hospital recurrence and false‑negative results in patients with COVID‑19 by red blood cell values on admission

Jiang, X. S., Hu, Y., Qu, X.-P., Xu, D., Jiang, H., Li, C., Jiang, H., Wang, D., Li, G., Zhu, X., et al. (2021) · Experimental and Therapeutic Medicine · doi:10.3892/etm.2021.10685 · Cited by 1

回復期リハビリテーション病棟の脳卒中患者における「家事再開予測モデル」の外的妥当性

小林, 竜., & 法一, 小. (2021) · 作業療法 · doi:10.32178/jotr.40.5_608 · Cited by 1

Early Detection and Referral of Young Children with Psychosocial Problems in the Preventive Child Health Care

Mieloo, C. L. (2015) · RePub (Erasmus University Rotterdam) · Cited by 2

Weighing the Evidence: Likelihood Ratios

Neuspiel, D. R. (2005) · AAP Grand Rounds · doi:10.1542/gr.14-6-62 · Cited by 1

Cardiac troponin and risk stratification in pulmonary embolism

Delerme, S., & Ray, P. (2008) · The American Journal of Emergency Medicine · doi:10.1016/j.ajem.2007.04.009 · Cited by 1

A model-based clinical biomarker for sepsis diagnosis in critical care patients.

Parente, J. D. (2015) · UC Research Repository (University of Canterbury) · doi:10.26021/3171 · Cited by 1

Procalcitonin for sepsis: Methodological issues in meta-analysis lead to further uncertainty

Uzzan, B., Cohen, R., Nicolas, P., Cucherat, M., & Perret, G. Y. (2007) · Critical Care Medicine · doi:10.1097/01.ccm.0000254055.11833.07 · Cited by 1

The Relationship Between Increased Intervertebral Disc Height (IDH) and Development of Postoperative Dysphagia After Single-level Anterior Cervical Discectomy and Fusion (ACDF) — A retrospective Study of 217 CasesPreprint

Gao, Z., Wang, Q., Wang, B., Guo, K., Lu, J., Wu, D., & Huang, Y. (2022) · Research Square · doi:10.21203/rs.3.rs-2031595/v1 · Cited by 1

Response to letter to the editor regarding “Does the 5-2-1 criteria identify patients with advanced Parkinson’s disease? Real-world screening accuracy and burden of 5-2-1-positive patients in 7 countries”

Antonini, A., Chaudhuri, К. R., Domingos, J., Shahed, J. J., Wright, J., Yan, C. H., Alobaidi, A., Bergmann, L., Onuk, K., Harmer, L., et al. (2024) · BMC Neurology · doi:10.1186/s12883-024-03691-3 · Cited by 1

Using Exercise Intensity to Predict a Minimal Clinically Important Difference in the Six-Minute Walk Test in People with Chronic StrokePreprint

McCartney, K. M., Boyne, P., Pohlig, R. T., Morton, S. M., & Reisman, D. S. (2025) · medRxiv · doi:10.1101/2025.04.15.25325882 · Cited by 1

Postprocessing-Enhanced Machine Learning for Reliable Real-Time Sleep Staging in Closed-Loop NeuromodulationPreprint

Chae, T. S., Jeong, J., Tang, K. W. K., Moscoso-Barrera, W. D., Baird, B., Wei, X.-X., Millán, J. D. R., & Wang, H. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.09.22.677765 · Cited by 1

Monitoring the treatment and health of patients accessing HIV care in low and middle-income countries

Hoskins, S. (2014) · UCL Discovery (University College London) · Cited by 1

Principales recommandations pour l’évaluation d’un biomarqueur

Riou, B. (2012) · Références en médecine d'urgence · doi:10.1007/978-2-8178-0297-8_2

Probability, Bayes' Theorem, Medical Diagnostic Evaluation, and Screening

Hoffman, J. I. E. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-802387-7.00021-4

An investigation of clinical and sensor-based fall-risk assessment in community-dwelling older adults

Power, V. (2014) · University of Limerick Institutional Repository (University of Limerick) · doi:10.34961/7848

PP118-SUN CUT-OFF SCORES FOR THE MINIMAL EATING OBSERVATION AND NUTRITION FORM – VERSION II (MEONF-II) AMONG HOSPITAL INPATIENTS

Westergren, A., Norberg, E., Vallén, C., & Hagell, P. (2011) · Clinical Nutrition Supplements · doi:10.1016/s1744-1161(11)70172-7

Optimal Screening Cut-Off Points for Renal Impairment in Rural Korean Older Adults Taking Medications

Kim, C., & Shin, D.-S. (2010) · Journal of Gerontological Nursing · doi:10.3928/00989134-20100330-07

OPTIMIZATION OF A SEROLOGICAL ASSAY SYSTEM FOR ESTABLISHING INFECTION OF KAPOSI'S SARCOMA ASSOCIATED HERPESVIRUS (KSHV) IN MULTIPLE POPULATIONS AT VARYING LEVELS OF RISK

Laney, A. S. (2006) · D-Scholarship@Pitt (University of Pittsburgh)

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Gehlbach, B. K., Salamanca, V. R., Levitt, J. E., Sachs, G. A., Sweeney, M. K., Pohlman, A. S., Charbeneau, J., Krishnan, J. A., & Hall, J. B. (2011)

Letters to the Editor

Liao, Y., Lee, T.-S., & Lin, Y. (2007) · The Journal of Trauma: Injury, Infection, and Critical Care · doi:10.1097/ta.0b013e3180f61bf9

Walking the Walk: Exploring the Utility of a Computerized Gait Method in Feigned Symptom Detection

Viklund, A. L. (2015) · doi:10.82465/6578

Diagnostic Tests in Neonatology: Evaluation and Interpretation Using Sepsis as an Example

Rajani, A. K., & Philip, A. G. S. (2011) · NeoReviews · doi:10.1542/neo.12-7-e368

Procalcitonin als Prognoseparameter bei chirurgischen Intensivpatienten

München, L.-M.-U. (2010)

The Diagnostic Significance of Hemogram Indicators and Serum Markers of Inflammation in Serious Bacterial Infections in Children Under 5 Years of Age

Мельничук, О. С., Kulichenko, T. V., Mayanskiy, N. A., & Малахова, А. Е. (2016) · Вопросы современной педиатрии · doi:10.15690/vsp.v15i1.1502

Guideline development group declarations of interest

Internal Clinical Guidelines Team (2014)

Características clínicas de la sepsis neonatal temprana en el Hospital Nacional Dos de Mayo, 2015

Medicina, F. D., & Humana, M. (2016)

Techniques for Goal-Directed Fluid Management

Marik, P. E. (2016) · Springer eBooks · doi:10.1007/978-3-319-39141-0_4

Adverse Nephrotoxic Events in Critically Ill Children: A Pharmacoepidemiologic Evaluation

Slater, M. B. (2014) · TSpace (University of Toronto)

Usefulness of the Convergence Insufficiency Symptom Survey in Screening for Accommodative and Convergence Dysfunctions in College Students

Okano, M., Uchikawa, Y., Tamura, S., Saito, S., & Kawano, J.-I. (2016) · JAPANESE ORTHOPTIC JOURNAL · doi:10.4263/jorthoptic.045f102

Teste de memória integrativa: comparação de desempenho entre demência frontotemporal variante comportamental e doença de Alzheimer

Cecchini, M. A. (2018) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/d.5.2018.tde-20022018-101250

Reply to the Letter to the Editor: methodological issues on the clinical importance of the 75-g glucose tolerance test (GTT) in the prediction of large-for-gestational-age (LGA) fetuses in non-diabetic pregnancies

Fadıloğlu, E., & Beksaç, M. S. (2019) · Journal of Perinatal Medicine · doi:10.1515/jpm-2019-0110

Validating a Global Measure of Severity in Children with Chronic Conditions

Tompke, B. K. (2019) · UWSpace (University of Waterloo)

Improving the Detection of Feigned Factual Knowledge Deficits in Defendants Adjudicated Incompetent to Proceed

Gottfried, E. D. (2014)

Dyslipidemia in Newfoundland: findings from Canadian primary care sentinel surveillance network in Newfoundland and Labrador

Oake, J. D. (2019) · Memorial University Research Repository (Memorial University)

Diagnostic Tests in Neonatology: Evaluation and Interpretation Using Sepsis as an Example

Rajani, A. K., & Philip, A. G. S. (2011) · NeoReviews · doi:10.1542/neo.12-7-e368

Accuracy of presepsin in neonatal sepsis: systematic review and meta-analysis

Parri, N., Trippella, G., Lisi, C., de Martino, M., Galli, L., & Chiappini, E. (2019) · Expert Review of Anti-infective Therapy · doi:10.1080/14787210.2019.1584037 · Cited by 40

Beyond the Complete Blood Cell Count and C-Reactive Protein

Malik, A., Hui, C. P., Pennie, R. A., & Kirpalani, H. M. (2003) · Archives of Pediatrics and Adolescent Medicine · doi:10.1001/archpedi.157.6.511 · Cited by 113

Research Methods: Diagnostic Test Characteristics

Mediratta, R. P., Newman, T. B., & Wang, M. E. (2023) · Hospital Pediatrics · doi:10.1542/hpeds.2023-007149 · Cited by 12

An introduction to sensitivity, specificity, predictive values and likelihood ratios

Chu, K. (1999) · Emergency Medicine Australasia · doi:10.1046/j.1442-2026.1999.00041.x · Cited by 137