Understanding diagnostic tests 3: receiver operating characteristic curves

Estimation of the Youden Index and its Associated Cutoff Point

Fluss, R., Faraggi, D., & Reiser, B. (2005) · Biometrical Journal · doi:10.1002/bimj.200410135 · Cited by 2,656

Principles and practical application of the receiver-operating characteristic analysis for diagnostic tests

Greiner, M., Pfeiffer, D., & Smith, R. D. (2000) · Preventive Veterinary Medicine · doi:10.1016/s0167-5877(00)00115-x · Cited by 1,923

The Inconsistency of “Optimal” Cutpoints Obtained using Two Criteria based on the Receiver Operating Characteristic Curve

Perkins, N. J., & Schisterman, E. F. (2006) · American Journal of Epidemiology · doi:10.1093/aje/kwj063 · Cited by 1,794

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

Fischer, J. E., Bachmann, L. M., & Jaeschke, R. (2003) · Intensive Care Medicine · doi:10.1007/s00134-003-1761-8 · Cited by 890

Understanding diagnostic tests 1: sensitivity, specificity and predictive values

Akobeng, A. K. (2007) · Acta Paediatrica · doi:10.1111/j.1651-2227.2006.00180.x · Cited by 711

Statistics Notes: Diagnostic tests 3: receiver operating characteristic plots

Altman, D. G., & Bland, J. M. (1994) · BMJ · doi:10.1136/bmj.309.6948.188 · Cited by 599

ROC Curves in Clinical Chemistry: Uses, Misuses, and Possible Solutions

Obuchowski, N. A., Lieber, M. L., & Wians, F. H. (2004) · Clinical Chemistry · doi:10.1373/clinchem.2004.031823 · Cited by 358

How to report statistics in medicine: annotated guidelines for authors, editors, and reviewers

(1997) · Choice Reviews Online · doi:10.5860/choice.35-1556 · Cited by 309

Diagnostic markers of infection: comparison of procalcitonin with C reactive protein and leucocyte count

Hatherill, M., Tibby, S. M., Sykes, K., Turner, C., & Murdoch, I. (1999) · Archives of Disease in Childhood · doi:10.1136/adc.81.5.417 · Cited by 260

How to Report Statistics in Medicine

Lang, T. A., & Secic, M. (1997) · The Nurse Practitioner · doi:10.1097/00006205-199705000-00022 · Cited by 209

Velar Closing Ratio As a Predictor for the Verlopharyngeal Function After Double Opposing Z-Plasty for Postpalatoplasty Velopharyngeal Insufficiency in Patients With Cleft Palate

Wu, C., Huang, F., Hsieh, C., Fu, C.-P., Tsai, Y.-L., & Lai, J.-P. (2020) · The Cleft Palate-Craniofacial Journal · doi:10.1177/1055665620954085 · Cited by 14

Dynamic CTA-Derived Perfusion Maps Predict Final Infarct Volume: The Simple Perfusion Reconstruction Algorithm

McDougall, C. C., Chan, L., Sachan, S., Guo, J., Sah, R. G., Menon, B. K., Demchuk, A. M., Hill, M. D., Forkert, N. D., d’Esterre, C. D., et al. (2020) · American Journal of Neuroradiology · doi:10.3174/ajnr.a6783 · Cited by 14

A New Molecular Detection System for Canine Distemper Virus Based on a Double-Check Strategy

Halecker, S., Bock, S., Beer, M., & Hoffmann, B. (2021) · Viruses · doi:10.3390/v13081632 · Cited by 14

Integrated Analysis of Competitive Endogenous RNA Networks in Acute Ischemic Stroke

Wu, Z., Wei, W., Fan, H., Gu, Y., Li, L., & Wang, H. (2022) · Frontiers in Genetics · doi:10.3389/fgene.2022.833545 · Cited by 14

Clinical Impact of Predicting CCND1 Amplification Using Plasma DNA in Superficial Esophageal Squamous Cell Carcinoma

Komatsu, S., Ichikawa, D., Hirajima, S., Takeshita, H., Shiozaki, A., Fujiwara, H., Kawaguchi, T., Miyamae, M., Konishi, H., Kubota, T., et al. (2014) · Digestive Diseases and Sciences · doi:10.1007/s10620-013-3005-2 · Cited by 16

Comparison of the results of intradermal test reactivity and serum allergen‐specific I g E measurement for M alassezia pachydermatis in atopic dogs

Oldenhoff, W. E., Frank, G., & DeBoer, D. J. (2014) · Veterinary Dermatology · doi:10.1111/vde.12159 · Cited by 14

Assessing upper extremity capacity as a potential indicator of needs related to household activities for rehabilitation services in people with myotonic dystrophy type 1

Raymond, K., Auger, L.-P., Cormier, M.-F., Vachon, C., St-Onge, S., Mathieu, J., Noreau, L., & Gagnon, C. (2015) · Neuromuscular Disorders · doi:10.1016/j.nmd.2015.03.015 · Cited by 14

Identifying an efficient set of items sensitive to clinical-range externalizing problems in children.

Petersen, I. T., Bates, J. E., Dodge, K. A., Lansford, J. E., & Pettit, G. S. (2015) · Psychological Assessment · doi:10.1037/pas0000185 · Cited by 14

Optimal tumor shrinkage predicts long-term outcome in advanced nonsmall cell lung cancer (NSCLC) treated with target therapy

He, X., Zhang, Y., Ma, Y., Zhou, T., Zhang, J., Hong, S., Sheng, J., Zhang, Z., Yang, Y., Huang, Y., et al. (2016) · Medicine · doi:10.1097/md.0000000000004176 · Cited by 14

Gait analysis of patients with knee osteoarthritis by using elevation angle: confirmation of the planar law and analysis of angular difference in the approximate plane

Ishikawa, Y., An, Q., Nakagawa, J., Oka, H., Yasui, T., Tojima, M., Inokuchi, H., Haga, N., Yamakawa, H., Tamura, Y., et al. (2016) · Advanced Robotics · doi:10.1080/01691864.2016.1229217 · Cited by 14

Age-based ultrasonographic criteria for diagnosis of autosomal dominant polycystic kidney disease in Persian cats

Guerra, J. M., de Freitas, M. F., Daniel, A. G., Pellegrino, A., Cardoso, N., de Castro, I., Onuchic², L. F., & Cogliati, B. (2018) · Journal of Feline Medicine and Surgery · doi:10.1177/1098612x18764591 · Cited by 14

Automatic Bowel Motility Evaluation Technique for Noncontact Sound Recordings

Sato, R., Emoto, T., Gojima, Y., & Akutagawa, M. (2018) · Applied Sciences · doi:10.3390/app8060999 · Cited by 14

The Mini-Balance Evaluation System Test Can Predict Falls in Clinically Stable Outpatients With COPD

Pereira, A. C., Xavier, R. F., Lopes, A. C., Silva, C. C. B. M., Oliveira, C. C., Fernandes, F. L. A., Stelmach, R., & Carvalho, C. R. F. (2019) · Journal of Cardiopulmonary Rehabilitation and Prevention · doi:10.1097/hcr.0000000000000427 · Cited by 14

A pedestrian serious injury risk prediction method based on posted speed limit

Nishimoto, T., Kubota, K., & Ponte, G. (2019) · Accident Analysis & Prevention · doi:10.1016/j.aap.2019.04.021 · Cited by 14

Predictors of safety margin for coracoid transfer: a cadaveric morphometric analysis

Shibata, T., Izaki, T., Miyake, S., Doi, N., Arashiro, Y., Shibata, Y., Irie, Y., Tachibana, K., & Yamamoto, T. (2019) · Journal of Orthopaedic Surgery and Research · doi:10.1186/s13018-019-1212-z · Cited by 14

Why Screening Canadian Preschoolers for Language Delays Is More Difficult Than It Should Be

Frisk, V. A., Montgomery, L., Boychyn, E., Young, R., vanRyn, E., McLachlan, D., & Neufeld, J. (2009) · Infants & Young Children · doi:10.1097/iyc.0b013e3181bc4db6 · Cited by 16

30-minute postload plasma glucose levels during an oral glucose tolerance test predict the risk of future type 2 diabetes: the Hisayama Study

Hirakawa, Y., Hata, J., Yoshinari, M., Higashioka, M., Yoshida, D., Shibata, M., Honda, T., Sakata, S., Kato, H., Teramoto, T., et al. (2020) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2019-001156 · Cited by 14

Malignant diagnosis and prognostic analysis of 89 GIST patients using preoperative FDG-PET

Narushima, K., Shuto, K., Okazumi, S., Ohira, G., Mori, M., Hayano, K., Yanagawa, N., & Matsubara, H. (2023) · Scientific Reports · doi:10.1038/s41598-023-29038-5 · Cited by 13

The health and economic burden of dust pollution in the textile industry of Faisalabad, Pakistan

Khan, M. A., Muhmood, K., Mahmood, H. Z., Khaliq, I. H., & Zaman, S. (2024) · Journal of the Egyptian Public Health Association · doi:10.1186/s42506-024-00150-2 · Cited by 13

Stereotactic body radiation therapy for post-pulmonary lobectomy isolated lung metastasis of thoracic tumor: survival and side effects

Xiong, W., Xu, Q., Xu, Y., Sun, C., Li, N., Zhou, L., Liu, Y., Zhou, X., Wang, Y., Wang, J., et al. (2014) · BMC Cancer · doi:10.1186/1471-2407-14-719 · Cited by 13

Prediction of femoral head collapse in osteonecrosis using 18F-fluoride positron emission tomography

Kubota, S., Inaba, Y., Kobayashi, N., Tateishi, U., Ike, H., Inoue, T., & Saito, T. (2015) · Nuclear Medicine Communications · doi:10.1097/mnm.0000000000000284 · Cited by 13

Possible involvement of ΔNp63 downregulation in the invasion and metastasis of oral squamous cell carcinoma via induction of a mesenchymal phenotype

Goto, Y., Kawano, S., Matsubara, R., Kiyosue, T., Hirano, M., Jinno, T., Maruse, Y., Toyoshima, T., Kitamura, R., Tanaka, H., et al. (2013) · Clinical & Experimental Metastasis · doi:10.1007/s10585-013-9628-z · Cited by 13

The generalizability of the Risk Matrix 2000: On model shrinkage and the misinterpretation of the area under the curve.

Cooke, D. J., & Michie, C. (2013) · Journal of Threat Assessment and Management · doi:10.1037/tam0000004 · Cited by 13

Sarcopenia and physical activity in older male cardiac patients

Izawa, K. P., Watanabe, S., Oka, K., Kasahara, Y., Morio, Y., Hiraki, K., Hirano, Y., Omori, Y., Suzuki, N., Kida, K., et al. (2016) · International Journal of Cardiology · doi:10.1016/j.ijcard.2016.07.167 · Cited by 13

Nasometric Scores in spinal and bulbar muscular atrophy - Effects of palatal lift prosthesis on dysarthria and dysphagia

Tanaka, S., Hashizume, A., Hijikata, Y., Yamada, S., Ito, D., Nakayama, A., Kurita, K., Yogo, H., Banno, H., Suzuki, K., et al. (2019) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2019.116503 · Cited by 13

Epidemiology of respiratory diseases and associated factors among female textile workers in Pakistan

Khan, M. A., Muhmood, K., Noureen, S., Mahmood, H. Z., & Amir‐ud‐Din, R. (2020) · International Journal of Occupational Safety and Ergonomics · doi:10.1080/10803548.2020.1751973 · Cited by 13

Assessment of Asthma Control and Quality of Life among Asthmatic Patients Attending Armed Forces Referral and Teaching Hospital, Addis Ababa, Ethiopia

Zeru, T. G., Engidawork, E., & Berha, A. B. (2020) · Pulmonary Medicine · doi:10.1155/2020/5389780 · Cited by 13

Electrocardiographic Machine Learning to Predict Left Ventricular Diastolic Dysfunction in Asian Young Male Adults

Lin, G., & Lu, H. H. (2021) · IEEE Access · doi:10.1109/access.2021.3069232 · Cited by 13

Hepatocellular carcinoma diagnosis using a novel electrochemiluminescence immunoassay targeting serum IgM-free AIM

Shimizu, T., Sawada, T., Asai, T., Kanetsuki, Y., Hirota, J., Moriguchi, M., Nakajima, T., Miyazaki, T., & Okanoue, T. (2022) · Clinical Journal of Gastroenterology · doi:10.1007/s12328-021-01567-4 · Cited by 13

Concurrent wasting and stunting among children 6–59 months: an analysis using district-level survey data in Mozambique

Zaba, T., Conkle, J., Nyawo, M., Foote, D., & Myatt, M. A. (2022) · BMC Nutrition · doi:10.1186/s40795-022-00508-9 · Cited by 13

Does One Size Fit All? External Validation of the rCAST Score to Predict the Hospital Outcomes of Post-Cardiac Arrest Patients Receiving Targeted Temperature Management

Chen, C., Wang, C.-J., Wang, I.-T., Yang, S.-H., Wang, Y., & Lin, C.-Y. (2022) · Journal of Clinical Medicine · doi:10.3390/jcm12010242 · Cited by 13

Chronic low back pain patients with accompanying leg pain: The relationship between pain extent and pain intensity, disability and health status

Prins, M. R., van der Wurff, P., & Groen, G. J. (2013) · Journal of Back and Musculoskeletal Rehabilitation · doi:10.3233/bmr-2012-00350 · Cited by 13

Postmortem serum levels of amylase and gamma glutamyl transferase (GGT) as markers of systemic tissue damage in forensic autopsy

Michiue, T., Ishikawa, T., Inamori-Kawamoto, O., Chen, J., Wang, Q., Zhu, B.-L., & Maeda, H. (2012) · Legal Medicine · doi:10.1016/j.legalmed.2012.09.003 · Cited by 13

Screening for Substance Use Disorders Following Traumatic Brain Injury

Bryce, S., Spitz, G., & Ponsford, J. (2014) · Journal of Head Trauma Rehabilitation · doi:10.1097/htr.0000000000000091 · Cited by 13

Serum N ‐Glycan Profiling Predicts Prognosis in Patients Undergoing Hemodialysis

Hatakeyama, S., Amano, M., Tobisawa, Y., Yoneyama, T., Tsushima, M., Hirose, K., Yoneyama, T., Hashimoto, Y., Koie, T., Saitoh, H., et al. (2013) · The Scientific World JOURNAL · doi:10.1155/2013/268407 · Cited by 13

Evaluation and development of a real-time predictive model for ultrasound investigation of malignant thyroid nodules

Cheng, P., Chou, H., Wang, C., Lo, W., & Liao, L. (2013) · European Archives of Oto-Rhino-Laryngology · doi:10.1007/s00405-013-2629-3 · Cited by 13

Role of glycated hemoglobin in the screening and diagnosis of posttransplantation diabetes mellitus after renal transplantation: A diagnostic accuracy study

Pimentel, A. L., Carvalho, L. S. A. K., Marques, S. S., Franco, R. F., Silveiro, S. P., Manfro, R. C., & Camargo, J. L. (2015) · Clinica Chimica Acta · doi:10.1016/j.cca.2015.03.016 · Cited by 13

Indications for the use of temporary arterial occlusion during aneurysm repair: an institutional experience

Eftekhar, B., & Morgan, M. K. (2011) · Journal of Clinical Neuroscience · doi:10.1016/j.jocn.2010.12.009 · Cited by 13

[The accuracy of HADS and GHQ-12 in detecting psychiatric morbidity in breast cancer patients].

Boothby, M. R. K., Hill, J., Holcombe, C., Clark, L., Fisher, J., & Salmon, P. (2010) · PubMed · Cited by 13

Role of Gonadotropin-releasing Hormone Stimulation Test in Diagnosing Gonadotropin Deficiency in Both Males and Females with Delayed Puberty

Sun, Q., Zheng, Y., Zhang, X., & Mu, Y. (2015) · Chinese Medical Journal · doi:10.4103/0366-6999.164926 · Cited by 13

Activities of daily living independence level for home discharge in stroke patients based on number of caregivers: an analysis of the Japan Rehabilitation Database

Sato, A., Fujita, T., & Yamamoto, Y. (2017) · Physical Therapy Research · doi:10.1298/ptr.e9914 · Cited by 13

Predicting potential rice damage by insect pests using land use data: A 3-year study for area-wide pest management

Tabuchi, K., Murakami, T., Okudera, S., Furihata, S., Sakakibara, M., Takahashi, A., & Yasuda, T. (2017) · Agriculture Ecosystems & Environment · doi:10.1016/j.agee.2017.08.009 · Cited by 13

Insulin resistance indices and coronary risk in adults from Maracaibo city, Venezuela: A cross sectional study

Salazar, J. J., Bermúdez, V., Olivar, L. C., Torres, W., Palmar, J., Áñez, R., Ordóñez, M. G., Rivas, J. R., Martínez, M. S., Hernández-Lalinde, J., et al. (2018) · F1000Research · doi:10.12688/f1000research.13610.2 · Cited by 13

Predictive factors for the development of irinotecan-related cholinergic syndrome using ordered logistic regression analysis

Kanbayashi, Y., Ishikawa, T., Kanazawa, M., Nakajima, Y., Tabuchi, Y., Kawano, R., Yoshioka, T., Yoshida, N., Hosokawa, T., Takayama, K., et al. (2018) · Medical Oncology · doi:10.1007/s12032-018-1142-3 · Cited by 13

Validity and Reliability of the Turkish SingingVoice Handicap Index-10

Aydınlı, F. E., Akbulut, S., Özcebe, E., Kuşçu, O., Yılmaz, T., Rosen, C. A., & Gartner‐Schmidt, J. L. (2018) · Journal of Voice · doi:10.1016/j.jvoice.2018.11.011 · Cited by 13

Which swallowing difficulty of food consistency is best predictor for oropharyngeal dysphagia risk in older person?

Umay, E., Eyigör, S., Karahan, A. Y., Keskin, D., Karaca, G., Ünlü, Z., Tıkız, C., Vural, M., Aydeniz, B., Alemdaroğlu, E., et al. (2019) · European Geriatric Medicine · doi:10.1007/s41999-019-00206-z · Cited by 15

Is the Brief-BESTest Brief Enough? Suggested Modifications Based on Structural Validity and Internal Consistency

Godi, M., Giardini, M., Arcolin, I., Ferrante, S., Nardone, A., Corna, S., & Colombo, R. (2019) · Physical Therapy · doi:10.1093/ptj/pzz103 · Cited by 14

Altered Levels of mRNAs for Calcium-Binding/Associated Proteins, Annexin A1, S100A4, and TMEM64, in Peripheral Blood Mononuclear Cells Are Associated with Osteoporosis

Dera, A. A., Ranganath, L. R., Barraclough, R., Vinjamuri, S., Hamill, S., Mandourah, A. Y., & Barraclough, D. L. (2019) · Disease Markers · doi:10.1155/2019/3189520 · Cited by 13

Minimal clinically important difference in postoperative recovery among patients with gastrointestinal cancer

Hara, T., Kogure, E., Iijima, S., Fukawa, Y., Akira, K. U. B. O., & Kakuda, W. (2021) · Supportive Care in Cancer · doi:10.1007/s00520-021-06632-9 · Cited by 13

Full Mini Nutritional Assessment and Prognosis in Elderly Patients with Pulmonary Tuberculosis

Miyata, S., Tanaka, M., & Ihaku, D. (2013) · Journal of the American College of Nutrition · doi:10.1080/07315724.2013.826114 · Cited by 11

Use of Transcutaneous Bilirubin to Determine the Need for Phototherapy in Resource-Limited Settings

Olusanya, B. O., & Emokpae, A. A. (2017) · Neonatology · doi:10.1159/000452788 · Cited by 13

Geometric analysis of ruptured and nonruptured abdominal aortic aneurysms

Kimura, M., Hoshina, K., Miyahara, K., Nitta, J., Kobayashi, M., YAMAMOTO, S., & Ohshima, M. (2018) · Journal of Vascular Surgery · doi:10.1016/j.jvs.2018.04.035 · Cited by 13

Preoperative Prediction of Ki-67 Labeling Index By Three-dimensional CT Image Parameters for Differential Diagnosis Of Ground-Glass Opacity (GGO)

Peng, M., Peng, F., Zhang, C., Wang, Q., Zhao, L., Hu, H., Liu, S., Xu, B., Zhu, W., Han, Y., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0129206 · Cited by 13

Prediction of Vitamin D Deficiency in Older Adults: The Role of Machine Learning Models

Sluyter, J., Raita, Y., Hasegawa, K., Reid, I. R., Scragg, R. K. R., & Camargo, C. A. (2022) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgac432 · Cited by 13

Machine learning-based signal quality assessment for cardiac volume monitoring in electrical impedance tomography

Hyun, C. M., Jang, T. J., Nam, J., Kwon, H., Jeon, K., & Lee, K. (2023) · Machine Learning Science and Technology · doi:10.1088/2632-2153/acc637 · Cited by 12

Clinical impact of radiation-induced myocardial damage detected by cardiac magnetic resonance imaging and dose-volume histogram parameters of the left ventricle as prognostic factors of cardiac events after chemoradiotherapy for esophageal cancer

Umezawa, R., Ota, H., Takagi, H., Kadoya, N., Nakajima, Y., Takahashi, N., Yamamoto, T., Takase, K., & Jingu, K. (2023) · Journal of Radiation Research · doi:10.1093/jrr/rrad040 · Cited by 12

Comprehension of irony in autistic children: The role of theory of mind and executive function

Song, Y., Nie, Z., & Shan, J. (2023) · Autism Research · doi:10.1002/aur.3051 · Cited by 15

Prediction of preterm birth in multiparous women using logistic regression and machine learning approaches

Belaghi, R. A. (2024) · Scientific Reports · doi:10.1038/s41598-024-60097-4 · Cited by 12

NR4A3, a possibile oncogenic factor for neuroblastoma associated with CpGi methylation within the third exon

Uekusa, S., Kawashima, H., Sugito, K., Yoshizawa, S., Shinojima, Y., Igarashi, J., Ghosh, S., WANG, X., Fujiwara, K., Ikeda, T., et al. (2014) · International Journal of Oncology · doi:10.3892/ijo.2014.2340 · Cited by 12

Can the Amount of Interventions during the Convalescent Phase Predict the Achievement of Independence in Activities of Daily Living in Patients with Stroke? A Retrospective Cohort Study

Umehara, T., Tanaka, R., Tsunematsu, M., Sugihara, K., Moriuchi, Y., 矢田, か., Kurumi, M., Inoue, J., Kohriyama, T., & Kakehashi, M. (2018) · Journal of Stroke and Cerebrovascular Diseases · doi:10.1016/j.jstrokecerebrovasdis.2018.04.038 · Cited by 12

Impact of Upper Limb Function and Employment Status on Return to Work of Blue-Collar Workers after Stroke

Fukuda, S., Ueba, Y., Fukuda, H., Kangawa, T., Nakashima, Y., Hashimoto, Y., & Ueba, T. (2019) · Journal of Stroke and Cerebrovascular Diseases · doi:10.1016/j.jstrokecerebrovasdis.2019.04.036 · Cited by 12

Preoperative lung surface localization for pulmonary wedge resection: a single-center experience

Yanagiya, M., Sato, M., Ueda, K., Nagayama, K., Kawahara, T., Kawashima, S., Yotsumoto, T., Yoshioka, T., Fukumoto, K. J., & Nakajima, J. (2020) · Journal of Thoracic Disease · doi:10.21037/jtd.2020.04.43 · Cited by 12

Musculoskeletal complications of hand–arm vibration syndrome among tyre shop workers in Kelantan, Malaysia

Qamruddin, A. A., Husain, N. R. N., Sidek, M. Y., Hanafi, M. H., Ripin, Z. M., & Ali, N. (2020) · International Journal of Occupational Safety and Ergonomics · doi:10.1080/10803548.2020.1846924 · Cited by 12

Validation study of a novel approach for assessment of retronasal olfactory function with combination of odor thresholds and identification

Yoshino, A., Pellegrino, R., Luckett, C. R., & Hummel, T. R. (2021) · European Archives of Oto-Rhino-Laryngology · doi:10.1007/s00405-021-06687-8 · Cited by 12

Preoperative neutrophil-to-lymphocyte ratio may contribute to the prediction of postoperative infectious complications in patients with acute appendicitis: a retrospective study

Mori, M., Narushima, K., Hirano, A., Kano, Y., Chiba, F., Edamoto, Y., & Yoshida, M. (2022) · BMC Surgery · doi:10.1186/s12893-022-01529-8 · Cited by 12

Comparison of BinaxNOW and SARS-CoV-2 qRT-PCR Detection of the Omicron Variant from Matched Anterior Nares Swabs

Landaverde, L., Turcinovic, J., Doucette‐Stamm, L., Gonzales, K., Platt, J. T., Connor, J. H., & Klapperich, C. M. (2022) · Microbiology Spectrum · doi:10.1128/spectrum.01307-22 · Cited by 11

Exploring breast cancer exosomes for novel biomarkers of potential diagnostic and prognostic importance

Alagundagi, D. B., Ghate, S. D., Rajendra, V. K., Gollapalli, P., Shetty, V. V., D’Souza, C., Shetty, P. K., & Patil, P. (2022) · 3 Biotech · doi:10.1007/s13205-022-03422-w · Cited by 12

Post-heating Fluorescence-based Alteration and Adulteration Detection of Extra Virgin Olive Oil

Hamdy, O., & Mohammed, H. S. (2023) · Journal of Fluorescence · doi:10.1007/s10895-023-03165-8 · Cited by 12

Screening for sarcopenia with SARC-F in older patients hospitalized with cardiovascular disease

Noda, T., Kamiya, K., Hamazaki, N., Yamashita, M., Miki, T., Nozaki, K., Uchida, S., Ueno, K., Maekawa, E., Terada, T., et al. (2024) · European Journal of Cardiovascular Nursing · doi:10.1093/eurjcn/zvae017 · Cited by 12

Analysis of risk classification for massive transfusion in severe trauma using the gray zone approach

Ogura, T., Nakano, M., Izawa, Y., Nakamura, M., Fujizuka, K., & Lefor, A. K. (2015) · The American Journal of Emergency Medicine · doi:10.1016/j.ajem.2015.05.007 · Cited by 12

Renal biopsy criterion in idiopathic nephrotic syndrome with microscopic hematuria at onset

Hama, T., Nakanishi, K., Shima, Y., Sato, M., Mukaiyama, H., Togawa, H., Hamahira, K., Tanaka, R., Kaito, H., Nozu, K., et al. (2014) · Pediatric Nephrology · doi:10.1007/s00467-014-2946-9 · Cited by 12

Associations between the American College of Rheumatology pediatric response measures and the continuous measures of disease activity used in adult rheumatoid arthritis: A secondary analysis of clinical trial data from children with Polyarticular‐Course Juvenile Idiopathic Arthritis

Ringold, S., Chon, Y., & Singer, N. G. (2009) · Arthritis & Rheumatism · doi:10.1002/art.24983 · Cited by 12

Non-promoter DNA hypermethylation of Zygote Arrest 1 (ZAR1) in neuroblastomas

Sugito, K., Kawashima, H., Yoshizawa, S., Uekusa, S., Hoshi, R., Furuya, T., Kaneda, H., Hosoda, T., Konuma, N., Masuko, T., et al. (2013) · Journal of Pediatric Surgery · doi:10.1016/j.jpedsurg.2012.08.008 · Cited by 12

Tally counter test as a simple and objective assessment of cervical myelopathy

Kimura, A., Seichi, A., Endo, T., Norimatsu, Y., Inoue, H., Higashi, T., & Hoshino, Y. Y. (2012) · European Spine Journal · doi:10.1007/s00586-012-2586-3 · Cited by 12

Accuracy and adequacy of waist circumference cut-off points currently recommended in Brazilian adults

Vianna, C. Á., Linhares, R. D. S., Bielemann, R. M., Machado, E. C., González‐Chica, D. A., Matijasevich, A., Gigante, D. P., & Santos, I. S. (2013) · Public Health Nutrition · doi:10.1017/s1368980013000529 · Cited by 12

Radiographic adenoid evaluation – suggestion of referral parameters

Feres, M. F. N., Hermann, J. S., Sallum, A. C. R., & Pignatari, S. S. N. (2014) · Jornal de Pediatria · doi:10.1016/j.jped.2013.09.004 · Cited by 12

Evidence‐Based Medicine in Otolaryngology Part 4: Everyday Probabilities—Nonbinary Diagnostic Tests

Shin, J. J., Stinnett, S. S., & Randolph, G. W. (2013) · Otolaryngology · doi:10.1177/0194599813491070 · Cited by 12

Maternal anthropometric measurements as predictors of low birth weight in developing and developed countries

Goto, E. (2015) · Archives of Gynecology and Obstetrics · doi:10.1007/s00404-015-3721-2 · Cited by 12

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Growing international evidence for urinary biomarker panels identifying lupus nephritis in children – verification within the South African Paediatric Lupus Cohort

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Psychometric properties of the Patient Health Questionnaire nine-item version (PHQ-9) for use among hospitalized non-psychiatric medical patients

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Building a Nomogram for Metabolic Syndrome Using Logistic Regression with a Complex Sample—A Study with 39,991,680 Cases

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Factors Predicting Adverse Events Associated with Pregabalin Administered for Neuropathic Pain Relief

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Preoperative physical activity in relation to postoperative delirium in elective cardiac surgery patients

Ogawa, M., Izawa, K. P., Kitamura, A., Ono, R., Satomi‐Kobayashi, S., Sakai, Y., & Okita, Y. (2015) · International Journal of Cardiology · doi:10.1016/j.ijcard.2015.06.154 · Cited by 12

Development and Evaluation of the Automated Risk Assessment System for Catheter-Associated Urinary Tract Infection

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Optimal cutoff for the evaluation of insulin resistance through triglyceride-glucose index: A cross-sectional study in a Venezuelan population

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The Sinonasal Outcome Test–22 or European Position Paper: Which Is More Indicative of Imaging Results?

Zhou, A. S., Prince, A. A., Maxfield, A. Z., Corrales, C. E., & Shin, J. J. (2020) · Otolaryngology · doi:10.1177/0194599820953834 · Cited by 11

Investigating the Psychometric Properties of the Severity Measure for Specific Phobia

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Diagnostic Accuracy of a Temporomandibular Disorder Pain Screener in Patients Seeking Endodontic Treatment for Tooth Pain

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Neural Computation-Based Methods for the Early Diagnosis and Prognosis of Alzheimer’s Disease Not Using Neuroimaging Biomarkers: A Systematic Review

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Multitask machine learning-based tumor-associated collagen signatures predict peritoneal recurrence and disease-free survival in gastric cancer

Fu, M., Lin, Y., Yang, J., Cheng, J., Lin, L., Wang, G., Long, C., Xu, S., Lu, J., Li, G., et al. (2024) · Gastric Cancer · doi:10.1007/s10120-024-01551-0 · Cited by 13

Development and validation of a risk prediction model for PICC-related venous thrombosis in patients with cancer: a prospective cohort study

Hu, Z., Luo, M., He, R., Wu, Z., Fan, Y., & Li, J. (2025) · Scientific Reports · doi:10.1038/s41598-025-89260-1 · Cited by 11

Dose-volume histogram predictors of chronic gastrointestinal complications after radical hysterectomy and postoperative intensity modulated radiotherapy for early-stage cervical cancer

Chen, Z., Zhu, L., Zhang, B., Meng, M., Yuan, Z., & Wang, P. (2014) · BMC Cancer · doi:10.1186/1471-2407-14-789 · Cited by 11

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Receiver Operating Characteristic Curves and Their Use in Radiology

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