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A readers' guide to the interpretation of diagnostic test properties: clinical example of sepsis
Open accessAbstract
Background One of the most challenging practical and daily problems in intensive care medicine is the interpretation of the results from diagnostic tests. In neonatology and pediatric intensive care the early diagnosis of potentially life-threatening infections is a particularly important issue.Focus A plethora of tests have been suggested to improve diagnostic decision making in the clinical setting of infection which is a clinical example used in this article. Several criteria that are critical to evidence-based appraisal of published data are often not adhered to during the study or in reporting. To enhance the critical appraisal on articles on diagnostic tests we discuss various measures of test accuracy: sensitivity, specificity, receiver operating characteristic curves, positive and negative predictive values, likelihood ratios, pretest probability, posttest probability, and diagnostic odds ratio.Conclusions We suggest the following minimal requirements for reporting on the diagnostic accuracy of tests: a plot of the raw data, multilevel likelihood ratios, the area under the receiver operating characteristic curve, and the cutoff yielding the highest discriminative ability. For critical appraisal it is mandatory to report confidence intervals for each of these measures. Moreover, to allow comparison to the readers' patient population authors should provide data on study population characteristics, in particular on the spectrum of diseases and illness severity.
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“The AUC values ranged from .63 to .76 and were considered in acceptable range (Akobeng, 2007; Fischer et al., 2003).”
From Exercise habit formation in new gym members: a longitudinal study (2015) · cites this paper as Fischer et al., 2003
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Cites
Measuring the Accuracy of Diagnostic Systems
Swets, J. A. (1988) · Science · doi:10.1126/science.3287615 · Cited by 10,058
Hanley, J. A., & McNeil, B. J. (1983) · Radiology · doi:10.1148/radiology.148.3.6878708 · Cited by 7,016
Users' Guides to the Medical Literature
Guyatt, G. H. (1993) · JAMA · doi:10.1001/jama.270.17.2096 · Cited by 3,083
Users' Guides to the Medical Literature
Jaeschke, R. (1994) · JAMA · doi:10.1001/jama.271.9.703 · Cited by 2,688
Self-citationEmpirical 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
Mumber, M. P. (2005) · CRC Press eBooks · doi:10.1201/9780203088319-19 · Cited by 1,584
Fischhoff, B. (1980) · Operations Research · doi:10.1287/opre.28.1.28 · Cited by 1,423
The Threshold Approach to Clinical Decision Making
Pauker, S. G., & Kassirer, J. P. (1980) · New England Journal of Medicine · doi:10.1056/nejm198005153022003 · Cited by 1,371
Users' Guides to the Medical Literature
Jaeschke, R. (1994) · JAMA · doi:10.1001/jama.271.5.389 · Cited by 1,174
Self-citation(1975) · New England Journal of Medicine · doi:10.1056/nejm197507312930513 · Cited by 1,017
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Kernel density estimates for sepsis classification
Parente, J. D., Chase, J. G., Möller, K., & Shaw, G. M. (2019) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2019.105295 · Cited by 9
Contractor, A. A., Jin, L., Weiss, N. H., & O'Hara, S. (2020) · Psychiatry Research · doi:10.1016/j.psychres.2020.113667 · Cited by 9
Sun, S., Chen, C., Sheng, Z., & Wei, M. (2023) · Skeletal Radiology · doi:10.1007/s00256-023-04395-4 · Cited by 8
Machine learning to detect Alzheimer's disease with data on drugs and diagnoses
Wallensten, J., Wachtler, C., Bogdanović, N., Olofsson, A., Kivipelto, M., Jönsson, L., Petrović, P., & Carlsson, A. C. (2025) · The Journal of Prevention of Alzheimer s Disease · doi:10.1016/j.tjpad.2025.100115 · Cited by 9
Andersen, J. S., Hangaard, S., Buus, A. A. Ø., Laursen, M. B., Hejlesen, O. K., & El‐Galaly, A. (2021) · Journal of Orthopaedics · doi:10.1016/j.jor.2021.03.001 · Cited by 8
Ruby, L. C., Sanabria, S. J., Saltybaeva, N., Frauenfelder, T., Alkadhi, H., & Rominger, M. B. (2021) · Medicine · doi:10.1097/md.0000000000025947 · Cited by 8
Adamik, B., Ambrożek-Latecka, M., Dragan, B., Jeznach, A., Śmiechowicz, J., Goździk, W., & Skirecki, T. (2022) · Shock · doi:10.1097/shk.0000000000001923 · Cited by 8
Ademoyegun, A. B., Mbada, C. E., Sonuga, O. A., Malomo, O. E., Fatai, W. A., & Aghedo, I. A. (2022) · Bulletin of Faculty of Physical Therapy · doi:10.1186/s43161-022-00090-y · Cited by 8
Kobayashi, H., Otani, K., Nikaido, T., Watanabe, K., Kato, K., Kobayashi, Y., Yabuki, S., & Konno, S. (2022) · Diagnostics · doi:10.3390/diagnostics12092108 · Cited by 8
Deguchi, N., Osuka, Y., Kojima, N., Motokawa, K., Iwasaki, M., Inagaki, H., Miyamae, F., Okamura, T., Hirano, H., Awata, S., et al. (2023) · Geriatrics and gerontology international/Geriatrics & gerontology international · doi:10.1111/ggi.14759 · Cited by 8
Gait performance in older adults across the cognitive spectrum: Results from the GAIT cohort
Ali, P., Renaud, P., Montero‐Odasso, M., Gautier, J., Dinomais, M., & Annweiler, C. (2024) · Journal of the American Geriatrics Society · doi:10.1111/jgs.19162 · Cited by 8
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Mustafa, A. I., Hamed, A., Kadah, A. S., Fawzy, E., & El-Shimi, O. S. (2023) · Indian Dermatology Online Journal · doi:10.4103/idoj.idoj_674_22 · Cited by 10
Usefulness of the Montreal Cognitive Assessment in Older Adults With Type 1 Diabetes
Choe, J., Kudrna, R., Fonseca, L. M., & Chaytor, N. S. (2023) · Diabetes Spectrum · doi:10.2337/ds23-0012 · Cited by 9
Morelló, J., de Mendoza, C., Soriano, V., Anta, L., González‐Pardo, G., Corral, A., Blanco, F., Jiménez‐Nácher, I., González‐Lahoz, J., & Rodríguez‐Nóvoa, S. (2009) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.00041-09 · Cited by 8
Kruizinga, I., Jansen, W., de Haan, C. L., & Raat, H. (2012) · PLoS ONE · doi:10.1371/journal.pone.0049633 · Cited by 8
Loi, F., & Marlowe, K. (2017) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2017.00194 · Cited by 8
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Qiu, J., Su, S., Duan, A., Feng, C., Xie, J., Li, K., & Yin, Z. (2020) · Science Progress · doi:10.1177/0036850420908750 · Cited by 8
Shakouri, F., Iorizzo, L., Edwards, H., Vinter, C. A., Kristensen, K. H., Isberg, P., & Wiberg, N. (2020) · BMC Pregnancy and Childbirth · doi:10.1186/s12884-020-03030-7 · Cited by 9
Shinohara, T., Saida, K., Miyata, K., & Usuda, S. (2020) · Journal of Geriatric Physical Therapy · doi:10.1519/jpt.0000000000000280 · Cited by 8
Moraca, G. A. G., Beretta, V. S., dos Santos, P. C. R., Nóbrega‐Sousa, P., Orcioli‐Silva, D., Vitório, R. R., & Gobbi, L. T. B. (2021) · European Journal of Neuroscience · doi:10.1111/ejn.15143 · Cited by 8
Smell test predicts performance on delayed recall memory test in elderly with depression
Scalco, M. Z., Streiner, D. L., Rewilak, D., Castel, S., & van Reekum, R. (2008) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.2132 · Cited by 8
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Tang, B. M. P., & Eslick, G. D. (2007) · Critical Care Medicine · doi:10.1097/01.ccm.0000254967.79846.6a · Cited by 8
Berube, M., Ouellet, S., Turcotte, V., Gagné, A., & Gélinas, C. (2023) · Journal of Neurotrauma · doi:10.1089/neu.2022.0418 · Cited by 7
Lee, Y., Tsai, Y., Tsai, M., Tseng, T.-Y., Chang, C., & Chang, K. (2024) · Clinical Otolaryngology · doi:10.1111/coa.14207 · Cited by 7
Park, B.-M., Kim, S., Choi, J., Song, Y., & Park, S. (2025) · Journal of Clinical Microbiology · doi:10.1128/jcm.01352-24 · Cited by 8
Imperiali, L., Borghi, S., Bizzozero, S., Prandoni, E., Bisio, A., Torre, A. L., & Codella, R. (2025) · PLoS ONE · doi:10.1371/journal.pone.0324159 · Cited by 7
Ayasse, T., Touron, M., Blanc, M., Pruvost‐Robieux, E., Lascarrou, J.-B., Vigneron, C., Mira, J. P., Pène, F., Cariou, A., & Benghanem, S. (2025) · Annals of Intensive Care · doi:10.1186/s13613-025-01491-7 · Cited by 7
Demandt, J. P. A., Mast, T. P., van Beek, K. A. J., Koks, A., Bastiaansen, M., Tonino, P. A. L., Veer, M. V. ‘., Zimmermann, F. M., & Vlaar, P. J. J. (2025) · BMJ Health & Care Informatics · doi:10.1136/bmjhci-2024-101292 · Cited by 10
Wang, Z., Mao, H., & Xu, G. (2023) · International Immunopharmacology · doi:10.1016/j.intimp.2023.110542 · Cited by 7
Slater, L., Ravintharan, N., Goergen, S., Chandra, R. V., Asadi, H., Maingard, J. T., Kuganesan, A., Sum, R., Lin, S. Y., Gordon, V., et al. (2024) · Stroke Vascular and Interventional Neurology · doi:10.1161/svin.123.001145 · Cited by 7
Ltaief, S. M., Nour‐Eldine, W., Manaph, N. P. A., Tan, T., Anuar, N. D., Bensmail, I., George, J., Abdesselem, H., & Al‐Shammari, A. R. (2024) · Autism Research · doi:10.1002/aur.3235 · Cited by 8
Nowak, A., & Schoemaker, M. M. (2018) · Human Movement · doi:10.5114/hm.2018.74057 · Cited by 7
Ueno, R., 増渕高照, Shiraishi, A., Gando, S., Abe, T., Kushimoto, S., Mayumi, T., Fujishima, S., Hagiwara, A., Hifumi, T., et al. (2021) · PLoS ONE · doi:10.1371/journal.pone.0254343 · Cited by 7
Chen, Z., Huang, L., Wang, Z., Liu, Z., Xie, P., Liu, B., Zhang, L., Chen, R., Dong, J., & Rong, L. (2022) · World Neurosurgery · doi:10.1016/j.wneu.2022.07.067 · Cited by 7
Nielsen, F. E., Stæhr, C. S., Sørensen, R. H., Schmidt, T. A., & Abdullah, S. M. O. B. (2022) · Infection and Drug Resistance · doi:10.2147/idr.s358544 · Cited by 7
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Alhmoud, B., Bonnici, T., Melley, D. D., Patel, R. S., & Banerjee, A. (2023) · BMJ Open · doi:10.1136/bmjopen-2022-066131 · Cited by 7
Nakayama, E., Tohara, H., Sakai, M., Iida, M., Abe, K., & Ueda, K. (2023) · Nutrients · doi:10.3390/nu15102273 · Cited by 7
Frailty and sarcopenia in older kidney transplant recipients: a cross-sectional study
Kosoku, A., Iwai, T., Kabei, K., Nishide, S., Machida, Y., & Uchida, J. (2023) · European Geriatric Medicine · doi:10.1007/s41999-023-00803-z · Cited by 7
Dolman, G. E., Nieboer, D., Steyerberg, E. W., Harris, S., Ferguson, A., Zaitoun, A. M., Ryder, S. D., James, M. W., Aithal, G. P., & Guha, I. N. (2012) · Liver International · doi:10.1111/liv.12017 · Cited by 7
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Kim, C., Kang, H. S., Schlenk, E. A., & Chae, S. (2015) · The Science of Diabetes Self-Management and Care · doi:10.1177/0145721715572154 · Cited by 7
Kuroda, R., Nagai, K., Matsushita, T., Araki, D., Matsumoto, T., Takayama, K., & Kurosaka, M. (2016) · Knee Surgery Sports Traumatology Arthroscopy · doi:10.1007/s00167-016-4179-x · Cited by 7
Schröder, M., Fux, E., Lüdtke, J., İzat, Y., Bolten, M. I., & Schmid, M. (2019) · Psychopathology · doi:10.1159/000504675 · Cited by 7
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Waele, J. J. D., & Blot, S. I. (2007) · Journal of Clinical Gastroenterology · doi:10.1097/01.mcg.0000225522.43783.4b · Cited by 7
Peng, C., Gong, C., Zhang, X., & Liu, D. (2025) · Frontiers in Medicine · doi:10.3389/fmed.2025.1512870 · Cited by 6
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Serrat, F., Cuevas‐Esteban, J., Baladón, L., Rabaneda‐Lombarte, N., Díez, C., & Iglesias-González, M. (2023) · The European Journal of Psychiatry · doi:10.1016/j.ejpsy.2023.07.004 · Cited by 6
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Lee, J., Kim, D. H., Kim, S. W., Im, Y. H., Park, C. S., Kim, D. H., Alkhars, Z. A., & Kim, S. W. (2024) · International Forum of Allergy & Rhinology · doi:10.1002/alr.23416 · Cited by 6
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Soble, J. R., Ovsiew, G. P., & Phillips, M. S. (2025) · Springer eBooks · doi:10.1007/978-3-031-69734-0_10 · Cited by 6
Yamane, T., Kimura, M., & Morita, M. (2025) · Physical Activity and Health · doi:10.5334/paah.441 · Cited by 6
Hashimoto, Y., Inoue, N., Tani, T., & Imai, S. (2025) · JMIR Aging · doi:10.2196/65898 · Cited by 6
Muntingh, A., de Heer, E. W., van Marwijk, H., Adèr, H. J., van Balkom, A. J. L. M., Spinhoven, P., & Feltz-Cornelis, C. M. V. D. (2013) · BMC Psychiatry · doi:10.1186/1471-244x-13-192 · Cited by 6
Qvist, T., Pressler, T., Katzenstein, T. L., Høiby, N., & Collins, M. T. (2016) · Pediatric Pulmonology · doi:10.1002/ppul.23608 · Cited by 6
AlKusayer, N. M., Midodzi, W. K., Newhook, L. A., Gill, N., Halfyard, B., & Twells, L. (2018) · Journal of Human Lactation · doi:10.1177/0890334418772273 · Cited by 6
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Rajan, L., Conti, M. S., Cororaton, A. D., Fuller, R. M., & Ellis, S. J. (2022) · Foot & Ankle International · doi:10.1177/10711007221088822 · Cited by 6
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Choi, H., Youm, C., Park, H., Kim, B., Cheon, S., & Lee, M. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph191912131 · Cited by 6
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Udompongpaiboon, P., Reangvilaikul, T., & Vattanavanit, V. (2023) · BMC Pulmonary Medicine · doi:10.1186/s12890-023-02643-w · Cited by 6
Coye, T. L., Suludere, M. A., Kang, G. E., Crisologo, P. A., Malone, M., Rogers, L. C., & Lavery, L. A. (2023) · Wound Repair and Regeneration · doi:10.1111/wrr.13121 · Cited by 6
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Wind, H., Samoocha, D., van der Beek, A. J., & Frings‐Dresen, M. H. W. (2014) · Work · doi:10.3233/wor-131663 · Cited by 6
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Zhao, J., Zhao, Z., Song, J., Ji, Z., & Tian, Y. (2010) · Urologia Internationalis · doi:10.1159/000319968 · Cited by 6
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Perera, R., & Ekanayake, L. (2011) · International Journal of Dentistry · doi:10.1155/2011/809620 · Cited by 6
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Reynolds, L., & Em, T. (2011) · Queen Mary Research Online (Queen Mary University of London) · Cited by 6
Dölitzsch, C., Leenarts, L. E. W., Schmeck, K., Fegert, J. M., Grisso, T., & Schmid, M. (2017) · BMC Psychiatry · doi:10.1186/s12888-017-1197-2 · Cited by 6
Miller, L. S., Wu, M., Schettine, A. M., & Cogan, L. (2018) · Health Services Research · doi:10.1111/1475-6773.13047 · Cited by 6
Chorwe‐Sungani, G. (2021) · IntechOpen eBooks · doi:10.5772/intechopen.97411 · Cited by 6
Ritchie, B. K., Porritt, K. A., Marín, T., & Williams, N. (2021) · JBI Evidence Synthesis · doi:10.11124/jbies-20-00357 · Cited by 7
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Akça, H. Ş., Özdemir, S., Algın, A., & Altunok, İ. (2022) · Journal of Health Sciences and Medicine · doi:10.32322/jhsm.1070588 · Cited by 7
Tokumitsu, K., Yasui‐Furukori, N., Fisher, S. D., Keta, T., Yamada, C., Takeuchi, J. S., Yachimori, K., Sugawara, N., & Shimoda, K. (2023) · Neuropsychopharmacology Reports · doi:10.1002/npr2.12321 · Cited by 6
Whitehurst, D. G. T., Mah, C., Krebs, E., Enns, B., Socias, M. E., Jutras‐Aswad, D., Foll, B. L., & Nosyk, B. (2023) · Quality of Life Research · doi:10.1007/s11136-023-03381-6 · Cited by 6
Thornhill, R., Strong, D., Vasanth, S., & Mackenzie, I. M. J. (2010) · Trauma · doi:10.1177/1460408609356828 · Cited by 6
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Waele, J. J. D., & Delrue, L. J. (2007) · Abdominal Imaging · doi:10.1007/s00261-007-9223-3 · Cited by 6
Qi, W., Liu, Q., Wei, Z., Li, P., Wang, M., Wang, W., Qi, Y., & Hu, J. (2025) · Asia-Pacific Journal of Oncology Nursing · doi:10.1016/j.apjon.2025.100705 · Cited by 5
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Gu, M., Hu, H., & Gu, D. (2026) · Cardiovascular Diabetology · doi:10.1186/s12933-026-03092-5 · Cited by 5
Nuutinen, M., Hiltunen, A.-M., Korhonen, S., Haavisto, I., Poikonen‐Saksela, P., Mattson, J., Manikis, G. C., Kondylakis, H., Simos, P. G., Mazzocco, K., et al. (2022) · Health and Technology · doi:10.1007/s12553-023-00733-7 · Cited by 6
Krijnen, L., Greaves‐Lord, K., Mandy, W., Mataw, K. J., Hartog, P., & Begeer, S. (2023) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-023-06069-5 · Cited by 8
Schmaranzer, F., Justo, P. G. S., Kallini, J. R., Ferrer, M. G., Miller, P. E., Bixby, S. D., & Novais, E. N. V. (2023) · Journal of Bone and Joint Surgery · doi:10.2106/jbjs.23.00333 · Cited by 5
Hayashi-Sakai, S., Nishiyama, H., Hayashi, T., Sakai, J., & Shimomura-Kuroki, J. (2024) · Odontology · doi:10.1007/s10266-024-00980-8 · Cited by 5
Zhang, W., Du, L., Huang, Y., Liu, D., Li, T., & Zheng, J. (2025) · BMJ Open · doi:10.1136/bmjopen-2024-096744 · Cited by 6
Yim, D., Kim, S., Yoo, J., Lee, Y., Lee, S., & Chung, H. (2017) · Eon'eo cheong'gag jang'ae yeon'gu/Communication sciences & disorders · doi:10.12963/csd.17394 · Cited by 5
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Parente, J. D., Möller, K., Shaw, G. M., & Chase, J. G. (2018) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2018.11.658 · Cited by 5
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Zou, Q., Wang, L., Yang, X., Song, Y., Liu, L., Wang, L., Zhou, Z., Hu, B., Chen, T., & Liu, H. (2022) · BMC Musculoskeletal Disorders · doi:10.1186/s12891-022-05072-8 · Cited by 5
Silva, F. X., Katz, L., & Cecatti, J. G. (2022) · Health Care For Women International · doi:10.1080/07399332.2022.2134391 · Cited by 5
Niessink-Beckers, S., Verhoeven, C. J. M., Nahuis, M. J., Gitsels, L. A., & der Wal, J. T. G.-V. (2023) · PLoS ONE · doi:10.1371/journal.pone.0282883 · Cited by 5
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Kim, I.-J., Kim, S., Kim, B., & Choi, H. (2012) · Journal of Korean Academy of Nursing · doi:10.4040/jkan.2012.42.6.853 · Cited by 5
Morcos, N. Y. S., Khafagi, E., Mogawer, S., Ali, M. M., & AbdelHalim, A. (2012) · Journal of Experimental and Integrative Medicine · doi:10.5455/jeim.280812.or.043 · Cited by 5
Metadata
- Authors
- Fischer, J. E., Bachmann, L. M., & Jaeschke, R.
- Affiliations
- University Children's Hospital Zurich (CH)
- McMaster University (CA)
- Corresponding author
- Fischer, Joachim E.
- Venue
- Intensive Care Medicine
- Published
- 2003-07-01
- Volume
- 29
- Issue
- 7
- Pages
- 1043-1051
- ISSN
- 0342-4642 (ISSN-L)
- 1432-1238
- OpenAlex
- W1997033640
- Cited by
- 890
- References
- 28
- Citations by year
- 2026: 14 · 2025: 65 · 2024: 66 · 2023: 77 · 2022: 82 · 2021: 68 · 2020: 69 · 2019: 40 · 2018: 49 · 2017: 47 · 2016: 39 · 2015: 39 · 2014: 45 · 2013: 32 · 2012: 26
- FWCI
- 3.86
- Type
- journal article
- Language
- en
- Open access
- green
- www.zora.uzh.ch
- Licence
- other-oa
- www.springer.com/tdm (tdm)
- Locations
- Intensive Care Medicine (publishedVersion)
- PubMed (publishedVersion)
- Zurich Open Repository and Archive (University of Zurich) (acceptedVersion, other-oa)
- reroDoc Digital Library (submittedVersion)
- Zurich Open Repository and Archive (University of Zurich) (submittedVersion, other-oa)
- Zurich Open Repository and Archive (University of Zurich)
- Topics
- Health Sciences › Medicine › Critical Care and Intensive Care Medicine › Sepsis Diagnosis and Treatment
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Keywords
- diagnostic accuracy, sepsis, critical appraisal, sensitivity and specificity, likelihood ratios, predictive value, receiver operating characteristic, diagnostic odds ratio, reporting guidelines, infection diagnosis
- MeSH terms
- Bayes Theorem, Diagnostic Tests, Routine, Humans, ROC Curve, Sensitivity and Specificity, Switzerland, Confidence Intervals, Likelihood Functions, Odds Ratio, Sepsis
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