Cited by 1,124Meta-analysis and systematic reviewsStatistical Methods in EpidemiologyClinical practice guidelines implementation

The DOI matches its Crossref record; 87 of the 92 references it cites were found in a registry or an index.

The STARD Statement for Reporting Studies of Diagnostic Accuracy: Explanation and Elaboration

Bossuyt, Patrick M., Reitsma, Johannes B., Bruns, David E., Gatsonis, Constantine A., Glasziou, Paul P., Irwig, Les M., Moher, David, Rennie, Drummond, de Vet, Henrica C.W., Lijmer, Jeroen G.·2003·Annals of Internal Medicine

DOI 10.7326/0003-4819-138-1-200301070-00012-w1

Open this paper in CoChat — free account

Abstract

The quality of reporting of studies of diagnostic accuracy is less than optimal. Complete and accurate reporting is necessary to enable readers to assess the potential for bias in the study and to evaluate the generalizability of the results. A group of scientists and editors has developed the STARD (Standards for Reporting of Diagnostic Accuracy) statement to improve the reporting the quality of reporting of studies of diagnostic accuracy. The statement consists of a checklist of 25 items and flow diagram that authors can use to ensure that all relevant information is present. This explanatory document aims to facilitate the use, understanding, and dissemination of the checklist. The document contains a clarification of the meaning, rationale, and optimal use of each item on the checklist, as well as a short summary of the available evidence on bias and applicability. The STARD statement, checklist, flowchart, and this explanation and elaboration document should be useful resources to improve reporting of diagnostic accuracy studies. Complete and informative reporting can only lead to better decisions in health care.

Integrity signals

Registry

Crossref · 10.7326/0003-4819-138-1-200301070-00012-w1

Cites

87 of 87 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Towards complete and accurate reporting of studies of diagnostic accuracy: The STARD Initiative.
Bossuyt, P. M., Reitsma, J. B., Bruns, D. E., Gatsonis, C. A., Glasziou, P. P., Irwig, L. M., Lijmer, J. G., Moher, D., Rennie, D., de Vet, H. C. W., et al. (2003) · Annals of Internal Medicine · doi:10.7326/0003-4819-138-1-200301070-00010 · Cited by 3,219
Value of the Ventilation/Perfusion Scan in Acute Pulmonary Embolism
(1990) · JAMA · doi:10.1001/jama.1990.03440200057023 · Cited by 2,818
Users' Guides to the Medical Literature
Jaeschke, R. (1994) · JAMA · doi:10.1001/jama.271.9.703 · Cited by 2,688
Systematic Reviews: Identifying relevant studies for systematic reviews
Dickersin, K., Scherer, R. W., & Lefebvre, C. (1994) · BMJ · doi:10.1136/bmj.309.6964.1286 · Cited by 2,255
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
Self-citation
Problems of Spectrum and Bias in Evaluating the Efficacy of Diagnostic Tests
Ransohoff, D. F., & Feinstein, A. R. (1978) · New England Journal of Medicine · doi:10.1056/nejm197810262991705 · Cited by 1,739
Users' Guides to the Medical Literature
Jaeschke, R. (1994) · JAMA · doi:10.1001/jama.271.5.389 · Cited by 1,174
Assessing the Generalizability of Prognostic Information
Justice, A. C., Covinsky, K. E., & Berlin, J. A. (1999) · Annals of Internal Medicine · doi:10.7326/0003-4819-130-6-199903160-00016 · Cited by 1,160
World Medical Association Declaration of Helsinki: Recommendations Guiding Physicians in Biomedical Research Involving Human Subjects
(1997) · JAMA · doi:10.1001/jama.1997.03540350075038 · Cited by 1,023
A consumer's guide to subgroup analyses
Oxman, A. D., & Guyatt, G. H. (1992) · Annals of Internal Medicine · doi:10.7326/0003-4819-116-1-78 · Cited by 914

Show all 92 references

Research works printed but not linked: 12

Guyatt GH, 1986, CMAJ, 134, 587
10.1001/jama.1994.03510290071040 · DOI
10.1001/jama.1994.03510330081039 · DOI
10.1001/jama.1984.03350170020012 · DOI
10.1001/jama.1995.03530080061042 · DOI
Griner PF, 1981, Ann Intern Med, 94, 557
McKibbon KA, 1994, ACP J Club, 121, A10
Wilczynski NL, 2001, Medinfo, 10, 390
Mol BW, 1999, Obstet Gynecol, 94, 864
Cohen MB, 1987, Arch Pathol Lab Med, 111, 518
10.1001/jama.1982.03330190031026 · DOI
Anton RF, 2001, Clin Chem, 47, 1769

Sorted by citations

Items 601–700 of 1,043

Estimating the Diagnostic Value of the Trail Making Test for Suboptimal Effort in Acquired Brain Injury Rehabilitation Patients
Powell, M. R., Locke, D. E. C., Smigielski, J. S., & McCrea, M. (2010) · The Clinical Neuropsychologist · doi:10.1080/13854046.2010.532912 · Cited by 20
Cómo interpretar un artículo sobre pruebas diagnósticas
D, M. E. B., & Manterola, C. (2010) · Revista de Cirugía · doi:10.4067/s0718-40262010000300018 · Cited by 20
Evaluation of the Diagnostic Accuracy of a New Dengue IgA Capture Assay (Platelia Dengue IgA Capture, Bio-Rad) for Dengue Infection Detection
Decker, S. D., Vray, M., Sistek, V., Labeau, B., Enfissi, A., Rousset, D., & Matheus, S. (2015) · PLoS neglected tropical diseases · doi:10.1371/journal.pntd.0003596 · Cited by 20
Fast and sample cleanup-free measurement of nicotine and cotinine by stable isotope dilution ultra-performance liquid chromatography–tandem mass spectrometry
Kühn, J., Vollmer, T., Martin, C., Hendig, D., & Knabbe, C. (2012) · Journal of Pharmaceutical and Biomedical Analysis · doi:10.1016/j.jpba.2012.04.036 · Cited by 20
Discriminatory Performance of the Calcaneal Quantitative Ultrasound and Osteoporosis Self-Assessment Tool to Select Older Women for Dual-Energy X-ray Absorptiometry
McLeod, K. M., Johnson, S., Rasali, D. P., & Verma, A. K. (2015) · Journal of Clinical Densitometry · doi:10.1016/j.jocd.2015.02.006 · Cited by 20
The Diagnostic Accuracy of Gluteal Trigger Points to Differentiate Radicular From Nonradicular Low Back Pain
Adelmanesh, F., Jalali, A., Shirvani, A., Pakmanesh, K., Pourafkari, M., Raissi, G. R., & Shir, Y. (2015) · Clinical Journal of Pain · doi:10.1097/ajp.0000000000000311 · Cited by 20
The diagnostic accuracy of the hand-held Raman spectrometer for the identification of anti-malarial drugs
Visser, B. J., de Vries, S. G., Bache, E. B., Meerveld-Gerrits, J., Kroon, D., Boersma, J., Agnandji, S. T., van Vugt, M., & Grobusch, M. P. (2016) · Malaria Journal · doi:10.1186/s12936-016-1212-y · Cited by 20
Reliability of standing weight-bearing (0.25T) MR imaging findings and positional changes in the lumbar spine
Hansen, B. B., Hansen, P., Christensen, A. F., Trampedach, C. R., Rasti, Z., Bliddal, H., & Boesen, M. (2017) · Skeletal Radiology · doi:10.1007/s00256-017-2746-y · Cited by 20
Measurability and reliability of assessments of root length and marginal bone level in cone beam CT and intraoral radiography: a study of adolescents
Al-Okshi, A., Paulsson, L., Rohlin, M., Ebrahim, E., & Lindh, C. (2019) · Dentomaxillofacial Radiology · doi:10.1259/dmfr.20180368 · Cited by 20
The use of liquid chromatography tandem mass spectrometry to detect proteins in saliva from horses with and without systemic inflammation
Jacobsen, S. E., Adler, D. M. T., Bundgaard, L., Sørensen, M. A., Andersen, P. H., & Bendixen, E. (2014) · The Veterinary Journal · doi:10.1016/j.tvjl.2014.08.032 · Cited by 19
Rapid molecular testing for multi-resistant tuberculosis in Mongolia
Buyankhishig, B., Tumenbayar, O., Tserelmaa, B., Jav, S., Lucero, M., & Mitarai, S. (2012) · International Journal of Mycobacteriology · doi:10.1016/j.ijmyco.2012.01.007 · Cited by 19
A chemoresponse assay for prediction of platinum resistance in primary ovarian cancer
Krivak, T. C., Lele, S., Richard, S. D., Secord, A. A., Leath, C. A., Brower, S. L., Tian, C., & Moore, R. G. (2014) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2014.02.009 · Cited by 19
Systematic review of the diagnostic accuracy of the non-English versions of Addenbrooke's cognitive examination – revised and III
Habib, N. G. M., & Stott, J. C. H. (2017) · Aging & Mental Health · doi:10.1080/13607863.2017.1411882 · Cited by 19
Decision-making in temporal lobe epilepsy surgery: The contribution of basic non-invasive tests
Uijl, S. G., Leijten, F. S. S., Arends, J. B. A. M., Parra, J., van Huffelen, A. C., & Moons, K. G. M. (2008) · Seizure · doi:10.1016/j.seizure.2007.11.022 · Cited by 19
Assessment of the construct validity of the Australian Health Star Rating: a nutrient profiling diagnostic accuracy study
Cooper, S. L., Pelly, F. E., & Lowe, J. B. (2017) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2017.23 · Cited by 19
Changing expectations: Do journals drive methodological changes? Should they?
Erb, H. N. (2010) · Preventive Veterinary Medicine · doi:10.1016/j.prevetmed.2010.09.011 · Cited by 19
Towards Complete and Accurate Reporting of Studies of Diagnostic Accuracy: The STARD Initiative
Hansell, D. M., & Wells, A. U. (2003) · Clinical Radiology · doi:10.1016/s0009-9260(03)00259-9 · Cited by 19
Design Characteristics Influence Performance of Clinical Prediction Rules in Validation: A Meta-Epidemiological Study
Ban, J.-W., Emparanza, J. I., Urreta, I., & Burls, A. (2016) · PLOS ONE · doi:10.1371/journal.pone.0145779 · Cited by 18
Quantization and diagnosis of Shanghuo (Heatiness) in Chinese medicine using a diagnostic scoring scheme and salivary biochemical parameters
Liu, S., Zhaosheng, H., Wu, Q., Huang, Z., Wu, L., Yan, W., Chang, D. L., Yang, Z., & Wang, Z. (2014) · Chinese Medicine · doi:10.1186/1749-8546-9-2 · Cited by 18
Applying Kraemer’s Q (Positive Sign Rate): Some Implications for Diagnostic Test Accuracy Study Results
Larner, A. J. (2019) · Dementia and Geriatric Cognitive Disorders Extra · doi:10.1159/000503026 · Cited by 18
Adherence to the Standards for Reporting of Diagnostic Accuracy Studies (STARD): a survey of four journals in laboratory medicine
Zheng, F.-F., Shen, W.-H., Gong, F., Hu, Z.-D., Lippi, G., Šimundić, A.-M., Bossuyt, P. M., Plebani, M., & Zhang, K. (2021) · Annals of Translational Medicine · doi:10.21037/atm-21-1665 · Cited by 18
Self-citation
Sex hormone-binding globulin: not a surrogate marker for venous thromboembolism in women using oral contraceptives
Stanczyk, F. Z., & Grimes, D. A. (2008) · Contraception · doi:10.1016/j.contraception.2008.04.004 · Cited by 18
Can we measure the ankle-brachial index using only a stethoscope? A pilot study
do Carmo, G. A. L., Mandil, A., Nascimento, B. R., Arantes, B. D., Bittencourt, J., Falqueto, E. B., & Ribeiro, A. L. P. (2008) · Family Practice · doi:10.1093/fampra/cmn086 · Cited by 18
Development of the SQUIRE Publication Guidelines: Evolution of the SQUIRE Project
Davidoff, F., Batalden, P. B., Stevens, D., Ogrinc, G. S., & Mooney, S. E. (2008) · The Joint Commission Journal on Quality and Patient Safety · doi:10.1016/s1553-7250(08)34087-2 · Cited by 18
What’s new in the diagnosis of pancreatic cancer: a patent review (2011-present)
Boulaiz, H., Ramos, M. C., Griñán‐Lisón, C., García-Rubiño, M. E., Vicente, F., & Marchal, J. A. (2017) · Expert Opinion on Therapeutic Patents · doi:10.1080/13543776.2017.1379991 · Cited by 18
Validez interna y reproducibilidad de la prueba CAGE en Bucaramanga, Colombia.
Herrán, O. F., & Ardila, M. F. (2005) · Biomédica · doi:10.7705/biomedica.v25i2.1346 · Cited by 18
Prostate histoscanning true targeting guided prostate biopsy: initial clinical experience
Sivaraman, A., Sánchez-Salas, R., Barret, É., Macek, P., Validire, P., Galiano, M., Rozet, F., & Cathelineau, X. (2014) · World Journal of Urology · doi:10.1007/s00345-014-1434-y · Cited by 17
Approaching the diagnosis of growth-restricted neonates: a cohort study
Sifianou, P. (2010) · BMC Pregnancy and Childbirth · doi:10.1186/1471-2393-10-6 · Cited by 17
Developing a Neuropsychiatric Functional Brain Imaging Test
Kozel, F. A., & Trivedi, M. H. (2008) · Neurocase · doi:10.1080/13554790701881731 · Cited by 17
Insertion torque recordings for the diagnosis of contact between orthodontic mini-implants and dental roots: protocol for a systematic review
Reynders, R. M., Ladu, L., Ronchi, L., Girolamo, N. D., de Lange, J., Roberts, N. W., & Plüddemann, A. (2015) · Systematic Reviews · doi:10.1186/s13643-015-0014-6 · Cited by 17
Diagnostic ability of a linear discriminant function for optic nerve head parameters measured with optical coherence tomography for perimetric glaucoma
Pablo, L. E., Ferreras, A., Pajarín, A. B., & Fogagnolo, P. (2009) · Eye · doi:10.1038/eye.2009.245 · Cited by 17
Accuracy of screening for posttraumatic stress disorder in specialty mental health clinics in the U.S. Veterans Affairs Healthcare System
Tsai, J., Pietrzak, R. H., Hoff, R. A., & Harpaz‐Rotem, I. (2016) · Psychiatry Research · doi:10.1016/j.psychres.2016.04.036 · Cited by 17
Estimating the accuracy of muscle response testing: two randomised-order blinded studies
Jensen, A. M., Stevens, R., & Burls, A. (2016) · BMC Complementary and Alternative Medicine · doi:10.1186/s12906-016-1416-2 · Cited by 17
What is Test Accuracy? Comparing Unitary Accuracy Metrics for Cognitive Screening Instruments
Larner, A. J. (2019) · Neurodegenerative Disease Management · doi:10.2217/nmt-2019-0017 · Cited by 17
Codex (cognitive disorders examination) for the detection of dementia and mild cognitive impairment
Larner, A. J. (2013) · La Presse Médicale · doi:10.1016/j.lpm.2013.07.014 · Cited by 17
An evidence-based approach to test accuracy studies in gynecologic oncology: the ‘STARD’ checklist
Selman, T. J., Khan, K. S., & Mann, C. H. (2004) · Gynecologic Oncology · doi:10.1016/j.ygyno.2004.09.053 · Cited by 17
Predictive Value of the Heart‐type Fatty Acid–binding Protein and the Pulmonary Embolism Severity Index in Patients With Acute Pulmonary Embolism in the Emergency Department
Lauque, D., Maupas‐Schwalm, F., Bounes, V., Juchet, H., Bongard, V., Roshdy, A., Botella, J. M., & Charpentier, S. (2014) · Academic Emergency Medicine · doi:10.1111/acem.12484 · Cited by 17
The quality of reporting of diagnostic accuracy studies in diabetic retinopathy screening: a systematic review
Zafar, A., Khan, G. I., & Siddiqui, M. A. R. (2008) · Clinical and Experimental Ophthalmology · doi:10.1111/j.1442-9071.2008.01826.x · Cited by 17
Diagnostic Evaluation of ELISA and Chemiluminescent Assays as Alternative Screening Tests to Indirect Immunofluorescence for the Detection of Antibodies to Cellular Antigens
Brito, F. D. A., Santos, S. M. E., Ferreira, G. A., Pedrosa, W., Gradisse, J., Costa, L. C., & Neves, S. P. F. (2016) · American Journal of Clinical Pathology · doi:10.1093/ajcp/aqv083 · Cited by 17
Comparative in vitro study of two methods for gingival biotype assessment
Sala, L., Alonso‐Pérez, R., Agustín‐Panadero, R., Ferreiroa, A., & de Albornoz, A. C. (2018) · Journal of Clinical and Experimental Dentistry · doi:10.4317/jced.55049 · Cited by 17
Evaluation of diagnostic tests for infectious diseases: general principles
Banoo, S., Bell, D., Bossuyt, P. M., Herring, A. J., Mabey, D. C. W., Poole, F., Smith, P. G., Sriram, N., Wongsrichanalai, C., Linke, R., et al. (2008) · Nature Reviews Microbiology · doi:10.1038/nrmicro1523y · Cited by 17
Self-citation
Sources of error and its control in studies on the diagnostic accuracy of “‐omics” technologies
Lumbreras, B., Porta, M. S., Márquez, S., Pollán, M., Parker, L. A., & Hernández‐Aguado, I. (2009) · PROTEOMICS - CLINICAL APPLICATIONS · doi:10.1002/prca.200800092 · Cited by 17
Evidenzbasiertes diagnostisches Vorgehen bei Verdacht auf stumpfes HWS-Trauma
Leidel, B. A., Kanz, K.-G., & Mutschler, W. (2005) · Der Unfallchirurg · doi:10.1007/s00113-005-0968-2 · Cited by 17
D-Dimer and Exhaled CO2/O2 to Detect Segmental Pulmonary Embolism in Moderate-Risk Patients
Kline, J. A., Hogg, M. M., Courtney, D. M., Miller, C. D., Jones, A. E., Smithline, H. A., Klekowski, N., & Lanier, R. (2010) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201001-0129oc · Cited by 17
Commentary on “Making Evidence-Based Decisions About Child Language Intervention in Schools” by Gillam and Gillam
Fey, M. E. (2006) · Language Speech and Hearing Services in Schools · doi:10.1044/0161-1461(2006/036 · Cited by 17
HEART Score Recalibration Using Higher Sensitivity Troponin T
Khand, A. U., Backus, B. E., Campbell, M. J., Frost, F. J., Mullen, L., Fisher, M., Theodoropoulos, K. C., Obeidat, M., Batouskaya, K., Carlton, E. W., et al. (2023) · Annals of Emergency Medicine · doi:10.1016/j.annemergmed.2023.04.024 · Cited by 16
Applying clinical decision aids for the assessment and management of febrile infants presenting to emergency care in the UK and Ireland: Febrile Infant Diagnostic Assessment and Outcome (FIDO) Study protocol
Umana, E., Mills, C., Norman-Bruce, H., Wilson, K. M., Mitchell, H. J., McFetridge, L., Woolfall, K., Lynn, F. A., McKeeman, G. C., Foster, S., et al. (2023) · BMJ Open · doi:10.1136/bmjopen-2023-075823 · Cited by 16
‘Essential’ arterial hypertension: time for a paradigm change
Rossi, G. P., Bagordo, D., Rossi, F. B., Pintus, G., Rossitto, G., & Seccia, T. M. (2024) · Journal of Hypertension · doi:10.1097/hjh.0000000000003767 · Cited by 16
Evaluating Research for Clinical Significance: Using Critically Appraised Topics to Enhance Evidence-based Neuropsychology
Bowden, S. C., Harrison, E., & Loring, D. W. (2013) · The Clinical Neuropsychologist · doi:10.1080/13854046.2013.776636 · Cited by 16
Collectives of diagnostic biomarkers identify high-risk subpopulations of hematuria patients: exploiting heterogeneity in large-scale biomarker data
Emmert‐Streib, F., Abogunrin, F., Simoes, R. D. M., Duggan, B. J., Ruddock, M. W., Reid, C. N., Roddy, O., White, L., O’Kane, H. F., O’Rourke, D. M., et al. (2013) · BMC Medicine · doi:10.1186/1741-7015-11-12 · Cited by 16
Análisis comparativo de pruebas de tamiz para la detección de problemas en el desarrollo diseñadas y validadas en México
Orcajo-Castelán, R., Sidonio-Aguayo, B., Alcacio-Mendoza, J. A., & López-Díaz, G. L. (2015) · Boletín Médico del Hospital Infantil de México · doi:10.1016/j.bmhimx.2015.11.004 · Cited by 16
Correlation or Limits of Agreement? Applying the Bland-Altman Approach to the Comparison of Cognitive Screening Instruments
Larner, A. J. (2016) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000450701 · Cited by 16
Automated morphometry provides accurate and reproducible virtual staging of liver fibrosis in chronic hepatitis C
Calès, P., Chaigneau, J., Hunault, G., Michalak, S., Cavaro‐Ménard, C., Fasquel, J.-B., Bertrais, S., & Rousselet, M. (2015) · Journal of Pathology Informatics · doi:10.4103/2153-3539.157782 · Cited by 16
Assessment of serum sodium to urinary sodium divided by (serum potassium)² to urinary potassium as a screening tool for primary aldosteronism
Steichen, O., Blanchard, A., & Plouin, P. (2010) · European Journal of Clinical Investigation · doi:10.1111/j.1365-2362.2010.02401.x · Cited by 16
Breath tests in pediatrics
Anania, C., Pacifico, L., Olivero, G., Osborn, J. F., Bonaiuto, E., & Chiesa, C. (2008) · Clinica Chimica Acta · doi:10.1016/j.cca.2008.07.023 · Cited by 16
The Quality of Reporting of Diagnostic Accuracy Studies in Glaucoma Using Scanning Laser Polarimetry
Paranjothy, B., Shunmugam, M., & Azuara‐Blanco, A. (2007) · Journal of Glaucoma · doi:10.1097/ijg.0b013e3180457c6d · Cited by 16
Biomarkers to Improve the benefit/risk Balance for Approved Therapeutics: a US FDA Perspective on Personalized Medicine
Sapsford, K. E., Težak, Ž., Kondratovich, M., Pacanowski, M. A., Zineh, I., & Mansfield, E. A. (2010) · Therapeutic Delivery · doi:10.4155/tde.10.62 · Cited by 16
Office Visceral Slide Test Compared With Two Perioperative Tests for Predicting Periumbilical Adhesions
Nezhat, C., Dun, E. C., Katz, A. A., & Wieser, F. A. (2014) · Obstetrics and Gynecology · doi:10.1097/aog.0000000000000239 · Cited by 16
Towards patient self‐triage in the ophthalmic emergency department: sensitivity and specificity of a self‐triage instrument
Eijk, E. S. V., Busschbach, J. J. V., Monteban, H., Timman, R., & Bettink‐Remeijer, M. W. (2014) · Acta Ophthalmologica · doi:10.1111/aos.12342 · Cited by 16
Development and Evaluation of Classifiers
Alonzo, T. A., & PEPE, M. S. (2007) · Methods in molecular biology · doi:10.1007/978-1-59745-530-5_6 · Cited by 16
The problem of lack of normative data in paediatric EMG and possible solutions
Pitt, M. C., & Jabre, J. F. (2017) · Clinical Neurophysiology · doi:10.1016/j.clinph.2017.11.024 · Cited by 16
Development and validation of a quality appraisal tool for validity studies (QAVALS)
Gore, S., Goldberg, A., Huang, M. H., Shoemaker, M. J., & Blackwood, J. (2019) · Physiotherapy Theory and Practice · doi:10.1080/09593985.2019.1636435 · Cited by 16
Reliability and validity of a novel Kinect-based software program for measuring a single leg squat
Ressman, J., Rasmussen-Barr, E., & Grooten, W. J. A. (2020) · BMC Sports Science Medicine and Rehabilitation · doi:10.1186/s13102-020-00179-8 · Cited by 16
High Diagnostic Accuracy of Nitrite Test Paired with Urine Sediment can Reduce Unnecessary Antibiotic Therapy
Ferry, S. A., Holm, S. E., Ferry, M., & Monsen, T. (2015) · The Open Microbiology Journal · doi:10.2174/1874285801509010150 · Cited by 16
Biochemical Markers as Surrogate End Points of Joint Disease
Lohmander, S. L., & Eyre, D. R. (2008) · Springer eBooks · doi:10.1007/978-1-84628-742-8_16 · Cited by 16
Diagnosing chronic cough in children
Shields, M. D. (2006) · Thorax · doi:10.1136/thx.2006.060277 · Cited by 16
How to Critically Appraise the Clinical Literature
Cronin, P., Rawson, J. V., Heilbrun, M. E., Lee, J. M., Kelly, A. M., Sanelli, P. C., Bresnahan, B. W., & Paladin, A. M. (2014) · Academic Radiology · doi:10.1016/j.acra.2014.05.004 · Cited by 15
A significant feature of microvessels in magnifying narrow-band imaging for diagnosis of early gastric cancer
Kanesaka, T., Uedo, N., Yao, K., Ezoe, Y., Doyama, H., Oda, I., Kaneko, K., Kawahara, Y., Yokoi, C., Sugiura, Y., et al. (2015) · Endoscopy International Open · doi:10.1055/s-0034-1392608 · Cited by 15
Guidance in author instructions of hematology and oncology journals: A cross sectional and longitudinal study
Toews, I., Binder, N., Wolff, R. F., Toprak, G., von Elm, E. B., & Meerpohl, J. J. (2017) · PLoS ONE · doi:10.1371/journal.pone.0176489 · Cited by 15
Big endothelin-1 as a tumour marker for canine haemangiosarcoma
Fukumoto, S., Miyasho, T., Hanazono, K., Saida, K., KADOSAWA, T., Iwano, H., & Uchide, T. (2015) · The Veterinary Journal · doi:10.1016/j.tvjl.2015.03.024 · Cited by 15
Functional neuroimaging in Parkinson's disease
de la Fuente‐Fernández, R., Appel‐Cresswell, S., Doudet, D. J., & Sossi, V. (2011) · Expert Opinion on Medical Diagnostics · doi:10.1517/17530059.2011.554820 · Cited by 15
Fecal Calprotectin is an Accurate Tool and Correlated to Seo Index in Prediction of Relapse in Iranian Patients With Ulcerative Colitis
Hosseini, S. V., Jafari, P., Taghavi, S. A., Safarpour, A. R., Rezaianzadeh, A., Moeeni, M., & Mehrabi, M. (2015) · Iranian Red Crescent Medical Journal · doi:10.5812/ircmj.22796 · Cited by 15
Diagnostic accuracy of peripheral venous lactate and the 2009 WHO warning signs for identifying severe dengue in Thai adults: a prospective observational study
Thanachartwet, V., Wattanathum, A., Oer-Areemitr, N., Jittmittraphap, A., Sahassananda, D., Monpassorn, C., Surabotsophon, M., & Desakorn, V. (2015) · BMC Infectious Diseases · doi:10.1186/s12879-016-1386-5 · Cited by 15
Sentence Recognition in Steady-State Speech-Shaped Noise versus Four-Talker Babble
Vermiglio, A. J., Herring, C. C., Heeke, P., Post, C. E., & Fang, X. (2018) · Journal of the American Academy of Audiology · doi:10.3766/jaaa.17083 · Cited by 15
Evolution of proteomic biomarker for chronic liver disease
Nallagangula, K. S., Shashidhar, K., Lakshmaiah, V., & Muninarayana (2018) · Journal of Circulating Biomarkers · doi:10.1177/1849454418777186 · Cited by 15
Epileptogenic Zone Localization With 18FDG PET Using a New Dynamic Parametric Analysis
Mayoral, M., Niñerola‐Baizán, A., Martí-Fuster, B., Donaire, A., Perissinotti, A., Rumià, J., Bargalló, N., Sala‐Llonch, R., Pavı́a, J., Ros, D., et al. (2019) · Frontiers in Neurology · doi:10.3389/fneur.2019.00380 · Cited by 15
Risk assessment for indeterminate pulmonary nodules using a novel, plasma-protein based biomarker assay
Trivedi, N. N., Arjomandi, M., Brown, J. K., Rubenstein, T., Rostykus, A. D., Esposito, S., Axler, E., Beggs, M., Yu, H., Carbonell, L., et al. (2018) · Biomedical Research and Clinical Practice · doi:10.15761/brcp.1000173 · Cited by 15
Immunoenzymatic assay for the diagnosis of American tegumentary leishmaniasis using soluble and membrane‐enriched fractions from infectious Leishmania ( Viannia ) braziliensis
Cataldo, J. I., Mello, F. C. D. Q., Mouta‐Confort, E., Madeira, M. D. F., Schubach, A. D. O., Genestra, M. D. S., Ribeiro, F. C., Moreira‐Venâncio, C. D. F., & Passos, S. R. L. (2010) · Journal of Clinical Laboratory Analysis · doi:10.1002/jcla.20402 · Cited by 15
Analytical validation of novel cardiac biomarkers used in clinical trials
Wu, A. H. B. (2015) · American Heart Journal · doi:10.1016/j.ahj.2015.01.016 · Cited by 15
Diagnostic accuracy of modified transoesophageal echocardiography for pre-incision assessment of aortic atherosclerosis in cardiac surgery patients
van Zaane, B., Nierich, A. P., Bruinsma, G. J. B. B., Rosseel, P. M. J., Ramjankhan, F. Z., de Waal, E. E. C., Bühre, W., & Moons, K. G. M. (2010) · British Journal of Anaesthesia · doi:10.1093/bja/aeq122 · Cited by 15
Development of a method for the separation of corrinoids in ovine tissues by HPLC
Kelly, R. J., Gruner, T., & Sykes, A. R. (2005) · Biomedical Chromatography · doi:10.1002/bmc.444 · Cited by 15
Can we predict necrosis intra-operatively? Real-time optical quantitative perfusion imaging in surgery: study protocol for a prospective, observational, in vivo pilot study
Jansen, S. M., de Bruin, D. M., Henegouwen, M. I. V. B., Strackee, S. D., Veelo, D. P., van Leeuwen, T. G. J. M., & Gisbertz, S. S. (2017) · Pilot and Feasibility Studies · doi:10.1186/s40814-017-0204-1 · Cited by 15
The endometrial cancer detection using non-invasive hypermethylation of CDO1 and CELF4 genes in women with postmenopausal bleeding in Northwest China
Cai, B., Du, J., Wang, Y., Liu, Z., Wang, Y., Li, L., Liu, P., Wang, L., Liu, Q., & Meng, Z. (2024) · CytoJournal · doi:10.25259/cytojournal_78_2023 · Cited by 14
The REFER (REFer for EchocaRdiogram) protocol: a prospective validation of a clinical decision rule, NT-proBNP, or their combination, in the diagnosis of heart failure in primary care. Rationale and design
Tait, L., Roalfe, A. K., Mant, J., Cowie, M., Deeks, J. J., Iles, R., Barton, P. M., Taylor, C. J., Derit, M., & Hobbs, R. F. (2012) · BMC Cardiovascular Disorders · doi:10.1186/1471-2261-12-97 · Cited by 14
Waiting list randomized controlled trial within a case‐finding design: methodological considerations
Ronaldson, S. J., Adamson, J., Dyson, L., & Torgerson, D. J. (2014) · Journal of Evaluation in Clinical Practice · doi:10.1111/jep.12161 · Cited by 14
A multicentric retrospective study of serum/plasma urea and creatinine concentrations in dogs using univariate and multivariate decision rules to evaluate diagnostic efficiency
Concordet, D., Vergez, F., Trumel, C., Diquélou, A., Lanore, D., Garrérès, A. L., Pagès, J. P., Péchereau, D., Médaille, C., & Braun, J. P. (2008) · Veterinary Clinical Pathology · doi:10.1111/j.1939-165x.2008.00007.x · Cited by 14
Health care quality: Misdiagnosis at a university hospital in five medical eras
Kirch, W., F�lsch, U. R., & Shapiro, F. (2004) · Journal of Public Health · doi:10.1007/s10389-004-0038-1 · Cited by 14
Clinical Diagnosis of Lacunar Stroke in the First 6 Hours After Symptom Onset
Phillips, S. J., Dai, D., Mitnitski, A., Gubitz, G. J., Johnston, K. C., Koroshetz, W. J., Furie, K. L., Black, S. E., & Heiselman, D. (2007) · Stroke · doi:10.1161/strokeaha.107.487744 · Cited by 14
Evaluation and improvement of a reliable diagnosis of cirrhosis by blood tests
Calès, P., Boursier, J., de Lédinghen, V., Halfon, P., Bacq, Y., Leroy, V., Dib, N., Oberti, F., Sawadogo, A., Rousselet, M., et al. (2008) · Gastroentérologie Clinique et Biologique · doi:10.1016/j.gcb.2008.09.017 · Cited by 14
Quality of Reporting of Orthopaedic Diagnostic Accuracy Studies is Suboptimal
Rama, K. R. B. S., Poovali, S., & Apsingi, S. (2006) · Clinical Orthopaedics and Related Research · doi:10.1097/01.blo.0000205906.44103.a3 · Cited by 14
Sources of bias in diagnostic accuracy studies and the diagnostic process
Furukawa, T. A., & Guyatt, G. H. (2006) · Canadian Medical Association Journal · doi:10.1503/cmaj.060014 · Cited by 14
Quality standards are needed for reporting of test accuracy studies for animal diseases
Gardner, I. A. (2010) · Preventive Veterinary Medicine · doi:10.1016/j.prevetmed.2010.09.009 · Cited by 14
Early recognition of heart failure in patients with diabetes type 2 in primary care. A prospective diagnostic efficiency study. (UHFO-DM2)
Winter, L. J. B.-D., Rutten, F. H., Cramer, M. J., Liem, A. H., Landman, M. A. J., van Stel, H. F., de Wit, G. A., Rutten, G. E. H. M., Hessen, P. A. W. V., & Hoes, A. W. (2009) · BMC Public Health · doi:10.1186/1471-2458-9-479 · Cited by 14
Comparison of clinical and radiologic treatment outcomes of Kienböck’s disease
Stahl, S., Hentschel, P. J. H., Stahl, A. S., Meisner, C., Schaller, H., & Manoli, T. (2015) · Journal of Orthopaedic Surgery and Research · doi:10.1186/s13018-015-0276-7 · Cited by 14
Reply from Authors re: Jack A. Schalken. Is Urinary Sarcosine Useful to Identify Patients With Significant Prostate Cancer? The Trials and Tribulations of Biomarker Development. Eur Urol 2010;58:19–20
Stephan, C., Jentzmik, F., & Jung, K. (2010) · European Urology · doi:10.1016/j.eururo.2010.03.004 · Cited by 14
Correction: Diagnostic Accuracy of Real-Time PCR Assays Targeting 16S rRNA and lipl32 Genes for Human Leptospirosis in Thailand: A Case-Control Study
Thaipadungpanit, J., Chierakul, W., Wuthiekanun, V., Limmathurotsakul, D., Amornchai, P., Boonslip, S., Smythe, L. D., Limpaiboon, R., Hoffmaster, A. R., Day, N. P. J., et al. (2011) · PLoS ONE · doi:10.1371/annotation/e2b77844-576a-4d20-b698-09ad057872fc · Cited by 14
Is Surface Electromyography (sEMG) a Useful Tool in Identifying Muscle Tension Dysphonia? An Integrative Review of the Current Evidence
Wang, F., & Yiu, E. M. (2024) · Journal of Voice · doi:10.1016/j.jvoice.2021.10.006 · Cited by 13
Decision curve analysis based on summary data
Hozo, I., Guyatt, G. H., & Djulbegović, B. (2023) · Journal of Evaluation in Clinical Practice · doi:10.1111/jep.13945 · Cited by 13
Acute‐phase proteins as diagnostic markers in horses with colic
Pihl, T. H., Scheepers, E., Sanz, M. G., Goddard, A., Page, P. C., Toft, N., Kjelgaard-Hansen, M. J., Andersen, P. H., & Jacobsen, S. E. (2016) · Journal of Veterinary Emergency and Critical Care · doi:10.1111/vec.12504 · Cited by 13
External Validation of the Manchester Acute Coronary Syndromes Decision Rule
Carlton, E. W., Body, R. M., & Greaves, K. (2016) · Academic Emergency Medicine · doi:10.1111/acem.12860 · Cited by 13

Authors: Bossuyt, P. M., Reitsma, J. B., Bruns, D. E., Gatsonis, C. A., Glasziou, P. P., Irwig, L. M., Moher, D., Rennie, D., de Vet, H. C. W., & Lijmer, J. G.
Affiliations: Amsterdam UMC Location University of Amsterdam (NL)
University of Virginia (US)
Brown University (US)
The University of Queensland (AU)
The University of Sydney (AU)
From Academic Medical Center and VU University Medical Center, Amsterdam, the Netherlands; Clinical Chemistry, Charlottesville, Virginia; Brown University, Providence, Rhode Island; University of Queensland Medical School, Herston, Australia; University of Sydney, Sydney, Australia; Thomas C. Chalmers Center for Systematic Reviews, Ottawa, Ontario, Canada; and Journal of the American Medical Association, Chicago, Illinois.
American Medical Association (US)
Vrije Universiteit Amsterdam (NL)
Corresponding author: Bossuyt, Patrick M.
ORCID: Bossuyt, Patrick M.
Reitsma, Johannes B.
Gatsonis, Constantine A.
Glasziou, Paul P.
Moher, David
de Vet, Henrica C.W.
Lijmer, Jeroen G.
Venue: Annals of Internal Medicine
Publisher: American College of Physicians
Published: 2003-01-07
Volume: 138
Issue: 1
Pages: W1-12
ISSN: 0009-9147 (ISSN-L)
0003-4819
1539-3704
DOI: 10.7326/0003-4819-138-1-200301070-00012-w1
OpenAlex: W1498589284
Cited by: 1,124
References: 92
Citations by year: 2026: 5 · 2025: 8 · 2024: 13 · 2023: 12 · 2022: 14 · 2021: 20 · 2020: 28 · 2019: 37 · 2018: 45 · 2017: 47 · 2016: 47 · 2015: 97 · 2014: 86 · 2013: 74 · 2012: 89
FWCI: 69.44
Type: journal article
Language: en
Open access: closed
Licence: www.acpjournals.org/journal/aim/text-and-data-mining (tdm)
Locations: Clinical Chemistry (publishedVersion)
Annals of Internal Medicine (publishedVersion)
PubMed (publishedVersion)
Pure Amsterdam UMC (publishedVersion)
Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion)
Data Archiving and Networked Services (DANS) (submittedVersion)
Pure Amsterdam UMC (submittedVersion)
Topics: Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Clinical practice guidelines implementation
Keywords: diagnostic accuracy studies, reporting quality, reporting checklist, flowcharts, generalizability, applicability
MeSH terms: Algorithms, Clinical Trials as Topic, Publishing, Reference Standards, Research Design, Sensitivity and Specificity, Statistics as Topic, Reproducibility of Results, Bias, Diagnostic Techniques and Procedures

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

The STARD Statement for Reporting Studies of Diagnostic Accuracy: Explanation and Elaboration

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks