ReviewAmerican journal of epidemiology2021
Diagnostic Accuracy Estimates for COVID-19 Real-Time Polymerase Chain Reaction and Lateral Flow Immunoassay Tests With Bayesian Latent-Class Models.
Review in American journal of epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
29 citing papers in PubMed, 63 citations in OpenAlex.
- Using forensic autopsy data to estimate the age-specific infection fatality risk of COVID-19.Epidemiology and infection · 2026Article
- Article
- Fast, Simple Electrochromic Biosensors for Point-of-Use Infectious Disease Diagnosis.Analytical chemistry · 2025Article
- Community-acquired pneumonia identification from electronic health records in the absence of a gold standard: A Bayesian latent class analysis.PLOS digital health · 2025Article
- Association between maternal anemia during pregnancy with low birth weight their infants.Scientific reports · 2025Article
- Article
- Cost-effectiveness of COVID rapid diagnostic tests for patients with severe/critical illness in low- and middle-income countries: A modeling study.PLoS medicine · 2024Article
- Expression of soluble moloney murine leukemia virus-reverse transcriptase in Escherichia coli BL21 star (DE3) using autoinduction system.Molecular biology reports · 2024Article
- Detection of COVID-19 features in lung ultrasound images using deep neural networks.Communications medicine · 2024Article
- Estimating cutoff values for diagnostic tests to achieve target specificity using extreme value theory.BMC medical research methodology · 2024Article
- Performance evaluation of SARS-CoV-2 rapid diagnostic tests in Nigeria: A cross-sectional study.PLOS global public health · 2024Article
- Cardiac Magnetic Resonance Imaging in COVID-19 Vaccine-Associated Myocarditis Compared With Classical Myocarditis.JACC. Advances · 2023Article
- Estimating the number of probable new SARS-CoV-2 infections among tested subjects from the number of confirmed cases.BMC medical research methodology · 2023Article
- Determination of the Diagnostic Performance of Laboratory Tests in the Absence of a Perfect Reference Standard: The Case of SARS-CoV-2 Tests.Diagnostics (Basel, Switzerland) · 2023Article
- Addressing misclassification bias in vaccine effectiveness studies with an application to Covid-19.BMC medical research methodology · 2023Article
- Novel Comparative Study for the Detection of COVID-19 Using CT Scan and Chest X-ray Images.International journal of environmental research and public health · 2023Article
- Article
- Article
- Evaluation of diagnostic test procedures for SARS-CoV-2 using latent class models.Journal of medical virology · 2022Article
- Real-World Evidence-Current Developments and Perspectives.International journal of environmental research and public health · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Our objective was to estimate the diagnostic accuracy of real-time polymerase chain reaction (RT-PCR) and lateral flow immunoassay (LFIA) tests for coronavirus disease 2019 (COVID-19), depending on the time after symptom onset. Based on the cross-classified results of RT-PCR and LFIA, we used Bayesian latent-class models, which do not require a gold standard for the evaluation of diagnostics. Data were extracted from studies that evaluated LFIA (immunoglobulin G (IgG) and/or immunoglobulin M (IgM)) assays using RT-PCR as the reference method. The sensitivity of RT-PCR was 0.68 (95% probability interval (PrI): 0.63, 0.73). IgG/M sensitivity was 0.32 (95% PrI :0.23; 0.41) for the first week and increased steadily. It was 0.75 (95% PrI: 0.67; 0.83) and 0.93 (95% PrI: 0.88; 0.97) for the second and third weeks after symptom onset, respectively. Both tests had a high to absolute specificity, with higher point median estimates for RT-PCR specificity and narrower probability intervals. The specificity of RT-PCR was 0.99 (95% PrI: 0.98; 1.00). and the specificity of IgG/IgM was 0.97 (95% PrI: 0.92, 1.00), 0.98 (95% PrI: 0.95, 1.00) and 0.98 (95% PrI: 0.94, 1.00) for the first, second, and third weeks after symptom onset. The diagnostic accuracy of LFIA varies with time after symptom onset. Bayesian latent-class models provide a valid and efficient alternative for evaluating the rapidly evolving diagnostics for COVID-19, under various clinical settings and different risk profiles.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.