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Rapid integrated molecular testing shows high diagnostic accuracy for influenza, RSV, and SARS-CoV-2Rapid molecular testing shows high accuracy for common respiratory viruses

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Key Takeaway
Note high diagnostic accuracy for rapid integrated molecular testing of influenza, RSV, and SARS-CoV-2.

This meta-analysis evaluates the diagnostic accuracy of rapid integrated molecular testing for the detection of influenza A, influenza B, respiratory syncytial virus (RSV), and SARS-CoV-2. The analysis synthesizes data from both laboratory and near-patient settings to determine sensitivity and specificity for these respiratory pathogens.

The meta-analysis reports high diagnostic performance across all tested pathogens. Specifically, sensitivity was 0.970 for influenza A, 0.961 for influenza B, 0.955 for RSV, and 0.950 for SARS-CoV-2. Corresponding specificity values were 0.987 for influenza A, 0.992 for influenza B, 0.992 for RSV, and 0.992 for SARS-CoV-2. The overall sensitivity was 0.971 (95% CI, 0.955-0.982) and the overall specificity was 0.991 (95% CI, 0.980-0.996). The HSROC area under the curve was 0.957.

Authors note that these overall estimates and the HSROC area are exploratory summaries. This is due to significant heterogeneity in testing platforms, specimen types, study populations, clinical settings, study designs, and reference methods. Additionally, the study did not establish direct clinical or economic benefits. These findings suggest high diagnostic accuracy for rapid integrated molecular testing in clinical practice.

When someone feels a sudden cough or fever, getting a quick and accurate diagnosis is the first step toward the right treatment. New data shows that rapid integrated molecular testing is highly effective at identifying the most common respiratory viruses circulating today.

Researchers looked at how well these tests performed for Influenza A, Influenza B, Respiratory Syncytial Virus (RSV), and SARS-CoV-2. The results were very strong. For example, the tests showed high sensitivity, which means they were very good at correctly identifying people who actually had the infections. Specificity was also high, meaning the tests rarely gave a false positive result.

While the results are promising, it is important to remember that these tests were tested across many different settings and types of samples. Because of these variations, the overall numbers are considered exploratory summaries. While the test shows high accuracy for these four major viruses, the study did not measure specific clinical or economic benefits for patients.

What this means for you:
Rapid molecular tests show high accuracy in identifying influenza, RSV, and COVID-19.

Common questions

Can these tests identify different types of flu?

Yes, the tests showed high accuracy for both Influenza A (0.970 sensitivity and 0.987 specificity) and Influenza B (0.961 sensitivity and 0.992 specificity).

Is this test accurate for RSV?

The results show the test is highly accurate for Respiratory Syncytial Virus (RSV), with a sensitivity of 0.955 and a specificity of 0.992.

Study Details

Study typeMeta analysis
EvidenceLevel 1
PublishedSep 2026
View Original Abstract ↓
BackgroundRapid integrated molecular tests are automated sample-to-answer nucleic acid amplification systems that provide respiratory virus results within approximately 120 min. Because their use ranges from genuine near-patient sites to rapid laboratory workflows, testing environments must be clearly classified.MethodsPubMed, Embase, and the Cochrane Library were searched from inception through June 2026 without language restrictions. Diagnostic-accuracy studies evaluating integrated rapid molecular assays for influenza A, influenza B, respiratory syncytial virus (RSV), or SARS-CoV-2 were eligible. For the primary analysis, one prespecified platform and one non-nested cohort were selected from each study, and target-specific 2 × 2 counts were aggregated into one study-level composite record. Sensitivity and specificity were jointly synthesized using a bivariate random-effects model. The overall analysis was considered exploratory, with pathogen-specific findings prioritized. Pathogen- and setting-specific subgroup analyses, leave-one-study-out analyses, QUADAS-2 assessment, and Deeks' funnel-plot asymmetry testing were performed.ResultsOf 1,337 identified records, 43 underwent full-text assessment and 23 were excluded. Twenty studies contributed 20 independent study-level records. Sensitivity and specificity were 0.970 and 0.987 for influenza A, 0.961 and 0.992 for influenza B, 0.955 and 0.992 for RSV, and 0.950 and 0.992 for SARS-CoV-2, respectively. The exploratory overall analysis yielded a sensitivity of 0.971 [95% confidence interval (CI), 0.955–0.982], specificity of 0.991 (95% CI, 0.980–0.996), and HSROC area under the curve of 0.957. Five studies were conducted in genuine near-patient settings and 15 in laboratory settings. Leave-one-study-out estimates ranged from 0.968 to 0.974 for sensitivity and 0.989 to 0.992 for specificity. Deeks' test showed no statistically significant funnel-plot asymmetry (P = 0.269).ConclusionsPathogen-specific analyses indicated high diagnostic accuracy for rapid integrated molecular testing of influenza A, influenza B, RSV, and SARS-CoV-2. Because platforms, specimens, populations, settings, designs, and reference methods varied, the overall estimates and HSROC area should be interpreted only as exploratory summaries. Most studies were laboratory based, and direct clinical or economic benefits were not established.
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