ArticleScientific reports2025
Accuracy of saliva tests for SARS-CoV-2 diagnosis during the pandemic in Rio de Janeiro, Brazil.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- AP-Lab: An AI-Driven Autonomous Pilot-Scale Platform Bridging Materials Discovery and Industrial Manufacturing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Assessing the willingness of Nigerian dentists to adopt salivary diagnostic kits: a pilot cross-sectional study.BMC oral health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
Abstract
Saliva is a promising non-invasive alternative to nasopharyngeal swabs (NPS) for SARS-CoV-2 diagnosis, yet its longitudinal performance remains underexplored. This longitudinal study evaluated saliva's diagnostic accuracy against NPS in 72 symptomatic individuals across six visits (July 2021-May 2022), analyzing 285 paired RT-qPCR samples in Rio de Janeiro, Brazil. Using NPS as the reference standard, saliva demonstrated high specificity (96.6%; 95% CI 92.9-98.7%), substantial agreement (91.6%; κ = 0.78; 95% CI 70-86% ; P < 0.001), and variable sensitivity (69.2% overall; 95% CI 57.2-79.5%), ranging from 40% during mid-phase infection (visit 3) to 82% during early infection (visit 1). Cycle threshold (Ct) values revealed slightly higher viral loads in NPS (mean Ct = 26.75) than in saliva (mean Ct = 28.75), with a mean difference of 0.79 cycles. Discordant results (8.4%) revealed saliva's utility in detecting late-stage infections missed by NPS. No significant associations were found between diagnostic agreement and participant characteristics or Ct values. In conclusion, our longitudinal data demonstrate that saliva testing achieves 69.2% sensitivity (ranging from 40 to 82% across infection phases), 96.6% specificity, and 91.6% overall agreement with NPS. The 8.4% discordant results included 1.7% of cases where saliva-detected infections were missed by NPS, highlighting its complementary value in late-stage monitoring. These results, coupled with saliva's stability over time, support its implementation as a scalable, cost-effective diagnostic tool-particularly in resource-limited settings-where its high specificity makes it particularly valuable for rule-out testing despite temporal variations in sensitivity.
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.