SynthesisJournal of clinical microbiology2021
Performance of Saliva, Oropharyngeal Swabs, and Nasal Swabs for SARS-CoV-2 Molecular Detection: a Systematic Review and Meta-analysis.
Synthesis in Journal of clinical microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 187 papers, 10 of them syntheses that pooled it.
What it found
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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
187 citing papers in PubMed, 10 syntheses or guidelines pooled it, 310 citations in OpenAlex.
- The effect of sample site and collection procedure on identification of SARS-CoV-2 infection.The Cochrane database of systematic reviews · 2024Pooled it
- Bayesian hierarchical models incorporating study-level covariates for multivariate meta-analysis of diagnostic tests without a gold standard with application to COVID-19.Statistics in medicine · 2023Pooled it
- Diagnostic accuracy of rapid antigen test for SARS-CoV-2: A systematic review and meta-analysis of 166,943 suspected COVID-19 patients.Microbiological research · 2022Pooled it
- Salivary Biomarkers Associated with Psychological Alterations in Patients with Diabetes: A Systematic Review.Medicina (Kaunas, Lithuania) · 2022Pooled it
- Update of Guidelines for Laboratory Diagnosis of COVID-19 in Korea.Annals of laboratory medicine · 2022Guideline
- Is saliva collected passively without forceful coughing sensitive to detect SARS-CoV-2 in ambulatory cases? A systematic review.Oral surgery, oral medicine, oral pathology and oral radiology · 2022Pooled it
- The diagnostic accuracy of RT-PCR from self-collected saliva versus nasopharyngeal sampling: A systematic review and meta-analysis.Saudi medical journal · 2022Pooled it
- Diagnostic performance of different sampling approaches for SARS-CoV-2 RT-PCR testing: a systematic review and meta-analysis.The Lancet. Infectious diseases · 2021Pooled it
- Pooled it
- Nasal swab is a good alternative sample for detecting SARS-CoV-2 with rapid antigen test: A meta-analysis.Travel medicine and infectious diseasePooled it
- Diagnostic accuracy of non-invasive SARS-CoV-2 screening tests: a national prospective analysis.BMC infectious diseases · 2025Trial
- SARS-CoV-2 viral dynamics in a placebo-controlled phase 2 study of patients infected with the SARS-CoV-2 Omicron variant and treated with pomotrelvir.Microbiology spectrum · 2024Trial
- Trial
- Comparison of Four Active SARS-CoV-2 Surveillance Strategies in Representative Population Sample Points: Two-Factor Factorial Randomized Controlled Trial.JMIR public health and surveillance · 2023Trial
- A novel anterior nasal swab to detect respiratory viruses: a prospective study of diagnostic accuracy.BMC pediatrics · 2023Trial
- Favipiravir for Treatment of Outpatients With Asymptomatic or Uncomplicated Coronavirus Disease 2019: A Double-Blind, Randomized, Placebo-Controlled, Phase 2 Trial.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2022Trial
- Trial
- Advances on Sensors and Diagnostics of SARS-CoV-2 Biomarkers.Analytical chemistry · 2026Article
- Longitudinal genomic surveillance of SARS-CoV-2 in a university microcosm reflects global evolutionary trends.Microbiology spectrum · 2026Article
- Evaluating Viral Load Sampling Schemes and Swabbing Methods for Optimal Surrogacy.The Journal of infectious diseases · 2026Article
127 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Nasopharyngeal (NP) swabs are considered the highest-yield sample for diagnostic testing for respiratory viruses, including SARS-CoV-2. The need to increase capacity for SARS-CoV-2 testing in a variety of settings, combined with shortages of sample collection supplies, have motivated a search for alternative sample types with high sensitivity. We systematically reviewed the literature to understand the performance of alternative sample types compared to NP swabs. We systematically searched PubMed, Google Scholar, medRxiv, and bioRxiv (last retrieval 1 October 2020) for comparative studies of alternative specimen types (saliva, oropharyngeal [OP], and nasal [NS] swabs) versus NP swabs for SARS-CoV-2 diagnosis using nucleic acid amplification testing (NAAT). A logistic-normal random-effects meta-analysis was performed to calculate % positive alternative-specimen, % positive NP, and % dual positives overall and in subgroups. The QUADAS 2 tool was used to assess bias. From 1,253 unique citations, we identified 25 saliva, 11 NS, 6 OP, and 4 OP/NS studies meeting inclusion criteria. Three specimen types captured lower % positives (NS [82%, 95% CI: 73 to 90%], OP [84%, 95% CI: 57 to 100%], and saliva [88%, 95% CI: 81 to 93%]) than NP swabs, while combined OP/NS matched NP performance (97%, 95% CI: 90 to 100%). Absence of RNA extraction (saliva) and utilization of a more sensitive NAAT (NS) substantially decreased alternative-specimen yield of positive samples. NP swabs remain the gold standard for diagnosis of SARS-CoV-2, although alternative specimens are promising. Much remains unknown about the impact of variations in specimen collection, processing protocols, and population (pediatric versus adult, late versus early in disease course), such that head-to head studies of sampling strategies are urgently needed.
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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.