Evidence map›Paper›PMID 41658625›Full record

ArticleCureus2026

Saliva as a Reliable and Non-invasive Sample for Detecting Influenza A in Severe Acute Respiratory Infection Cases.

Junko S Takeuchi, Nobuaki Matsunaga, Ai Tsukada, Noriko Iwamoto, Noriko Fuwa, Takahiro Ichikawa, Yasuyuki Kato, Yuka Tomita, Hiroki Kitagawa, Masaya Yamato and 9 more

Abstract read
In one paragraph

Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

Junko S TakeuchiDepartment of Academic-Industrial Partnerships Promotion, Center for Clinical Sciences, Japan Institute for Health Security, Tokyo, JPN.
Nobuaki MatsunagaAntimicrobial Resistance (AMR) Clinical Reference Center, Japan Institute for Health Security, Tokyo, JPN.
Ai TsukadaAntimicrobial Resistance (AMR) Clinical Reference Center, Japan Institute for Health Security, Tokyo, JPN.
Noriko IwamotoDisease Control and Prevention Center, Japan Institute for Health Security, Tokyo, JPN.
Noriko FuwaDisease Control and Prevention Center, Japan Institute for Health Security, Tokyo, JPN.
Takahiro IchikawaDepartment of Infectious Diseases, Sapporo City General Hospital, Hokkaido, JPN.
Yasuyuki KatoDepartment of Infectious Diseases, International University of Health and Welfare (IUHW) Narita Hospital, Chiba, JPN.
Yuka TomitaDepartment of Infectious Diseases, Japanese Red Cross Aichi Medical Center Nagoya Daini Hospital, Aichi, JPN.
Hiroki KitagawaDepartment of Infectious Diseases, Hiroshima University Hospital, Hiroshima, JPN.
Masaya YamatoDepartment of General Internal Medicine and Infectious Diseases, Rinku General Medical Center, Osaka, JPN.
Tetsuji AoyagiDepartment of Clinical Infectious Diseases, Tohoku University Graduate School of Medicine, Miyagi, JPN.
Hideharu HagiyaDepartment of Infectious Diseases, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, JPN.
Ryota HaseDepartment of Infectious Diseases, Japanese Red Cross Narita Hospital, Chiba, JPN.
Shuji HatakeyamaDivision of Infectious Diseases, Jichi Medical University Hospital, Tochigi, JPN.
Tohru InabaDepartment of Infection Control and Laboratory Medicine, Kyoto Prefectural University of Medicine, Kyoto, JPN.
Koichi IzumikawaDepartment of Infectious Diseases, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, JPN.
Yoshio TakesueDepartment of Infectious Diseases, Chita Peninsula General Medical Organization, Chita Peninsula Rinku Hospital, Aichi, JPN.
Moto KimuraDepartment of Academic-Industrial Partnerships Promotion, Center for Clinical Sciences, Japan Institute for Health Security, Tokyo, JPN.
Norio OhmagariDisease Control and Prevention Center, Japan Institute for Health Security, Tokyo, JPN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Nasopharyngeal swab sampling remains the gold standard for influenza diagnosis; however, it has several limitations, including dependence on medical staff, invasiveness, potential for nosocomial transmission, and occupational exposure risk. Non-invasive alternatives, such as saliva and nasal vestibular swabs, may improve patient comfort and participation in clinical studies. In addition, diagnosis with reverse transcription real-time quantitative polymerase chain reaction (RT-qPCR) is often delayed because it requires trained laboratory technicians and facilities with appropriate laboratory settings. Although rapid diagnostic devices such as the GenPad® offer potential alternatives to RT-qPCR, their performance with non-invasive samples remains insufficiently explored. This study addresses the two key questions for influenza detection in severe acute respiratory infection (SARI) cases: (i) whether saliva or nasal vestibular swab samples serve as suitable alternatives to nasopharyngeal swab samples, and (ii) whether the GenPad® provides a reliable option for detecting influenza using saliva samples. Methodology A prospective observational study was conducted with 16 inpatients classified as having SARIs and diagnosed with influenza between December 2024 and March 2025 in Japan. Paired saliva and nasal vestibular swab samples were collected 1-9 (median = 3.5) days after symptom onset. RT-qPCR testing was performed according to the National Institute of Infectious Diseases protocol. Saliva samples were also tested using the GenPad® system. Comparisons between sample types and diagnostic methods were analyzed using the exact McNemar's test. Results Among the 16 influenza-positive patients, saliva samples demonstrated higher sensitivity (87.5%) than nasal vestibular swabs (31.3%) in RT-qPCR when compared with the diagnostic results obtained from nasopharyngeal swabs. A comparison of RT-qPCR results between saliva and nasal vestibular swabs revealed a total agreement of 43.8%, with exact McNemar's test showing a significant difference (p = 0.0039). While nasal vestibular swabs showed inconsistent results, saliva samples consistently tested positive, particularly within seven days of symptom onset (100% positive agreement). The GenPad®, a rapid diagnostic device, showed promising performance (92.9%) using saliva samples compared to RT-qPCR. Conclusions Saliva is a reliable non-invasive alternative to nasopharyngeal swabs for influenza detection in SARI cases, particularly within seven days of symptom onset, whereas nasal vestibular swabs show lower sensitivity. Additionally, the GenPad® provides comparable performance to RT-qPCR using saliva samples, offering a rapid, portable diagnostic option. These approaches may mitigate discomfort, minimize infection risk for healthcare workers, and improve testing capacity. However, the absence of influenza-negative controls and the small sample size (n = 16) substantially limit the assessment of diagnostic accuracy and specificity. As a result, the broader applicability of our findings should be interpreted with caution, and further studies are required to validate these observations.

Indexed as

influenza anasal vestibular swabnasopharyngeal swabrapid diagnosticsrt-qpcrsalivasari

Identifiers

PMID41658625
PMCPMC12873441

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Registered trials

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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.