Evidence map›Paper›PMID 38675878›Full record

ArticleViruses2024

Comparative Performance in the Detection of Four Coronavirus Genera from Human, Animal, and Environmental Specimens.

Supaporn Wacharapluesadee, Nattakarn Thippamom, Piyapha Hirunpatrawong, Khwankamon Rattanatumhi, Spencer L Sterling, Wiparat Khunnawutmanotham, Kirana Noradechanon, Patarapol Maneeorn, Rome Buathong, Leilani Paitoonpong and 1 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in Viruses, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.3field-weighted citation impact, top 12% of its field
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

5 citing papers in PubMed, 6 citations in OpenAlex.

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  5. First Detection ofPathogens (Basel, Switzerland) · 2025
    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

11 authors at 5 institutions in 2 countries.

Supaporn WacharapluesadeeThai Red Cross Emerging Infectious Diseases Clinical Center, King Chulalongkorn Memorial Hospital, Bangkok 10330, Thailand.ORCID 0000-0001-7636-1900
Nattakarn ThippamomThai Red Cross Emerging Infectious Diseases Clinical Center, King Chulalongkorn Memorial Hospital, Bangkok 10330, Thailand.
Piyapha HirunpatrawongThai Red Cross Emerging Infectious Diseases Clinical Center, King Chulalongkorn Memorial Hospital, Bangkok 10330, Thailand.
Khwankamon RattanatumhiThai Red Cross Emerging Infectious Diseases Clinical Center, King Chulalongkorn Memorial Hospital, Bangkok 10330, Thailand.ORCID 0000-0002-9260-5108
Spencer L SterlingFaculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand.ORCID 0000-0002-5924-4056
Wiparat KhunnawutmanothamThai Red Cross Emerging Infectious Diseases Clinical Center, King Chulalongkorn Memorial Hospital, Bangkok 10330, Thailand.
Kirana NoradechanonDepartment of National Parks, Wildlife and Plant Conservation, Ministry of Natural Resources and Environment, Bangkok 10900, Thailand.
Patarapol ManeeornDepartment of National Parks, Wildlife and Plant Conservation, Ministry of Natural Resources and Environment, Bangkok 10900, Thailand.
Rome BuathongDepartment of Disease Control, Ministry of Public Health, Muang, Nonthaburi 11000, Thailand.
Leilani PaitoonpongThai Red Cross Emerging Infectious Diseases Clinical Center, King Chulalongkorn Memorial Hospital, Bangkok 10330, Thailand.
Opass PutcharoenThai Red Cross Emerging Infectious Diseases Clinical Center, King Chulalongkorn Memorial Hospital, Bangkok 10330, Thailand.ORCID 0000-0001-8444-8512
Chulalongkorn University · THKing Chulalongkorn Memorial Hospital · THDepartment of National Parks Wildlife and Plant Conservation · THHenry M. Jackson Foundation · USMinistry of Public Health · TH

Funding

Understanding Risk of Zoonotic Virus Emergence in EID Hotspots of Southeast AsiaU01AI151797 · NIAID · ECOHEALTH ALLIANCE, INC. · PI DASZAK, PETER · 2020 to 2023
$6.0M
ACL HHS U01GH002402CDC HHS Cooperative Agreement No. U01GH002402CGH CDC HHS U01 GH002402NIAID NIH HHS U01 AI151797
6 · The paper itself

Abstract

Emerging coronaviruses (CoVs) are understood to cause critical human and domestic animal diseases; the spillover from wildlife reservoirs can result in mild and severe respiratory illness in humans and domestic animals and can spread more readily in these naïve hosts. A low-cost CoV molecular method that can detect a variety of CoVs from humans, animals, and environmental specimens is an initial step to ensure the early identification of known and new viruses. We examine a collection of 50 human, 46 wastewater, 28 bat, and 17 avian archived specimens using 3 published pan-CoV PCR assays called Q-, W-, and X-CoV PCR, to compare the performance of each assay against four CoV genera. X-CoV PCR can detect all four CoV genera, but Q- and W-CoV PCR failed to detect δ-CoV. In total, 21 (42.0%), 9 (18.0%), and 21 (42.0%) of 50 human specimens and 30 (65.22%), 6 (13.04%), and 27 (58.70%) of 46 wastewater specimens were detected using Q-, W-, and X-CoV PCR assays, respectively. The X-CoV PCR assay has a comparable sensitivity to Q-CoV PCR in bat CoV detection. Combining Q- and X-CoV PCR assays can increase sensitivity and avoid false negative results in the early detection of novel CoVs.

Indexed as

CoronavirusSensitivity and SpecificityAnimalsBirdsChiropteraCoronavirus InfectionsHumansPolymerase Chain ReactionWastewaterWastewatercoronavirusespan-CoV PCRPCRreservoir hostsurveillance

Identifiers

PMID38675878
PMCPMC11054315
OpenAlexW4393356988

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.