Evidence map›Paper›PMID 32817802›Full record

ArticleTropical diseases, travel medicine and vaccines2020

Panspecies molecular assays detect viral pathogens missed by real-time PCR/reverse-transcriptase PCR among pneumonia patients, Sarawak, Malaysia.

Jane K Fieldhouse, Emily S Bailey, Teck-Hock Toh, King-Ching Hii, Kerry A Mallinson, Jakie Ting, John A Lednicky, Antoinette Berita, Tham Thi Nguyen, Diego Galan and 5 more

Open access · goldAbstract read
In one paragraph

Article in Tropical diseases, travel medicine and vaccines, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.2field-weighted citation impact, top 39% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
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  4. Revisiting the emergence of the Chikungunya virus in Alagoas, Northeast of Brazil.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2025
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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

15 authors at 6 institutions in 4 countries.

Jane K FieldhouseDivision of Infectious Diseases, Duke University School of Medicine, DUMC Box 102359, Durham, NC 27710 USA.
Emily S BaileyDivision of Infectious Diseases, Duke University School of Medicine, DUMC Box 102359, Durham, NC 27710 USA.
Teck-Hock TohClinical Research Center, Sibu Hospital, Ministry of Health Malaysia, Sibu, Sarawak Malaysia.
King-Ching HiiKapit Hospital, Ministry of Health Malaysia, Kapit, Sarawak Malaysia.
Kerry A MallinsonDuke Global Health Institute, Duke University, Durham, North Carolina USA.
Jakie TingClinical Research Center, Sibu Hospital, Ministry of Health Malaysia, Sibu, Sarawak Malaysia.
John A LednickyDepartment of Environmental and Global Health, University of Florida, Gainesville, Florida USA.
Antoinette BeritaKapit Hospital, Ministry of Health Malaysia, Kapit, Sarawak Malaysia.
Tham Thi NguyenEmerging Infectious Disease Program, Duke-NUS Medical School, Singapore, Singapore.
Diego GalanDivision of Infectious Diseases, Duke University School of Medicine, DUMC Box 102359, Durham, NC 27710 USA.
Son T ThanEmerging Infectious Disease Program, Duke-NUS Medical School, Singapore, Singapore.
See-Chang WongFaculty of Medicine, SEGi University, Kota Damansara, Selangor Malaysia.
Toh-Mee WongClinical Research Center, Sibu Hospital, Ministry of Health Malaysia, Sibu, Sarawak Malaysia.
Patrick J BlairNaval Medical Research Center-Asia, Singapore, Singapore.
Gregory C GrayDivision of Infectious Diseases, Duke University School of Medicine, DUMC Box 102359, Durham, NC 27710 USA.ORCID 0000-0002-4628-5908
Ministry of Health · MYDuke University · USDuke-NUS Medical School · SGSibu Hospital · MYTexas Tech University · USUniversity of Florida Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn a year-long pneumonia etiology study conducted June 2017 to May 2018 in Sarawak, Malaysia, 599 patients' nasopharyngeal swab specimens were studied with real-time polymerase chain reaction (rPCR)/ reverse-transcription (rRT-PCR) assays for respiratory pathogens known to contribute to the high burden of lower respiratory tract infections. The study team sought to compare real-time assay results with panspecies conventional molecular diagnostics to compare sensitivities and learn if novel viruses had been missed.

methodsSpecimens were studied for evidence of adenovirus (AdV), enterovirus (EV) and coronavirus (CoV) with panspecies gel-based nested PCR/RT-PCR assays. Gene sequences of specimens positive by panspecies assays were sequenced and studied with the NCBI Basic Local Alignment Search Tool software.

resultsThere was considerable discordance between real-time and conventional molecular methods. The real-time AdV assay found a positivity of 10.4%; however, the AdV panspecies assay detected a positivity of 12.4% and the conventional AdV-Hexon assay detected a positivity of 19.6%. The CoV and EV panspecies assays similarly detected more positive specimens than the real-time assays, with a positivity of 7.8% by the CoV panspecies assay versus 4.2% by rRT-PCR, and 8.0% by the EV panspecies assay versus 1.0% by rRT-PCR. We were not able to ascertain virus viability in this setting. While most discordance was likely due to assay sensitivity for previously described human viruses, two novel, possible zoonotic AdV were detected.

conclusionsThe observed differences in the two modes of amplification suggest that where a problem with sensitivity is suspected, real-time assay results might be supplemented with panspecies conventional PCR/RT-PCR assays.

Indexed as

MalaysiaMolecular assayPanspeciesPneumoniaRespiratory viruses

Identifiers

PMID32817802
PMCPMC7422451
OpenAlexW3048895009

What OpenQuestion holds

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LicenceCC BY
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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.