Evidence map›Paper›PMID 32964030›Full record

SynthesisBioMed research international2020

Evaluation of Lateral-Flow Assay for Rapid Detection of Influenza Virus.

Meng-Yi Han, Tian-Ao Xie, Jia-Xin Li, Hui-Jin Chen, Xiao-Hui Yang, Xu-Guang Guo

Open access · hybridAbstract readMeta-Analysis
In one paragraph

Synthesis in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 16% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
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  11. Advances in Detection Techniques for the H5N1 Avian Influenza Virus.International journal of molecular sciences · 2023
    Review
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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

6 authors at 1 institution in 1 country.

Meng-Yi HanDepartment of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou 511436, China.
Tian-Ao XieDepartment of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou 511436, China.
Jia-Xin LiDepartment of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou 511436, China.
Hui-Jin ChenDepartment of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou 511436, China.
Xiao-Hui YangDepartment of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou 511436, China.
Xu-Guang GuoDepartment of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou 511436, China.ORCID https://orcid.org/0000-0003-1302-5234
Third Affiliated Hospital of Guangzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInfluenza virus mainly causes acute respiratory infections in humans. However, the diagnosis of influenza is not accurate based on clinical evidence, as the symptoms of flu are similar to other respiratory virus. The lateral-flow assay is a rapid method to detect influenza virus. But the effectiveness of the technique in detecting flu viruses is unclear. Hence, a meta-analysis would be performed to evaluate the accuracy of LFA in detecting influenza virus.

methodsRelevant literature was searched out in PubMed, Embase, Web of Science, and Cochrane Library databases with the keywords "lateral flow assay" and "flu virus". By Meta-DiSc software, pooled sensitivity, pooled specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), summary receiver operating characteristic curve (SROC), and area under the curve (AUC) can be calculated.

resultsThis meta-analysis contains 13 studies and 24 data. The pooled sensitivity and specificity of the influenza virus detected by LFA were 0.84 (95% CI: 0.82-0.86) and 0.97 (95% CI: 0.97-0.98), respectively. The pooled values of PLR, NLR, DOR, and SROC were 32.68 (17.16-62.24), 0.17 (0.13-0.24), 334.07 (144.27-773.53), and 0.9877. No publication bias was found.

conclusionsLFA exhibited high sensitivity and specificity in diagnosing influenza virus. It is a valuable alternative method which can diagnose influenza virus quickly. However, more evidence is required to confirm whether LFA is comparable to traditional methods for detecting the virus.

Indexed as

AnimalsArea Under CurveHumansOrthomyxoviridaeOrthomyxoviridae InfectionsROC CurveSensitivity and Specificity

Identifiers

PMID32964030
PMCPMC7495160
OpenAlexW3084015207

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.