Evidence map›Paper›PMID 31447827›Full record

ArticleFrontiers in microbiology2019

Comparative Evaluation of a Novel Recombinase Polymerase Amplification-Lateral Flow Dipstick (RPA-LFD) Assay, LAMP, Conventional PCR, and Leaf-Disc Baiting Methods for Detection of

Tingting Dai, Xiao Yang, Tao Hu, Binbin Jiao, Yue Xu, Xiaobo Zheng, Danyu Shen

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Catching the ElusiveBiotech (Basel (Switzerland)) · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Frontiers in cellular and infection microbiology · 2025
    Article
  8. Article
  9. Article
  10. Rapid Visual Detection ofPlants (Basel, Switzerland) · 2024
    Article
  11. Article
  12. A rapid and ultra-sensitive dual readout platform forFrontiers in cellular and infection microbiology · 2024
    Article
  13. Article
  14. Article
  15. Rapid and Sensitive Detection ofInternational journal of molecular sciences · 2023
    Article
  16. RPA-CRISPR/Cas12a mediated isothermal amplification for visual detection ofFrontiers in cellular and infection microbiology · 2023
    Article
  17. Article
  18. Review
  19. Rapid Detection ofFrontiers in cellular and infection microbiology · 2022
    Article
  20. Rapid Detection ofFrontiers in cellular and infection microbiology · 2022
    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

7 authors.

Tingting DaiCollege of Forestry, Co-Innovation Center for the Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, China.
Xiao YangForeign Disease-Weed Science Research Unit, USDA, Agricultural Research Service, Fort Detrick, MD, United States.
Tao HuCollege of Forestry, Co-Innovation Center for the Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, China.
Binbin JiaoTechnical Center for Animal, Plant and Food Inspection and Quarantine of Shanghai Customs, Shanghai, China.
Yue XuCollege of Forestry, Co-Innovation Center for the Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, China.
Xiaobo ZhengDepartment of Plant Pathology, Nanjing Agricultural University, Nanjing, China.
Danyu ShenDepartment of Plant Pathology, Nanjing Agricultural University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early and accurate detection of the causal pathogen

Indexed as

field diagnosisoomycetesPhytophthora melonisPhytophthora sansomeanaPhytophthora vignaeplant destroyers

Identifiers

PMID31447827
PMCPMC6696978

What OpenQuestion holds

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LicenceCC BY
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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.