Evidence map›Paper›PMID 41625155›Full record

ArticleFrontiers in cellular and infection microbiology2025

Loop-mediated isothermal amplification assay for rapid diagnosis soybean damping-off disease caused by

Xiangrong Zheng, Jian Yu, Jinfeng Peng, Xiuwen Qiu, Yaya Sun, Danyang Fu, Yusufjon Gafforov, Ali Chenari Bouket, Jiajia Chen

Abstract readEvaluation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2025. 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. Morphological and phylogenetic analyses of anFrontiers in cellular and infection microbiology · 2026
    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

9 authors.

Xiangrong ZhengCollege of Landscape Architecture, Jiangsu Vocational College of Agriculture and Forestry, Zhenjiang, China.
Jian YuCollege of Landscape Architecture, Jiangsu Vocational College of Agriculture and Forestry, Zhenjiang, China.
Jinfeng PengCollege of Landscape Architecture, Jiangsu Vocational College of Agriculture and Forestry, Zhenjiang, China.
Xiuwen QiuCollege of Landscape Architecture, Jiangsu Vocational College of Agriculture and Forestry, Zhenjiang, China.
Yaya SunCollege of Landscape Architecture, Jiangsu Vocational College of Agriculture and Forestry, Zhenjiang, China.
Danyang FuCollege of Landscape Architecture, Jiangsu Vocational College of Agriculture and Forestry, Zhenjiang, China.
Yusufjon GafforovCentral Asian Center for Development Studies, New Uzbekistan University, Tashkent, Uzbekistan.
Ali Chenari BouketPlant Protection Research Department, East Azarbaijan Agricultural and Natural Resources Research and Education Centre, Agricultural Research, Education and Extension Organization (AREEO), Tabriz, Iran.
Jiajia ChenCollege of Landscape Architecture, Jiangsu Vocational College of Agriculture and Forestry, Zhenjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Damping-off has caused huge losses in soybean production areas of China. Based on multi-locus phylogenetic analysis and Koch's Postulates, the causal agent of soybean damping-off was identified as

Indexed as

AscomycotaGlycine maxMolecular Diagnostic TechniquesNucleic Acid Amplification TechniquesPlant DiseasesChinaDNA, FungalPhylogenyRapid Diagnostic TestsSensitivity and SpecificityDNA, FungalGlobisporangium intermediumloop-mediated isothermal amplification detectionon-site disease diagnosisrapid detectionsoybean damping-off

Identifiers

PMID41625155
PMCPMC12855517

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.