Evidence map›Paper›PMID 34959510›Full record

ArticlePathogens (Basel, Switzerland)2021

Pranami D Abeywickrama, Wei Zhang, Xinghong Li, Ruvishika S Jayawardena, Kevin D Hyde, Jiye Yan

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Pathogens (Basel, Switzerland), 2021. 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
0.8field-weighted citation impact, top 33% 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, 8 citations in OpenAlex.

  1. Emerging Collar Rot of Young Table Grapevines Associated withInternational journal of molecular sciences · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Review
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 2 countries.

Pranami D AbeywickramaBeijing Key Laboratory of Environment Friendly Management on Fruit Diseases and Pests in North China, Institute of Plant and Environment Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China.ORCID 0000-0002-7019-5515
Wei ZhangBeijing Key Laboratory of Environment Friendly Management on Fruit Diseases and Pests in North China, Institute of Plant and Environment Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China.
Xinghong LiBeijing Key Laboratory of Environment Friendly Management on Fruit Diseases and Pests in North China, Institute of Plant and Environment Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China.
Ruvishika S JayawardenaCentre of Excellence in Fungal Research, Mae Fah Luang University, Chiang Rai 57100, Thailand.ORCID 0000-0001-7702-4885
Kevin D HydeCentre of Excellence in Fungal Research, Mae Fah Luang University, Chiang Rai 57100, Thailand.
Jiye YanBeijing Key Laboratory of Environment Friendly Management on Fruit Diseases and Pests in North China, Institute of Plant and Environment Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China.
Mae Fah Luang University · TH

Funding

Beijing Talent Program China Agriculture Research System of MOF and MARA (CARS-29)
6 · The paper itself

Abstract

The black-foot disease of grapevine is one of the most destructive diseases in viticulture and it is caused by a complex of soil-borne fungi. This study aimed to identify the species associated with black-foot disease in young grapevines in vineyards of China. Fungal isolates were identified as

Indexed as

grapevine black-foot diseasemolecular phylogenynew recordpathogenicityviticulture

Identifiers

PMID34959510
PMCPMC8708891
OpenAlexW3216371665

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.