Evidence map›Paper›PMID 42375643›Full record

ArticleMethodsX2026

Non-destructive diagnosis of ambrosia beetle attacks via detection of the associated tree pathogens.

Hayato Masuya, Akira Ishikawa, Yukako Hattori, Yukiko S Takahashi, Shota Jikumaru

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in MethodsX, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Hayato MasuyaDepartment of mushroom science & forest microbiology, Forestry & Forest Products Research Institute, 1 Matsunosato, Tsukuba, Ibaraki, 305-8687, Japan.
Akira IshikawaDepartment of mushroom science & forest microbiology, Forestry & Forest Products Research Institute, 1 Matsunosato, Tsukuba, Ibaraki, 305-8687, Japan.
Yukako HattoriDepartment of mushroom science & forest microbiology, Forestry & Forest Products Research Institute, 1 Matsunosato, Tsukuba, Ibaraki, 305-8687, Japan.
Yukiko S TakahashiDepartment of mushroom science & forest microbiology, Forestry & Forest Products Research Institute, 1 Matsunosato, Tsukuba, Ibaraki, 305-8687, Japan.
Shota JikumaruAgricultural Technology Research Center, Fruit Tree Research Division, Hiroshima Prefectural Technology Research Institute, Hiroshima, 739-2402, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ambrosia beetles have become major threats to forest ecosystems, often vectoring pathogenic fungi and causing severe tree mortality. Early infestations produce only a few frass-filled pinholes, making species identification difficult without destructive sampling, which may further attract beetles. We developed a non-destructive detection method based on the specific fungal symbionts of

Indexed as

Ambrosia fusariumDryadomycesEuwallacea interjectusJapanese oak wiltPlatypus quercivorus

Identifiers

PMID42375643
PMCPMC13312580

What OpenQuestion holds

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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.