Evidence map›Paper›PMID 41684889›Full record

ArticlePhytoKeys2026

Knowledge base and online identification key of native Asian thorny bamboos within

Khac Dieu Nguyen, My Hanh Diep, Marc Pignal, Régine Vignes Lebbe

Abstract read
In one paragraph

Article in PhytoKeys, 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

4 authors.

Khac Dieu NguyenViet Nam National University, Ho Chi Minh City, 700000, Vietnam Phu An Bamboo Village, University of Science Ho Chi Minh City Vietnam.
My Hanh DiepViet Nam National University, Ho Chi Minh City, 700000, Vietnam Phu An Bamboo Village, University of Science Ho Chi Minh City Vietnam.ORCID https://orcid.org/0009-0001-0870-9677
Marc PignalInstitut de Systématique, Evolution, Biodiversité (ISYEB), Muséum national d'Histoire naturelle, CNRS, Sorbonne Université, EPHE, Université des Antilles, 75005 Paris, France Université des Antilles Paris France.ORCID https://orcid.org/0000-0002-6772-9299
Régine Vignes LebbeInstitut de Systématique, Evolution, Biodiversité (ISYEB), Muséum national d'Histoire naturelle, CNRS, Sorbonne Université, EPHE, Université des Antilles, 75005 Paris, France Université des Antilles Paris France.ORCID https://orcid.org/0000-0002-6912-6248

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study presents a checklist of 13 species of thorny bamboos native to Asia and documents them to contribute to a broader understanding of their morphology. To support this list and facilitate species recognition, a morphological database was compiled from a wide range of published sources and paired with an interactive identification key. This key incorporates diagnostic illustrations, descriptive characters, and precise definitions, thereby enabling more accurate identification. In addition to morphological traits, the database includes general notes, taxonomic synonymy, and bibliographic references for each species. Initial testing was conducted with specimens housed at the MNHN Herbarium in Paris, representing a first step toward validation. The current version provides a useful reference for both field and herbarium studies, and the framework has been designed for continuous updating as new data become available. Detailed results of the identification key are available at https://thornybamboo_asia.identificationkey.org.

Indexed as

AsiaBambusaonline identification keyPoaceaethorny bamboosXper3

Identifiers

PMID41684889
PMCPMC12892128

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.