Evidence map›Paper›PMID 39757017›Full record

ArticleZoological research2025

Enhanced risk assessment framework integrating distribution dynamics, genetically inferred populations, and morphological traits of

Qi Xiao, Xiu-Dong Shi, Lin Shi, Zhong-Yi Yao, You-Hua Chen, Wei-Zhao Yang, Zi-Yan Liao, Yin Qi

Abstract read
In one paragraph

Article in Zoological research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Qi XiaoChengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, Sichuan 610299, China.
Xiu-Dong ShiChengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, Sichuan 610299, China.
Lin ShiChengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, Sichuan 610299, China.
Zhong-Yi YaoChengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, Sichuan 610299, China.
You-Hua ChenChengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, Sichuan 610299, China.
Wei-Zhao YangChengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, Sichuan 610299, China.
Zi-Yan LiaoChengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, Sichuan 610299, China. E-mail: liaozy@cib.ac.cn.
Yin QiChengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, Sichuan 610299, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assessing the threat status of species in response to global change is critical for biodiversity monitoring and conservation efforts. However, current frameworks, even the IUCN Red List, often neglect critical factors such as genetic diversity and the impacts of climate and land-use changes, hindering effective conservation planning. To address these limitations, we developed an enhanced extinction risk assessment framework using

Indexed as

LizardsAnimal DistributionAnimalsChinaConservation of Natural ResourcesExtinction, BiologicalPopulation DynamicsRisk AssessmentConservation StatusEffective Population SizeExtinction Risk AssessmentIUCN Red ListLizardMorphological Traits

Identifiers

PMID39757017
PMCPMC11890995

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.