Evidence map›Paper›PMID 39959233›Full record

ArticleAmerican journal of translational research2025

A new blood draw method in mice.

Chengji Wang, Hainan Yang, Hui Ye, Lei Wen, Fengtao Qian, Ming Lei, Xiang Miao

Abstract read
In one paragraph

Article in American journal of translational research, 2025. 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

7 authors.

Chengji WangShanghai Laboratory Animal Research Center No. 3577 Jinke Road, Pudong New Area, Shanghai 201203, China.
Hainan YangDepartment of Critical Care Medicine, Seventh People's Hospital of Shanghai University of Traditional Chinese Medicine No. 358 Datong Road, Pudong New District, Shanghai 200137, China.
Hui YeDepartment of Critical Care Medicine, Seventh People's Hospital of Shanghai University of Traditional Chinese Medicine No. 358 Datong Road, Pudong New District, Shanghai 200137, China.
Lei WenDepartment of Radiation Oncology, Zhujiang Hospital, Southern Medical University No. 253 Gongye Dadao, Guangzhou 510280, Guangdong, China.
Fengtao QianShanghai Insititute of Nutrition and Health, Chinese Academy of Sciences No. 320 Yueyang Road, Shanghai 200030, China.
Ming LeiDepartment of Critical Care Medicine, Seventh People's Hospital of Shanghai University of Traditional Chinese Medicine No. 358 Datong Road, Pudong New District, Shanghai 200137, China.
Xiang MiaoCell Analysis Subplatform, Shanghai Insititute of Nutrition and Health, Chinese Academy of Sciences No. 320 Yueyang Road, Shanghai 200030, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn vivo experiments using mice play a crucial role in advancing biological and translational research due to the similarities between their biological pathways and those of humans. In this study, we utilized silicone vascular perfusion to map the venous distribution in the lower lips of mice and explored the potential for a new blood collection site in mice.

methodsSilicone perfusion was performed in this study, revealing the venous distribution in the lower lip of mice. Additionally, we identified and refined the venous bridge as an optimal site for blood collection.

resultsThis research identified the distribution of veins in the lower lip of mice and discovered a useful, repeatable, and minimally invasive method for blood sampling in small animals.

conclusionsThis unique venous bridge represents a novel and ideal site for blood collection.

Indexed as

blood collectionDistribution of veins in the lower lipnew method

Identifiers

PMID39959233
PMCPMC11826212

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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.