Evidence map›Paper›PMID 39901216›Full record

ReviewLaboratory animal research2025

Animal models of hemorrhage, parameters, and development of hemostatic methods.

Gholamhossien Darya, Hamid Mohammadi, Zeinab Dehghan, Alireza Nakhaei, Amin Derakhshanfar

Abstract readReview
In one paragraph

Review in Laboratory animal research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Human and animal models for studying hemorrhagic shock.Scandinavian journal of trauma, resuscitation and emergency medicine · 2025
    Article
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.

Gholamhossien DaryaDepartment of Comparative Biomedical Sciences, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran.
Hamid MohammadiDepartment of Pediatric, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Zeinab DehghanDepartment of Comparative Biomedical Sciences, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran.
Alireza NakhaeiDepartment of Comparative Biomedical Sciences, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran.
Amin DerakhshanfarDepartment of Comparative Biomedical Sciences, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran. derakhshanfaramin@gmail.com.ORCID http://orcid.org/0009-0005-0259-7183

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hemorrhage is a prevalent side effect of various injuries and can be life-threatening in certain instances. It is categorized into compressible and non-compressible types, each necessitating distinct modeling, laboratory assessments, and hemostatic approaches. This study utilized the keywords Hemorrhage, Bleeding, Animal Modeling, and Hemostat in reputable databases. The findings indicate that femoral artery hemorrhage and hepatic parenchymal hemorrhage are the predominant modeling techniques for compressible and non-compressible bleeding, respectively. Furthermore, it is noted that animal models of compressible hemorrhages are primarily situated in superficial body areas to investigate dressing or additive hemostats, while non-compressible hemorrhage models, typically located in visceral organs, are employed to examine adhesive or surgical instrument-based hemostats.

Indexed as

Animal modelingBleedingHemorrhageHemostat

Identifiers

PMID39901216
PMCPMC11789289

What OpenQuestion holds

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LicenceCC BY
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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.