Evidence map›Paper›PMID 36189311›Full record

ReviewFrontiers in immunology2022

Improving the ischemia-reperfusion injury in vascularized composite allotransplantation: Clinical experience and experimental implications.

Jiqiang He, Umar Zeb Khan, Liming Qing, Panfeng Wu, Juyu Tang

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
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  9. Review
  10. 24-hourFrontiers in transplantation · 2026
    Article
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  13. Article
  14. Review
  15. Article
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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.

Jiqiang HeDepartment of Hand and Microsurgery, Xiangya Hospital of Central South University, Changsha, China.
Umar Zeb KhanDepartment of Hand and Microsurgery, Xiangya Hospital of Central South University, Changsha, China.
Liming QingDepartment of Hand and Microsurgery, Xiangya Hospital of Central South University, Changsha, China.
Panfeng WuDepartment of Hand and Microsurgery, Xiangya Hospital of Central South University, Changsha, China.
Juyu TangDepartment of Hand and Microsurgery, Xiangya Hospital of Central South University, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long-time ischemia worsening transplant outcomes in vascularized composite allotransplantation (VCA) is often neglected. Ischemia-reperfusion injury (IRI) is an inevitable event that follows reperfusion after a period of cold static storage. The pathophysiological mechanism activates local inflammation, which is a barrier to allograft long-term immune tolerance. The previous publications have not clearly described the relationship between the tissue damage and ischemia time, nor the rejection grade. In this review, we found that the rejection episodes and rejection grade are usually related to the ischemia time, both in clinical and experimental aspects. Moreover, we summarized the potential therapeutic measures to mitigate the ischemia-reperfusion injury. Compare to static preservation, machine perfusion is a promising method that can keep VCA tissue viability and extend preservation time, which is especially beneficial for the expansion of the donor pool and better MHC-matching.

Indexed as

Reperfusion InjuryVascularized Composite AllotransplantationHumansPerfusionTransplantation, HomologousTransplantation Toleranceadaptive immunityinnate immunityischemia-reperfusion injury (IRI)tissue damagetransplant rejectionvascularized composite allotransplantation (VCA)

Identifiers

PMID36189311
PMCPMC9523406

What OpenQuestion holds

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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.