Evidence map›Paper›PMID 37506156›Full record

ReviewImmunity, inflammation and disease2023

Insight on immune cells in rejection and infection postlung transplant.

Mingfeng Liao, Chaoxi Wang, Mingxia Zhang, Kun Qiao

Open access · goldAbstract readReview
In one paragraph

Review in Immunity, inflammation and disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 22% of its field
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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Targeted cell deposition for lung re-endothelialization.Biomechanics and modeling in mechanobiology · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. 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

4 authors at 1 institution in 1 country.

Mingfeng LiaoGuangdong Key Lab for Diagnosis & Treatment of Emerging Infectious Diseases, Shenzhen Third People's Hospital, Shenzhen, Guangdong Province, People's Republic of China.
Chaoxi WangDepartment of Thoracic Surgery, Shenzhen Third People's Hospital, Shenzhen, Guangdong Province, People's Republic of China.
Mingxia ZhangGuangdong Key Lab for Diagnosis & Treatment of Emerging Infectious Diseases, Shenzhen Third People's Hospital, Shenzhen, Guangdong Province, People's Republic of China.
Kun QiaoDepartment of Thoracic Surgery, Shenzhen Third People's Hospital, Shenzhen, Guangdong Province, People's Republic of China.ORCID 0000-0002-5055-7603
Shenzhen Third People’s Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of this study is to provide a concise overview of the role of immune cells in rejection and infection after lung transplantation.

methodsBased on previous clinical and basic studies, the role of various types of immune cells in the development of rejection and infection after lung transplantation is summarized.

resultsImmune cell functional status is strongly associated with common complications after lung transplantation, such as primary graft dysfunction, infection and occlusive bronchitis syndrome. Targeted balancing of immune cell tolerance and rejection is an important tool for successful lung transplantation.

conclusionA comprehensive understanding of immune cell function and the mechanisms that balance immune tolerance and immune rejection may be a crucial factor in improving survival after lung transplantation.

Indexed as

Bronchiolitis ObliteransLung TransplantationGraft RejectionHumansimmune cellslung transplantationobliterative bronchiolitisrejectiontolerance

Identifiers

PMID37506156
PMCPMC10336664
OpenAlexW4384035799

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.