Evidence map›Paper›PMID 28377770›Full record

ArticleFrontiers in immunology2017

Antibodies against Apoptotic Cells Present in End-stage Lung Disease Patients Do Not Correlate with Clinical Outcome after Lung Transplantation.

Kevin Budding, Eduard A van de Graaf, Tineke Kardol-Hoefnagel, Erik-Jan D Oudijk, Johanna M Kwakkel-van Erp, C Erik Hack, Henny G Otten

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 42% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

7 authors at 2 institutions in 1 country.

Kevin BuddingLaboratory of Translational Immunology, University Medical Center Utrecht , Utrecht , Netherlands.
Eduard A van de GraafDepartment of Respiratory Medicine, University Medical Center Utrecht , Utrecht , Netherlands.
Tineke Kardol-HoefnagelLaboratory of Translational Immunology, University Medical Center Utrecht , Utrecht , Netherlands.
Erik-Jan D OudijkCenter of Interstitial Lung Diseases, St. Antonius Hospital , Nieuwegein , Netherlands.
Johanna M Kwakkel-van ErpDepartment of Respiratory Medicine, University Medical Center Utrecht , Utrecht , Netherlands.
C Erik HackLaboratory of Translational Immunology, University Medical Center Utrecht, Utrecht, Netherlands; Department of Rheumatology, University Medical Center Utrecht, Utrecht, Netherlands; Department of Dermatology, University Medical Center Utrecht, Utrecht, Netherlands.
Henny G OttenLaboratory of Translational Immunology, University Medical Center Utrecht , Utrecht , Netherlands.
University Medical Center Utrecht · NLSt. Antonius Ziekenhuis · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibodies against HLA and non-HLA are associated with transplantation outcome. Recently, pretransplant serum IgG antibody levels against apoptotic cells were found to correlate with kidney allograft loss. We investigated the presence of these antibodies in lung transplantation (LTx) patients and evaluated the correlation of pre-LTx serum levels of IgG antibodies against apoptotic cells with LTx outcome. These cells included donor lung endothelial cells (ECs) obtained from lung perfusion fluid collected during LTx procedure. Cells were isolated, expanded

Indexed as

antibodiesapoptotic cellschronic lung allograft dysfunctionlung endothelial cellslung transplantation

Identifiers

PMID28377770
PMCPMC5359236
OpenAlexW2598269778

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.