Evidence map›Paper›PMID 38626904›Full record

ArticleThe Thoracic and cardiovascular surgeon2025

Computed Tomography-Based Body Composition is Related to Perioperative Morbidity in Older Lung Transplant Recipients.

Daria Kifjak, Helmut Prosch, Stefan Schwarz, Peter Jaksch, Michael Weber, Konrad Hoetzenecker, Thomas Schweiger

Open access · hybridAbstract read
In one paragraph

Article in The Thoracic and cardiovascular surgeon, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. 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 2 countries.

Daria KifjakDepartment of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Wien, Wien, Austria.
Helmut ProschDepartment of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Wien, Wien, Austria.
Stefan SchwarzDepartment of Thoracic Surgery, Medical University of Vienna, Wien, Wien, Austria.
Peter JakschDepartment of Thoracic Surgery, Medical University of Vienna, Wien, Wien, Austria.
Michael WeberDepartment of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Wien, Wien, Austria.
Konrad HoetzeneckerDepartment of Thoracic Surgery, Medical University of Vienna, Wien, Wien, Austria.
Thomas SchweigerDepartment of Thoracic Surgery, Medical University of Vienna, Wien, Wien, Austria.
Medical University of Vienna · ATUMass Memorial Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn older patients, a limited physical reserve is considered a contraindication for lung transplantation (LTx). Herein, we aimed to establish a computed tomography (CT)-based quantification of physical reserve in older patients scheduled for transplantation.

methodsThis retrospective study included patients older than 60 years who received LTx. Semiautomatic measurements of the mediastinal fat area and the dorsal muscle group area in pretransplantation CT scans were performed, and normalized data were correlated with clinical parameters.

resultsPatients (

conclusionBody composition parameters determined in pretransplant chest CT scans in older LTx candidates might aid in identifying high-risk patients with a worse perioperative outcome after LTx.

Indexed as

AdiposityBody CompositionLung TransplantationPostoperative ComplicationsTomography, X-Ray ComputedAgedAge FactorsFemaleHumansLength of StayMaleMiddle AgedPredictive Value of TestsRetrospective StudiesRisk AssessmentRisk Factors

Identifiers

PMID38626904
PMCPMC11961225
OpenAlexW4394840280

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.