Evidence map›Paper›PMID 40144718›Full record

ArticleJHLT open2025

Single lung transplantation for pulmonary fibrosis: Does side matter?

Frank Langer, Ina Starniske, Bettina Weingard, Parviz Aliyev, Migdat Mustafi, Robert Bals, Heinrike Wilkens

Abstract read
In one paragraph

Article in JHLT open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Frank LangerDepartment of Thoracic Surgery, Saarland University Medical Center, Homburg, Germany.
Ina StarniskeDepartment of Thoracic Surgery, Saarland University Medical Center, Homburg, Germany.
Bettina WeingardDepartment of Internal Medicine V, Pneumology and Intensive Care Medicine, Saarland University Medical Center, Homburg, Germany.
Parviz AliyevDepartment of Thoracic Surgery, Saarland University Medical Center, Homburg, Germany.
Migdat MustafiDepartment of Thoracic Surgery, Saarland University Medical Center, Homburg, Germany.
Robert BalsDepartment of Internal Medicine V, Pneumology and Intensive Care Medicine, Saarland University Medical Center, Homburg, Germany.
Heinrike WilkensDepartment of Internal Medicine V, Pneumology and Intensive Care Medicine, Saarland University Medical Center, Homburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The implementation of the Lung Allocation Score in the Eurotransplant international collaborative framework decreased waiting list mortality, but organ shortage remains a significant problem. Single lung transplantation (sLTx)-whenever possible-may decrease waiting list mortality. We have consistently employed sLTx for recipients with pulmonary fibrosis. In the current investigation, we sought to analyze if this strategy can lead to an acceptable long-term outcome and if the side of sLTx has an impact on the outcome. Methods: Between 1995 and 2024, we performed 138 sLTx for patients with pulmonary fibrosis (54 ± 9 years, 88 male). Data and outcomes were analyzed retrospectively comparing recipients receiving left sLTX ( Results: Survival was 83%, 59%, and 29% at 1, 5, and 10 years for the total patient cohort. Survival was similar for left and right sLTx (83 vs 81%, 58 vs 64%, and 29 vs 28% at 1, 5, and 10 years, Conclusions: Performing sLTx for pulmonary fibrosis patients can be an effective strategy to optimize donor utilization and improve outcomes-irrespective of graft side.

Indexed as

donor lung sizinginterstitial lung diseaselung transplantationpulmonary fibrosissingle lung transplantation

Identifiers

PMID40144718
PMCPMC11935513

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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.