Evidence map›Paper›PMID 41067465›Full record

Observational studyThe Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation2026

Timing of quality of life and lung function changes during the first year following lung transplantation: A multicenter prospective cohort study.

Wayne M Tsuang, Megan L Neely, Lianne G Singer, John A Belperio, Marie Budev, Courtney W Frankel, Jerry Kirchner, Scott M Palmer, John M Reynolds, Jamie L Todd and 2 more

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

12 authors.

Wayne M TsuangDepartment of Pulmonary and Critical Care Medicine, Cleveland Clinic, Cleveland, Ohio. Electronic address: tsuangw@ccf.org.
Megan L NeelyDuke Clinical Research Institute, Durham, North Carolina; Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina.
Lianne G SingerDepartment of Medicine, University Health Network, University of Toronto, Toronto, Ontario, Canada.
John A BelperioDepartment of Medicine, University of California Los Angeles, Los Angeles, California.
Marie BudevDepartment of Pulmonary and Critical Care Medicine, Cleveland Clinic, Cleveland, Ohio.
Courtney W FrankelDepartment of Medicine, Duke University Medical Center, Durham, North Carolina.
Jerry KirchnerDuke Clinical Research Institute, Durham, North Carolina.
Scott M PalmerDuke Clinical Research Institute, Durham, North Carolina; Department of Medicine, Duke University Medical Center, Durham, North Carolina.
John M ReynoldsDepartment of Medicine, Duke University Medical Center, Durham, North Carolina.
Jamie L ToddDuke Clinical Research Institute, Durham, North Carolina; Department of Medicine, Duke University Medical Center, Durham, North Carolina.
S Sam WeigtDepartment of Medicine, University of California Los Angeles, Los Angeles, California.
Laurie D SnyderDuke Clinical Research Institute, Durham, North Carolina; Department of Medicine, Duke University Medical Center, Durham, North Carolina.

Funding

A place-based approach to geographic disparities in lung transplantR01HL164660 · NHLBI · CLEVELAND CLINIC LERNER COM-CWRU · PI Wayne M Tsuang · 2023 to 2026
$2.7M
NHLBI NIH HHS R01 HL164660
6 · The paper itself

Abstract

backgroundLung transplantation (LT) has been shown to improve lung function and quality of life (QoL). We sought to clarify if QoL improvements coincide with improvements in spirometry assessments in the first post-transplant year.

methodsIn the multicenter observational Clinical Trials in Organ Transplantation-20 study, LT recipients had longitudinal forced expiratory volume in 1 second (FEV1) and QoL measurements, specifically the St. George's Respiratory Questionnaire (SGRQ) and 36-Item Short Form Survey (SF-36), collected at 1, 3, 6, 9, and 12 months post-LT. We assessed whether best QoL scores occurred before, simultaneously, or after best FEV1.

resultsOf 803 recipients, 702 met the inclusion criteria. The best total SGRQ score occurred before best FEV1 in 16.0% of patients, simultaneously in 28.3%, and afterward in 55.7%. Similarly, the best SF-36 physical score occurred before best FEV1 in 18.7% of patients, simultaneously in 32.7%, and afterward in 48.6%. Single LTs, age >65 years, male sex, and diagnosis other than cystic lung disease were associated with a higher likelihood of achieving best QoL after best FEV1.

conclusionsBoth spirometry and multiple physical and social QoL domains improved over the first post-LT year, but these improvements did not necessarily occur simultaneously. Nearly half of patients reached their best respiratory-specific and physical QoL scores after best FEV1; however, timing varied by recipient characteristics. As the pace of post-LT recovery is multifactorial, our findings provide insights to patients and providers regarding anticipated post-transplant changes and highlight the importance of considering both spirometry and QoL measures.

Indexed as

LungLung TransplantationQuality of LifeAdultAgedFemaleFollow-Up StudiesForced Expiratory VolumeHumansMaleMiddle AgedProspective StudiesRespiratory Function TestsSpirometrySurveys and QuestionnairesTime FactorsFEV1lung transplantquality of lifeSF-36SGRQspirometry

Identifiers

PMID41067465
PMCPMC13040443

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.