Evidence map›Paper›PMID 28770204›Full record

ArticleFrontiers in medicine2017

Development of a Multivariate Prediction Model for Early-Onset Bronchiolitis Obliterans Syndrome and Restrictive Allograft Syndrome in Lung Transplantation.

Angela Koutsokera, Pierre J Royer, Jean P Antonietti, Andreas Fritz, Christian Benden, John D Aubert, Adrien Tissot, Karine Botturi, Antoine Roux, Martine L Reynaud-Gaubert and 16 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
6.0field-weighted citation impact, top 3% 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

25 citing papers in PubMed, 63 citations in OpenAlex.

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  14. The potential of ex vivo lung perfusion on improving organ quality and ameliorating ischemia reperfusion injury.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2021
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  17. Observational
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  20. Autoantibodies in lung transplantation.Transplant international : official journal of the European Society for Organ Transplantation · 2020
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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

26 authors at 14 institutions in 5 countries.

Angela KoutsokeraDivision of Pulmonary Medicine, Centre Hospitalier Universitaire Vaudois (CHUV), University of Lausanne, Lausanne, Switzerland.
Pierre J RoyerInstitut du thorax, INSERM UMR 1087/CNRS UMR 6291, CHU de Nantes, Université de Nantes, Nantes, France.
Jean P AntoniettiDivision of Pulmonary Medicine, Centre Hospitalier Universitaire Vaudois (CHUV), University of Lausanne, Lausanne, Switzerland.
Andreas FritzBiomax Informatics AG, Planegg, Germany.
Christian BendenDivision of Pulmonary Medicine, University Hospital Zurich, Zurich, Switzerland.
John D AubertDivision of Pulmonary Medicine, Centre Hospitalier Universitaire Vaudois (CHUV), University of Lausanne, Lausanne, Switzerland.
Adrien TissotInstitut du thorax, INSERM UMR 1087/CNRS UMR 6291, CHU de Nantes, Université de Nantes, Nantes, France.
Karine BotturiInstitut du thorax, INSERM UMR 1087/CNRS UMR 6291, CHU de Nantes, Université de Nantes, Nantes, France.
Antoine RouxPneumology, Adult CF Center and Lung transplantation Department, Foch Hospital, Université Versailles Saint-Quentin-en-Yvelines, UPRES EA220, Suresnes, France.
Martine L Reynaud-GaubertPulmonary Medicine, CF Center and Lung Transplantation Department, Centre Hospitalier Universitaire Nord, CNRS UMR 6236 Aix-Marseille Université, Marseille, France.
Romain KesslerLung Transplant Center, Hôpitaux universitaires de Strasbourg, Strasbourg, France.
Claire DromerService des Maladies respiratoires, Hôpital Haut Lévèque, Pessac, France.
Sacha MussotService de Chirurgie Thoracique, Vasculaire et Transplantation Cardiopulmonaire, Hôpital Marie Lannelongue, Le Plessis Robinson, France.
Hervé MalService de Pneumologie et Transplantation pulmonaire, Hôpital Bichat, Université Denis Diderot, INSERM UMR1152, Paris, France.
Jean-François MornexUniversité de Lyon, INRA UMR 754, Hospices civils de Lyon, Lyon, France.
Romain GuillemainAssistance Publique Hôpitaux de Paris, Paris, France.
Christiane KnoopDepartment of Chest Medicine, Erasme University Hospital, Brussels, Belgium.
Marcel DahanCHU Larrey, Toulouse, France.
Paola M SoccalDivision of Pulmonary Medicine, Geneva University Hospitals, Geneva, Switzerland.
Johanna ClaustreClinique Universitaire de Pneumologie, Pôle Thorax et Vaisseaux, CHU Grenoble, INSERM 1055, Université Grenoble Alpes, Grenoble, France.
Edouard SageThoracic Surgery Department, Foch Hospital, Université Versailles Saint-Quentin-en-Yvelines, UPRES EA220, Suresnes, France.
Carine GomezPulmonary Medicine, CF Center and Lung Transplantation Department, Centre Hospitalier Universitaire Nord, CNRS UMR 6236 Aix-Marseille Université, Marseille, France.
Antoine MagnanInstitut du thorax, INSERM UMR 1087/CNRS UMR 6291, CHU de Nantes, Université de Nantes, Nantes, France.
Christophe PisonClinique Universitaire de Pneumologie, Pôle Thorax et Vaisseaux, CHU Grenoble, INSERM 1055, Université Grenoble Alpes, Grenoble, France.
Laurent P NicodDivision of Pulmonary Medicine, Centre Hospitalier Universitaire Vaudois (CHUV), University of Lausanne, Lausanne, Switzerland.
SysCLAD Consortium
Boehringer Ingelheim (Austria) · ATHôpital Foch · FRInstitut du Thorax · FRPhysiopathologie et Epidémiologie des Maladies Respiratoires · FRAssistance Publique – Hôpitaux de Paris · FRBiomax Informatics (Germany) · DECentre National de la Recherche Scientifique · FRErasmus Hospital · BEHôpital Larrey · FRLaboratory of Fundamental and Applied Bioenergetics · FRPathophysiology, Diagnosis and Treatment of Bone Diseases · FRRegenerative NanoMedicine · FRUniversity Hospital of Geneva · CHUniversity Hospital of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic lung allograft dysfunction and its main phenotypes, bronchiolitis obliterans syndrome (BOS) and restrictive allograft syndrome (RAS), are major causes of mortality after lung transplantation (LT). RAS and early-onset BOS, developing within 3 years after LT, are associated with particularly inferior clinical outcomes. Prediction models for early-onset BOS and RAS have not been previously described.

methodsLT recipients of the French and Swiss transplant cohorts were eligible for inclusion in the SysCLAD cohort if they were alive with at least 2 years of follow-up but less than 3 years, or if they died or were retransplanted at any time less than 3 years. These patients were assessed for early-onset BOS, RAS, or stable allograft function by an adjudication committee. Baseline characteristics, data on surgery, immunosuppression, and year-1 follow-up were collected. Prediction models for BOS and RAS were developed using multivariate logistic regression and multivariate multinomial analysis.

resultsAmong patients fulfilling the eligibility criteria, we identified 149 stable, 51 BOS, and 30 RAS subjects. The best prediction model for early-onset BOS and RAS included the underlying diagnosis, induction treatment, immunosuppression, and year-1 class II donor-specific antibodies (DSAs). Within this model, class II DSAs were associated with BOS and RAS, whereas pre-LT diagnoses of interstitial lung disease and chronic obstructive pulmonary disease were associated with RAS.

conclusionAlthough these findings need further validation, results indicate that specific baseline and year-1 parameters may serve as predictors of BOS or RAS by 3 years post-LT. Their identification may allow intervention or guide risk stratification, aiming for an individualized patient management approach.

Indexed as

bronchiolitis obliterans syndromechronic lung allograft dysfunctionchronic rejectionpredictive modelrestrictive allograft syndrome

Identifiers

PMID28770204
PMCPMC5511826
OpenAlexW2735049310

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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.