Evidence map›Paper›PMID 37690007›Full record

ArticleLeukemia & lymphoma2023

Utility of routine pulmonary function test after autologous hematopoietic cell transplantation in lymphoma.

Parastoo B Dahi, Sheila Kenny, Jessica Flynn, Sean M Devlin, Josel D Ruiz, Stephanie A Chinapen, Oscar B Lahoud, Matthew J Matasar, Craig H Moskowitz, Miguel-Angel Perales and 5 more

Open access · greenAbstract read
In one paragraph

Article in Leukemia & lymphoma, 2023. 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
0.3field-weighted citation impact, top 38% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  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

15 authors at 4 institutions in 1 country.

Parastoo B DahiAdult Bone Marrow Transplantation Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID 0000-0002-0794-3226
Sheila KennyAdult Bone Marrow Transplantation Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Jessica FlynnDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Sean M DevlinDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Josel D RuizAdult Bone Marrow Transplantation Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Stephanie A ChinapenAdult Bone Marrow Transplantation Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Oscar B LahoudAdult Bone Marrow Transplantation Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Matthew J MatasarDepartment of Medicine, Rutgers Cancer Institute, New Brunswick, NJ, USA.
Craig H MoskowitzHematology, University of Miami Health System, Sylvester Comprehensive Cancer Center, Miami, FL, USA.
Miguel-Angel PeralesAdult Bone Marrow Transplantation Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Gunjan ShahAdult Bone Marrow Transplantation Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Craig S SauterDepartment of Hematology and Medical Oncology, Cleveland Clinic, Cleveland, OH, USA.
Sergio A GiraltAdult Bone Marrow Transplantation Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID 0000-0003-1944-5053
Alexander I GeyerPulmonary Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Ann A JakubowskiAdult Bone Marrow Transplantation Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Memorial Sloan Kettering Cancer Center · USCleveland Clinic · USRutgers, The State University of New Jersey · USUniversity of Miami Health System · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
T LYMPHOCYTE SUBSET FUNCTION POST-TRANSPLANTATIONP01CA023766 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI PAMER, ERIC G. · 1985 to 2023
$59.0M
NCI NIH HHS P01 CA023766NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

This study aims to evaluate the predictive value of routine pulmonary function testing (PFT) at the 12-month mark post-autologous hematopoietic cell transplant (AHCT) in identifying clinically significant lung disease in lymphoma survivors. In 247 patients, 173 (70%) received BEAM (carmustine, etoposide, cytarabine, melphalan), and 49 (20%) received TBC (thiotepa, busulfan, cyclophosphamide) conditioning regimens. Abnormal baseline PFT was noted in 149 patients (60%). Thirty-four patients had a significant decline (reduction of >/= 20% in DLCO or FEV1 or FVC) in post-AHCT PFT, with the highest incidence in the CNS lymphoma group (39%). The incidence of clinically significant lung disease post-transplant was low at 2% and there was no association between abnormal pre- and 1-year post-transplant PFTs with the development of clinical lung disease. While this study illustrates the impact of treatment regimens on PFT changes, it did not demonstrate a predictive value of scheduled PFTs in identifying clinically significant post-AHCT lung disease.

Indexed as

Hematopoietic Stem Cell TransplantationLung DiseasesLymphomaLymphoma, Non-HodgkinAntineoplastic Combined Chemotherapy ProtocolsCarmustineEtoposideHumansMelphalanTransplantation, AutologousTransplantation ConditioningCarmustineEtoposideMelphalanautologouslymphomapFTPulmonary function testtransplant

Identifiers

PMID37690007
PMCPMC10981269
OpenAlexW4386582502

What OpenQuestion holds

Textmetadata
LicenceTDM
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.