Evidence map›Paper›PMID 33661547›Full record

ArticleAmerican journal of hematology2021

Relapsed/Refractory International Prognostic Index (R/R-IPI): An international prognostic calculator for relapsed/refractory diffuse large B-cell lymphoma.

Matthew J Maurer, Lasse H Jakobsen, Raphael Mwangi, Norbert Schmitz, Umar Farooq, Cristopher R Flowers, Peter de Nully Brown, Carrie A Thompson, Henrik Frederiksen, David Cunningham and 13 more

Abstract readValidation Study
In one paragraph

Article in American journal of hematology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Clinical scoring systems, molecular subtypes and baseline [Cancer imaging : the official publication of the International Cancer Imaging Society · 2024
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Observational
  12. Article
  13. Sequencing therapy in relapsed DLBCL.Hematology. American Society of Hematology. Education Program · 2022
    Article
  14. Article
  15. A Novel Prognostic Score Including the CD4/CD8 for AIDS-Related Lymphoma.Frontiers in cellular and infection microbiology · 2022
    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

23 authors.

Matthew J MaurerDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0002-1867-0526
Lasse H JakobsenAalborg University Hospital, Aalborg, Denmark.
Raphael MwangiDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota.
Norbert SchmitzDepartment of Medicine A, University Hospital Münster, Münster, Germany.
Umar FarooqDivision of Hematology, Oncology, and Blood & Marrow Transplantation, University of Iowa, Iowa City, Iowa.
Cristopher R FlowersDepartment of Lymphoma/Myeloma, MD Anderson Cancer Center, Houston, Texas.
Peter de Nully BrownDepartment of Hematology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.
Carrie A ThompsonDivision of Hematology, Mayo Clinic, Rochester, Minnosata.
Henrik FrederiksenDepartment of Hematology, Odense University Hospital, Odense, Denmark.
David CunninghamDepartment of Medicine, Royal Marsden Hospital, Surrey, UK.
Judit JørgensenDepartment of Hematology, Aarhus University Hospital, Aarhus, Denmark.
Viola PoeschelSaarland University Medical School, Homburg, Germany.
Grzegorz NowakowskiDivision of Hematology, Mayo Clinic, Rochester, Minnosata.
John F SeymourPeter MacCallum Cancer Centre, Melbourne, Australia.
Francesco MerliHematology Unit, Azienda Unità Sanitaria Locale/IRCCS Reggio Emilia, Reggio Emilia, Italy.
Corinne HaiounClinical Hematology, Henri Mondor University Hospital, UPEC, Creteil, France.
Hervé GhesquieresDepartment of Hematology, Centre Hospitalier Lyon Sud, Hospices Civils de Lyon, Pierre Benite, France.
Marita ZiepertInstitute for Medical Informatics, Statistics and Epidemiology, University Leipzig, IMISE, Leipzig, Germany.
Hervé TillyCentre Henri Becquerel, University of Rouen, Rouen, France.
Gilles SallesLymphoma Service, Memorial Sloan Kettering Cancer Center, New York, New York.
Qian ShiDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota.
Tarec C El-GalalyAalborg University Hospital, Aalborg, Denmark.
Thomas M HabermannDivision of Hematology, Mayo Clinic, Rochester, Minnosata.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
The Role of Monocytes in non-Hodgkin LymphomaP50CA097274 · NCI · UNIVERSITY OF IOWA · PI WEINER, GEORGE J. · 2002 to 2021
$45.7M
The Lymphoma Epidemiology of Outcomes (LEO) Cohort Study (Supplement)U01CA195568 · NCI · MAYO CLINIC ROCHESTER · PI CERHAN, JAMES R, FLOWERS, CHRISTOPHER R · 2015 to 2025
$22.1M
NCI NIH HHS Lymphoma Epidemiology of Outcomes U01CA195568NCI NIH HHS P30 CA008748NCI NIH HHS P50 CA097274NCI NIH HHS U01 CA195568NCI NIH HHS University of Iowa/Mayo Clinic SPORE P50CA097274
6 · The paper itself

Abstract

Disease progression after frontline therapy for Diffuse large B-cell lymphoma (DLBCL) is a clinically significant event. Patients who experience early progression or have refractory disease have especially poor outcomes. Simple, clinically applicable prognostic tools are needed for selecting patients for consideration for novel therapies and prognostication in the relapsed/refractory (R/R) setting. Model building was performed in patients from the Surrogate endpoints in aggressive lymphoma (SEAL) consortium with disease progression after frontline immunochemotherapy. The primary endpoint was overall survival (OS) measured from date of progression. Validation was performed in the University of Iowa/Mayo Clinic SPORE Molecular Epidemiology Resource (MER) and Danish National Lymphoma Register (LYFO) cohorts. Model performance was assessed using time-dependent concordance indices (c-statistic) and calibration with metrics evaluated at 2 years from progression. Note, 1234 of 5112 patients treated with frontline immunochemotherapy in the SEAL consortium developed progressive disease. Time to progression on immunochemotherapy and age at progression were strongly associated with post-progression OS (both p < 0.001). A prognostic model was developed incorporating spline fit for both variables. The model had good concordance in the discovery (0.67) and validation sets (LYFO c = 0.64, MER c = 0.68) with generally good calibration. Time to progression on frontline therapy is strongly associated with post-progression OS in DLBCL. We developed and validated a simple to apply clinical prognostic tool in the R/R setting. The useful prediction of expected outcomes in R/R DLBCL and can inform treatment decisions such as considerations for CAR-T therapy as well as trial designs. The model is available in smartphone-based point of care applications.

Indexed as

Severity of Illness IndexAgedAged, 80 and overAntineoplastic Combined Chemotherapy ProtocolsCohort StudiesCombined Modality TherapyDisease ProgressionDrug Resistance, NeoplasmFemaleHumansImmunotherapyKaplan-Meier EstimateLymphoma, Large B-Cell, DiffuseMaleMiddle AgedMobile Applications

Identifiers

PMID33661547
PMCPMC8763015

What OpenQuestion holds

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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.