Evidence map›Paper›PMID 41057230›Full record

ArticleHematological oncology2025

Adaptation and Performance of the Self-Report-Generated Charlson Comorbidity Index in the Lymphoma Epidemiology of Outcomes (LEO) Cohort.

James R Cerhan, Tereza Sokolova, Elliott J Cahn, Mazie Tsang, Christopher S Strouse, Michelle A T Hildebrandt, Allison C Rosenthal, Andrew L Feldman, David L Jaye, Peter Martin and 12 more

Abstract read
In one paragraph

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

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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

22 authors.

James R CerhanDivision of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA.ORCID https://orcid.org/0000-0002-7482-178X
Tereza SokolovaDivision of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA.
Elliott J CahnDivision of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA.
Mazie TsangDivision of Hematology and Medical Oncology, Department of Medicine, Mayo Clinic, Phoenix, Arizona, USA.ORCID https://orcid.org/0000-0003-1215-4210
Christopher S StrouseDivision of Hematology, Oncology, and Bone and Marrow Transplantation, Department of Internal Medicine, University of Iowa, Iowa City, Iowa, USA.ORCID https://orcid.org/0000-0003-4964-167X
Michelle A T HildebrandtDepartment of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.ORCID https://orcid.org/0000-0001-6769-6872
Allison C RosenthalDivision of Hematology and Medical Oncology, Department of Medicine, Mayo Clinic, Phoenix, Arizona, USA.ORCID https://orcid.org/0000-0002-8915-3163
Andrew L FeldmanDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA.ORCID https://orcid.org/0000-0001-5009-4808
David L JayeDepartment of Pathology and Laboratory Medicine, Emory University, Atlanta, Georgia, USA.ORCID https://orcid.org/0000-0001-7977-6909
Peter MartinDepartment of Medicine, Weill Cornell Medicine, New York, New York, USA.ORCID https://orcid.org/0000-0001-7813-1551
Jonathon B CohenDepartment of Hematology and Medical Oncology, Emory University, Atlanta, Georgia, USA.ORCID https://orcid.org/0000-0002-2723-6481
Brad S KahlDivision of Oncology, Washington University School of Medicine, St. Louis, Missouri, USA.ORCID https://orcid.org/0000-0003-0459-6609
Izidore S LossosDepartment of Medicine, Division of Hematology, Sylvester Comprehensive Cancer Center, University of Miami, Miami, Florida, USA.ORCID https://orcid.org/0000-0002-9346-9013
Jonathan W FriedbergWilmot Cancer Institute, University of Rochester, Rochester, New York, USA.ORCID https://orcid.org/0000-0002-1420-5563
Loretta J NastoupilSouthwest Oncology, CommonSpirit Mercy, Durango, Colorado, USA.ORCID https://orcid.org/0000-0001-6071-8610
Brian K LinkDivision of Hematology, Oncology, and Bone and Marrow Transplantation, Department of Internal Medicine, University of Iowa, Iowa City, Iowa, USA.ORCID https://orcid.org/0000-0001-5084-0698
Thomas M HabermannDivision of Hematology, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA.ORCID https://orcid.org/0000-0003-3532-9132
Matthew J MaurerDivision of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA.ORCID https://orcid.org/0000-0002-1867-0526
Carla CasuloWilmot Cancer Institute, University of Rochester, Rochester, New York, USA.ORCID https://orcid.org/0000-0003-4998-9932
Carrie A ThompsonDivision of Hematology, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA.ORCID https://orcid.org/0000-0002-4518-2309
Annalynn M WilliamsWilmot Cancer Institute, University of Rochester, Rochester, New York, USA.ORCID https://orcid.org/0000-0002-7042-5851
Christopher R FlowersDepartment of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.ORCID https://orcid.org/0000-0002-9524-3990

Funding

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
The Lymphoma Epidemiology of Outcomes (LEO) Cohort StudyU01CA308978 · NCI · MAYO CLINIC ROCHESTER · PI JAMES R CERHAN, CHRISTOPHER R FLOWERS · 2026 to 2026
$1.3M
NCI NIH HHS U01 CA195568NCI NIH HHS U01 CA308978
6 · The paper itself

Abstract

Newly diagnosed patients with non-Hodgkin lymphoma (NHL) often have a history of other diseases, and these comorbidities can impact patient treatment and management options, as well as overall survival (OS). We developed the Lymphoma Epidemiology of Outcomes (LEO) comorbidity index (LCI) as a sum of 10 comorbidities adapted from the Self-Report-Generated Charlson Comorbidity Index (SRG-CCI) for use in the LEO cohort, a national prospective study of newly diagnosed NHL. Of the 5502 participants with self-reported comorbidity data, 3107 (56.4%) were male and the mean age at diagnosis was 60.9 years (range, 18-99 years). The LCI ranged from 0 to 6, with 48.6% having 0, 30.2% having 1, 21.2% having 2 or more comorbidities. With a median follow-up of 62.4 months among surviving participants, 2099 patients had an event and 1219 died. Continuous LCI similarly predicted both 1-year mortality (c-statistic = 0.654) and OS (c-statistic = 0.655), while it showed a weaker but still statistically significant predictive ability for lymphoma-specific (c-statistics = 0.617) and event-free (c-statistic = 0.574) survival. Participants with 1 (HR = 1.21, 95% CI 1.05-1.39) and 2+ (HR = 1.80, 95% CI 1.56-2.08) comorbidities had inferior OS compared to those with no comorbidities after adjustment for age and sex (c-statistic = 0.654), and performance strengthened after adjustment for the International Prognostic Index (c-statistic = 0.672). LCI predicted OS most strongly in marginal zone (c-statistics = 0.748) and weakest in T-cell (c-statistic = 0.579) lymphoma. The cumulative incidence of death due to lymphoma, lymphoma treatment, and other causes all increased with increasing comorbidities, with the greatest increase observed for death due to other causes. The LCI performs comparable to other published comorbidity indices, supporting its use in the LEO cohort to better model real-world outcomes and more generally providing an approach to implementing comorbidity indices in cancer survivorship cohorts.

Indexed as

LymphomaLymphoma, Non-HodgkinSelf ReportAdolescentAdultAgedAged, 80 and overComorbidityFemaleFollow-Up StudiesHumansMaleMiddle AgedPrognosisProspective StudiesSurvival Ratecomorbidityevent‐free survivalnon‐Hodgkin lymphomaoverall survival

Identifiers

PMID41057230
PMCPMC13349591

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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.