Evidence map›Paper›PMID 38684043›Full record

ArticleJCO clinical cancer informatics2024

Comparison of Comorbidity Models Within a Population-Based Cohort of Older Adults With Non-Hodgkin Lymphoma.

Max J Gordon, Zhigang Duan, Hui Zhao, Loretta Nastoupil, Swaminathan Iyer, Alessandra Ferrajoli, Alexey V Danilov, Sharon H Giordano

Abstract readComparative Study
In one paragraph

Article in JCO clinical cancer informatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

8 authors.

Max J GordonDepartment of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX.ORCID 0000-0003-3940-4451
Zhigang DuanDepartment of Health Services Research, The University of Texas MD Anderson Cancer Center, Houston, TX.
Hui ZhaoDepartment of Health Services Research, The University of Texas MD Anderson Cancer Center, Houston, TX.ORCID 0000-0003-4742-1139
Loretta NastoupilDepartment of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX.ORCID 0000-0001-6071-8610
Swaminathan IyerDepartment of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX.ORCID 0000-0002-1646-813X
Alessandra FerrajoliDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX.ORCID 0000-0001-9547-4193
Alexey V DanilovDepartment of Hematology & Hematopoietic Cell Transplantation, City of Hope National Medical Center, Duarte, CA.
Sharon H GiordanoDepartment of Health Services Research, The University of Texas MD Anderson Cancer Center, Houston, TX.ORCID 0000-0002-8700-2767

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
TRAINING FOR ACADEMIC ONCOLOGY/HEMATOLOGYT32CA009666 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Michael Davies, Courtney DiNardo · 1994 to 2026
$9.8M
NCI NIH HHS HHSN261201800009CNCI NIH HHS HHSN261201800009INCI NIH HHS HHSN261201800015CNCI NIH HHS HHSN261201800015INCI NIH HHS HHSN261201800032CNCI NIH HHS HHSN261201800032INCI NIH HHS P30 CA016672NCI NIH HHS T32 CA009666
6 · The paper itself

Abstract

purposeCompare the association of individual comorbidities, comorbidity indices, and survival in older adults with non-Hodgkin lymphoma (NHL), including in specific NHL subtypes.

methodsData source was SEER-Medicare, a population-based registry of adults age 65 years and older with cancer. We included all incident cases of NHL diagnosed during 2008-2017 who met study inclusion criteria. Comorbidities were classified using the three-factor risk estimate scale (TRES), Charlson comorbidity index (CCI), and National Cancer Institute (NCI) comorbidity index categories and weights. Overall survival (OS) and lymphoma-specific survival, with death from other causes treated as a competing risk, were estimated using the Kaplan-Meier method from time of diagnosis. Multivariable Cox models were constructed, and Harrel C-statistics were used to compare comorbidity models. A two-sided

resultsA total of 40,486 patients with newly diagnosed NHL were included. Patients with aggressive NHL had higher rates of baseline comorbidity. Despite differences in baseline comorbidity between NHL subtypes, cardiovascular, pulmonary, diabetes, and renal comorbidities were frequent and consistently associated with OS in most NHL subtypes. These categories were used to construct a candidate comorbidity score, the non-Hodgkin lymphoma 5 (NHL-5). Comparing three validated comorbidity scores, TRES, CCI, NCI, and the novel NHL-5 score, we found similar associations with OS and lymphoma-specific survival, which was confirmed in sensitivity analyses by NHL subtypes.

conclusionThe optimal measure of comorbidity in NHL is unknown. Here, we demonstrate that the three-category TRES and five-category NHL-5 scores perform as well as the 14-16 category CCI and NCI scores in terms of association with OS and lymphoma-specific survival. These simple scores could be more easily used in clinical practice without prognostic loss.

Indexed as

ComorbidityLymphoma, Non-HodgkinSEER ProgramAgedAged, 80 and overCohort StudiesFemaleHumansKaplan-Meier EstimateMaleMedicarePrognosisProportional Hazards ModelsUnited States

Identifiers

PMID38684043
PMCPMC11476108

What Socratic holds

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Registered trials

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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 Socratic graph.