Evidence map›Paper›PMID 42388917›Full record

ArticleCureus2026

Population-Level Survival Trends in Hematologic Malignancies: A Surveillance, Epidemiology, and End Results (SEER) Analysis of 494,244 Patients From 2000 to 2020.

Kevin Woodson, Julio Alvarenga

Abstract read
In one paragraph

Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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

2 authors.

Kevin WoodsonInternal Medicine, Independent Research, Norman, USA.
Julio AlvarengaHematology and Oncology, City of Hope, Duarte, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Population-level survival gains from transformative advances in hematologic malignancy treatment may not be equitably distributed. We examined over two decades of survival trends for acute myeloid leukemia (AML), acute lymphoblastic leukemia (ALL), non-Hodgkin lymphoma (NHL), and multiple myeloma using data from the National Cancer Institute (NCI) Surveillance, Epidemiology, and End Results (SEER) 17 Registries (2000-2020). Kaplan-Meier analysis estimated overall survival (OS) for 423,982 patients aged ≥15 years, stratified by diagnosis year, race/ethnicity, age, sex, and stage; observed OS reflects all-cause mortality. Multivariate Cox proportional hazards regression was performed on 494,244 patients to identify independent correlates of all-cause mortality. Five-year OS improved substantially from 2000 to 2017: myeloma (29.0%→53.7%, +85% relative improvement), ALL (30.7%→53.0%, +73%), AML (15.2%→27.9%, +84%), and NHL (54.5%→65.6%, +20%). Age ≥70 years was the strongest correlate of mortality (hazard ratio (HR): 7.20; 95% CI: 7.01-7.39 vs. <40 years). Non-Hispanic Black and Hispanic patients had significantly higher mortality than non-Hispanic White patients (HR: 1.22 and 1.11, respectively; both: p < 0.001). Each successive diagnosis period was independently associated with lower mortality (HR: 0.72 for 2015-2020 vs. 2000-2004). Survival has improved substantially but unequally across all four malignancies. Age and race/ethnicity remain independent correlates of mortality after full adjustment, warranting targeted interventions.

Indexed as

health disparitieshematologic malignanciesleukemialymphomamultiple myelomapopulation-based studyseersurvival outcomes

Identifiers

PMID42388917
PMCPMC13322455

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.