Evidence map›Paper›PMID 42047296›Full record

ArticleOncotarget2026

Targeted therapeutics and U.S. population-level mortality trends in multiple myeloma: A SEER-based analysis from 1975 to 2023.

Navkirat Kahlon, Nahush Bansal, Sujatha Baddam, Jaisingh Rajput, Zaheer Qureshi

Abstract read
In one paragraph

Article in Oncotarget, 2026. 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
–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

1 citing paper in PubMed.

  1. 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

5 authors.

Navkirat Kahlon
Nahush Bansal
Sujatha Baddam
Jaisingh Rajput
Zaheer Qureshi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Copyright: © 2026 Kahlon et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Multiple myeloma (MM), the second most common hematologic malignancy in the United States, has undergone transformative therapeutic innovation over the past five decades. Using SEER data from 1975 to 2023, we conducted a retrospective cross-sectional analysis to evaluate MM-specific mortality trends in relation to major treatment milestones. Age-adjusted mortality rates and Annual Percent Change (APC) were estimated using Joinpoint regression. Mortality increased from 1975 to 1994 (APC: 1.43%; P < .01), declined modestly from 1994 to 2002 (–0.70%; P = .02), dropped steeply from 2002 to 2009 (–1.85%; P < .01), plateaued between 2009 and 2014 (0.52%; P = .10), resumed decline from 2014 to 2021 (–1.73%; P < .01), and sharply decreased from 2021 to 2023 (–5.64%; P < .01). These inflection points align with the introduction of stem cell transplantation, proteasome inhibitors, immunomodulatory drugs, and next-generation immunotherapies including CAR T-cell therapy and bispecific antibodies. While these advances have improved survival, they also introduced chronic treatment burdens and rising costs. Our findings highlight the real-world impact of targeted therapies on population-level outcomes and underscore the urgent need for care models that ensure accessibility, affordability, and long-term sustainability in the era of precision oncology.

Indexed as

Molecular Targeted TherapyMultiple MyelomaCross-Sectional StudiesFemaleHumansMaleMortalityRetrospective StudiesSEER ProgramUnited Statesepidemiologic trendsmortality reductionmultiple myelomaSEER databasetherapeutic advancements

Identifiers

PMID42047296
PMCPMC13249087

What Socratic 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 Socratic graph.