Evidence map›Paper›PMID 41652897›Full record

ArticleJournal of the National Cancer Institute2026

Overestimation of multiple myeloma survival from cancer registry data.

John H Huber, Mei Wang, Rong Wang, Martin W Schoen, Graham A Colditz, Shi-Yi Wang, Su-Hsin Chang

Abstract read
In one paragraph

Article in Journal of the National Cancer Institute, 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

7 authors.

John H HuberDivision of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, MO, USA.
Mei WangDivision of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, MO, USA.
Rong WangDepartment of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, USA.
Martin W SchoenResearch Service, St. Louis Veterans Affairs Medical Center, St. Louis, MO, USA.
Graham A ColditzDivision of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, MO, USA.
Shi-Yi WangDepartment of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, USA.
Su-Hsin ChangDivision of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, MO, USA.

Funding

Comparative modeling of multiple myeloma across myeloma control continuuum: prevention, treatment, and disparity reductionU01CA265735 · NCI · WASHINGTON UNIVERSITY · PI CHANG, SU-HSIN, WANG, SHIYI · 2021 to 2025
$3.2M
Addressing racial disparities in monoclonal gammopathy of undetermined significance and progression to multiple myeloma from a prevention perspectiveR01CA253475 · NCI · WASHINGTON UNIVERSITY · PI CHANG, SU-HSIN · 2020 to 2022
$1.1M
NCI NIH HHS R01 CA253475NCI NIH HHS U01 CA265735
6 · The paper itself

Abstract

Surveillance, Epidemiology, and End Results (SEER) multiple myeloma (MM) survival statistics (https://seer.cancer.gov/statfacts/html/mulmy.html) that have been used to guide MM management and control have been systematically overestimated due to the inclusion of smoldering multiple myeloma (SMM), a premalignant condition of MM. Using the latest SEER release, we estimated the extent of such overestimation in the survival statistics. In 2016, 77.9% out of 5,495 patients reported as overall MM were symptomatic MM and 10.9% were SMM. Median survival was 65.8 months for overall MM versus 56.8 months for symptomatic MM (p < .001). Inclusion of SMM overestimated MM survival by 9 months. Five-year relative survival estimates from 2015-2021 were 61.6% for overall MM, 57.9% for symptomatic MM, and 88.3% for SMM, versus SEER's reported 62.4%. Survival statistics for symptomatic MM and SMM should be reported separately to guide MM management and prevention at the population level.

Identifiers

PMID41652897
PMCPMC12967285

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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.