Evidence map›Paper›PMID 39918819›Full record

ArticleJAMA network open2025

Cumulative Excess Body Mass Index and MGUS Progression to Myeloma.

Lawrence Liu, Nikhil Grandhi, Mei Wang, Ekaterina Proskuriakova, Theodore Thomas, Martin W Schoen, Kristen M Sanfilippo, Kenneth R Carson, Alissa Visram, Celine Vachon and 4 more

Abstract read
In one paragraph

Article in JAMA network open, 2025. 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

14 authors.

Lawrence LiuResearch Service, St Louis Veterans Affairs Medical Center, St Louis, Missouri.
Nikhil GrandhiResearch Service, St Louis Veterans Affairs Medical Center, St Louis, Missouri.
Mei WangResearch Service, St Louis Veterans Affairs Medical Center, St Louis, Missouri.
Ekaterina ProskuriakovaDepartment of Medicine, Mount Sinai Hospital, Chicago, Illinois.
Theodore ThomasResearch Service, St Louis Veterans Affairs Medical Center, St Louis, Missouri.
Martin W SchoenDepartment of Medicine, St Louis University School of Medicine, St Louis, Missouri.
Kristen M SanfilippoResearch Service, St Louis Veterans Affairs Medical Center, St Louis, Missouri.
Kenneth R CarsonDivision of Hematology and Oncology, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
Alissa VisramDivision of Hematology, University of Ottawa, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
Celine VachonDivision of Epidemiology, Department of Quantitative Sciences, Mayo Clinic, Rochester, Minnesota.
Graham ColditzDivision of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St Louis, Missouri.
Murali JanakiramCity of Hope Comprehensive Cancer Center, Duarte, California.
Mengmeng JiResearch Service, St Louis Veterans Affairs Medical Center, St Louis, Missouri.
Su-Hsin ChangResearch Service, St Louis Veterans Affairs Medical Center, St Louis, Missouri.

Funding

Washington University Nutrition Obesity Research CenterP30DK056341 · NIDDK · WASHINGTON UNIVERSITY · PI Nada A. Abumrad · 1999 to 2026
$30.2M
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 CA265735NIDDK NIH HHS P30 DK056341
6 · The paper itself

Abstract

Importance: Obesity is a risk factor associated with multiple myeloma (MM) and its precursor, monoclonal gammopathy of unknown significance (MGUS). However, it is unclear how cumulative exposure to obesity affects the risk of MGUS progression to MM. Objective: To determine the association of cumulative exposure to excess body mass index (EBMI), defined as BMI (calculated as weight in kilograms divided by height in meters squared) greater than 25, with risk of MGUS progression to MM. Design, Setting, and Participants: This cohort study included patients with MGUS, including immunoglobin G, immunoglobin A, or light chain MGUS, from the nationwide US Veterans Health Administration database from October 1, 1999, to December 31, 2021. A published natural language processing-assisted model was used to confirm diagnoses of MGUS and progression to MM. Data were analyzed from February 12 to November 4, 2024. Exposures: Cumulative EBMI was calculated by area under the curve of measured BMI subtracting the reference BMI at 25 during the first 3 years after MGUS diagnosis. Main Outcomes and Measures: The main outcome was progression from MGUS to MM. Multivariable Fine-Gray time-to-competing-event analyses, with death as the competing event, were used to determine associations. Results: The cohort included 22 429 patients with MGUS (median [IQR] age, 70.5 [63.5-77.9] years; 21 613 [96.4%] male), with 8329 Black patients (37.1%) and 14 100 White patients (62.9%). There were 4862 patients (21.7%) with reference range BMI (18.5 to <25), 7619 patients (34.0%) with BMI 25 to less than 30, and 8513 patients (38.0%) with BMI 30 or greater at the time of MGUS diagnosis. Compared with reference range BMI at MGUS diagnosis, patients with BMI 25 to less than 30 (adjusted hazard ratio [aHR], 1.17; 95% CI, 1.03-1.34) or 30 or greater (aHR, 1.27; 95% CI, 1.09-1.47) at MGUS diagnosis had higher risk of progression to MM. In patients with reference range BMI at MGUS diagnosis, each 1-unit increase of EBMI per year was associated with a 21% increase in progression risk (aHR, 1.21; 95% CI, 1.04-1.40). However, for patients with BMI 25 or greater at MGUS diagnosis, the incremental risk associated with cumulative EBMI exposure was not statistically significant. Conclusions and Relevance: This cohort study found that, for patients with BMI 18.5 to less than 25 at the time of MGUS diagnosis, cumulative exposure to BMI 25 or greater was associated with an increased risk of progression. These findings suggest that for these patients, maintaining a healthy and stable weight following MGUS diagnosis may prevent progression to MM.

Indexed as

Body Mass IndexMonoclonal Gammopathy of Undetermined SignificanceMultiple MyelomaObesityAgedCohort StudiesDisease ProgressionFemaleHumansMaleMiddle AgedRisk FactorsUnited States

Identifiers

PMID39918819
PMCPMC11806393

What Socratic holds

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LicenceCC BY
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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.