Evidence map›Paper›PMID 24048366›Full record

ArticleThe oncologist2013

Influence of body mass index on survival in veterans with multiple myeloma.

Tracey S Beason, Su-Hsin Chang, Kristen M Sanfilippo, Suhong Luo, Graham A Colditz, Ravi Vij, Michael H Tomasson, John F Dipersio, Keith Stockerl-Goldstein, Arun Ganti and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in The oncologist, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 13% of its field
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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.

  1. Association between Body Mass Index and Cancer Survival in a Pooled Analysis of 22 Clinical Trials.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2017
    Pooled it
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  17. Underweight as a risk factor of mortality in patients with newly diagnosed multiple myeloma.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2021
    Article
  18. Sclerostin-Neutralizing Antibody Treatment Rescues Negative Effects of Rosiglitazone on Mouse Bone Parameters.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2021
    Article
  19. Venous thromboembolism in multiple myeloma is associated with increased mortality.Research and practice in thrombosis and haemostasis · 2020
    Article
  20. Article
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

12 authors at 2 institutions in 1 country.

Tracey S BeasonDivision of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, Missouri, USA;
Su-Hsin Chang
Kristen M Sanfilippo
Suhong Luo
Graham A Colditz
Ravi Vij
Michael H Tomasson
John F Dipersio
Keith Stockerl-Goldstein
Arun Ganti
Tanya Wildes
Kenneth R Carson
Washington University in St. Louis · USSt. Louis VA Medical Center · US

Funding

Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
Worksite Policies and neighborhood Influences on Obesity and Cancer RiskU54CA155496 · NCI · WASHINGTON UNIVERSITY · PI COLDITZ, GRAHAM A. · 2011 to 2016
$9.0M
CLINICAL HEMATOLOGY RESEARCH CAREER DEVELOPMENT PROGRAM AT WASHINGTON UNIVERSITYK12HL087107 · NHLBI · WASHINGTON UNIVERSITY · PI SADLER, J EVAN · 2006 to 2016
$3.8M
WASHINGTON UNIVERSITY CER MENTORED CAREER DEVELOPMENT AWARD KM1KM1CA156708 · NCI · WASHINGTON UNIVERSITY · PI FRASER, VICTORIA J. · 2010 to 2010
$2.5M
NCATS NIH HHS UL1 TR000448NCI NIH HHS KM1CA15608NCI NIH HHS KM1 CA156708NCI NIH HHS U54 CA155496NCI NIH HHS U54CA155496NHLBI NIH HHS K12 HL087107
6 · The paper itself

Abstract

purposeWe investigated the association between body mass index (BMI) at the time of multiple myeloma (MM) diagnosis and overall survival in a cohort of patients within the Veterans Health Administration system. We also evaluated the association between weight loss in the year prior to diagnosis and survival. PATIENTS AND

methodsProspective analysis was performed on a retrospectively assembled cohort of 2,968 U.S. veterans diagnosed and treated for MM between September 1, 1999, and September 30, 2009, with follow-up information through October 22, 2011. Cox modeling controlling for patient- and disease-related prognostic variables was used to analyze the data.

resultsUnderweight patients (BMI <18.5 kg/m2) had increased mortality, whereas patients who were overweight (BMI 25-29.9 kg/m2) and obese (BMI ≥30 kg/m2) had lower mortality compared with healthy-weight patients (BMI 18.5-24.9 kg/m2). Weight loss ≥10% of baseline in the year before diagnosis was also associated with increased mortality and made the association between increased BMI and survival nonsignificant.

conclusionDisease-related weight loss may be an important and heretofore unknown indicator of poor prognosis in MM. Assessment of weight loss prior to MM diagnosis should become a standard component of the clinical history in patients with newly diagnosed MM. Further research may identify relationships between disease-related weight loss and currently used prognostic factors in MM, further defining the role of this clinical factor in prognostic stratification.

Indexed as

PrognosisWeight LossAdultAgedAged, 80 and overBody Mass IndexFemaleFollow-Up StudiesHumansKaplan-Meier EstimateMaleMiddle AgedMultiple MyelomaObesityProportional Hazards ModelsRisk FactorsBody mass indexMortalityMultiple myelomaObesityOverweightSurvival

Identifiers

PMID24048366
PMCPMC3805147
OpenAlexW2148754922

What OpenQuestion holds

Textmetadata
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.