Evidence map›Paper›PMID 22677072›Full record

ArticleMayo Clinic proceedings2012

Use of nonclonal serum immunoglobulin free light chains to predict overall survival in the general population.

Angela Dispenzieri, Jerry A Katzmann, Robert A Kyle, Dirk R Larson, Terry M Therneau, Colin L Colby, Raynell J Clark, Graham P Mead, Shaji Kumar, L Joseph Melton and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Mayo Clinic proceedings, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
5.8field-weighted citation impact, top 3% 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

48 citing papers in PubMed, 135 citations in OpenAlex.

  1. Performance of hemodialysis with novel medium cut-off dialyzers.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2017
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  5. Expert-Driven Survival Machines: Improving Stratification and Interpretability in Multiple Clinical Cohorts.ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine · 2026
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  11. Optimal Sparse Survival Trees.Proceedings of machine learning research · 2024
    Article
  12. Adaptive Discretization for Event PredicTion (ADEPT).Proceedings of machine learning research · 2024
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  15. Calibration and Uncertainty in Neural Time-to-Event Modeling.IEEE transactions on neural networks and learning systems · 2023
    Article
  16. Review
  17. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 2 countries.

Angela DispenzieriDivision of Hematology, Mayo Clinic, Rochester, MN 55905, USA. dispenzieri.angela@mayo.edu
Jerry A Katzmann
Robert A Kyle
Dirk R Larson
Terry M Therneau
Colin L Colby
Raynell J Clark
Graham P Mead
Shaji Kumar
L Joseph Melton
S Vincent Rajkumar
Mayo Clinic in Arizona · USMayo Clinic · USUniversity of Birmingham · GB

Funding

TISSUE BANK AND CLINICAL/LABORATORY DATABASEP01CA062242 · NCI · MAYO CLINIC ROCHESTER · PI THERNEAU, TERRY M · 1994 to 2009
$12.9M
Rochester Epidemiology ProjectR01AG034676 · NIA · MAYO CLINIC ROCHESTER · PI ROCCA, WALTER A, ST SAUVER, JENNIFER LYNN · 2010 to 2019
$9.5M
Prevalence and Progression of Monoclonal GammopathiesR01CA107476 · NCI · MAYO CLINIC ROCHESTER · PI KUMAR, SHAJI KUNNATHU, RAJKUMAR, S VINCENT · 2004 to 2018
$4.6M
Phase II Trial of Thalidomide in Primary AmyloidosisR21CA091561 · NCI · MAYO CLINIC COLL OF MEDICINE, ROCHESTER · PI DISPENZIERI, ANGELA · 2001 to 2002
$462k
NCI NIH HHS CA107476NCI NIH HHS CA62242NCI NIH HHS CA91561NCI NIH HHS P01 CA062242NCI NIH HHS R01 CA107476NCI NIH HHS R21 CA091561NIA NIH HHS R01 AG034676NIA NIH HHS R01-AG034676
6 · The paper itself

Abstract

objectiveTo determine whether the free light chain (FLC) assay provides prognostic information relevant to the general population.

methodsAfter excluding persons with a known plasma cell disorder, we studied 15,859 Olmsted County, Minnesota, residents 50 years or older in whom unmasked data and samples for FLC testing were available. Baseline information was obtained between March 13, 1995, and November 21, 2003, and follow-up status and cause of death were identified through June 30, 2009. The κ and λ FLC sum (Σ FLC) was evaluated for its ability to predict overall survival. Specific causes of death were also investigated.

resultsIn 158,003 person-years of follow-up, 4348 individuals died. A high Σ FLC was significantly predictive of worse overall survival; the risk ratio for death for those with the highest decile of Σ FLC (ie, ≥ 4.72 mg/dL) was 4.4 (95% confidence interval, 4.1-4.7) relative to the remaining study participants. Multivariate analyses demonstrated that this excess risk of death was independent of age, sex, and renal insufficiency, with a corrected risk ratio of 2.1 (95% confidence interval, 1.9-2.2). The increased mortality was not restricted to any particular cause of death because the observed-to-expected risk of death from most causes was significantly higher among those individuals with an antecedent Σ FLC of 4.72 mg/dL or higher, which is near the upper limit of normal for the test.

conclusionA nonclonal elevation of Σ FLC is a significant predictor of worse overall survival in the general population of persons without plasma cell disorders.

Indexed as

MortalityAgedAged, 80 and overCause of DeathFemaleHumansImmunoglobulin kappa-ChainsImmunoglobulin lambda-ChainsMaleMiddle AgedMinnesotaMultivariate AnalysisPrognosisImmunoglobulin kappa-ChainsImmunoglobulin lambda-Chains

Identifiers

PMID22677072
PMCPMC3538473
OpenAlexW2057722879

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.