Evidence map›Paper›PMID 31790569›Full record

ArticleJAMA network open2019

Association of Lymphopenia With Risk of Mortality Among Adults in the US General Population.

David A Zidar, Sadeer G Al-Kindi, Yongmei Liu, Nikolas I Krieger, Adam T Perzynski, Michael Osnard, Christopher Nmai, Donald D Anthony, Michael M Lederman, Michael L Freeman and 3 more

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed, 2 pooled it
5.9field-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

86 citing papers in PubMed, 2 syntheses or guidelines pooled it, 125 citations in OpenAlex.

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26 more citing papers are in PubMed but not listed here.

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

13 authors at 5 institutions in 1 country.

David A ZidarHarrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center, Cleveland, Ohio.
Sadeer G Al-KindiHarrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center, Cleveland, Ohio.
Yongmei LiuDivision of Cardiology, Duke University School of Medicine, Durham, North Carolina.
Nikolas I KriegerDepartment of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio.
Adam T PerzynskiCenter for Healthcare Research and Policy, Case Western Reserve University at MetroHealth, Cleveland, Ohio.
Michael OsnardSchool of Medicine, Case Western Reserve University, Cleveland, Ohio.
Christopher NmaiHarrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center, Cleveland, Ohio.
Donald D AnthonySchool of Medicine, Case Western Reserve University, Cleveland, Ohio.
Michael M LedermanSchool of Medicine, Case Western Reserve University, Cleveland, Ohio.
Michael L FreemanSchool of Medicine, Case Western Reserve University, Cleveland, Ohio.
Robert A BonomoDepartment of Medicine, Louis Stokes Cleveland Veterans Affairs Medical Center, Cleveland, Ohio.
Daniel I SimonHarrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center, Cleveland, Ohio.
Jarrod E DaltonDepartment of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio.
Case Western Reserve University · USUniversity Hospitals of Cleveland · USCleveland Clinic Lerner College of Medicine · USDuke University · USLouis Stokes Cleveland VA Medical Center · US

Funding

Clinical and Translational Science Collaborative of ClevelandKL2TR000440 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI KONSTAN, MICHAEL W. · 2012 to 2016
$11.1M
Modeling and Forecasting Atherosclerotic Risk: A Complex Systems ApproachR01AG055480 · NIA · CLEVELAND CLINIC LERNER COM-CWRU · PI DALTON, JARROD, PERZYNSKI, ADAM THOMAS · 2017 to 2020
$2.8M
NCATS NIH HHS KL2 TR000440NIA NIH HHS R01 AG055480
6 · The paper itself

Abstract

Importance: Immune dysregulation can increase the risk of infection, malignant neoplasms, and cardiovascular disease, but improved methods are needed to identify and quantify immunologic hazard in the general population. Objective: To determine whether lymphopenia is associated with reduced survival in outpatients. Design, Setting, and Participants: This retrospective cohort study of the National Health and Nutrition Examination Survey (NHANES) included participants enrolled from January 1, 1999, to December 31, 2010, a large outpatient sample representative of the US adult population. Associations were evaluated between lymphopenia and other immunohematologic (IH) markers, clinical features, and survival during 12 years of follow-up, completed on December 31, 2011. Spearman correlations, Cox proportional hazards regression models, and Kaplan-Meier curves were used in univariable and multivariable models, allowing for nonlinear associations with bivariate cubic polynomials. Data were analyzed from September 1, 2018, through July 24, 2019. Exposures: Absolute lymphocyte counts (ALC), red blood cell distribution width (RDW), and C-reactive protein (CRP) level. Main Outcomes and Measures: All-cause survival. Results: Among the 31 178 participants, the median (interquartile range) age at baseline was 45 (30-63) years, 16 093 (51.6%) were women, 16 260 (52.2%) were nonwhite, and overall 12-year rate of survival was 82.8%. Relative lymphopenia (≤1500/μL) and severe lymphopenia (≤1000/μL) were observed in 20.1% and 3.0%, respectively, of this general population and were associated with increased risk of mortality (age- and sex-adjusted hazard ratios [HRs], 1.3 [95% CI, 1.2-1.4] and 1.8 [95% CI, 1.6-2.1], respectively) due to cardiovascular and noncardiovascular causes. Lymphopenia was also associated with worse survival in multivariable models, including traditional clinical risk factors, and this risk intensified when accompanied by bone marrow dysregulation (elevated RDW) and/or inflammation (elevated CRP level). Ten-year mortality ranged from 3.8% to 62.1% based on lymphopenia status, tertile of CRP level, and tertile of RDW. A high-risk IH profile was nearly twice as common as type 2 diabetes (19.3% and 10.0% of participants, respectively) and associated with a 3-fold risk of mortality (HR, 3.2; 95% CI, 2.6-4.0). Individuals aged 70 to 79 years with low IH risk had a better 10-year survival (74.1%) than those who were a decade younger with a high-risk IH profile (68.9%). Conclusions and Relevance: These findings suggest that lymphopenia is associated with reduced survival independently of and additive to traditional risk factors, especially when accompanied by altered erythropoiesis and/or heightened inflammation. Immune risk may be analyzed as a multidimensional entity derived from routine tests, facilitating precision medicine and population health interventions.

Indexed as

AdultAgedBiomarkersFemaleHumansLymphopeniaMaleMiddle AgedNutrition SurveysProportional Hazards ModelsRetrospective StudiesRisk FactorsSurvival RateUnited StatesBiomarkers

Identifiers

PMID31790569
PMCPMC6902755
OpenAlexW2989650549

What OpenQuestion holds

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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 OpenQuestion graph.