Evidence map›Paper›PMID 23321203›Full record

ArticleAge and ageing2013

Tumour necrosis factor receptor 1 and mortality in a multi-ethnic cohort: the Northern Manhattan Study.

Jorge M Luna, Yeseon Moon, Khin Liu, Steven Spitalnik, Myunghee Paik, Ralph Sacco, Mitchell S V Elkind

Abstract read
In one paragraph

Article in Age and ageing, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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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

12 citing papers in PubMed.

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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.

Jorge M LunaDepartment of Neurology, Columbia University, New York, NY, USA. jl2708@columbia.edu
Yeseon Moon
Khin Liu
Steven Spitalnik
Myunghee Paik
Ralph Sacco
Mitchell S V Elkind

Funding

Stroke Incidence and Risk Factors in a Tri-Ethnic RegionR37NS029993 · NINDS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI ELKIND, MITCHELL S, SACCO, RALPH L. · 2008 to 2014
$12.1M
NINDS NIH HHS R37 NS29993
6 · The paper itself

Abstract

objectiveto study the association between soluble tumour necrosis factor receptor 1 (sTNFR1) levels and mortality in the population-based Northern Manhattan Study (NOMAS).

methodsNOMAS is a multi-ethnic, community-based cohort study with mean 8.4 years of follow-up. sTNFR1 was measured using ELISA. Cox proportional hazards models were used to calculate hazard ratios and 95% confidence intervals (HR, 95% CI) for the association of sTNFR1 with risk of all-cause mortality after adjusting for relevant confounders.

resultssTNFR1 measurements were available in 1,862 participants (mean age 69.2 ± 10.2 years) with 512 all-cause deaths. Median sTNFR1 was 2.28 ng/ml. Those with sTNFR1 levels in the highest quartile (Q4), compared with those with sTNFR1 in the lowest quartile (Q1), were at an increased risk of all-cause mortality (adjusted HR: 1.8, 95% CI: 1.4-2.4) and non-vascular mortality (adjusted HR: 2.5, 95% CI: 1.5-3.6), but not vascular mortality (adjusted HR: 1.3, 95% CI: 0.9-1.9). There were interactions between sTNFR1 quartiles and medical insurance-status [likelihood ratio test (LRT) with 3 degrees of freedom, Pinteraction = 0.02] and alcohol consumption (LRT with 3 degrees of freedom, Pinteraction < 0.01) for all-cause mortality. In participants with no insurance or Medicaid, those with sTNFR1 in the top quartile had nearly a threefold increased risk of total mortality than the lowest quartile (adjusted HR: 2.9, 95% CI: 1.9-4.4).

conclusionin this multi-ethnic cohort, sTNFR1 was associated with all-cause and non-vascular mortality, particularly among those of a lower socioeconomic status.

Indexed as

AgedAged, 80 and overAlcohol DrinkingBiomarkersBlack or African AmericanEthnicityFemaleFollow-Up StudiesHispanic or LatinoHumansInflammationInflammation MediatorsInsurance, HealthLikelihood FunctionsMaleMedicaidBiomarkersInflammation MediatorsReceptors, Tumor Necrosis Factor, Type ITNFRSF1A protein, human

Identifiers

PMID23321203
PMCPMC3693433

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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.